AI/ML Engineer
AI/ML Engineer
Posted on :
24-08-2025
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1 Vacancy
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Job Description
About Cognite
Embark on a transformative journey with Cognite a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI an industrial agent workbench and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the the realm of industrial digital transformation we stand at the forefront reshaping the future of Oil & Gas Chemicals Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity and together we forge the path to a smarter more connected industrial future.
Learn more about Cognite here
Our values
Impact: Cogniters strive to make an impact in all that they do. We are result-oriented always asking ourselves.
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good fostering inclusivity and sharing responsibilities for challenges and success.
Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless) facing challenges head-on and viewing setbacks as opportunities for growth.
The Role
As an AI/ML Engineer in the ATLAS AI Co-Innovation team you will help push the technical boundaries of whats possible with industrial GenAI. Youll design and optimize advanced AI models and agent architectures that interact with complex real-world industrial data. Youll 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 Were 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.
Join the global Cognite community!
- Join an organization of 70 different nationalities with Diversity Equality and Inclusion (DEI) in focus
- Office location Rathi Legacy (Rohan Tech Park ) Hoodi (Bengaluru)
- A highly modern and fun working environment with sublime culture across the organization follow us on Instagram @cognitedata to know more
- Flat structure with direct access to decision-makers with minimal amount of bureaucracy
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere across industries
- Join our HUB to be part of the conversation directly with Cogniters and our partners.
- Hybrid work environment globally
Why choose Cognite
Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation when anchored on strong DataOps drives business value and sustainabilityfor clients and allows front-line workers as well as domain experts to make better decisions every single day. We were recognized as one of CNBCs top global enterprise technology startups powering digital transformation! And just recently Frost & Sullivan named Cognite a Technology Innovation Leader! Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins
Apply today!
If youre excited about the opportunity to work at Cognite and make a difference in the tech industry we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
Employment Type
Full-Time
Key Skills
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