Python Developer - ML/AI Engineer

Responsibilities

• Design, develop, and implement machine learning models using supervised learning techniques.
• 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 including text, voice, images, and tabular data 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.

Requirements

• 3–5 years of in-depth Python expertise in data-intensive or ML-focused environments.
• Proficiency with FastAPI, REST APIs, and Microservices architecture.
• Hands-on experience with PyTorch and RAG (Retrieval-Augmented Generation) solutions.
• Proven experience deploying and maintaining production machine learning models.
• Strong foundational understanding of statistics for model comparison and evaluation.
• Degree in Computer Science, Data Science, or equivalent experience.
• Must currently reside in or near Fremont, CA (no relocation support provided).
• Valid US work authorization required.

Preferred Qualifications

• Experience with Large Language Models (LLMs) or recommender systems.
• Familiarity with other deep learning frameworks.
• Experience managing heterogeneous data pipelines (text, voice, images, tabular).
• Specialized knowledge in computer vision.

Benefits

• Integration with global brands and disruptive startups.
• Access to professional courses and certifications.
• Multicultural work teams and virtual integration events.
• Day off on your birthday.
• Opportunities for growth across different business lines.

About the Company

DaCodes is a firm of experts in software and high-impact digital transformation. With a team of nearly 300 talented professionals, we build innovative solutions for clients across LATAM and the United States, helping both disruptive startups and global brands achieve success through cutting-edge technology.