:

- Join a team where data models and real world impact come together
- In this role you ll help design and deliver intelligent solutions powered by Python Machine Learning and Generative AI turning complex business problems into scalable production ready capabilities
- You ll collaborate closely with engineers data scientists and stakeholders to build experiments validate outcomes and continuously improve model performance
- If you enjoy working hands on with contemporary ML GenAI techniques exploring NLP driven use cases and contributing to a culture that values curiosity ownership and teamwork this is a great place to grow
- You ll be encouraged to propose ideas learn fast and ship meaningful improvements while working in an environment that supports collaboration quality and measurable results

Key Responsibilities:

- Key Responsibilities
- Build train evaluate and iterate Machine Learning models using Python for structured and unstructured data use cases
- Develop and optimize GenAI solutions prompting evaluation and tuning approaches aligned to business needs and responsible AI practices
- Implement NLP pipelines for text preprocessing feature extraction embeddings classification summarization or information retrieval tasks
- Perform data exploration cleaning and transformation to ensure high quality inputs for ML GenAI workflows
- Define evaluation metrics run experiments analyze results and communicate insights to technical and non technical stakeholders
- Collaborate with cross functional teams to translate requirements into technical designs and deliverables
- Support deployment readiness by packaging models documenting workflows and assisting integration with downstream systems




- Monitor model performance and data drift and contribute to continuous improvement through retraining and refinements
- Minimum Qualifications
- Education BTECH MTECH MCA MSC or equivalent
- 3 5 years of experience applying Machine Learning using Python in real world projects
- Strong proficiency in Python for data processing modeling and experimentation
- Hands on experience with ML concepts supervised unsupervised learning feature engineering model validation
- Working knowledge of Generative AI concepts and practical implementation approaches
- Exposure to NLP techniques and text based modeling workflows
- Ability to communicate clearly collaborate effectively and document solutions for reuse and maintainability

Technical Requirements:

- Transformers LangChain Vector Databases MLOps Model Monitoring MACHINE LEARNING PYTHON NLP PYTORCH

Additional Responsibilities:

- Preferred Qualifications
- Experience building end to end NLP solutions tokenization embeddings vector search evaluation for production or near production use cases
- Familiarity with modern GenAI patterns such as retrieval augmented generation RAG prompt engineering and response quality evaluation
- Experience with ML GenAI experimentation frameworks reproducibility practices and model governance basics
- Strong understanding of model performance tuning error analysis and iterative improvement cycles
- Ability to work with stakeholders to refine problem statements define success metrics and deliver measurable outcomes
- Prior experience contributing to scalable maintainable analytics ML codebases with good engineering practic

Preferred Skills:

Technology->AI-Data science->Amazon ML,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->OpenSystem->Python - OpenSystem

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