C
Boston, Massachusetts, United States· Internship
$20 – $35/hr
PythonReactSQLPostgreSQL
FE
Role overview
Job description
Requirements:
Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWS.
Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift.
Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent.
Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers.
Write clean, well-documented, fast, and maintainable code.
Help ensure our systems have high availability and performance.
Experience in computer graphics or physics-based simulation.
Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
Experience with Vertex AI.
Experience working with custom Domain-Specific Languages.
About Us:
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
What we're looking for
BS in Computer Science or a related field.
5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
Expert-level Python and TypeScripts skills.
Experience with Docker, Kubernetes, Terraform, Google Cloud and AWS.
Deep understanding of machine learning models, including LLMs.
Experience designing and maintaining CI/CD pipelines to fine-tune or train ML models.
Excellent written and verbal communication skills.
Bonus Points
Experience in computer graphics or physics-based simulation.
Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
Experience with Vertex AI.
Experience working with custom Domain-Specific Languages.
Our tech stack
Google Cloud, AWS
Python, TypeScript
Protobuf, gRPC
Next.JS, React.JS
GitHub Actions
Docker, Kubernetes, Spinnaker
PostgreSQL
About this listing
- Source: Foundation EGI's official careers site · still listed there on 10 Nov 2026
- Posted 14 May 2026
Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.
What they are looking for
Skills & requirements
Qualification
5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent
Department · Engineering
Hiring company
Foundation EGI
Non-profit
Foundation EGI automates engineering documentation, technical drawings, parts catalogs, and process planning using domain-specific AI built for manufacturing.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
K
Boston, Massachusetts, United States
$136K – $204K/yr
C
29 days ago
Boston, Massachusetts, United States· Full-time· Remote
$130K – $170K/yr
PythonSQLAWSMachine Learning
IT
Boston, MA, United States· Full-time· Remote
$148K – $186K/yr
PythonDockerKubernetesMachine Learning
F
PythonSQLAILogistics
M
28 days ago
Boston, Massachusetts, United States· Full-time· Hybrid
$60K – $100K/yr
AIProcurement
🔔 Get job alerts
New ML Ops Engineer jobs in Boston, Massachusetts, United States, straight to your inbox.
No spam · Unsubscribe anytime