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$60k - $130k/year
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Job Title: Machine Learning Solutions Lead Specialist Engineer Location: Boulder, CO Experience: 12+ Years Employment Type: Contract Interview Type: In-Person or Webcam Job Summary We are seeking an experienced Machine Learning Solutions Lead Specialist Engineer to architect and deliver advanced machine learning and AI-driven solutions across complex enterprise environments. The ideal candidate will have deep expertise in machine learning frameworks, scalable model deployment, cloud-based ML pla
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Machine Learning Engineer - NOVAREQUIRED: Robotics experiencePre-Screening Questionnaire:-Have you worked on a computer vision project-Do you have exposure on Nova fine-tuningMust Have Technical/Functional Skills:Hands-on experience with PyTorch, TensorFlow, OpenCV, and vision-language modelsFamiliarity with synthetic data generation, auto-annotation, and simulation tools (Isaac Sim, Omniverse)Experience with model evaluation metrics and performance tuningKnowledge of ROS/ROS2, Python, and C++ f
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($) :
$60k - $130k/year
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Job Title: Machine Learning Lead Engineer Location: Queens, New York Experience Required: 12+ Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description We are seeking a highly experienced Machine Learning Lead Engineer to drive the design, development, and deployment of advanced machine learning models and AI-driven solutions. This role involves leading technical strategy, guiding data science initiatives, and working closely with cross-functional teams to deliver scala
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Machine Learning Engineer 100% REmote
Manager's top asks: Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field.
-10+ years of software engineering experience in APIs, cloud deployments, and system integration.
-3-5 years in ML engineering, with 2+ years in agentic or multi-agent systems.
-Proven must have experience building and deploying RAG pipelines using embedding models and vector search.
-Must have hands-on experience with vector
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Role: Machine Learning Engineer Augmented Reality Location: Little Rock, AR Experience: 12+ Years About the Role We're looking for a seasoned Machine Learning Engineer who is passionate about building intelligent and immersive AR experiences. In this role, you'll architect and deliver advanced ML and computer vision solutions that bring real-world and digital environments together. You'll work closely with cross-functional teams-product managers, designers, and engineering tea
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Lead Machine Learning Infrastructure Engineer Location : Mountain View, CA/ Dallas, TX / Chicago, IL / NYC, NY Duartion: Long term contract 10+ years of experience level required Candidates who can work independently are more preferred Required Skills: MLOps, TensorFlow, PyTorch, Terraform, Docker, Kubernetes, Prometheus, Grafana, ELK stack and any cloud certification. About the Role: We are seeking a highly skilled Lead ML Infrastructure Engineer to spearhead the development, deployme
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Lead Machine Learning Infrastructure Engineer Location : Mountain View, CA/ Dallas, TX / Chicago, IL / NYC, NY Duartion: Long term contract 10+ years of experience level required Candidates who can work independently are more preferred Required Skills: MLOps, TensorFlow, PyTorch, Terraform, Docker, Kubernetes, Prometheus, Grafana, ELK stack and any cloud certification. About the Role: We are seeking a highly skilled Lead ML Infrastructure Engineer to spearhead the development, deployme
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Python & Databricks Developer (ML Ops)
Job responsibilities include:
Build and maintain scalable machine learning models using Python and Databricks.Develop APIs to support model deployment and integration with enterprise systems.Implement ML Ops practices for model versioning, monitoring, and automation.Collaborate with developers, system administrators, and end users to resolve technical issues.Apply strong problem-solving skills to identify and troubleshoot complex data and model-related
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Job OverviewWe are seeking an experienced Machine Learning Engineer / MLOps Engineer to design, build, and optimize scalable AI and machine learning solutions. The ideal candidate will possess deep technical expertise in data pipeline development, MLOps automation, and cloud-based model deployment (preferably AWS SageMaker), working closely with data science and engineering teams to ensure reliability, efficiency, and operational excellence in production ML systems.
Key Responsibilities
De
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Title: AI/ML EngineerLocation: RemoteHiring Type: W2ContractJob Summary:We are looking for a versatile and experienced Machine Learning Engineer (Contractor) to support our data engineering and analytics initiatives onGoogleCloudPlatform (GCP).
Key Responsibilities:
Design and implement unsupervised ML models to extract insights from structured and unstructured data
Develop generative AI solutions for data augmentation, summarization, and visual storytelling
Create interactive and comp
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