Apply Now

MLOps Engineer (ML Deployment Focus)

Remote • Posted 4 hours ago • Updated 4 hours ago

Contract W2

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

📊 Calculating match score...

Job Details

Skills

Machine Learning (ML)
Cloud Computing
Deep Learning
Life Sciences
Machine Learning Operations (ML Ops)
Problem Solving
Python
Terraform
Pharmaceutics
PyTorch
Kubernetes
Amazon Web Services
API
Amazon ECR
Continuous Integration
Continuous Delivery

Summary

Job Title: MLOps Engineer (ML Deployment Focus)

Location: Remote

Role Overview

We are looking for a highly skilled MLOps Engineer to take ownership of machine learning deployment pipelines and lead the design, development, and execution of scalable ML infrastructure.

This role focuses on productionizing ML models, ensuring secure, scalable, and efficient deployment, and enabling teams to deliver high-quality ML solutions.

Key Responsibilities

Own and manage end-to-end ML deployment pipelines
Design and implement scalable deployment strategies for ML models
Deploy models built using PyTorch, scikit-learn, XGBoost
Work with Docker containers and containerized environments
Ensure security of ML systems and data access controls
Build and maintain CI/CD pipelines, testing frameworks, and code quality standards
Develop and manage API endpoints for ML model serving
Collaborate with teams to improve ML infrastructure and deployment processes
Establish best practices for reliable, scalable ML systems

Required Qualifications

Strong experience in MLOps / ML model deployment in production
Experience building and managing MLOps pipelines
Hands-on experience with AWS cloud platform
Experience with MLflow, Kubeflow, or Airflow
Experience with Docker and containerization
Strong knowledge of Python ML ecosystem (pandas, numpy, scikit-learn, PyTorch)
Experience with API development for ML models
Experience with Infrastructure as Code (Terraform / CloudFormation)
Strong problem-solving and collaboration skills

Nice to Have

Experience with Kubernetes, AWS ECR, AWS Fargate, AWS Batch
Experience building end-to-end MLOps pipelines for deep learning models
Experience in life sciences / pharma / bioinformatics
Exposure to large-scale models (e.g., AlphaFold, protein modeling)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91166803
Position Id: 8949773
Posted 4 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

MLOPS ENGINEER

Remote

•

Today

Job Title: Sr MLOps Engineer Location: 100% Remote Job Summary: Core Technical Skills ML Pipeline & Model Lifecycle ML pipeline design and orchestration MLflow, Kubeflow, Azure ML Pipelines Model deployment across cloud and hybrid environments including model serialisation (ONNX, Pickle, TorchScript, SavedModel) and serving infrastructure design. Knowing how to package a model correctly for the target runtime is a baseline expectation, not a bonus Model scaling horizontal and vertical scaling st

Easy Apply

Contract

Depends on Experience

Senior MLOps / DevOps Engineer

Remote or Quincy, Massachusetts

•

Today

Inspiration Global is seeking a Senior MLOps/DevOps Engineer to support the design, implementation, and maintenance of scalable ML and data platform solutions on Azure. This role will drive best practices in CI/CD, Kubernetes-based deployments, and MLOps, enabling reliable and efficient model development and deployment. Work Location: Telework 100% Remote EST Hours Key Responsibilities: CI/CD pipeline design and automation using Azure DevOps Architect and manage Kubernetes (AKS) environments

Easy Apply

Full-time, Part-time, Third Party, Contract

Lead AI/ML Engineer

Remote or New York, New York

•

Today

Senior AI/ML Engineer Contract Remote The Senior AI/ML Engineer will architect and build agentic AI frameworks for web and mobile platforms, with a focus on MCP development and orchestration logging. This role requires excellent presentation and communication skills, as the engineer will represent AI-led automation delivery and champion an AI-first approach. Key Responsibilities: Data Preparation & Governance: Gather, clean, and prepare structured and unstructured data, apply data governance

Contract

$70.00

AI Architect & Machine Learning Developer for Cloud Native AI Solutions

Remote

•

11d ago

Job Title: AI Architect & Machine Learning Developer for Cloud Native AI Solutions Location: Multiple Locations (Remote or Onsite Options Available) Job Type: Full-Time or Contract Salary: From $180K DOE + Great Benefits Job ID: 7337 Position OverviewSherlockTalent is working with an esteemed client on the forefront of AI innovations to fill this AI Architect & Machine Learning Developer role. The selected individual will design and deploy advanced AI solutions from robust data pipelines to prod

Contract

$180,000

Search all similar jobs