November 18, 2021

10AM – 4:30PM PT 

Virtual Ai+ Professionals Expo

View Open Roles
Attend Career Lab

Positions Available

Our Hiring Partners have a wide variety of roles they are looking to fill. These are a few sample job titles that are highly attractive:

Principal Data Engineer, Senior Manager (Remote)

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About the role:

This is a post on behalf of the AIPlus hiring partner.

Apply with Job Code # DE0bb57f

You will become a trusted advisor working hand-in-hand with clients, from data owners and analytic users to C-level executives. You will engage in and lead multi-disciplinary teams to deliver complex data / analytic cases across a variety of industries. These cases can range from:

  • Strategic assessment of existing infrastructure and business processes
  • Designing and developing the analytical layer (data warehouse, data lake, ETL, ELT, etc.)
  • Enabling business analysts by understanding their processes and attentively listening to their needs to deliver impactful solutions
  • Supporting data scientists and deploying machine learning models into production
    • Note: You will not be developing machine learning models or algorithms
  • Optimizing non-performant databases, queries, pipelines, and ML models

Who they are looking  for 

Our hiring partner is looking for people who deeply understand business problems and enjoy solving them. You are a driven self-starter who loves working with data and transforming it to pull out valuable business insights. You love building analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices. A Principal Data Engineer will also be expected to be able to completely own and manage all aspects of a client engagement. The ideal candidate will participate in the development of their rapidly growing team, assist in business vertical development, and create new value-driving initiatives for the company.

  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 5+ years working with relational databases and query languages
  • 5+ years building data pipelines in production and ability to work across structured, semi-structured, and unstructured data
  • 5+ years of data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with big data technologies (Spark, Hadoop) preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
 

Project Manager, AI Solutions Factory

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This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # DS81be1b

Our hiring partner is a global research university and the recognized leader in experience-driven lifelong learning. Their world-renowned experiential approach empowers their students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Their locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in their growing global university system. Through this network, they expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

About the Opportunity:

Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions?

They are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. The Institute is built around the challenges and opportunities made possible by human-machine collaboration. They provide a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Their ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable.

Our hiring partner is a global research university and the recognized leader in experience-driven lifelong learning. Their world-renowned experiential approach empowers their students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Responsibilities:

The Culture:

They are committed to the highest of standards in all that they do. Offering opportunities, an environment, a culture that just isn’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want to be part of a unique community that works on high-impact business and societal problems

Summary:

Our partner is looking for an ambitious, performance-oriented individual to manage projects in its leading-edge AI Solutions Factory, for AI/Data Science solution development over real-world problems.

Mirroring the expertise of university academic units, focus areas for the Factory encompass life sciences; finance; data/computer science; cybersecurity, and ethical/responsible AI among others. Within the factory, the Institute will also deliver practicum courses and external learners and will provide a hands-on experience to students through an apprenticeship program. Their goal is to offer a “consulting service” to companies and organizations that are oriented around cohorts as an immersive “residency” type experience. Projects will typically be delivered by staff data scientists and data engineers at the Institute, supported by experts, postdocs, and faculty as necessary.

The Project Manager is responsible for helping organizations leverage data, working with the team of data scientists and engineers to provide valuable direction and insight, for clients/partners to make AI-enabled decisions.

The PM works together with units across the client organization to identify opportunities for innovation and business improvement by applying AI tools and techniques, provide strategic direction, solve focused analytical problems; develop a data strategy and own the end-to-end execution of data science/AI projects. They are also responsible for providing direction, mentorship, and guidance to a team of data scientists and engineers as well as practicum course learners, support their professional and technical development, as well as to foster continuous improvement of the team’s performance. The PM monitors and manages project baseline to ensure activities are occurring as planned – scope, budget, and schedule – manages variances. They proactively identify risks and issues on projects and use project management tools for tracking and reporting.

The successful candidate must think and act quickly in a fast-paced environment while maintaining accuracy and representing The Institute at the highest level.

Qualifications:

Qualifications:

• Bachelor’s degree in Statistics, Operations Research, Mathematics, Physics, Computer Science, or Engineering, or in a related field, Master’s degree is preferred

• 7+ years of experience in Data Science or related fields, preferably in a consulting environment. Comprehensive knowledge of modern data science tools and techniques, including Python and associated data science ecosystem. Candidates for the position must also have broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques

• Advanced quantitative and statistical analysis skills to solve business problems and provide practical business insight using data and a quantitative/scientific approach

• Ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals, and provide mentorship and guidance for the efficient and technical development of the members of the team

• Exceptional verbal and written communication skills to relate with and supervise teams, as well as to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management.

