Principal ML Engineer
Cognite - AI for IndustryResponsibilities
- Transform data science prototypes into scalable, efficient, and maintainable production systems.
- Design and write high-quality, scalable, testable production code and build APIs, distributed big-data pipelines, and orchestration layers.
- Optimize inference bottlenecks and manage containerized deployments handling large volumes of unstructured industrial data.
- Research and implement advanced machine-learning algorithms in areas such as NLP and computer vision.
- Test and statistically analyze deployed models, monitor performance, drift, and accuracy, and implement retraining strategies.
- Collaborate with data scientists, software engineers, and product managers to align ML solutions with business goals.
- Lead complex projects from conception through deployment, mentor engineers, guide code reviews, and define technical standards.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, or a related field is required; a PhD is often preferred for higher-level roles.
- At least 10 years of industry experience in machine learning and software development.
- Strong programming skills in Python, C++, or Java.
- Expertise with PyTorch, TensorFlow, Keras, or Scikit-learn.
- Familiarity with MLOps practices and cloud platforms such as AWS, Azure, or GCP.
- Solid understanding of data structures, algorithms, and software architecture.
- Preferred experience designing multimodal models, agentic AI, Graph RAG, and knowledge graphs.
- Preferred experience architecting Delta Lake or Apache Iceberg lakehouses for large industrial datasets.
- Preferred experience optimizing large language models and deploying AI in secure, on-premises, or edge environments.
Categories
About Cognite - AI for Industry
Cognite is the only Industrial Data and AI platform built for scaling. We help Energy, Manufacturing, and Power & Utilities companies break down data silos and turn complex operational data into actionable, enterprise-wide value. Why Cognite? Unify: Cognite Data Fusion® unifies OT, ET, and IT data into a real-time Industrial Knowledge Graph. Automate: Cognite Atlas AI™ deploys low-code Industrial AI Agents to supercharge SME capacity. Deliver(2025): We drive a 400% ROI (Forrester) and have identified over $1B in customer value in the past year alone. Our Moonshot We are on a mission to deliver $100 billion in realized customer value by 2035. From increasing production uptime to reducing downtime by 30%, Cognite provides the foundation to scale AI solutions across every asset and site. Founded in 2016, we now number 700 strong, including some of the best software developers, data scientists, designers, and 3D specialists in the field. Get to know us better: Make data do more: makedatadomore.cognite.com/ Twitter: @CogniteData Facebook: @CogniteData IG: @CogniteData Youtube: /c/cognite