Principal Data Scientist

Key Responsibilities:

1. Develop and implement advanced AI and deep learning models, focusing on Reasoning Agentic AI, EDA, and Data Science models.
2. Utilize AI services such as OpenAI, Azure AI, and Gemini models to create innovative solutions.
3. Generate insights and reports using AI-driven tools and techniques.
4. Apply Monte Carlo Tree simulation and Graph AI techniques to solve complex problems.
5. Mentor and groom junior team members, fostering a collaborative and innovative environment.
6. Be hands-on with LangChain and Python to develop large-scale enterprise AI solutions.
7. Leverage domain knowledge of ServiceNow and Azure AI services to enhance customer feedback mechanisms.
8. Implement strong data engineering practices, including SLM/LLM, RAG, and Graph RAG skills.

Skills and Experience:

Technical Skills:

1. Over 10 years Machine learning , deep learning and 1-2 years in GENAI , Agentic AI with Production Live projects . not POC’s.
2. Proficiency in Reasoning Agentic AI, EDA, and Data Science models.
3. Expertise in OpenAI, Azure AI services, and GEmini models.
4. Strong knowledge of Monte Carlo Tree simulation and Graph AI.
5. Hands-on experience with LangChain and Python.
6. Familiarity with ServiceNow and Azure AI services.
7. Strong data engineering skills, including SLM/LLM, RAG, and Graph RAG.

Must-Have Skills:

1. Proven problem-solving skills, including computer vision, reasoning, causation, and correlation.
2. Expertise in handling unstructured and structured data insights with hallucination control.
3. Advanced knowledge of evolved Graph RAG and RAG solutions.
4. Strong knowledge of Azure AI services.

Certifications *Anyone of the following

1. Certified Artificial Intelligence (AI) Expert™
2. Certified Generative AI Expert™
3. Applied Generative AI Certificate
4. Certified Prompt Engineer™
5. Machine learning Skills
6. Management skills

Soft Skills:

1. Excellent critical thinking and problem-solving abilities.
2. Strong communication and interpersonal skills.
3. Ability to mentor and lead teams effectively.
4. Adaptability and a continuous learning mindset.
5. Strong organizational and project management skills.

Qualifications:

1. Master’s degree in Computer Science, Data Science, AI, or a related field.
2. Proven track record of developing and deploying AI solutions in a large enterprise environment.
3. Experience with customer feedback mechanisms and improving user experience through AI.
4. Demonstrated ability to work collaboratively in a team-oriented environment.