Title- AI /ML Software Engineer
Location- Fremont, CA- Fully Onsite From Day-1 (Local to bay Area)
Type- Long term Contract-
Mode of Interview- F2F
Job Description-
Software team, where you ll work alongside some of the brightest engineers globally to power critical machine learning models for internal service applications. These applications support Client s service centers, collision centers, global customer relationship management, and insurance claims. As a python developer, you ll tackle complex, ambiguous challenges, transforming them into end-to-end AI solutions that drive Client s mission to accelerate the world s transition to sustainable energy.
Key Responsibilities
Design, develop, and implement machine learning models for service and customer support environments using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
Collaborate with vehicle service operations, energy service operations, and customer support teams to address operational challenges
Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
Work with diverse, heterogeneous datasets (text, voice, images, tabular data) to build scalable solutions
Translate ambiguous problem statements into actionable, end-to-end machine learning models
Follow agile development practices and maintain high standards for clean, modular, and sustainable code
Requirements
In-depth expertise in Python for high-performance, data-intensive applications
Proficiency with at least one modern deep learning framework (e.g., PyTorch, JAX, TensorFlow)
Specialized knowledge in areas such as large language models, recommender systems, or operations research
Strong foundational understanding of statistics for model comparison and performance evaluation
Real-world experience deploying and maintaining production machine learning systems
Passion for writing clean, modular, and sustainable code to transition research into production
Degree in Computer Science, Data Science, or equivalent experience
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