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Senior AI/ML Tech Lead / Architect - ClinDCast LLC
Software Engineer
Senior AI/ML Tech Lead responsible for designing and delivering enterprise‑grade AI/ML solutions on AWS, building robust data pipelines, and establishing MLOps practices using Python, TensorFlow, PyTorch, SageMaker, and infrastructure‑as‑code tools.
About the role
Key Responsibilities
- Architect end‑to‑end AI/ML platforms on AWS, selecting services such as SageMaker, Glue, Redshift, and Kinesis to meet scalability and security requirements.
- Design, develop, and maintain production‑grade MLOps pipelines, incorporating model training, validation, deployment, monitoring, and continuous improvement.
- Lead a cross‑functional team of data engineers and ML scientists, providing technical guidance, code reviews, and best‑practice standards.
- Implement infrastructure‑as‑code using AWS CDK, Terraform, and CloudFormation to ensure repeatable, auditable environments.
- Optimize machine‑learning models, including large language models, embeddings, and vector search, for performance and cost efficiency.
Requirements
- 15+ years of experience in AI/ML, data engineering, or cloud architecture, with a strong focus on enterprise solutions.
- Proficiency in Python and SQL, and hands‑on experience with TensorFlow, PyTorch, and Scikit‑learn.
- Deep expertise with AWS AI/ML services (SageMaker, Bedrock, Glue, Redshift, Kinesis, Lambda, Lake Formation).
- Solid background in IaC tools such as Terraform, AWS CDK, and CloudFormation.
- Demonstrated ability to build and operate production‑grade MLOps pipelines and lead technical teams.
Skills
pythontensorflowpytorchterraformmlops