Data Scientist (AI/ML)

Company:

Mahindra & Mahindra Ltd Data Scientist (AI/ML) Experience Level: 2-5 years
Location: Bengaluru
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. A strong academic pedigree is highly preferred. Overview:
We are seeking a talented and motivated Data Scientist to join our team.
The ideal candidate will have 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects.
Exposure to Computer Vision and Natural Language Processing (NLP), especially Large Language Models (LLMs), will be a significant advantage. Key Responsibilities:
• Develop, deploy, and optimize ML models for prediction and forecasting tasks on tabular/text datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development.
• Build and deploy end-to-end ML pipelines, including model training, evaluation, and serving in production environments.
• Monitor and maintain deployed models to ensure robustness, scalability, and performance over time. • Implement feedback loop into prediction.
• Drive innovation: Explore, experiment with, and integrate cutting-edge ML techniques and frameworks into projects. • Experience in Computer Vision, NLP, and LLMs in production environment will be a plus.
• Exposure to data volume extremes (high volume, constrained volume) will be a plus. • Document workflows, methodologies, and findings for both technical and non-technical stakeholders.
Key Skills and Qualifications:
Core Expertise: Proficiency in Python and popular ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
Strong understanding of supervised and unsupervised ML algorithms. o Hands-on experience with model deployment tools such as Docker, Flask, FastAPI, or cloud-based ML services (AWS SageMaker, GCP Vertex AI, etc.).
Proficiency in working with structured/unstructured data, SQL. Added Advantage: Experience in Computer Vision (e.g., OpenCV, YOLO, or related frameworks).
Exposure to NLP/LLMs (e.g., Hugging Face, GPT, or BERT).
Familiarity with MLOps practices, CI/CD pipelines for ML, and model monitoring (MLFlow). General Skills: Strong problem-solving skills and attention to detail
Excellent communication skills to convey technical concepts to diverse audiences.
Ability to work in a fast-paced environment and manage multiple priorities effectively.