onsite
Lead AI and Data Solutions Engineer II - Deloitte
Software Engineer
Lead the design and delivery of AI and data solutions, translating business needs into scalable architectures using Python, machine learning, cloud platforms, and modern data engineering tools.
About the role
Key Responsibilities
- Lead the end‑to‑end design, development, and deployment of AI and data solutions that meet complex business requirements.
- Define and govern architecture patterns, data pipelines, and model lifecycle processes across cloud environments (AWS/Azure).
- Collaborate with cross‑functional teams to translate client objectives into technical specifications and actionable roadmaps.
- Mentor junior engineers, conduct code reviews, and champion best practices in software engineering, MLOps, and data governance.
- Evaluate emerging technologies, prototype innovative solutions, and drive continuous improvement of the AI engineering practice.
Requirements
- 5+ years of experience in AI/ML development and data engineering, with a strong command of Python and SQL.
- Proven expertise in building scalable pipelines using Spark, Docker, and cloud services (AWS or Azure).
- Hands‑on experience with machine‑learning frameworks such as TensorFlow or PyTorch and deploying models in production.
- Solid understanding of architecture design, micro‑services, and MLOps best practices.
- Excellent communication skills and a track record of leading technical teams on client‑facing projects.
Skills
pythonmachine learningsqldocker