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Machine Learning Engineer for Generative AI Solutions - Houston, United States - Capgemini
Description
Job Title Gen AI Solutions - Machine Learning EngineerJob Description
As a Senior GenAI Solutions Machine Learning Engineer, you will lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of Generative AI models.
Your role will involve leveraging your extensive experience to design robust, scalable, and innovative data architectures that align with the unique requirements of General Artificial Intelligence (GenAI) applications.
Key Responsibilities
The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes).
Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models.
Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI.
Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations.
Required Skills
Bachelor's degree in computer science, data engineering, or a related field with 5 years experience (Master's preferred).
Proven experience in data engineering, ETL, and database management, QL and data manipulation languages.
Azure, Python, Java, or Scala.
data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark).
highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets
Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career.
For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
About Capgemini
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.
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, cloud and data, combined with its deep industry expertise and partner ecosystem.
The Group reported 2023 global revenues of €22.5 billion.Get The Future You Want |
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace.
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 accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant
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.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Job:
Developer
Organization:
I&D
Title:
Machine Learning Engineer for Generative AI Solutions
Location:
TX-Houston
Requisition ID: 074975
