- Primary skills:Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->OpenSystem->Python - OpenSystem->Python

Key Responsibilities
- Develop and maintain Python-based ML/GenAI components for NLP use cases, from prototyping to production-ready implementations.
- Build and fine-tune models using PyTorch, focusing on accuracy, latency, and resource efficiency.
- Design data preprocessing and feature engineering workflows for text datasets, ensuring quality and reproducibility.
- Implement evaluation strategies for NLP/GenAI outputs, track metrics, and iterate based on measurable results.
- Collaborate with cross-functional teams to translate requirements into model/system designs and deliverables.
- Troubleshoot model and pipeline issues, perform root-cause analysis, and improve system reliability.
- Write clean, maintainable code with appropriate documentation, tests, and version control practices.

Minimum

Qualifications:

- Bachelor’s/Master’s degree (or equivalent) in Engineering/Computer Science or related field (BE/BTech/MSc/MCA/MTech).




- 2–3 years of hands-on experience building ML solutions using Python.
- Practical experience with NLP concepts and workflows (tokenization, embeddings, text classification, sequence modeling).
- Working knowledge of PyTorch for training, fine-tuning, and inference.
- Solid problem-solving skills and ability to collaborate effectively with engineering and data stakeholders.

Preferred

Qualifications:

- Experience with transformer-based NLP/GenAI approaches (fine-tuning, prompt-based workflows, evaluation techniques).
- Exposure to MLOps practices such as experiment tracking, model versioning, and reproducible training pipelines.
- Familiarity with deploying ML models as services and optimizing inference performance.
- Experience working with modern data/ML tooling for dataset handling, training acceleration, and scalable experimentation.
- Demonstrated ability to communicate trade-offs and results clearly to technical and non-technical stakeholders.

Good to have skills: Hugging Face Transformers, LangChain, Vector Databases (FAISS/Pinecone), MLflow, Docker

📌 Python ML /GenAI (Bengaluru)
🏢 Infosys
📍 Bengaluru