• Experience in higher education is not required.

• Ability to learn and understand current, and future trends, tools, and techniques in the rapidly emerging AI/ML space.

Values & Abilities:

• Innovative thinking and keeping up-to-date on the latest trends of AI.

• Excellent written and verbal skills and ability to communicate effectively across academia and industry.

• Team-player who can collaborate effectively across many teams within the University.

• Open-minded and assertive when collaborating and working within their team and with other groups within the institution

• Entrepreneurial mindset with an ability to navigate complex structures, concepts, and processes

 

Salary Grade:

Salary commensurate with experience.

Additional Information:

Our partner, along with offering comprehensive health benefits and insurance programs, provides a generous tuition benefit allowing full-time benefits-eligible faculty and staff nine credit hours of tuition per academic term. Further information on the tuition benefit can be found here.

Our hiring partner is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Their values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

 

Senior Data Scientist

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This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID #DSf0dea6

Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions?

They are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. The Institute is built around the challenges and opportunities made possible by human-machine collaboration. They provide a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Their ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable. Located in Portland, Maine, with the goal of growing the Maine tech economy, the Institute will be a center of activity for the Institute’s efforts.

Our partner is a global research university and the recognized leader in experience-driven lifelong learning. Their world-renowned experiential approach empowers their students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

This role collaborates with researchers and data scientists from various fields including Applied Analytics, Bioinformatics, Biotechnology, Computer Science, Cybersecurity, Genomics, Health Data Analytics, Law & Ethics, Neuroscience, and Therapeutics discovery. General research and interpersonal skills are especially valued. They are building a new team together to deliver the true promise of AI, which lies at the intersection of humans and intelligent machines.

The Culture:

They are committed to the highest of standards in all that they do. Offering opportunities, an environment, a culture that just isn’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problemsivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems.

Responsibilities:

Summary:

This position supports the Institute in delivering data science and AI projects and expertise to its industry partners and researchers. Assist in delivering data science and AI courses and professional development programs to learners from across the University and industry. Help build AI products that will solve the most pressing issues for organizations including Responsible AI. Be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes, and uses data science strategically to support the Institute’s mission.

Qualifications:

MINIMUM REQUIREMENTS:

Education & Experience:

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics or similar disciplines and 5 or more years of professional experience, or can convincingly demonstrate this level of skill.

Knowledge, Skills and Abilities:

• Proficiency with statistical computer languages such as Python or R.

• Proficiency with relational database systems (SQL) and object-based data stores.

• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

• Professional experience with developing machine learning solutions and applying them in real-world scenarios.

• Proficient in Git and version control.

• Ability to define and solve logical problems for technical applications.

• Knowledge of and ability to select, adapt, and effectively use a variety of programming methods. Preferred Experience:

• Master’s degree in Computer Science, Mathematics, or Artificial Intelligence.

• Experience with distributed data systems such as Apache Hadoop.

• Expertise in analyzing large, complex, multi-dimensional datasets with a variety of tools.

• Proficiency in Linux and version control software (git).

• Familiarity with Object-Oriented programming languages such as Java, C# or C++.

• Familiarity with Agile/Scrum development practices. Values & Abilities:

• Aptitude to independently learn new technologies, prototype, and propose software design and solutions.

• Excellent verbal and written communication skills.

• Drive to learn new technologies, statistical methods, and data manipulation techniques.

• Ability to communicate effectively across academia and industry.

• Team-player who can collaborate effectively across many teams within the University.

• Open-minded and assertive when collaborating and working within their team and with other groups within the University.

• Entrepreneurial mindset with an ability to navigate complex structures and processes.

 

Senior Data Engineer

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This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID #DS921279

Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions?

They are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. The Institute is built around the challenges and opportunities made possible by human-machine collaboration. They provide a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Their ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable. Located in Portland, Maine, with the goal of growing the Maine tech economy, the Institute will be a center of activity for the Institute’s efforts.

Our partner is a global research university and the recognized leader in experience-driven lifelong learning. Their world-renowned experiential approach empowers their students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

This role collaborates with researchers and data scientists from various fields including Applied Analytics, Bioinformatics, Biotechnology, Computer Science, Cybersecurity, Genomics, Health Data Analytics, Law & Ethics, Neuroscience, and Therapeutics discovery. General research and interpersonal skills are especially valued. They are building a new team together to deliver the true promise of AI, which lies at the intersection of humans and intelligent machines.

