Python ML /GenAI

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 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. 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. Technical Requirements: Transformers, LangChain, Vector Databases, MLOps, Model Monitoring, MACHINE LEARNING, PYTHON, NLP, PYTORCH 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. Preferred Skills: Technology->AI-Data science->Amazon ML,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->OpenSystem->Python - OpenSystem