Foundational AI/ML & Software Engineering

Strong grounding in ML fundamentals and software engineering, enabling translation of business problems into robust, scalable AI/ML solutions

Experience in designing, building and integrating production-grade systems using modern engineering practices (APIs, microservices, CI/CD, containerization)

Ability to bridge classical ML approaches with emerging GenAI paradigms, applying the right techniques to deliver reliable and maintainable solutions

Effectively leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate prototyping, improve engineering quality and enhance developer productivity

Product Collaboration & Enablement

Ability to work effectively within agile product teams, collaborating in iterative cycles to refine requirements, validate hypotheses and deliver incremental AI/ML value

Ability to drive alignment independently across product, AI/ML engineering, platform and MLOps teams to achieve shared engineering outcomes

Robust capability in early-stage AI/ML solution development, including problem framing, feasibility assessment, rapid prototyping and iterative experimentation

Effective collaboration across geographically distributed teams (Denmark, India, Portugal), with strong cross-cultural awareness and communication

Senior Engineer: 5+ years of experience in software engineering, data or analytics, with strong hands-on experience in AI/ML solution development, including 2-4+ years focused on AI/ML

AI/ML Engineer with focus on solution design, engineering and scaling from prototype to reliable, integrated production systems

Responsibilities

Lead design, development, delivery and scaling of ML,



LLM and agentic solutions to deliver measurable business impact across Vestas value chain

Build and contribute hands-on to robust ML pipelines, workflows and modeling efforts, ensuring reproducibility, strong CI/CD integration, data/feature consistency and high standards for code quality, testing and deployment

Drive integration of AI/ML capabilities into enterprise applications, enabling seamless adoption and value realization

Own and drive system architecture decisions to ensure scalable, reliable, cost-efficient and maintainable AI/ML solutions

Establish and promote reusable frameworks, patterns and engineering standards to improve team productivity and solution scalability across teams

Competencies

Scalable AI/ML Systems & Deployment Engineering

Productionize ML, LLM/GenAI models and agentic systems into reliable, high-performance services with optimized latency, throughput and cost efficiency

Design, build and operate scalable batch and real-time ML pipelines for training & inference with strong reproducibility across environments

Build and orchestrate automated end-to-end ML workflows, integrating CI/CD practices and ensuring data & feature consistency across environments

Lead end-to-end productionization of AI/ML solutions, including enterprise integration via microservices, APIs and Docker based containerization

Apply advanced MLOps practices, including scalable system design, production-grade engineering, ML governance and robust monitoring

Manage full ML lifecycle, including versioning, governance, automated retraining and resilient deployment strategies

Demonstrate hands-on expertise in Git/Azure DevOps and modern build/test/deploy tools, with experience in enterprise ML platforms (e.g., Databricks MLflow, AI Foundry)

📌 AI/ML Engineer Solution Design (Senior Engineer) (Noida)
🏢 HCL INDIA
📍 Noida