The Culture:

They are committed to the highest of standards in all that they do. Offering opportunities, an environment, a culture that just isn’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problemsivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems.

Responsibilities:

In this role, you will be responsible for building out key components of data ingestion and transformation, using a combination of strong Java/Scala development skills as well as Big Data processing technologies. As a member of the team, you will be expected to take ownership of individual platform components and help set the vision and architecture for it. In the process, you will identify the requirements of new features, and propose design and drive the solution.

Qualifications:

MINIMUM REQUIREMENTS:

Education & Experience:

Bachelor’s degree in Computer Science, Engineering, or similar disciplines and 5 or more years of professional experience, or can convincingly demonstrate this level of skill

Knowledge and Skills:

• Experience and deep understanding of Big Data processing technologies like Hadoop, Spark, HBase, MapReduce is a must.

• Expertise in Hive, Impala, and NiFi

• Expertise with Cloudera distributions like Cloudera Distribution Hadoop (CDH), Hortonworks Data Platform (HDP), Cloudera Data Flow (CDF), etc.

• Expertise in Java, Scala, and multi-threaded programming

• Experience in Spark modules specifically the core, streaming, and SQL

• Knowledge of the data management eco-system including Concepts of data warehousing, ETL, data integration, etc.

Preferred Experience:

• Experience with cloud and data platforms such as Microsoft Azure, AWS, etc. is a definite plus

• Experience in Apache Kafka, stream processing frameworks like Apache Flink

• Experience with cleaning, aggregating, and pre-processing data from varied sources.

• Experience in Relational databases and NoSQL databases

Values & Abilities:

• Aptitude to independently learn new technologies, prototype, and propose software design and solutions.

• Ability to communicate effectively across academia and industry.

• Team-player who can collaborate effectively across many teams within the University.

• Open-minded and assertive when collaborating and working within their team and with other groups within the University.

• Entrepreneurial mindset with an ability to navigate complex structures and processes.

Data Architect/Senior Data Architect

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agilon health is transforming healthcare by empowering community-based physicians with the resources and expertise they need to innovate the payment and delivery of care for seniors. The agilon health Total Care Model is powered by their purpose-built platform and enabled through a growing national network of like-minded physician partners. With agilon health, physicians are freed from the constraints of the transactional fee-for-service reimbursement model and are able to practice team-based, coordinated care to serve the individual needs of their senior patients and to transition to a sustainable and predictable, long-term business model.

As a member of agilon health’s Technology Group, step into a lead role on an expanding data engineering team to build foundational architecture for their cloud-based data services from the cloud data lake, data ingestion pipelines for bulk, batching, and streaming use cases to data engineering and transformation modules, all running on AWS. This is a great opportunity to help define and implement their data platform strategy on Cloud, have a meaningful impact on their customers, and work in their high energy, innovative, fast-paced Agile culture, in a leading tech company in the healthcare space

Job Functions:

  • The data architect will work with agilon health’s cloud data warehouse platform in a lead role on data architecture, modeling, merging data process, and overall design methodology end to end.

  • Architect and design AWS based data pipelines for ingestion and transformation of data at scale

  • Implement, operationalize and scale their cloud-based data lake to meet critical business and customer needs

  • Responsible for providing design, modeling, development, validation, and process improvement for the evolving cloud data warehouse environment at agilon health.

  • The key responsibility for developing a process for data management, data access, and data storage models.

  • Responsible for support of the SQL environment, performance improvement, capacity planning, cloud cost management, and recommends best practices for query optimization & throughput on the cloud data warehouse

Qualifications: 

  • 8+ years of hands-on experience with architecting, designing, and implementing end to end data services from ingestion, transformation, and access in a cloud environment

  • Hands-on experience working with cloud data warehouse/data lake solutions (Snowflake, Redshift, Google BigQuery, or equivalent platform.

  • Experience in relational databases (e.g., PostgreSQL, MySQL, MS SQL Server, Oracle).

  • Experience working with semi-structured and unstructured data (JSON, XML, etc)

  • Proficiency in data modeling, very good understanding of data management concepts such as 3NF, Dimensional and their specific applications

  • Strong software engineering experience and deep familiarity with programming languages such as Python, Java, Node.js, or equivalent.

