Design, develop, and deploy TensorFlow-based machine learning models; perform data preprocessing, feature engineering, model evaluation, optimization, and scaling; collaborate with cross-functional teams, document methodologies, and mentor junior engineers to advance generative AI and agentic solutions.
Job Summary
Job Title: AI/ML Engineer
Location: San Jose, CA
Onsite/ Hybrid/ Remote: Onsite
The salary for this role is $130000 to $135000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
Hourly rate is $75/Hr
Job Description:
We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment.
Responsibilities:
"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] ."
Job Title: AI/ML Engineer
Location: San Jose, CA
Onsite/ Hybrid/ Remote: Onsite
The salary for this role is $130000 to $135000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
Hourly rate is $75/Hr
Job Description:
We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment.
Responsibilities:
- Design, develop, and implement machine learning models using TensorFlow to solve complex business problems.
- Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
- Conduct data analysis and preprocessing to ensure high quality input for machine learning algorithms.
- Stay updated with the latest advancements in AI/ML technologies and apply them to enhance existing systems.
- Optimize and fine tune models for performance and scalability.
- Document processes, methodologies, and results to ensure knowledge sharing within the team.
- Mentor junior team members and contribute to a culture of continuous learning and improvement.
- Strong expertise in TensorFlow, Keras and its ecosystem.
- Proficient in Python and relevant libraries (e.g., NumPy, Pandas, Scikit learn).
- Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (e.g., Google Cloud, AWS) for deploying machine learning models.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5 7 years of experience in AI/ML engineering or a related role.
- Proven experience in developing and deploying machine learning models in production environments.
- Excellent communication skills and the ability to work effectively in a team.
"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] ."
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

