AI, data & integration jobs worldwide

The Impact you bring to Cognite

Key Responsibilities

• Study, transform, and deploy data science prototypes into production environments, ensuring they are scalable, efficient, and maintainable.

• Architect and write high-quality, scalable, and testable production code (Python, Scala, C++, or Java). Build the robust APIs, distributed big data pipelines, and orchestration layers required to integrate AI into existing industrial master data systems.

• Navigate complex deployment environments. You will optimize inference bottlenecks, manage containerized deployments, and ensure our systems can handle massive volumes of unstructured industrial data reliably.

• Research and implement advanced ML algorithms (e.g., in NLP, Computer Vision) and extend existing ML libraries and frameworks.

• Run tests, perform statistical analysis, and monitor deployed models for performance, drift, and accuracy, implementing retraining strategies as needed.

• Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.

• Provide technical mentorship to junior team members, guide code reviews, and help define technical standards for the team.

Required Skills and Qualifications

• Bachelor’s or Master's degree in Computer Science, Data Science, or a related field (PhD is often preferred for higher-level roles).

• 10+ years of industry experience in machine learning and software development.

• Strong programming skills in Python, C++, or Java.

• Expertise in frameworks like PyTorch, TensorFlow, Keras, or Scikit-learn.

• Familiarity with MLOps best practices and cloud platforms such as AWS, Azure, or GCP.

• Solid understanding of data structures, algorithms, and software architecture.

Preferred Qualifications

• Deep expertise designing complex AI systems from the ground up, including fine-tuned multimodal models for dense diagrams (P&IDs, CAD), Agentic AI for multi-step reasoning, and advanced Graph RAG/Knowledge Graphs.

• Experience architecting modern lakehouses (e.g., Delta Lake, Apache Iceberg) to process and manage massive, complex datasets specific to manufacturing, supply chain, or OT (Operational Technology) environments.

• Proven ability to optimize large language models for maximum throughput and low latency, with experience deploying AI into highly secure, on-premises, or edge environments.

What Sets Senior Roles Apart

• The ability to lead large, complex projects from design through deployment.

• Experience with high-scale machine learning environments, distributed computing, and optimizing model inference latency.

• Translating complex ML concepts into business insights for stakeholders.

Learn more about us

• Impact 2025

• Cognite's Industrial AI: Moonshot

• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.