  • Deep experience working with at least one public cloud solution AWS, Azure, or GCP.

  • Experience working on BI platforms such as Talend, Informatica, Qlik, Tableau, or equivalent solutions.

  • Preferred experience working in the scrum or agile teams & understanding of CI/CD pipelines.

  • Preferred experience acting or working in a BI consultant role, comfortable working with business leadership across corporate verticals to translate business requirements into data architecture.

  • Preferred experience with health care data sets

  • Undergraduate degree from an accredited 4-year institution.

Data Engineering Intern

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This is a post on behalf of the AI+ Hiring Partner.

Apply with Job ID # 100070

Our Ai+ Hiring Partner startup company seeking a Data Engineering Intern to help build out a greenfield SaaS platform that delivers human capital data to sports executives.  

Startup company intends to radically shift the way the sports industry manages its coaching assets and is in search of a Data Engineering Intern that can wrangle, clean, and manipulate large data sets. This position will work as part of their data and development teams responsible for the input and output of large amounts of data to help build the startup’s greenfield asset management platform. This position is a key component to the success of the company’s product buildout. 

Responsibilities:

  • Work closely with others on the data and development teams, as well as cross-functionally with product, marketing, and business teams to understand project goals.
  • Identify, gather, and transform data from a variety of sources.
  • Normalize complicated data sources to convert potentially unusable data into a format that can be efficiently used by software and/or employees.
  • Provide analyses on data sets to identify trends, issues, and opportunities.
  • Work on efficient data processes while keeping the data as clean as possible.
  • Create efficiencies and reduce resource allocation for routine tasks and procedures.
  • Maintain documentation for best data practices.
  • Learn industry standards and best practices surrounding data analysis to continuously improve our team and systems by implementing them. 
  • Build dashboards, reports, and presentations to share analytical insights with stakeholders and business leaders.

 Additional Responsibilities:

  • Mentor team as it grows and act as a team lead.

Requirements:

  • Pursuing a Degree in a quantitative field (computer science, statistics, engineering, economics, or a related field), a recent graduate, or recently finished a data science Bootcamp.
  • Experience with Python, R, and SQL scripting.
  • Familiarity with web scraping tools and techniques.
  • Self-motivated; independent, organized, and proactive; highly responsive, flexible, and adaptable when working across multiple teams.
  • Comfort working in a fast-paced environment with real-world data that may be ambiguous or incomplete.
  • Strong creativity, critical thinking, presentation skills, and attention to detail.
  • Be legally allowed to work in the US (US citizen, green card, or F1 student visa holder).

Nice to Have:

  • An interest in sports data and analytics.
  • Experience developing algorithms and applying machine learning and statistical modeling using common data science techniques such as clustering, regression – logistical and linear, confidence intervals, and pattern recognition.

Deep Learning Engineer

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This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100054

Our partner is the world’s premier AI and data science platform. As a Deep Learning Engineer on their Core Modeling team, you will work on their machine learning platform and actively contribute to the development of their state-of-the-art preprocessing and modeling capabilities. Core Modeling owns the entire data science backend and is responsible for making sure their models and modeling automation are the best in the world. This leading AI/ML Company has just raised its Series E Funding and is poised for growth in 2021!

They are looking for talented people with excellent engineering skills and deep knowledge of Machine Learning who can analyze problems, develop innovative solutions, and implement them for real-world use on top of their platform.
The company is based around delivering best-in-class data science solutions and this position provides the opportunity to build the key data science components of their system focusing on Deep Learning.

Responsibility:

  • Automate machine learning processes
  • Design and build machine learning models for scalability and accuracy
  • Work on development in the following areas: Image/Video, Text, and Audio processing

Main Requirements:

  • 3-5 years of combined python Engineering / Data Science experience
    • Minimum 1 year of Engineering experience
    • Minimum 1 year of Data Science experience
    • Minimum 1 year of Deep Learning experience
  • Must be a US person

Desired Skills:

  • Experience writing maintainable, testable, production-grade Python code
  • Good command of scientific Python toolkit (NumPy, scipy, pandas, scikit-learn)
  • Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.)
  • Understanding of time, RAM, and I/O scalability aspects of data science applications (e.g. CPU and GPU acceleration, operations on sparse arrays, model serialization, and caching)
  • Software design and peer code review skills
  • Experience with automated testing and test-driven development in Python
  • Experience with Git + GitHub
  • Comfortable with Linux-based operating systems
  • Proficiency in Deep Learning Frameworks( Keras, Tensorflow, Pytorch, Caffe, Mxnet, etc.)

