Senior Engineer - Data Science

• 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.
• 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.
• A strong proficiency in Python is essential for implementing algorithms, model training, and deployment.
• 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.
• Experience with containerization technologies like Docker is critical for creating reproducible ML workflows.
• Collaboration skills are paramount, as the role involves working within cross-functional teams to drive data-driven decision-making.
• Proficiency with version control systems is expected to ensure streamlined development processes.
• 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.
• Holding certifications such as the TensorFlow Developer Certificate and the Google Cloud Professional Data Engineer will be regarded as advantageous.
• Good to have experience with Google Cloud Dataflow for building data pipelines and familiarity with data manipulation techniques relevant to cloud data services.

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