Full Stack Engineer (AI/ML)

RiseMe; New York (NY); On-site; USD 75,000 - 97,000; Full time

Benefits offered by this job

Vacation days

Health insurance

Retirement plan

Paid time off

Job summary

Capgemini in the United States seeks a senior data engineering specialist to design and deploy data pipelines and AIML data solutions, including support for model development and productionization. You will work with Python and SQL to build data architectures and integrate data-centric APIs and microservices on cloud platforms such as AWS and Azure, in a collaborative Agile environment.

Strong analytical skills and a willingness to learn new technologies are essential for success.

Qualifications

• Bachelor's degree or equivalent in a technology related field such as Computer Science or Engineering.
• 5 to 9 years of demonstrable experience in full stack engineering.
• Experience designing, building, and deploying data pipelines ETL/ELT workflows and AIML data solutions.

Responsibilities

• Design and deploy data pipelines and AIML data solutions including support for model development and productionization.
• Design and consume data-centric APIs and microservices to support AIML model integration and analytics use cases.
• Collaborate in a multi-developer Agile environment, following coding standards and DevOps practices.

Skills

Python

SQL

ETL/ELT

APIs

Microservices

Data pipelines

Cloud platforms

AWS

Azure

Snowflake

Education

Bachelor's degree

Tools

Snowflake

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description

• Bachelors Degree or equivalent in a technology related field eg Computer Science Engineering etc required
• 5 to 9 years of demonstrable experience in full stack engineering
• Proven experience designing building and deploying data pipelines ETLELT workflows and AIML data solutions including experience supporting model development and productionization
• Experience designing and consuming datacentric APIs and microservicesto support AIML model integration and downstream analytics use cases
• Experience designing and implementing data architectures supporting AIML workloads and model data pipelines
• Outstanding Python and SQL skills with deep experience in data engineering
• Extensive experience working with cloudbased data platformsAWS Microsoft Azure with exposure to Snowflakebased data warehousing
• Consistent record of accomplishment of working in collaborative teams to deliver high quality data engineering and analytics solutionsin a multideveloper agile environment following coding standard methodologies and DevOps practices
• Strong analytical technical and problemsolving skills to understand complex customer needs and transactions
• Ability to learn and experiment with new technologies and patterns

The base compensation range for this role in the posted location is: 75000 to 96900

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.