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AI/ML Engineer

Tech Mahindra (Americas) Inc.
San Jose, CA Full Time
POSTED ON 5/13/2026
AVAILABLE BEFORE 6/11/2026
Job Title: AI/ML Engineer
Location: San Jose, CA
Duration: Fulltime/Permanent position
Job Summary: 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.
Mandatory Skills:
  • 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.
Qualifications:
  • 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.

Salary : $140,000 - $145,000

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