AI/ML Engineer
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.

Senior AI/ML Lead/ at Talent Marysville, Ohio
disABLEDperson Inc · Marysville, OH, USA ·
- Job type:
- Full Time