Plus:

  • Experience in semi-supervised/transfer learning
  • Experience working in image/video processing, NLP, time-series signal processing, or audio processing is a plus
  • Contribution to open-source data-science/deep-learning packages
  • Competitive machine learning experience (e.g. Kaggle)
  • Previous experience in deploying and maintaining machine learning models in production

Staff Big Data Engineer

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This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100060

Our hiring partner is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and they’re looking for a Staff Big Data Engineer to join their Data Engineering team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day, and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then this is the place for you!

As a Staff Big Data Engineer you will lead, design, implement and maintain big data pipelines responsible for aggregating tens of billions of daily transactions. You will lead the entire software development lifecycle including hands-on development, code reviews, testing, and deployment for streaming, batch ETL, and RESTful APIs. You will be using cutting-edge Big Data technologies on cloud platforms.  As a senior contributor, you will help guide, mentor, and provide technical leadership to junior team members.

What you’ll get to do:

  • Planning delivery of data pipelines and API endpoints for the company product offerings
  • Architect and build data pipelines and data stores specialized for data science needs
  • Design architecture to streamline data science SDLC
  • Design and implement systems for large-scale data analysis and machine learning
  • Build tools and frameworks for use across the data science and data engineering teams
  • Define and implement best practices and development processes
  • Partner with engineering teams on deployments of data science-driven solutions
  • Participate in training and mentoring of more junior data engineers
  • The ideal candidate is naturally curious, dedicated, detail-oriented with a strong desire to work with awesome people in a highly collaborative environment.

You should apply if you have most of this experience:

Bachelors or Masters in Computer Engineering, Computer Science, Electronics Engineering, or related fields

  • 10+ years of experience designing and building data-intensive applications
  • Hands-on coding experience in an object-oriented language, preferably Java/Scala/Python
  • In-depth understanding of algorithms, scalability, and various tradeoffs in a Big Data setting
  • Expertise in using Big Data frameworks (e.g., Hadoop, Spark) and MPP databases (e.g., Redshift, Snowflake) for complex data assembly and transformation
  • Experience building production level systems in a cloud environment (AWS, Azure, or GCP)
  • Orchestrating data pipelines using tools such as Airflow
  • Knowledge of database technology, SQL, schema design, and query optimization techniques
  • Understanding of full software development life cycle, agile development, and continuous integration
  • Excellent interpersonal and communication skills

What puts you over the top:

  • Digital advertising or web technology experience
  • Experience with Spark streaming or Flink
  • Experience implementing machine learning algorithms
  • Experience with MLOps tools

About the company

Our partner is the global market leader in digital ad verification, offering technologies that drive high-quality advertising media. The company equips advertisers and publishers with both the insight and technology to protect their advertising investments from fraud and unsafe environments as well as to capture consumer attention, and drive business outcomes. Founded in 2009, they are headquartered in New York with global operations in 18 offices across 13 countries. The company is part of the Vista Equity Partners portfolio of software companies.

Equal Opportunity Employer:

Our hiring partner is an equal opportunity employer, committed to their diversity and inclusiveness. They will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or age. They strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities, and veterans to apply.

Cloud Services Engineer

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This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100062

Ready to bring your whole self to work every day? Our partner didn’t get to where they are by hiring ordinary individuals. They got here by hiring the exceptional! They are looking for individuals who are caring, collaborative, driven, insightful, and tenacious to join their team!

Position Summary:

The Cloud Services Engineer is responsible for innovative problem-solving associated with the implementation, management, and support of the company cloud and hybrid infrastructure with an emphasis on performance, security, and automation.

