AI/ML Engineer

As a Senior AI/ML Engineer, you will play a central role in this transformation. You will be responsible for both building innovative AI-powered product capabilities and elevating AI engineering practices across the Controls Software organization. This role offers the opportunity to influence product strategy, architecture, and engineering excellence while working alongside software engineers, data scientists, and product leaders., * Design, build, and deploy AI/ML models and GenAI capabilities across cloud, edge, and on-premises environments.

• Develop LLM-powered features, including operator copilots, intelligent alarm analysis, automated recommendations, and natural language interfaces.
• Integrate AI capabilities into existing smart products and platforms.
• Develop scalable inference and deployment architectures for production AI workloads.
• Partner with software engineering and product teams to translate business needs into AI-enabled solutions.
• Monitor, evaluate, and continuously improve model performance, reliability, and accuracy.
• Identify and implement AI-assisted developer tools that improve software delivery velocity.
• Leverage AI to enhance code generation, software testing, code reviews, and CI/CD workflows.
• Establish AI engineering best practices, standards, and governance across teams.
• Mentor engineers on AI technologies, frameworks, and implementation strategies.
• Evaluate emerging AI tools and technologies and recommend opportunities for adoption.
• Drive the responsible and practical use of AI throughout the software development lifecycle.

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.

7+ years of software engineering experience with a strong foundation in modern development practices.

5+ years of hands-on experience developing and deploying machine learning solutions.

Experience with Python and common AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.

Experience building and integrating Generative AI and Large Language Model (LLM) solutions.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Strong understanding of software architecture, APIs, data pipelines, and production deployment practices.

skills:

AWS,APIs,AI,AI capabilities,AI workloads,AI-enabled solutions,AI engineering,AI technologies,AI solutions,Familiarity with cloud platforms,code generation,code reviews,CI/CD workflows,data pipelines,GenAI capabilities,Generative AI,Retrieval-Augmented Generation (RAG),Google Cloud Platform,Computer Science,LLM-powered,Large Language Model (LLM),ML models,machine learning solutions,MLOps practices,Azure,model monitoring,industrial controls,developer tools,prompt engineering,Python,PyTorch,Scikit-learn,Agile/Scrum,software architecture,production deployment,software engineering,software development lifecycle,integrating,ML frameworks,TensorFlow,software testing,communication,reliability,automated,Building Automation Systems,business needs,Data Science,governance,AI governance,IoT,Mentor,collaboration skills,tooling,vector databases