Data Scientist – AI/ML

Job Title:

Experience:

Location:

Senior Data Scientist – AI/ML

Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms for various business use cases.
• Work extensively with

  Databricks

  ,

  Azure ML

  , and Python to build, train, and scale ML models.
• Implement end-to-end

  MLOps

  pipelines for model lifecycle management, including versioning, monitoring, and automation.
• Develop segmentation strategies using supervised and unsupervised learning techniques.
• Containerize ML applications for scalable and repeatable deployment.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Stay updated with the latest advancements in

  AI/ML

  , including

  Generative AI

  and

  LLM fine-tuning

  .

Required Skills and Qualifications:

• 10+ years

  of overall experience in the IT industry, with at least

  6 years in AI/ML and Data Science

  .
• Proficiency in

  Databricks

  ,

  Azure ML

  , and

  Python

  programming.
• Strong understanding of machine learning frameworks and libraries such as Scikit-learn, TensorFlow, PyTorch, etc.
• Hands-on experience in

  segmentation

  ,

  feature engineering

  , and

  model optimization

  .
• Practical knowledge of

  MLOps

  , including CI/CD practices and ML model monitoring.
• Experience in

  containerized deployment

  using Docker and Kubernetes.
• Exposure to

  Generative AI

  concepts and

  Large Language Model (LLM) fine-tuning

  is an added advantage.
• Excellent problem-solving, communication, and collaboration skills.