What you will be doing:

  • Provide system administration and operational support of cloud and hybrid workloads, including virtualization, networking, storage, automation, data protection, security, and routine maintenance

  • Develop and build solutions architecture and evaluate architectural alternatives for private, public, and hybrid cloud models, including IaaS, PaaS, SaaS, and other cloud services

  • Ensure technology solutions are implemented for high availability and performance to meet service level agreements, functional requirements, and disaster recovery readiness for business continuity

  • Contribute to the cloud architecture vision and technical roadmaps and promote cloud transformation and improvements

  • Provide technical expertise and ownership in the diagnosis and resolution of an issue, including the determination and provisioning of workaround solutions or escalation to service owners

  • Configure, implement and support an automated workflow for cloud and virtual environment provisioning

  • Develop and maintain a library of detailed configuration and deployment documentation

The education and experience they’re looking for:

  • Bachelor’s degree or equivalent combination of education, professional experience, and certifications

  • Minimum of 5 years experience managing a Windows and VMware enterprise infrastructure, with responsibility in the areas of networking, storage, messaging, and database management

  • Minimum of 1-year hands-on experience supporting Azure, with a strong understanding of core Azure services, Azure workloads, security, and governance

  • Professional certifications such as Microsoft Certified Solutions Associate (MCSA), Microsoft Certified Systems Engineer (MCSE), Azure Fundamentals, Azure Administrator Associate are desirable

  • Demonstrated experience using PowerShell, Azure Active Directory, Azure NSF, Azure Site Recovery, Azure Resource Manager templates, and deploying enterprise workloads to Azure

What skills you should have:

  • Demonstrated knowledge of Windows Server operating systems from Windows Server 2012 to present

  • In-depth technical knowledge of Active Directory Domain Services principles and best practices to complement expertise in Azure Active Directory

  • Demonstrated knowledge of Azure hybrid cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)

  • Excellent written and verbal communication skills with an ability to clearly articulate technical information to non-technical audiences

  • Customer-focused with a commitment to maintaining a high quality of work performed, and a drive for continuous learning

  • Exceptional analytical and problem-solving skills, with an ability to comprehend simple and complex technical issues and translate them into solutions that create value

  • Outstanding collaboration and team-building skills

  • This position may require participation in an on-call rotation for after-hours support

  • This position may require overnight travel within the United States, up to 25%

Still, reading?  Then you should apply! 

EEO Statement

Our hiring partner is an equal employment opportunity employer and does not discriminate based on race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, genetic information, or any other characteristic protected by applicable law.

Machine Learning Architect

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This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100036

As a Machine Learning Architect, you’ll design and deliver innovative Machine Learning solutions on Amazon
Web Services, Azure, and Google Cloud using core cloud data science tools and other big data-related
technologies. This includes helping craft projects in their initial phases and delivering them with a team.

Responsibilities

  • Provide Machine Learning through leadership and vision internally and to clients. Build a sense of data science community and encourage a culture of collaboration and curiosity. 
  • Implement models and algorithms on multiple cloud providers
  • Write in Python, R, or other languages to deliver a wide variety of Machine Learning & Data Science solutions
  • Evaluate and operate new tools, packages, and Machine Learning techniques
  • Collaborate with Solution Owners to apply companies’ agile process and be responsible to lead the initiation, delivery, and transition of projects for your team in a client-facing role 
  • Explains model results to technical and non-technical audiences including leading highly technical presentations. 
  • Partner with local markets and other Build teams
  • Lead and mentor engineers and machine learning practitioners. Leads smaller projects (3 to 5 people) as the technical lead from project initiation to delivery 
  • Share project findings with the wider Machine Learning group
  • Build and maintain relationships with customers
  • Will be delivery-focused approximately 85-95% of the time
  • Willingness to travel up to 50%, at peak times

Qualifications

  • 5+ years of experience implementing models or machine learning algorithms in production
  • Experience on any of these cloud platforms (AWS, Azure, GCP)
  • Experience developing models and other data science work – Python (preferred) or R 
  • Recognized as an authority on a technical topic (e.g. Recommendation Systems) with a generalist familiarity of several AI/ML techniques
  • Ability to lead exploratory data analysis within new subject matters or new data structures
  • Familiarity with Agile project delivery 
  • Excellent verbal and written communication skills
  • Proficiency with both Linux and Windows
  • (Optional) Experience leading a data science or other technical team
  • (Optional) Familiarity with QA processes
  • (Optional) Quantitative graduate degree
  • (Optional) One or more of the following other languages: Java, C#, R, JavaScript, Go, Spark

They are hiring for their offices in North America Locations: Seattle, Toronto, Denver, Boston, Houston, Chicago, Charlotte, Atlanta, Vancouver, New York, Dallas, Silicon Valley, Los Angeles

Engineering Manager, Machine Learning

Show Interest Here

This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100036

As a Machine Learning Architect, you’ll design and deliver innovative Machine Learning solutions on Amazon
Web Services, Azure, and Google Cloud using core cloud data science tools and other big data-related
technologies. This includes helping craft projects in their initial phases and delivering them with a team.

