139 results (8 new)
McLean, Virginia
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Today
Role: Data Machine Learning Engineer Location: McLean, VA Long Term Must haves: - Python - AWS - Kubernetes - Kubeflow (or equivalent workflow experience) - Spark pandas, NumPy - ML Ops / ML tooling experience - Hybrid on-site requirement (must be able to work in-office; McLean preferred, New York possible) - Previous Capital One experience highly desirable
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Full-time, Part-time, Third Party, Contract
Remote
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13d ago
Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, AWS, Azure).Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)Collaborate with engin
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Full-time, Third Party
Depends on Experience
Chicago, Illinois
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3d ago
Required Technical Skills 5+ years of experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.) Experience with MLOps frameworks like MLflow, Kubeflow, etc. Proficiency in programming (Python, R, SQL) Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS) Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Azure DevOps, etc.) Experience with conta
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Full-time, Part-time, Contract, Third Party
Cincinnati, Ohio
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5d ago
Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.15 to 20 years of IT experience with at least 7+ years in AI/ML architecture and solution design.Extensive experience designing and deploying machine learning and deep learning solutions.Strong expertise in Pythonand libraries such as TensorFlow, PyTorch, and scikit-learn.Hands-on experience with MLOps frameworks including MLflow, Kubeflow, and SageMaker.Experience with containeri
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Contract
Depends on Experience
Remote or Plano, Texas
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Today
AI Architect / Principal AI Engineer Remote Contract length 3-6 months+, possibility to convert or extend Builds scalable batch/streaming pipelines and multi-source ingestion with preprocessing, normalization, and transformation for ML-ready data, including geospatial AI/ML workflows (coordinate transformations, raster/vector processing, geospatial deep learning). Engineers feature stores and metadata; implements data quality, profiling, schema enforcement, and automated validation for traini
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Full-time
Depends on Experience
Hybrid in San Francisco, California
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3d ago
Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, AWS, Azure).Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)Collaborate with engin
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Contract
70 - 75
San Francisco, California
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Today
AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, AWS, Azure). Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining. Monitor model performance using observability tools and ensure compl
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Third Party, Contract
Seattle, Washington
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Today
Senior AI/ML Consultant (Contract | Seattle, WA) Duration: 6 Months Contract We are seeking a Senior AI/ML Consultant to design and deliver scalable machine learning solutions that drive business value. This role involves working closely with data, analytics, and product teams to build and operationalize production-grade AI systems. Key Responsibilities Develop and deploy ML models using Python and frameworks such as TensorFlow, PyTorch, or scikit-learn Build end-to-end ML pipelines including
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Third Party
$DOE
McLean, Virginia
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4d ago
Python Full Stack Developer Mclean, VA Must Have Qualifications: Must have practical experience with Python, front even technologies, React, JavaScript, and web application development, along with the capability to write effective code. Ideal candidates should have 3-7 years of relevant experience. Job Description: Role and responsibility: Design, develop and support systems within the financial modeling and research area.Design and develop new code and review existing code changes to ensure s
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Contract
Depends on Experience
Remote
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25d ago
Job Title: MLOps Engineer (ML Deployment Focus)Location: Remote Role OverviewWe 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 ResponsibilitiesOwn and manage end-to-end ML deployment pipelinesDesign
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Contract
Depends on Experience
Berkeley Heights, New Jersey
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Today
AI/ML Engineer/ Data Engineer with AI/ML Location: Barkeley Height NJ Onsite Job Summary We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The candidate will work closely with data engineers, analysts, and business stakeholders to build scalable intelligent systems and dashboards for data-driven decision-making. Key Responsibilities Design, develop, and deploy machine learning models (supervised/unsupervised) Build and opti
Contract, Third Party
Cupertino, California
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Today
We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users!\\n We believe that the most impactf
Full-time
Englewood, Colorado
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Today
Unison Systems is seeking an AI Engineer / Technical Development Lead to join our client's team in Denver Tech Center (DTC). This is a contract-to-hire position, onsite 4 days per week. H1 visa sponsorship will be considered. This is a senior-level role offering competitive compensation for a leader who will architect and deploy production AI systems while mentoring a team of engineers. Responsibilities: Lead and mentor AI/ML engineers while establishing technical strategy and best practicesAr
Contract
Holtsville, New York
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10d ago
Direct Client Requirement Job Title: Data Scientist Job Location: Holtsville, NY Duration: 6+ Months Responsibilities: - Design, build, and validate robust predictive models and machine learning solutions to address specific business problems. - Process, cleanse, and transform large, complex datasets from various sources to create highquality features for modeling. - Create comprehensive documentation for all models, code, and data pipelines to ensure transparency and facilitate a smooth handove
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Contract
$50 - $53
McLean, Virginia
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2d ago
Job#: 3031542 Job Description: Data Machine Learning Engineer Must haves: - Python - AWS - Kubernetes - Kubeflow (or equivalent workflow experience) - Spark pandas, NumPy - ML Ops / ML tooling experience - Hybrid on-site requirement (must be able to work in-office; McLean preferred, New York possible) - Previous Capital One experience highly desirable Nice to haves: - SQL / data analysis experience - Databricks - Additional ML tooling experience (mlplot, Data bricks) - DevOps familiar
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Full-time
Cupertino, California
•
Today
As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driving operational excellence across the full ML lifecycle. The MLOps Engineer will drive end-to-end quality initiatives across data ingestion, model training, deployment pipelines, and MLOps tooling. This hire will build, deploy, and optimize AI/ML based
Full-time
New York, New York
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Today
Solution IT Inc. is looking for Gen AI Engineer for one of its clients in New York, NY / (Hybrid) Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage. Experience deploying models with MLOps tools such as Vertex Pipelines, KubeFlow, or similar platforms. Experience implementing and supporting end-to-end Machine Learning workflows and patterns. Expert level programming skills in Python and experience with Data Science and ML packages and framew
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Third Party, Contract
Grand Rapids, Michigan
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Today
AI/ML Architect (Generative AI & LLMs) We are seeking an experienced AI/ML Architect to lead the design and delivery of scalable AI solutions across the organization. The role focuses on building and governing architecture for Generative AI, LLMs, and traditional machine learning systems, while defining best practices for MLOps, data pipelines, and AI system design. Required Qualifications Total 10+ years in software engineering / data science, with 3 5+ years in AI/ML architecture roles Strong
Full-time
Hybrid in San Ramon, California
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10d ago
Position: Senior AI/ML Engineer Location: San Ramon, CA (OR) Redwood City, CA We are seeking a Senior AI/ML Engineer to design, build, and deploy large-scale, production-grade machine learning systems powering our Personal AI & Human Connection intelligence platform. You will architect and implement end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring ensuring reliability, scalability, and compliance with Personal data standards. The
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Contract
Depends on Experience
Hybrid in San Ramon, California
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30+d ago
Role: AI/ML Engineer Location: San Roman, CA OR Redwood City, CA Job Type: Contract Job Description: We are seeking a Senior AI/ML Engineer to design, build, and deploy large-scale, production-grade machine learning systems powering our Personal AI & Human Connection intelligence platform. You will architect and implement end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring ensuring reliability, scalability, and compliance with Person
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Contract
Depends on Experience
