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 TensorFlow, 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., AutoGen, LangChain Agents, LangGraph)
• Data processing: Spark/Databricks or equivalent; batch and streaming (e.g., Kafka).
• Storage: relational and NoSQL; data lakes; vector databases (e.g., FAISS, Pinecone, Weaviate).
• CI/CD (e.g., GitHub Actions, GitLab 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., SageMaker, Vertex AI, AKS).
• Security and Privacy: Experience handling sensitive data (PII), encryption, access controls, secure model serving.
• Search and retrieval: Elastic/OpenSearch, 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.