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

SKILLS –
- GOOD 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 (Bengaluru)
🏢 Infosys
📍 Bengaluru