Senior AI​/ML Engineer

Position: Senior AI / ML Engineer
Job Title:
Senior AI / ML Engineer

Location:

Onsite 4 days a week - 6035 Parkland Blvd, Mayfield Heights, OH 44124
Duration:
Full time
Top

Skills:



• Python

• Gen AI. LLM, RAG. Agentic AI nice to have.

• Azure, but will accept AWS or GCP.

• ML nice to have.

Qualifications

• 4-year University degree

• Five or more years of experience in Information Technology

• Programming:
Expert in Python and SQL; strong software engineering practices (testing, patterns, performance).

• Classical ML: supervised/unsupervised learning, model evaluation, feature engineering, time series.

• Deep Learning:
PyTorch or Tensor Flow, transformers, CV/NLP pipelines.

• Generative AI: LLMs, RAG, fine-tuning, prompt design, evaluation metrics and guardrails.

• Agentic AI:
Practical experience with concepts such as tool-calling, reasoning loops, task planning or multi-agent orchestration (e.g., Auto Gen, Lang Chain Agents, Lang Graph)

• Data processing:
Spark/Databricks or equivalent; batch and streaming (e.g., Kafka).

• Storage: relational and No

SQL; data lakes; vector databases (e.g., FAISS, Pinecone, Weaviate).

• CI/CD (e.g., Git Hub Actions, Git Lab CI), containerization (Docker), orchestration (Kubernetes).

• Experiment tracking and model management (e.g., MLflow, Weights & Biases, DVC).

• Cloud:
Proficiency with one major cloud (AWS, GCP, or Azure) for training and serving (e.g., Sage Maker, Vertex AI, AKS).

• Security and Privacy:
Experience handling sensitive data (PII), encryption, access controls, secure model serving.

• Search and retrieval:
Elastic/Open Search, knowledge graphs, advanced RAG patterns.

• Ethics and Compliance:
Champions responsible AI and governance.

• Delivery:
On-time, high-quality deployment of ML/LLM features into production.

• Assess current AI/ML assets, data pipelines, and platform maturity; identify quick wins and strategic gaps.