Senior Data Scientist AI/ML Engineering

vision-driven AI/ML Engineering Leader

Key Responsibilities

• AI/ML Strategy & Transformation

• Define and execute AI/ML roadmaps aligned with business KPIs.
• Lead enterprise-scale transformations by architecting end-to-end machine learning ecosystems.

• Generative AI & LLM Solutions

• Design and implement

  Retrieval-Augmented Generation (RAG)

  solutions and agentic AI workflows.
• Fine-tune LLMs for domain-specific applications and optimize inference efficiency using quantization and PEFT techniques.

• MLOps & Model Lifecycle Management

• Build scalable CI/CD pipelines for model deployment and monitoring.
• Develop explainability dashboards and ensure compliance with ethical AI governance.

• NLP & Text Analytics

• Deliver advanced NLP solutions leveraging transformer-based architectures for knowledge management and automation.

• AI Integration with ITSM Platforms

• Implement AI-driven service transformation for platforms like ServiceNow, enabling intelligent incident management and anomaly detection.

• Cloud-Native AI Development

• Architect and deploy AI solutions on AWS SageMaker and Bedrock environments.

• Data Engineering & Governance

• Design scalable ETL pipelines and enforce data governance standards for AI readiness.

• Leadership & Mentorship

• Foster high-performing global teams and promote AI adoption through ethical practices and cross-functional collaboration.

Required Skills & Qualifications

• Technical Expertise:

  Python, R, TensorFlow, PyTorch, LangGraph, AWS Bedrock, SageMaker.

• AI/ML Specialization:

  LLM fine-tuning, RAG, Generative AI, NLP, Vision AI.

• MLOps Proficiency:

  CI/CD pipelines, model monitoring, explainability, compliance frameworks.

• Cloud Experience:

  AWS cloud-native AI development.

• Soft Skills:

  Strategic thinking, leadership, mentoring, and stakeholder management.

• Experience:

  15+ years in IT/consulting with at least 5+ years in AI/ML engineering leadership roles.

Preferred Qualifications

• Experience in

  agentic AI workflow design

  and

  autonomous systems

  .
• Proven track record of delivering

  enterprise-scale AI transformations

  .
• Familiarity with

  ethical AI governance

  and regulatory compliance frameworks.