onsite
Senior AI/ML Specialist - Sustainability, Health & Safety - Environmental Resources Management
Software Engineer
Lead the design and deployment of AI accelerators, intelligent agents, and advanced machine learning models for sustainability, health, and safety, leveraging LLMs, BERT, and Microsoft Azure AI technologies.
About the role
Key Responsibilities
- Architect and implement enterprise‑grade AI accelerators and intelligent agents that address sustainability, health, and safety challenges.
- Lead the development of machine learning models, including large language models and BERT‑based solutions, to extract actionable insights from complex environmental data.
- Collaborate with cross‑functional teams to integrate Azure AI services and cloud‑native pipelines into client‑facing digital platforms.
- Mentor and guide junior data scientists and engineers, establishing best practices for model development, validation, and deployment.
- Drive client impact by translating domain expertise into scalable AI solutions and presenting technical outcomes to stakeholders.
Requirements
- 5+ years of hands‑on experience in machine learning, deep learning, and AI solution delivery.
- Proficiency in Python and major ML frameworks (TensorFlow, PyTorch, or similar).
- Demonstrated expertise with large language models, BERT, and Azure AI services (Azure Machine Learning, Cognitive Services, etc.).
- Strong background in sustainability, health, or safety data domains and the ability to apply AI to real‑world environmental problems.
- Excellent communication skills and a track record of leading technical teams in a client‑focused environment.
Skills
pythonmachine learningdeep learning