AI/ML Engineer
- Cognite
- 3 - 8 years
- Bengaluru
- 5 months ago
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Job Description
As an AI/ML Engineer in the ATLAS AI Co-Innovation team, you will help push the technical boundaries of what s possible with industrial GenAI. You ll design and optimize advanced AI models and agent architectures that interact with complex, real-world industrial data. You ll operate at the technical core of customer-facing coinnovation, working closely with solution engineers, product teams, and customer data to build smart, scalable AI components that power next-generation industrial workflows
This role demands strong AI/ML engineering skills, deep curiosity, and the ability to adapt cutting-edge research into usable, high-impact solutions.
Responsibilities
- End-to-End Prototyping Build cross-stack prototypes using ATLAS AI, CDF, and open-source AI frameworks to solve real customer challenges.
- Agent Workflow Design Design and implement multi-agent workflows that combine LLMs, tool use, and reasoning over industrial data.
- Tech Exploration & Integration Evaluate and integrate new GenAI tools, open-source frameworks, and APIs into ATLAS AI workflows.
- System Optimization Benchmark performance, tune retrieval and reasoning pipelines, and ensure scalability in real-world industrial deployments.
- Collaboration & Co-Innovation Work with solution engineers and customer teams to align models and agent behaviors with business value and industrial constraints.
What We re Looking For - Must-Have Skills
- 3+ years of experience in AI/ML engineering, with hands-on delivery of models.
- Proficiency in working with foundation models (LLMs), including :Prompt engineering, evaluation, and (when relevant) fine-tuning.
- RAG pipelines and integration with knowledge bases or vector databases.
- Strong Python skills with experience using frameworks such as LangChain, Transformers, or similar.
- Understanding of cloud-native development, model training workflows, and ML pipeline orchestration (e.g., data labeling, feature selection, model retraining).
- Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.
- A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.
Bonus Skills
- Experience with Cognite Data Fusion (CDF).
- Experience integrating AI workflows with time series, asset hierarchies, or knowledge graphs.
- Deep learning or traditional ML background (e.g., model architecture selection, hyperparameter tuning, evaluation pipelines).
- Understanding of industrial data types (e.g., time series, contextual events, industrial knowledge graphs).
- Experience labeling industrial datasets, including annotation strategies and working with imperfect or sparse labels.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: CogniteLocation(s): Bengaluru+ View Contact
Keyskills: deep learning Version control orchestration Pharma Manager Technology Open source microsoft digital transformation Python
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