
Eligibility Criteria
Bachelorβs degree in Computer Science, Engineering, Mathematics, Statistics, or related field. Minimum 60% marks in the qualifying exam. No backlogs allowed. Candidates from 2025, 2026, or 2027 batches are encouraged to apply.

Job Description & Key Responsibilities
Hire Feed, a leading AIβdriven recruitment platform, is partnering with a global technology leader to bring cuttingβedge talent solutions to the market. The company leverages advanced machine learning models to match candidates with the right opportunities, streamline hiring workflows, and provide actionable insights to recruiters worldwide. With a focus on innovation, Hire Feed has built a reputation for delivering highβquality, dataβdriven solutions that transform the recruitment landscape.
The Data Scientist β Python (Remote) role is a fullβtime position that offers the chance to work on realβworld AI applications from anywhere in the world. As a key member of the data science team, you will design, develop, and maintain efficient Python code to train and optimize AI models. Your work will directly influence the performance of the platformβs recommendation engine, natural language understanding modules, and reinforcement learning pipelines.
Key Responsibilities:
1. Design and implement scalable Python solutions for training and fineβtuning machine learning models.
2. Conduct rigorous evaluations to benchmark model performance and analyze results.
3. Evaluate and rank AI model responses across diverse domains to ensure alignment with business criteria.
4. Develop comprehensive explanations and rationales for evaluation outcomes.
5. Lead supervised fineβtuning initiatives, creating highβquality, taskβspecific datasets.
6. Collaborate with researchers, annotators, and product teams to incorporate human feedback into reinforcement learning workflows.
7. Debug production code, resolve performance bottlenecks, and maintain robust technical documentation.
8. Communicate findings clearly in Jupyter notebooks and stakeholder presentations.
9. Stay updated on the latest research in NLP, deep learning, and reinforcement learning.
10. Mentor junior team members and share best practices.
Tech Stack: Python, PyTorch/TensorFlow, scikitβlearn, Jupyter, Git, Docker, AWS/GCP.
Growth Path: Starting as a Data Scientist, you can progress to Senior Data Scientist, Lead Data Scientist, or AI Research Lead, with opportunities to influence product strategy and lead crossβfunctional teams.
Why Join? Youβll work with a global leader, contribute to highβimpact AI solutions, and enjoy a flexible remote work environment that values innovation, continuous learning, and workβlife balance.