Capgemini
Overview
Position Title : Gen AI/ML Engineer with Data Engineering Exposure 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
AI/ML Engineer
with a strong background in
Machine Learning (ML), Large Language Models (LLMs), Generative AI (GenAI) , and
Data Engineering . The ideal candidate will have successfully delivered
3–4 end-to-end AI/ML projects , demonstrating expertise in building scalable ML systems and deploying them in production environments. A solid foundation in Python, SQL, PySpark, and NLP technologies is essential. Experience with cloud platforms such as AWS, Azure, or GCP is highly desirable. 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
LLM and GenAI applications , including text summarization, conversational AI, and entity recognition. Build and optimize
data pipelines
using PySpark and SQL for large-scale data processing and feature engineering. Architect and implement
production-grade ML systems
with a focus on performance, scalability, and reliability. Collaborate with cross-functional teams to align AI initiatives with business goals and drive innovation. Mentor junior engineers and contribute to team-wide knowledge sharing and best practices. 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. Proven track record of working on
at least 3–4 AI/ML projects
from concept to production. GenAI & NLP:
Expertise in transformer models (e.g., GPT, BERT), Hugging Face, LangChain. Data Engineering:
Strong experience with PySpark and distributed data processing. Cloud Platforms:
Proficiency in AWS, Azure, or GCP. Strong problem-solving skills and ability to thrive 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: 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 get in touch with your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Salary Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 - $128656/yearly.
#J-18808-Ljbffr
Position Title : Gen AI/ML Engineer with Data Engineering Exposure 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
AI/ML Engineer
with a strong background in
Machine Learning (ML), Large Language Models (LLMs), Generative AI (GenAI) , and
Data Engineering . The ideal candidate will have successfully delivered
3–4 end-to-end AI/ML projects , demonstrating expertise in building scalable ML systems and deploying them in production environments. A solid foundation in Python, SQL, PySpark, and NLP technologies is essential. Experience with cloud platforms such as AWS, Azure, or GCP is highly desirable. 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
LLM and GenAI applications , including text summarization, conversational AI, and entity recognition. Build and optimize
data pipelines
using PySpark and SQL for large-scale data processing and feature engineering. Architect and implement
production-grade ML systems
with a focus on performance, scalability, and reliability. Collaborate with cross-functional teams to align AI initiatives with business goals and drive innovation. Mentor junior engineers and contribute to team-wide knowledge sharing and best practices. 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. Proven track record of working on
at least 3–4 AI/ML projects
from concept to production. GenAI & NLP:
Expertise in transformer models (e.g., GPT, BERT), Hugging Face, LangChain. Data Engineering:
Strong experience with PySpark and distributed data processing. Cloud Platforms:
Proficiency in AWS, Azure, or GCP. Strong problem-solving skills and ability to thrive 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: 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 get in touch with your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Salary Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 - $128656/yearly.
#J-18808-Ljbffr