Sr. Data Scientist, AI Division

2 weeks ago


Mumbai, Maharashtra, India Mahindra & Mahindra Limited Full time ₹ 12,00,000 - ₹ 25,00,000 per year

Roles & Responsibilities:


•    Design and implement scalable, cloud-based data solutions using AWS, Azure, or GCP (mandatory).

•    Build, optimize, and maintain ETL/ELT pipelines for efficient data processing.

•    Manage and design cloud-based data storage systems such as data warehouses and data lakes.

•    Ensure data quality, security, and compliance in cloud environments.

•    Implement real-time and batch data processing frameworks.

•    Analyze large datasets to uncover trends, patterns, and actionable insights.

•    Develop predictive, prescriptive, and descriptive models using advanced machine learning techniques.

•    Build, train, and deploy Generative AI models (e.g., transformers, GANs, diffusion models) for tasks like text generation, image synthesis, and more.

•    Implement GenAI pipelines using libraries and frameworks such as Hugging Face, OpenAI, or PyTorch.

•    Continuously monitor, optimize, and maintain GenAI models in production.

•    Create data-driven solutions for business problems through experimentation and analysis.

Skills and Qualifications

Technical Skills


•    Cloud Expertise (Mandatory):
Proficiency in Cloud (AWS,GCP,AZURE)

•    Programming: Advanced Python skills with experience in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or Hugging Face.

•    Data Engineering: Expertise in SQL and NoSQL databases, data modeling, and big data tools like Spark.

•    GenAI:

  • Deep understanding of transformer architectures (e.g., GPT, BERT, T5).
  • Experience with training and fine-tuning large language models (LLMs).
  • Proficiency in tools like Hugging Face Transformers, LangChain, and OpenAI APIs.


•    DevOps for AI/ML: Knowledge in CI/CD for machine learning and GenAI pipelines, model versioning, and monitoring.

Analytical Skills

•    Strong knowledge of statistics, probability, and machine learning algorithms.

•    Ability to design experiments and implement hypothesis-driven approaches.

•    Proficiency in handling unstructured, structured, and semi-structured data.

Soft Skills

•    Strong problem-solving and critical-thinking abilities.

•    Excellent communication and collaboration skills with a stakeholder-focused approach.

•    Ability to adapt to rapidly evolving technology trends and business needs.

Experience:

•    Mandatory: 5+ years of experience in roles involving cloud platforms, data science, Python development, and experience with GenAI models.

•    Proven track record of designing and deploying scalable cloud-based data solutions and delivering impactful AI/ML and GenAI models.

This role is ideal for professionals passionate about leveraging GenAI models and cloud technologies to drive innovation and deliver transformative business solutions.


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