Machine Learning Engineer

EVident Battery, Inc. - Somerville, MA

Full-time - Entry Level

Hybrid - Somerville, MA

About the position

The Machine Learning Engineer at EVident Battery will play a crucial role in designing, implementing, and deploying machine learning models to enhance the company's innovative non-destructive inspection and scanning solutions for EV battery packs. This position offers a unique opportunity to work within a collaborative team, leveraging advanced technologies to improve data management and analysis in the rapidly evolving EV battery industry.

Responsibilities

• Design, implement, and deploy machine learning models.
• Develop robust data pipelines to support machine learning systems.
• Train, fine-tune, and maintain deep learning and machine learning systems for EV battery services.
• Consult with managers to determine and refine machine learning objectives.
• Construct data-optimized data pipelines to feed and support machine learning models.
• Implement automated, reproducible cloud infrastructure provisioning.
• Develop APIs and backend services for data-driven applications and real-time data visualization.
• Collaborate with machine learning engineers to deploy models into production.
• Enhance technology platform features based on user feedback.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Data Science, Electrical Engineering, or a related field.
• 1 year of full-time experience for PhD holders, 2 years for Master's holders, and 3 years for Bachelor's holders in machine learning, data engineering, or data science.
• Proficiency in at least one programming language (e.g., Python, Java, C++).
• Experience with deep learning and machine learning libraries (e.g., PyTorch/PyTorch-Lightning, sklearn).
• Understanding of database management (SQL/NoSQL) and principles of data modeling and ETL processes.
• Familiarity with backend frameworks (e.g., Flask, Django, Express.js) and API development.
• Experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (IAC) technologies like Terraform is a plus.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines is a plus.
• Enthusiastic about contributing to a rapidly growing startup and passionate about continuous learning.

Nice-to-haves

• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.

Benefits

• Flexible work hours and hybrid working options.
• Mentorship from industry leaders in EV technology and software development.
• Opportunity to work on cutting-edge technology that contributes to sustainable transportation.
• Access to a supportive, dynamic startup culture that values innovation, teamwork, and personal growth.