Senior Data Scientist- 8+yrs, Bangalore only

8+ years of experience building production ML / AI systems, with recent experience in LLMs or AI agents in data science Strong Python engineer with a bias toward clean, scalable, and maintainable code. Proven experience working with unstructured data and images at scale. Hands-on experience with agent patterns (tool use, function calling, planning, memory). Good proficiency and hands-on experience with LLM's and advanced AI models Experience deploying AI systems on AWS, GCP, or Azure in microservices architectures. Thrives in fast-moving startup environments with high ownership and ambiguity. Strong Python skills with focus in data engineering and data analysis. Proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy and Pandas Strong understanding of machine learning models, model training, and hyper parameter tuning Working knowledge of deep learning models, loss functions, and accuracy measures Hands-on proficiency with PyTorch / TensorFlow / Keras Experience in NLP solutions preferred Experience in parsing pdf and text documents preferred Experience with statistical regression, neural nets, deep learning, decision trees, SVM, ensembles is expected Multi-Cloud experience and proficiency with providers AWS, GCP or Azure Comfortable working in a micro services environment Self-motivated, enthusiasm to build next generation AI systems. Roles &

: Analyze product

and come up with data science solutions Identify and develop data engineering scripts (example: parsers) necessary to build training datasets Build deep learning NLP model(s), customize as needed to meet the

Write production quality python code for model development and as well as for inference Ability to think out-of-the-box and implement custom loss functions and quantitative methods to increase accuracy of AI solutions Build and ship AI agent–driven systems that reason, plan, and act across real-world, messy data Design agentic workflows using LLMs, tools, retrieval, and memory to solve high-impact product problems. Work hands-on with unstructured and multimodal data (text, PDFs, drawings, images, logs). Develop multimodal models (text + vision) for document understanding and contextual reasoning. Own AI solutions end-to-end: data pipelines, modeling, deployment, monitoring, and iteration. Write production-grade Python code and rapidly prototype, test, and ship in a cloud-native environment. Take complete ownership of the solution in all phases - analysis, proof of concept, data engineering, model development, model tuning, and model implementation. Note: Please send Cv only, who can attend the interview weekdays, with short notice period (max 15 days only) Job Location: Bangalore (work from office only) (Face to Face Interview only) If this interests you kindly forward, your latest updated profile as reply to this mail & we will call you at your convenient time for provide more details. We would really appreciate if you refer any of your friends and colleagues....!