Senior AI/ML Engineer

We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions.

We're looking for people who put their innovation work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions.
WHAT YOU WILL EXPERIENCE IN THIS POSITION: As an nVent AI/ML Engineer, you will design, develop, and deploy production AI/ML solutions that deliver measurable business value across our $4B global organization. Working within our Data & Analytics organization, you'll leverage our enterprise Snowflake data platform and AWS infrastructure to build models that address real business challenges. The ideal candidate combines strong ML engineering skills with the ability to translate business problems into technical solutions, deploy production-grade systems, and work effectively with business stakeholders who may have limited AI expertise. Key Responsibilities
. Solution Development
o Partner with business stakeholders to understand challenges and translate those challenges into AI/ML solution delivery
o Design and implement ML models and AI solutions that address specific business problems with measurable ROI (cost reduction, revenue growth, efficiency gains)
o Conduct feasibility assessments for proposed AI use cases, evaluating data availability, technical approach, and expected business value
o Present findings and recommendations to business leaders and technical audiences, adjusting communication style for varying levels of AI literacy
. Model Development & Deployment
o Build, train, validate, and deploy machine learning models using Snowflake ML capabilities and AWS services (SageMaker, Bedrock, Lambda)
o Implement generative AI solutions leveraging large language models (LLMs), Langchain and Streamlit for applications such as document processing, content generation, conversational AI, and knowledge management
o Develop natural language processing (NLP) solutions for text analysis, sentiment detection, entity extraction, and automated classification
o Create computer vision applications for quality inspection, safety monitoring, and document understanding
o Establish MLOps practices including model versioning, monitoring, retraining pipelines, and performance tracking
o Implement human-in-the-loop workflows for high-stakes decisions requiring human oversight
o Design and implement MCP servers to manage structured context for AI agents
. Data Engineering & Platform Integration
o Work within our centralized Snowflake data platform to access and prepare data from multiple source systems
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Create chunking and manage vector databases utilizing Snowflake Cortex to enable efficient semantic search and retrieval for generative AI applications.
o Perform feature engineering, data preprocessing, and data quality validation to ensure model training data meets requirements
Commented [AM1]: @Fogarty, Shane A couple things I think you can add: The role needs someone who knows common machine learning design patterns and can build models in a clear and repeatable way, key being repeatable. It also needs someone who can write and tune prompts for LLM work and understands how small changes can shape model behavior.
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o Build data pipelines that support model training, inference, and monitoring at scale
o Integrate AI/ML solutions with existing business systems through APIs and automated processes
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. Governance & Best Practices
o Follow NIST AI Risk Management Framework principles in all AI development activities
o Document model architecture, training data characteristics, performance metrics, and limitations for governance and audit requirements
o Implement appropriate testing, validation, and error handling for production AI systems
o Support compliance requirements including data privacy (GDPR, CCPA), export controls, and industry-specific regulations
o Contribute to organizational AI standards, best practices, and reusable components
o Participate in cross-functional AI review councils to assess proposed initiatives
o Share knowledge through documentation, internal presentations, and communities of practice
o Stay current with AI/ML advancements relevant to manufacturing and enterprise applications
YOU HAVE:
. A Bachelor's degree in Computer Science, EngineeringAI/ML, Mathematics, or a related quantitative field Master's degree preferred
. 5-8+ years in AI/ML engineering with demonstrable production deployments with measurable business value
. Technical Skills
o Expert proficiency in Python for ML development
o Experience with ML frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn
o Understanding of application of classical ML algorithms (regression, classification, clustering, ensemble methods)
o Experience with model evaluation techniques, cross-validation, hyperparameter tuning, and performance metrics
o Hands-on experience with large language models
o Understanding ofExperience in prompt engineering, retrieval-augmented generation (RAG), and fine-tuning approaches
o Experience implementing chatbots, document understanding, or automated content generation solutions
o Experience in AI agent frameworks like LangChain, LLamaIndex etc
o Experience in AI application frameworks like Streamlit, Gradio, FastAPI etc
o In-depth knowledge of AWS services, including SageMaker, Lambda, EC2, Bedrock, and S3
o Strong understanding of deep learning architectures, natural language processing, and LLM
o Experience with data preprocessing, feature engineering, and model evaluation metrics
o Experience with modern development practices: source control, CI/CD, containerization, code reviews
o Familiarity with software engineering principles: testing, documentation, debugging, performance optimization
. Soft Skills:
o Excellent problem-solving and analytical skills.
o Strong communication and collaboration abilities.
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o Ability to work independently and as part of a team.
o Proven ability to manage multiple projects and meet deadlines.

WE HAVE:

• A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day

  • nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.

  • Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at .

• Commitment to strengthen communities where our employees live and work

  • We encourage and support the philanthropic activities of our employees worldwide

  • Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money

• Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being:

  • Innovative & adaptable

  • Dedicated to absolute integrity

  • Focused on the customer first

  • Respectful and team oriented

  • Optimistic and energizing

  • Accountable for performance

• Benefits to support the lives of our employees

At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth.