Data Engineer with ML & Gen AI Expertise

Overview

Hybrid
$100,000 - $120,000
Full Time

Skills

Data Architecture
Data Governance
Data Management
Data Warehouse
Business Intelligence
Tableau
NoSQL
MySQL
Microsoft SQL Server
Apache Spark
Artificial Intelligence
Data Engineering
Data Processing
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
PySpark
PyTorch
Python
SQL
Software Development
Programming Languages
Problem Solving
Data Science

Job Details

Position Title : Data Engineer with ML & Gen AI Expertise
Location : Jersey City, NJ (Hybrid)
Experience : 8+ Years Preferred
Employee Type : Full Time with Benefits

 

Job Description:
We are seeking a highly skilled and experienced Data Engineer with a strong background in Machine Learning (ML), MLOps, and Generative AI (GenAI). The ideal candidate will have a proven track record of developing and deploying end-to-end ML solutions in production environments, with deep expertise in Python, SQL, PySpark, and NLP technologies. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a strong advantage.

Key Responsibilities
  • Design, develop, and deploy scalable ML/AI solutions, including robust MLOps pipelines for CI/CD, model monitoring, and governance.
  • Lead the development of GenAI and NLP applications such as text summarization, conversational AI, and entity recognition.
  • Build and optimize data pipelines using PySpark and SQL for large-scale data processing.
  • Architect and implement scalable ML systems for production environments.
  • Collaborate with cross-functional teams to align AI initiatives with business objectives.
  • Mentor junior engineers and contribute to team knowledge sharing.
Required Skills & Qualifications
  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • 7+ years of hands-on experience in ML/AI solution development and deployment.
  • Programming Languages: Python (Pandas, NumPy, PyTorch, TensorFlow), SQL.
  • MLOps Tools: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines.
  • GenAI & NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, LangChain.
  • Data Engineering: Proficient in PySpark and distributed data processing.
  • Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform is highly desirable.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
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 

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 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Capgemini America, Inc.