SKILLS – MUST HAVE:

- Design, build, and deploy Hyperscalers-based (Azure, AWS, GCP or Databricks) ML models, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics – Expert

- Implementation of Generative AI models for business solutions and experience on Azure Open AI, AWS Bedrock or Vertex AI or open-source models – Expert

- Python programming with robust code – Expert

- Developing a framework or generic pipeline to retrieve, optimize, and deploy Open-Source Models – Expert

- Explore and design a reference architecture for developing virtual assistants using foundation models – Expert

- Familiarity with deep learning, machine learning and frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.) – Working knowledge

- Understanding of LLMs and Gen AI especially as applied to text and image analysis and training – Working knowledge

- Experienced in fine-tuning of LLM models, implementation of AI Guardrails and Responsible AI Framework (explainability, bias detection, hallucination control) – Working knowledge

- Experienced in implementing LangChain Frameworks – Working knowledge

- Linux, HTTP/ REST – Working knowledge

- Cloud Technologies – At least one of GCP, AWS, Azure

- JIRA,



Conflence – Working knowledge RESPONSIBILITIES:

- Invent, research, envision, design, solution and deliver AI/ ML applications at scale delivering measurable value

- Build end-to-end AI/ ML solutions: Develop, refine, implement, customize and deploy state-of-the-art Machine Learning algorithms and systems, and AI models

- Designing, developing, and researching Machine Learning systems, models, and schemas through data science and data analytics prototypes.

- Continuous learning – Certifications.

- Incubation mindset – Research oriented, ability to deliver quick POC’s, and come up with ideas.

- Communication and Documentation – Ability to share knowledge, conduct presentations and sessions, talk to clients and stakeholders, write good-quality technical documentation.

- Problem Solving – Technical depth in solving real-world problems with appreciation of business imperatives.

SKILLS – POSITIVE TO HAVE:

- Linux shell-scripting

- Multilingual NLP SOFT SKILLS:

- Good communication

- Ability to work in a team as well as independently deliver modules

- Team player LEADERSHIP SKILLS:

- People Leadership: Able to lead and mentor a team of :10-15 people

- Thought Leadership: Having papers published in renowned journals, presentations in conferences, patent-filing preferred

📌 RGM - Data Scientist (Bangalore East)
🏢 Infosys
📍 Bangalore East