Sr. Data Scientist, AI Division at Mahindra & Mahindra Limited

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Expertise, Python, Data Engineering, GenAI, DevOps for AI/ML, Statistics, Machine Learning, Data Processing, Data Quality, Data Storage, ETL/ELT, Predictive Modeling, Real-time Processing, Collaboration, Problem-solving, Critical Thinking

Industry

Motor Vehicle Manufacturing

Description

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.

Responsibilities

The Sr. Data Scientist will design and implement scalable, cloud-based data solutions while managing data storage systems and ensuring data quality. They will also analyze large datasets and develop advanced machine learning models, including Generative AI models.