Principal Engineer Senior Data Scientist

We are looking for a Lead AI Engineer/Senior Data Scientist to join our AI & Tech this role you will lead the design development and delivery of AI solutions leveraging Machine Learning Generative AI and emerging Agentic AI patterns. You will play a key role in driving high-quality engineering practices including code reviews solution design and mentoring while remaining hands-on in development.

Key Responsibilities:

In this role you will operate at the intersection of development technical leadership and delivery execution.

• Design & Develop AI Solutions:
  • Design and build scalable AI/ML solutions using Machine Learning Deep Learning and Large Language Models (LLMs).
  • Contribute actively to development ensuring high-quality production-ready code.
• Code Review & Quality Governance:
  • Lead code reviews and enforce best practices across the team ensuring maintainability scalability and performance of AI systems.
  • Establish coding standards and improve engineering quality.
• Generative & Agentic AI Implementation:
  • Develop and implement Generative AI use cases including RAG pipelines prompt engineering embeddings and LLM integrations.
  • Contribute to building agentic workflows and multi-step reasoning systems.
• Solution Delivery & Business Impact:
  • Deliver AI solutions across business domains (marketing supply chain retail operations) ensuring alignment with business requirements and measurable impact.
• Technical Leadership: Guide junior team members support design decisions and contribute to solution architecture under the guidance of senior architects.
• Cross-functional Collaboration: Work closely with Data Engineers Product Managers and DevOps teams to integrate AI models into scalable production systems.
• Mentorship & Knowledge Sharing: Mentor team members support onboarding and promote best practices across AI/ML development and deployment.

We are seeking a hands-on technical leader who can balance coding code quality ownership and team guidance with a strong focus on delivery excellence.

• Education & Experience:
  • Bachelors or Masters degree in Computer Science AI Data Science or a related field
  • 8 - 9.5 years of experience in AI/ML development and delivery
  • Proven experience in building and deploying production-grade AI/ML solutions
  • Strong experience in code reviews and team-level technical leadership
• Technical Expertise: AI/ML & Advanced Analytics:
  • Strong expertise in Machine Learning Deep Learning and statistical modeling
  • Experience in developing and deploying ML models in production
  • Generative AI & LLMs:
    • Hands-on experience with LLMs (GPT Claude Llama Gemini)
    • Experience in: RAG (Retrieval-Augmented Generation) Prompt Engineering & Context Handling Embeddings & Vector Databases
    • Exposure to agentic frameworks (LangGraph CrewAI AutoGen) is a plus
  • Programming & Engineering:
    • Strong proficiency in Python SQL and software engineering principles
    • Experience with APIs microservices and scalable backend systems
    • MLOps & DevOps:
      • Experience with CI/CD pipelines model deployment and monitoring
      • Familiarity with tools like MLflow Vertex AI or similar platforms
    • Cloud & Data Platforms:
      • Experience with GCP (preferred) or other cloud platforms
      • Understanding of data pipelines data lakes and real-time processing 

Soft Skills & Mindset:

• Technical Ownership: Takes responsibility for code quality delivery and technical decisions within the team
• Collaboration: Works effectively across teams and contributes to a strong engineering culture
• Problem Solving: Ability to break down complex problems and deliver practical AI solutions
• Communication: Clearly articulates technical concepts to both technical and non-technical stakeholders 

Qualifications :

Must have Skills: Data Modeling (Strong) Python (Expert) Generative & Agentic AI Machine Learning o Embeddings & Vector Databases

Remote Work :

No

Employment Type :

Full-time