TATA 1mg Off Campus Drive 2025: TATA 1mg is hiring for Data Science Intern & AI Engineer roles. Candidates with B.E/B.Tech qualifications are eligible to apply for this role. Candidates looking for jobs in Gurugram can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Candidates can also apply for the Agoda Careers.
TATA 1mg Off Campus Drive 2025:
| Job Role | Data Science Intern & AI Engineer |
| Job Category | Off-Campus Drive |
| Qualification | B.E/B.Tech |
| Batch | 2025/2026 |
| Experience | 0 – 3 years |
| Salary/CTC | Best in Industry |
| Job Location | Gurugram |
| Last Date | ASAP |
Detailed Eligibility:
Data Science Intern:
- Candidates must possess a B.E/B.Tech qualifications in AI Machine Learning/Data Science/Others
- Passing Out year: 2025/2026
AI Engineer:
- Candidates must possess a B.E/B.Tech qualifications
- Experience: 1 – 3 years
What are we Looking for?
- Programming: Proficiency in Python and SQL for data analysis and machine learning. Familiarity with libraries like pandas, NumPy, and scikit-learn.
- Machine Learning Frameworks: Hands-on experience with PyTorch, scikit-learn, and transformer-based models.
- Transformers and other deep architectures: Experience working with Hugging Face for NLP tasks or LLM fine-tuning/inference.
- API Development: Basic knowledge of web frameworks (e.g. FastAPI or Flask) to create endpoints for model inference.
- DevOps & Deployment: Comfort with containerization and deployment tools. Experience using Docker to package applications, and understanding of CI/CD pipelines or cloud platforms is advantageous.
- Knowledge of time series, image classification, or text processing techniques is a plus.
- Soft Skills: Strong analytical and problem-solving abilities, good communication skills, and the ability to work in a team-oriented, agile environment. A curious mindset with a passion for staying up-to-date with the latest AI research.
What will you do?
- Model Development: Develop, train, and validate ML models (LLMs and other deep neural networks) for a variety of healthcare use-cases, from image analysis to time series forecasting. You will experiment with SOTA architectures using frameworks like HugginFace, PyTorch, Dart, etc
- Model Deployment: Deploy ML models as scalable APIs or microservices. Leverage tools like FastAPI to build RESTful endpoints and Docker to containerize applications, ensuring models are robust and performant in production environments.
- Data/Error Analysis & Validation: Analyze large datasets (e.g. Inventory/Sales data, Image datasets) to extract patterns and insights that inform model improvements. Validate model outputs against real-world data and ensure accuracy, reliability of AI solutions.
- Collaboration & Reporting: Collaborate with cross-functional teams – from data engineers to business – to gather requirements and deploy solutions. Communicate your findings and model performance through clear documentation, presentations, and dashboards to drive data-driven decision making.
- Vendor Engagement & Collaboration: Work closely with external technology and data vendors to align on solution design, integration, and delivery timelines. Ensure their solutions meet business and technical requirements, and provide feedback or guidance to improve quality and efficiency of joint initiatives.
How to Apply for TATA 1mg Off Campus Drive 2025?
All interested and eligible candidates can apply online as soon as possible by following the link below.
For More Details: Click here.
To Apply:
- Data Science Intern: Click here.
- AI Engineer: Click here.
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