Job DescriptionJoin a team where data, models, and real-world impact come together. In this role, youll help design and deliver intelligent solutions powered by Python, Machine Learning, and Generative AIturning complex business problems into scalable, production-ready capabilities. Youll 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 modern 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. Youll be encouraged to propose ideas, learn fast, and ship meaningful improvementswhile working in an environment that supports collaboration, quality, and measurable results.

Roles ResponsibilitiesKey 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).

- 35 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 RequirementTransformers, LangChain, Vector Databases, MLOps, Model Monitoring, MACHINE LEARNING, PYTHON, NLP, PYTORCH

Additional ResponsibilityPreferred Qualifications:

- Experience building end-to-end NLP solutions (tokenization, embeddings, vector search, evaluation) for production or near-production use cases.

- Familiarity with up-to-date 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 valuable engineering practic

Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BTech

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

Service LineData Analytics Unit

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