Python Developer - ML/AI Engineer (Onsite Fremont, CA)

DaCodes•Fremont, CA

3d•Onsite

About The Position

Join an engineering team building machine learning systems for one of the world's most innovative companies in the energy and automotive space. You will design, develop, and deploy production ML models working with heterogeneous datasets — including text, voice, images, and tabular data — and collaborate directly with vehicle service, energy service, and software teams. This is a 6-month contract, onsite in Fremont, CA.

Requirements

Python (3–5 years, high-performance and data-intensive applications)
FastAPI
REST APIs, Microservices architecture
PyTorch
Experience working with RAG (Retrieval-Augmented Generation) solutions
3–5 years of in-depth Python expertise in data-intensive or ML-focused environments.
Real-world experience deploying and maintaining production machine learning models.
Strong foundational understanding of statistics for model comparison and evaluation.
Specialized knowledge in at least one of: large language models, recommender systems, or computer vision.
Degree in Computer Science, Data Science, or equivalent experience.
Passion for writing clean, modular, and sustainable code to bridge research and production.
Strong communication skills to collaborate across multidisciplinary teams.
Ability to work autonomously and take ownership of production systems.
Must currently reside in Fremont, CA or nearby area, NO relocation support provided.
Valid US work authorization required: H1, OPT, EAD, H4, or equivalent.
Position is onsite in Fremont, CA.
Must be available for onsite interview at 901 Page Avenue, Fremont, CA on Friday June 26, 2026 (10am–5pm).
Candidates must bring their own laptop; interview includes a 45-minute coding review.

Nice To Haves

Experience with LLMs or recommender systems.
Familiarity with other deep learning frameworks.
Experience with heterogeneous data pipelines (text, voice, images, tabular).

Responsibilities

Design, develop, and implement machine learning models using supervised learning techniques for design support and implementation.
Collaborate with vehicle service, energy service, and software engineering teams to translate business needs into production-ready ML solutions.
Take ownership of production models, ensuring robust alerting systems and reliable performance in live environments.
Work with diverse, heterogeneous datasets (text, voice, images, tabular) to build and scale ML pipelines.
Translate ambiguous problem statements into actionable, end-to-end machine learning solutions.
Follow agile development practices and maintain high standards for clean, modular, and sustainable code.
Contribute to a culture of engineering excellence, curiosity, and continuous improvement.

Benefits

Integration with global brands and disruptive startups.
Remote/Home office work.
In cases requiring hybrid or in-person work, you will be informed from the first session.
Schedule aligned to your assigned work cell/project.
Monday to Friday schedule.
Day off on your birthday.
Major medical expenses insurance (applies to Mexico).
Life insurance (applies to Mexico).
Multicultural work teams.
Access to courses and certifications.
Meetups with special guests from the IT industry.
Virtual integration events and interest groups.
Opportunities across our different business lines.
Proudly certified as a Great Place to Work