Gen AI / ML Engineer (Jersey City)

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 34 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

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 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.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical / dental / vision insurance, 401(k), and any other benefits to eligible employees.

Note : No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Companys sole discretion, consistent with the law.