Senior ML Engineer

Role Overview: You will be a senior member of the AI/ML Chapter at Vestas, playing a crucial role in designing, building, and scaling advanced GenAI and agent-based systems embedded in digital products. Your responsibilities will involve working closely with product owners, ML engineers, application developers, and business SMEs to develop intelligent workflows using AI/ML techniques. Additionally, you will be responsible for integrating GenAI capabilities into enterprise applications and promoting reusable design patterns for AI systems. Key Responsibilities: - Design, build, and scale GenAI and agentic systems capable of reasoning, planning, and executing complex tasks - Develop intelligent workflows using techniques such as prompt engineering, RAG, context orchestration, and function/tool calling - Integrate GenAI capabilities into enterprise applications for seamless, human-in-the-loop decision-making - Define and promote reusable design patterns, frameworks, and engineering standards for agent-based and generative AI systems - Own end-to-end delivery of GenAI initiatives while advising stakeholders on use case feasibility and responsible AI adoption Qualifications: - Bachelor's or Master's degree in Computer Science, AI Engineering, or related field - 10+ years of experience in software engineering, data analytics, focusing on digital solutions development - 4-6 years of experience in AI/ML solution development, ML engineering, with a focus on NLP and applied GenAI systems - Practical experience with LLM ecosystems, RAG architectures, and knowledge-grounded AI systems - Familiarity with evaluation techniques for LLMs and LLMOps practices - Experience in designing agentic workflows and integrating GenAI solutions into enterprise applications Company Additional Details: Vestas is a major player in wind technology and a defining force in the wind power industry. Their core business involves the development, manufacture, sale, marketing, and maintenance of Wind Turbines, with a global footprint spanning India and Denmark. The AI/ML Chapter at Vestas focuses on building and scaling AI/ML capabilities for high-value and autonomous flow use cases, enabling impactful solutions that bring visibility, optimization, and innovation across the enterprise. Role Overview: You will be a senior member of the AI/ML Chapter at Vestas, playing a crucial role in designing, building, and scaling advanced GenAI and agent-based systems embedded in digital products. Your responsibilities will involve working closely with product owners, ML engineers, application developers, and business SMEs to develop intelligent workflows using AI/ML techniques. Additionally, you will be responsible for integrating GenAI capabilities into enterprise applications and promoting reusable design patterns for AI systems. Key Responsibilities: - Design, build, and scale GenAI and agentic systems capable of reasoning, planning, and executing complex tasks - Develop intelligent workflows using techniques such as prompt engineering, RAG, context orchestration, and function/tool calling - Integrate GenAI capabilities into enterprise applications for seamless, human-in-the-loop decision-making - Define and promote reusable design patterns, frameworks, and engineering standards for agent-based and generative AI systems - Own end-to-end delivery of GenAI initiatives while advising stakeholders on use case feasibility and responsible AI adoption Qualifications: - Bachelor's or Master's degree in Computer Science, AI Engineering, or related field - 10+ years of experience in software engineering, data analytics, focusing on digital solutions development - 4-6 years of experience in AI/ML solution development, ML engineering, with a focus on NLP and applied GenAI systems - Practical experience with LLM ecosystems, RAG architectures, and knowledge-grounded AI systems - Familiarity with evaluation techniques for LLMs and LLMOps practices - Experience in designing agentic workflows and integrating GenAI solutions into enterprise applications Company Additional Details: Vestas is a major player in wind technology and a defining force in the wind power industry. Their core business involves the development, manufacture, sale, marketing, and maintenance of Wind Turbines, with a global footprint spanning India and Denmark. The AI/ML Chapter at Vestas focuses on building and scaling AI/ML capabilities for high-value and autonomous flow use cases, enabling impactful solutions that bring visibility, optimization, and innovation across the enterprise.