Data Scientist

Mahindra And Mahindra Ltd.; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Mahindra And Mahindra Ltd. in Bengaluru seeks a Data Scientist to develop, deploy, and optimize ML models on tabular/text data, with 2–5 years of hands-on experience. Knowledge of CV and NLP with LLMs is a plus.

You will collaborate with cross-functional teams, perform data preprocessing and EDA, build end-to-end ML pipelines, and monitor models in production while documenting workflows for technical and non-technical stakeholders.

Qualifications

• 2-5 years of hands-on ML project experience.
• Exposure to Computer Vision and NLP with LLMs is a plus.
• A strong academic pedigree is highly preferred.

Responsibilities

• Develop, deploy, and optimize ML models for prediction and forecasting tasks on tabular/text datasets.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Perform data preprocessing, feature engineering, and Exploratory Data Analysis (EDA).
• Build end-to-end ML pipelines, including training, evaluation, and serving in production.
• Monitor and maintain deployed models for robustness and performance.
• Implement feedback loop into prediction.
• Drive innovation by exploring cutting-edge ML techniques.
• Document workflows and findings for stakeholders.

Skills

Python

ML algorithms

Data preprocessing

Communication

Education

Bachelor's or Master's in CS/DS/Math/Stats

Tools

Docker

Flask

FastAPI

Cloud ML services

SQL

Job description

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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.
• 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.
• 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.

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