Senior AI ML Engineer
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Job Location:
Mayfield, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
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.
