RGM - Data Scientist

Responsibilities

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.

Technical requirements

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

Additional responsibilities

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

Education

Diploma of Applied Science,PhD of Computer Science,PhD of Mathematics,Bachelor of Engineering