AI Engineer
- Posted a day ago
- Be among the first 10 applicants
Job Description
Required Qualifications
- 5+ years of professional machine learning engineering experience with demonstrated production ML systems
- Advanced Python proficiency for ML development, data manipulation, and experimentation
- Strong SQL skills for large-scale data extraction and feature engineering
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Demonstrated expertise in MLOps practices (model versioning, monitoring, retraining pipelines)
- Experience with NLP and document analysis techniques
- Understanding of healthcare compliance requirements (HIPAA, SOC 2, FDA guidelines for software)
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent advanced professional experience
More Info
Key Skills
About Company
Skills:
Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Java, Git, Agile, Scrum, Rest Apis, Python, LangChain, Qdrant, Pinecone, LangGraph, CI/CD, Azure AI Search
Skills:
retrieval-augmented generation (RAG), Large Language Models (LLMs), Apis, Metadata Management, Data Lineage, Sql, Testing Frameworks, Data Quality, Data Governance, Python, agentic AI, model governance, data pipelines, Regulatory Compliance, risk management frameworks, data integrations, Access Control, privacy standards, data processing solutions, responsible AI practices, AI model evaluation techniques, observability
Skills:
Oauth, Java, API design, Google Cloud, Terraform, Containers, Azure, Kubernetes, Authentication, Python, Cloud Engineering, AWS, LLMs, Go, CI CD, Authorization, infrastructure-as-code, SLOs, SaaS services, ModelOps, observability, OIDC
Skills:
Retrieval-Augmented Generation (RAG) systems, Cloud Infrastructure, Python, generative AI applications, data pipelines, AI ML architecture, data sovereignty, LLM-powered solutions, LLM governance, data lakes, AI security, data solutions, enterprise data warehouses, data privacy regulations, intelligent agents
Skills:
Django, Git, Docker, FastAPI, Rest Apis, Python, Kubernetes, AWS, agentic AI frameworks, CI/CD