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Data & Machine Learning Operations Engineer

On-site Full-time

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Qualifications

The ideal candidate will possess a strong background in data engineering and machine learning operations, with experience in:Building and optimizing data pipelines using tools such as Apache Airflow or similar. Deploying machine learning models using frameworks like TensorFlow or PyTorch. Automating workflows and ensuring data integrity. Proficient in programming languages such as Python or R. Strong analytical skills and attention to detail.

About the job

Join our innovative team at Gravis Robotics as a Data & Machine Learning Operations Engineer. In this pivotal role, you will be responsible for developing and maintaining robust data pipelines and machine learning workflows that drive our cutting-edge robotics solutions. Collaborate with cross-functional teams to enhance our ML models, ensuring they are efficient, scalable, and deployable in real-world applications.

About Gravis Robotics

Gravis Robotics is at the forefront of innovation, delivering advanced robotic solutions that enhance efficiency and productivity across various industries. With a commitment to excellence and a collaborative work environment, we empower our teams to push the boundaries of technology.

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