Responsibilities

  • Provide Machine Learning through leadership and vision internally and to clients. Build a sense of data science community and encourage a culture of collaboration and curiosity. 
  • Implement models and algorithms on multiple cloud providers
  • Write in Python, R, or other languages to deliver a wide variety of Machine Learning & Data Science solutions
  • Evaluate and operate new tools, packages, and Machine Learning techniques
  • Collaborate with Solution Owners to apply companies’ agile process and be responsible to lead the initiation, delivery, and transition of projects for your team in a client-facing role 
  • Explains model results to technical and non-technical audiences including leading highly technical presentations. 
  • Partner with local markets and other Build teams
  • Lead and mentor engineers and machine learning practitioners. Leads smaller projects (3 to 5 people) as the technical lead from project initiation to delivery 
  • Share project findings with the wider Machine Learning group
  • Build and maintain relationships with customers
  • Will be delivery-focused approximately 85-95% of the time
  • Willingness to travel up to 50%, at peak times

Qualifications

  • 5+ years of experience implementing models or machine learning algorithms in production
  • Experience on any of these cloud platforms (AWS, Azure, GCP)
  • Experience developing models and other data science work – Python (preferred) or R 
  • Recognized as an authority on a technical topic (e.g. Recommendation Systems) with a generalist familiarity of several AI/ML techniques
  • Ability to lead exploratory data analysis within new subject matters or new data structures
  • Familiarity with Agile project delivery 
  • Excellent verbal and written communication skills
  • Proficiency with both Linux and Windows
  • (Optional) Experience leading a data science or other technical team
  • (Optional) Familiarity with QA processes
  • (Optional) Quantitative graduate degree
  • (Optional) One or more of the following other languages: Java, C#, R, JavaScript, Go, Spark

They are hiring for their offices in North America Locations: Seattle, Toronto, Denver, Boston, Houston, Chicago, Charlotte, Atlanta, Vancouver, New York, Dallas, Silicon Valley, Los Angeles

 

Senior Software Engineer, AI Research

Show Interest Here

This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100036

As a Machine Learning Architect, you’ll design and deliver innovative Machine Learning solutions on Amazon
Web Services, Azure, and Google Cloud using core cloud data science tools and other big data-related
technologies. This includes helping craft projects in their initial phases and delivering them with a team.

Responsibilities

  • Provide Machine Learning through leadership and vision internally and to clients. Build a sense of data science community and encourage a culture of collaboration and curiosity. 
  • Implement models and algorithms on multiple cloud providers
  • Write in Python, R, or other languages to deliver a wide variety of Machine Learning & Data Science solutions
  • Evaluate and operate new tools, packages, and Machine Learning techniques
  • Collaborate with Solution Owners to apply companies’ agile process and be responsible to lead the initiation, delivery, and transition of projects for your team in a client-facing role 
  • Explains model results to technical and non-technical audiences including leading highly technical presentations. 
  • Partner with local markets and other Build teams
  • Lead and mentor engineers and machine learning practitioners. Leads smaller projects (3 to 5 people) as the technical lead from project initiation to delivery 
  • Share project findings with the wider Machine Learning group
  • Build and maintain relationships with customers
  • Will be delivery-focused approximately 85-95% of the time
  • Willingness to travel up to 50%, at peak times

Qualifications

  • 5+ years of experience implementing models or machine learning algorithms in production
  • Experience on any of these cloud platforms (AWS, Azure, GCP)
  • Experience developing models and other data science work – Python (preferred) or R 
  • Recognized as an authority on a technical topic (e.g. Recommendation Systems) with a generalist familiarity of several AI/ML techniques
  • Ability to lead exploratory data analysis within new subject matters or new data structures
  • Familiarity with Agile project delivery 
  • Excellent verbal and written communication skills
  • Proficiency with both Linux and Windows
  • (Optional) Experience leading a data science or other technical team
  • (Optional) Familiarity with QA processes
  • (Optional) Quantitative graduate degree
  • (Optional) One or more of the following other languages: Java, C#, R, JavaScript, Go, Spark

They are hiring for their offices in North America Locations: Seattle, Toronto, Denver, Boston, Houston, Chicago, Charlotte, Atlanta, Vancouver, New York, Dallas, Silicon Valley, Los Angeles

 

*All qualified applicants to our hiring partners are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status or any other protected characteristics.

Current and Past Partners


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