Apetan Consulting LLC
Production MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Production MLOps Engineer based in Waltham, MA, for a two-year contract. Key skills required include Python, Kubernetes, CI/CD, and experience in deploying machine-learning models within agile environments.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 27, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Waltham, MA
-
🧠 - Skills detailed
#Deployment #R #AI (Artificial Intelligence) #Scala #Kubernetes #GitHub #Python #ML (Machine Learning) #Agile #Automation #Programming #API (Application Programming Interface)
Role description
Role: Production AI Engineer
- DURATION: TWO Years
- LOCATION: Waltham, MA.
– Production AI will join the mRNA Systems Engineering team to design, build, and operate production‑grade systems based on AI and machine‑learning and that accelerate mRNA vaccine research and development.
- Working in a highly agile, cross‑functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.
MUST HAVE SKILLS:
• Strong experience working in agile environments with a customer‑oriented mindset.
• Proven experience deploying and operating applications in production.
• Python programming skills. GitHub Actions and CI/CD pipeline implementation.
• Kubernetes‑based container orchestration.
• GitOps practices (ArgoCD or equivalent). Dev Ops, automation.
• Production deployment of machine‑learning models and MLOps practices.
• API and/or web application development.
Role: Production AI Engineer
- DURATION: TWO Years
- LOCATION: Waltham, MA.
– Production AI will join the mRNA Systems Engineering team to design, build, and operate production‑grade systems based on AI and machine‑learning and that accelerate mRNA vaccine research and development.
- Working in a highly agile, cross‑functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.
MUST HAVE SKILLS:
• Strong experience working in agile environments with a customer‑oriented mindset.
• Proven experience deploying and operating applications in production.
• Python programming skills. GitHub Actions and CI/CD pipeline implementation.
• Kubernetes‑based container orchestration.
• GitOps practices (ArgoCD or equivalent). Dev Ops, automation.
• Production deployment of machine‑learning models and MLOps practices.
• API and/or web application development.
