:

- Join a cooperative engineering team where you ll build intelligent reliable and scalable ML GenAI solutions using Python
- In this role you ll work closely with product data and platform teams to take ideas from experimentation to production turning models into real world capabilities that improve user experiences and business outcomes
- You ll contribute to designing robust systems optimizing model performance and ensuring deployments are secure observable and maintainable
- If you enjoy solving ambiguous problems learning fast moving GenAI techniques and delivering practical NLP driven features this is a great opportunity to grow your impact while working in a supportive high ownership culture

Key Responsibilities:

- 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

Technical Requirements:





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

Additional Responsibilities:

- 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
- Strong 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

Preferred Skills:

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

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