Machine Learning Engineer

Overview

Develop and deploy ML models for EV battery diagnostics and real-time analytics

Key Responsibilities

• data pipelines
• backend services
• real-time analytics
• model training
• model deployment
• team collaboration

Tasks

-Collaborate across engineering and product teams -Build data pipelines and backend services for real-time analytics -Train and deploy ML/DL models for battery diagnostics

Requirements

• python
• pytorch
• terraform
• ansible
• machine learning
• cs degree

What You Bring

-Proficiency in Python, Java, or C++; experience with PyTorch, sklearn -Familiarity with cloud platforms, APIs, backend frameworks -Automate cloud infrastructure (Terraform, Ansible) -1–3+ years experience in ML, data engineering, or data science -Degree in CS, Data Science, EE, or related field

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Benefits

-Mentorship from EV and AI industry leaders -Flexible hours + hybrid work (Boston, MA) -Bonus: Docker, Kubernetes, CI/CD

About Lumicity

-Headquartered in Los Angeles with offices in San Diego, Houston, Miami, and Chicago, the firm has scaled effectively through strategic expansion. -Specializes in recruiting for Engineering, Life Sciences, Technology, and Energy sectors, targeting high-growth industries like semiconductors, robotics, and medical devices. -Operates on contract and direct-hire models, offering contingent, retained, and executive search services to meet client needs. -Project highlights include staffing C-suite roles in oncology biotech startups, scaling digital-health engineering teams post-Series C, and sourcing cleared RF engineers for aerospace clients. -Consultants bring industry expertise and a 'human touch,' leveraging deep domain knowledge to fill niche technical roles.

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