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
· 12+ 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.