
Chief Machine Learning Architect
6 hours ago
Machine Learning Engineering Leadership Role
We are seeking a highly skilled and experienced Machine Learning (ML) Engineer to lead the development and deployment of ML solutions across the organization.
Key Responsibilities:
- Design and develop scalable AI/ML systems, integrating advanced AI solutions into enterprise workflows.
- Architect and implement MLOps pipelines using Azure ML, Azure Databricks, MLflow, and CI/CD workflows.
- Develop LLM-based solutions, including Retrieval-Augmented Generation (RAG) and prompt engineering for enterprise use cases.
- Collaborate with product managers, data engineers, and business stakeholders to align AI solutions with organizational goals.
- Apply software engineering and design principles to ensure reusable, testable, and maintainable ML code.
- Stay up to date with advancements in AI/ML, especially in Generative AI, Agentic AI, and LLMs, and evaluate them for practical application.
Requirements:
- 8+ years of experience in Machine Learning, Software Development, and Data Analytics.
- Proficient in Python, SQL, and C#, with a strong background in software engineering.
- Hands-on experience with Azure ecosystem (Azure ML, Azure Data Factory, Azure Functions).
- Strong experience in Azure Databricks, Spark, and distributed data processing.
- Expertise in LLM integration, RAG pipelines, and prompt engineering for generative AI applications.
Work-Life Balance and Professional Growth
- Competitive salary package.
- Opportunities for professional development and growth.
- Collaborative work environment.
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