We are searching for a Senior Data Scientist (AI/ML) passionate about solving real-world challenges in new ways. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply.

Work at Exadel - Who We Are

Since 1998, Exadel has been engineering its products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel has 2,000+ employees in development centers across America, Europe, and Asia. People drive Exadel’s success and are at the core of our values.

Requirements

• 5+ years of experience in Data Science and Machine Learning
• Proven ability to initiate and lead Machine Learning projects from scratch - from problem analysis and data collection to Proof of Concept (PoC) and production deployment
• Strong expertise in Generative AI, including Retrieval-Augmented Generation (RAG) applications and Prompt Engineering
• Proficiency in Python, along with key libraries such as Pandas, Scikit-learn, Matplotlib, and SQL
• Deep understanding of Machine Learning algorithms, their limitations, and best use cases
• Experience setting up MLOps pipelines for efficient model deployment and maintenance
• Business-oriented mindset, with the ability to identify opportunities for leveraging data science to drive business value
• Strong storytelling skills - capable of transforming complex data into actionable insights with compelling visualizations
• Excellent communication skills, with the ability to engage directly with clients, understand their needs, and present solutions effectively

Nice to Have

• MS or BS in Computer Science, Data Science, or a related field
• Experience with Deep Learning frameworks such as PyTorch or TensorFlow
• Familiarity with microservice architectures, task queues (e.g., Celery), cloud platforms (AWS, Azure), Docker, and networking basics
• Strong portfolio on GitHub or Kaggle, showcasing hands-on AI/ML projects

English level

Upper-Intermediate

Responsibilities

• Identify and implement cutting-edge AI/ML solutions to benefit clients and internal projects
• Develop, deploy, and maintain end-to-end machine learning models, ensuring reliability and performance
• Research emerging trends in AI/ML and Generative AI, integrating them into real-world applications
• Share knowledge and mentor team members, fostering a collaborative and growth-oriented environment
• Stay at the forefront of applied data science and AI, continuously exploring new methodologies and tools