AI/ML Graduate Hire

We are looking for a passionate and technically strong AI R&D Engineer to join our Artificial Intelligence research and dev team. The ideal candidate will have a solid academic foundation in mathematics and computing, along with strong programming skills and experience or interest in machine learning, NLP, and generative AI technologies. You will work closely with senior engineers to prototype, evaluate, and deploy intelligent systems that impact real-world applications.

Candidate Profile

Education

• M.Tech or 5-Year Integrated PG Program in Theoretical Computer Science / Computational Maths / Data Science / AI
• B.E./B.Tech in Computer Science from reputed colleges (JEE Main Percentile above 97) and CGPA ≥ 9.0 / 10.0 (or equivalent on any gradepoint scale)

Technical Skills & Competencies

• Strong foundation in statistics, algorithms, and data structures

• Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)

• Strong AI and Machine learning foundations

• Experience with SQL and NoSQL databases

• Skilled in building Flask APIs for AI services

• Exposure to Agile/Scrum development culture

• Up-to-date on recent trends and tools in AI/NLP

Project Work - Good to Have (Illustrative List)

In absence of experience, candidate can demosntrate relevant skills through projects as part of course work.

1. Final-Year Project – “Credit-Default Prediction on Consumer-Loan Portfolios”

- Built end-to-end MLOps pipeline (feature store → model registry → Docker deployment on AWS)

- Achieved AUC-ROC of 0.88, outperforming baseline by 6 percentage points

2. Deep-Learning Lab Project – Image-Based Deforestation Detection (2024)

- Used ResNet34 + Grad-CAM for model explainability

3. NLP Hackathon – Indic Sentiment Analysis (2023)

- Fine-tuned multilingual BERT model

What You’ll Gain

• Opportunity to work on meaningful AI research and product features

• Mentorship from experienced AI/ML practitioners

• Hands-on exposure to building and deploying intelligent AI systems

• Platform to publish or present work in internal forums