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Experience Level
Mid to Senior
Qualifications
Key Responsibilities:Design and implement advanced machine learning models and algorithms. Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches. Lead and mentor junior engineers and data scientists, fostering a culture of knowledge sharing and continuous improvement. Optimize machine learning workflows for efficiency and scalability. Stay updated with the latest research and advancements in the field of machine learning and AI. Qualifications:Master's or PhD in Computer Science, Engineering, or a related field.5+ years of experience in machine learning and data science. Proficient in programming languages such as Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch). Strong analytical skills with a passion for problem-solving. Excellent communication and teamwork skills.
About the job
About Cognite
Cognite specializes in industrial digitalization and AI, developing data solutions that address complex industry challenges. The team combines deep industrial experience with a suite of AI tools, including accessible low-code AI agents, to speed up digital transformation and drive operational improvements.
The company values curiosity and welcomes those who see obstacles as chances to move forward. Cognite’s goal is to create significant impact across industries, aiming to unlock $100 billion in customer value by 2035. Learn more about their vision in the Moonshot initiative.
The Bengaluru, India office is part of this global effort, where AI, data, and creativity come together to shape a smarter, more connected industrial future.
About Cognite
Cognite is a leading force in industrial digital transformation, specializing in AI and data solutions designed to address the world's most pressing industrial challenges. With a legacy of industrial excellence and a commitment to innovation, Cognite empowers organizations to achieve operational efficiency and unlock unprecedented value from their data.
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