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Artificial Intelligence Engineer
Job in
Troy, Oakland County, Michigan, 48083, USA
Listed on 2026-02-11
Listing for:
Yochana
Full Time
position Listed on 2026-02-11
Job specializations:
-
Software Development
AI Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
- 3–4+ years hands‑on delivering AI/ML and/or GenAI solutions (training/inference pipelines, RAG/agents, deployment, monitoring, iteration) in production.
- Hands‑on experience with cloud‑native platforms (Azure/AWS) and container orchestration (Kubernetes, Docker) is an advantage.
- Hands‑on experience with Databricks (Azure Databricks and/or Databricks on AWS) for large‑scale data processing, model training, and production pipelines.
- Experience with vector databases (Azure AI Search, Open Search, pgvector, DBX Vector Search, or equivalent).
- Experience with CI/CD, automated testing, and code quality best practices.
- Strong Python engineering skills; ability to build clean, testable, production‑grade services and libraries.
- Generative AI:
Lang Chain, Lang Graph, prompt engineering, retrieval‑augmented generation, embeddings, and LLM evaluation/observability concepts. - Deep learning/ML frameworks:
PyTorch and/or Tensor Flow; applied experience with model training, fine‑tuning, evaluation, and optimization. - Vector databases and search experience with vector indexing/retrieval concepts and platforms such as Azure AI Search, Open Search, pgvector, or equivalent.
- MLOps/LLMOps: MLflow (or equivalent), model registry/versioning, reproducibility, monitoring, and operational readiness.
- Cloud: hands‑on implementation on Azure, AWS, and Databricks (IAM/security, networking basics, managed compute, storage, logging/monitoring).
- Containers and orchestration:
Docker, Kubernetes(or equivalent deployment tooling). - CI/CD:
Git‑based workflows, automated testing, build pipelines, release management, and quality gates. - Strong communication skills and cross‑functional collaboration; ability to translate ambiguous business needs into clear technical deliverables.
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