- 7+ 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 workplace
- Self-motivated, enthusiasm to build next generation AI systems.

Roles & Responsibilities:





- Analyze product requirements 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 requirements
- 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 agentdriven 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)

📌 Senior Data Scientist (Bengaluru)
🏢 Global Technologies
📍 Bengaluru