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

Preferred skills

Technology->AI-Data science->Databricks Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC

Education

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