Senior AI/ML Lead/Architect

Roles and Responsibilities:

• 10+ years of experience in AI/ML, data engineering, or cloud architecture.

• Strong hands on experience with AWS AI/ML services including SageMaker, Bedrock, Glue, Redshift, Kinesis, Lambda, and Lake Formation.

• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit learn).

• Experience with IaC tools (AWS CDK, Terraform, CloudFormation).

• Deep understanding of ML algorithms, LLMs, embeddings, vector search, and model optimization.

• Proven experience building production grade MLOps pipelines.

Code Review & Engineering Leadership

• Demonstrated ability to review, refactor, and improve developers’ code.

• Strong understanding of software engineering principles, design patterns, and testing practices.

• Experience mentoring engineering teams and enforcing coding standards.

Leadership & Advisory Skills:

• Excellent communication skills with the ability to influence technical and executive stakeholders.

• Experience in consulting, customer advisory, or enterprise architecture roles.

• Ability to translate complex technical concepts into business value.

Preferred Qualifications

• AWS certifications (ML Specialty, Solutions Architect Professional).

• Experience with generative AI, LLM fine tuning, and RAG architectures.

• Background in industry specific AI use cases (finance, healthcare, retail, manufacturing).

• Experience leading multi disciplinary teams across data, ML, and cloud engineering.