- Senior Engineer - Data Science, with Automotive domain having 6 - 10 years of experience, will lead the design and implementation of advanced data science models and algorithms using Python, PyTorch, and TensorFlow to solve complex business problems.
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The ideal candidate will possess an advanced skill set in data science, machine learning, and artificial intelligence, with a specific focus on deep learning frameworks.
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A strong proficiency in Python is essential for implementing algorithms, model training, and deployment.
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Candidates should be adept at using Google Cloud Platform, particularly Google Cloud Vertex AI and BigQuery, for managing large datasets and leveraging cloud-based services.
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Experience with containerization technologies like Docker is critical for creating reproducible ML workflows.
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Collaboration skills are paramount, as the role involves working within cross-functional teams to drive data-driven decision-making.
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Proficiency with version control systems is expected to ensure streamlined development processes.
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A Master’s degree in Data Science or Machine Learning is required, along with a Bachelor’s degree in Computer Science with a specialization in AI or Data Science.
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Holding certifications such as the TensorFlow Developer Certificate and the Google Cloud Professional Data Engineer will be regarded as advantageous.
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Good to have experience with Google Cloud Dataflow for building data pipelines and familiarity with data manipulation techniques relevant to cloud data services.
AI, Algorithm, Big Query, Collaboration, DATA SCIENCE, Deep Learning, Deployments, DOCKER, GCP, google cloud dataflow, google cloud vertexai, ML, Python, PyTorch, Tekton, Tensorflow, terradata gcp, Version Control Systems
