AI/ML Engineer

17 hours ago

Chennai, Tamil Nadu, India The Whiteboard Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

The Whiteboard is a leading provider of training and staffing solutions, focused on bridging the gap between industry needs and professional expertise. Specializing in emerging technologies, we empower businesses and individuals with cutting-edge upskilling programs and seamless talent acquisition services. Our solutions are designed to provide agile and tech-savvy talent for businesses while fostering innovation and career growth for professionals. At The Whiteboard, we are shaping the future of workforce readiness and digital transformation, ensuring excellence for organizations and individuals alike.

Role Description

This is a full-time remote role for an AI/ML Engineer. The AI/ML Engineer will be responsible for designing and implementing machine learning models, developing algorithms, improving data-driven systems, and applying neural network principles to solve real-world challenges. Responsibilities also include conducting research to create innovative tools and contributing to enhancing organizational capabilities in artificial intelligence and machine learning.

Qualifications

Required Skills & Experience

  • 5+ years of hands-on AI/ML development & deployment.
  • Strong experience with Azure AI stack:
  • Azure Machine Learning (pipelines, ML-Ops, model registry, monitoring).
  • Azure AI Search (vector DB, embeddings, semantic ranking).
  • Azure OpenAI (prompt engineering, fine-tuning).
  • Azure AI Services (translation, text analytics, anomaly detection).
  • Azure Document Intelligence (OCR, form recognition, entity extraction).
  • Strong programming experience in Python (PyTorch, TensorFlow, scikit-learn).
  • Experience with ML-Ops best practices (CI/CD for ML, model lifecycle, drift detection).
  • Hands-on with data engineering pipelines (Azure Data Factory, Event Grid, Databricks).
  • Prior experience in model training, fine-tuning, and deployment at scale.
  • Good understanding of regulatory compliance (21 CFR Part 11, GDPR) for AI systems.
  • Familiarity with LLM integration in enterprise apps (e.g., GPT, embedding models).

Preferred Skills (good to have)

  • Prior experience in Life Sciences / Clinical Trials / Quality Systems.
  • Experience with multi-tenant SaaS AI systems.
  • Strong understanding of Responsible AI principles.
  • Work with the data engineer to fine tune data ingestion pipelines built us using Azure Data Factory & Event Grid.
  • Ensure compliance for data storage, audit trails, and model versioning.
  • Implement AI explainability for regulatory transparency (why a model flagged a risk or document deviation).
  • Maintain audit-ready documentation for models (training data lineage, version control, performance metrics)

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