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Tech Stack
Tools & technologiesAzureDockerKubernetesNoSQLPythonSQL
About the role
Key responsibilities & impact- Design and implement AI solutions utilizing Azure ML, Cognitive Services, OpenAI, Cognitive Search, and Data Services.
- Develop, fine-tune, and deploy Generative AI models, including LLMs, multimodal models, and diffusion models.
- Integrate and optimize agentic AI frameworks to enhance automation and orchestration processes.
- Implement and manage vector databases to support semantic search and retrieval functionalities.
- Establish and maintain MLOps pipelines for continuous integration and deployment of machine learning models.
- Monitor and optimize model performance in production, ensuring reliability and scalability.
- Collaborate with cross-functional stakeholders to deliver scalable enterprise AI solutions.
- Provide technical leadership and mentorship to team members as needed.
Requirements
What you’ll need- 4–10 years of proven experience in AI/ML engineering.
- Strong expertise in the Azure AI/ML ecosystem.
- Proficient coding skills in Python, with experience in machine learning libraries.
- Basic knowledge of database technologies (SQL, NoSQL) and data handling practices.
- Hands-on experience with Generative AI and agentic AI frameworks.
- Must-have experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS, Weaviate).
- Proficiency in Python, along with frameworks such as LangChain, LangGraph, and Autogen.
- Strong understanding of MLOps principles, including model versioning, monitoring, and lifecycle management.
- Hands-on experience in MLOps and DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
- Strong problem-solving abilities and solution architecture skills.
Benefits
Comp & perks- Competitive salary
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI solutionsGenerative AILLMsmultimodal modelsdiffusion modelsMLOpsPythonmachine learning librariesvector databasesdatabase technologies
Soft Skills
technical leadershipmentorshipproblem-solvingsolution architecture
