ML Architect
100% Remote
Job Summary:We are looking for an experienced Machine Learning Architect to design and lead the development of scalable, reliable, and high-performance ML systems. The ideal candidate will define ML architecture, guide technical strategy, and collaborate with data science, engineering, and business teams to deliver production-ready AI/ML solutions.
Key Responsibilities:
Design end-to-end machine learning architecture and solutions
Define best practices
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ML Engineer
100% Remote
Job Summary:We are seeking a Machine Learning Engineer to design, develop, and deploy machine learning models and data-driven solutions. The ideal candidate will work closely with data scientists, software engineers, and product teams to build scalable ML systems that solve real-world business problems.
Key Responsibilities:
Design, build, and deploy machine learning models and algorithms
Develop data pipelines and preprocess large datasets
Optimiz
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Strong Databricks and PySpark experience.
Advanced SQL and data modeling for slowly changing dimensions / temporal mappings.
Experience building production-grade data pipelines.
Solid Python skills and familiarity with Gen AI, LLM, NLP and ML workflows.
Familiarity with Unity Catalog
Familiarity with Azure
Good team player role
Nice to have :
Delta Lake, MLflow, and workflow orchestration experience.
Migrations involving identifier remapping or historical backfills.
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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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($) :
$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
More >
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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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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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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