- Frontier Technology Inc. (Meridianville, AL)
- Overview FTI is looking for an Intermediate Machine Learning Ops ( MLOps ) Engineer to join our Data Science and Engineering team. This role will be ... critical in designing infrastructure, developing process, deploying, scaling, and maintaining machine learning models while also having the ability to contribute… more
- Autodesk (Boston, MA)
- …or related field, or equivalent industry experience + Experience with distributed systems for machine learning and deep learning at scale + Strong knowledge ... **Job Requisition ID #** 25WD87628 Job Title: MLOps Developer for AI Research **Position Overview** The...codebases + Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential + Excellent communicator who… more
- RTX Corporation (Farmington, CT)
- …+ Hands-on contracting experience with emerging technologies such as Generative AI (GenAI), Machine Learning Ops ( MLOps ) and/or Value-Added Reseller ... agreements is highly desired. + Experience with software licensing models + Negotiating software contracts to drive year on year cost savings to help RTX meet its bottom line + Understand and perform contract redlines + Business acumen to connect technical… more
- Insight Global (Houston, TX)
- …your day-to-day responsibilities will involve designing and managing machine learning operations pipelines using MLflow, Databricks ML Ops , and CI/CD ... pipelines. You will collaborate with data scientists to integrate machine learning models into production environments and automate model deployment and… more
- Boehringer Ingelheim (Ridgefield, CT)
- …driven decisions. You will work closely with data scientists to engineer and deploy machine learning solutions in production environments. You will help the team ... Boehringer Ingelheim is currently seeking a talented and innovative MLOps Engineer Co-Op candidate to join Central Data Science...as routing, firewall, VPN, TCP/IP, VPC.Experience or coursework in machine learning and/or deep learning … more
- Kohler Co. (Palo Alto, CA)
- ** MLOps Engineer - Kohler Ventures** _Work Mode: Hybrid_...design to proof-of-concept and launch. **In your role as Machine Learning Ops Engineer at ... we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning , design, advanced software and hardware engineering,… more
- Red Hat (Boston, MA)
- … engineer to work closely with our product and research teams to scale SOTA deep learning products and software. As an ML Ops engineer, you will work closely ... solving challenging technical problems at the forefront of deep learning , this is the role for you! In this...Collaborate with research and product development teams to scale machine learningproducts for internal and external applications + Create… more
- Techtronic Industries North America, Inc. (Menomonee Falls, WI)
- …and implementation of ML Ops best practices, streamlining the lifecycle of machine learning models from development to deployment and monitoring on the ... technological landscape. **You'll be DISRUPTIVE through these duties and responsibilities:** ML Ops Duties: Automate machine learning model deployment and… more
- Bloomberg (New York, NY)
- …who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions ... clients need it most. We are looking for Senior MLOps Engineers with strong expertise and passion for building...with peers, stakeholders and management + Industry experience with machine learning teams + Working knowledge of… more
- Amazon (Seattle, WA)
- …we manage increases, we're seeking an innovative senior engineer with a passion for data, machine learning , and MLOps to join our mission-driven team! If ... on the exciting challenge of using big data and machine learning to optimize power and cooling,...or equivalent - Experience with developing state-of-the-art, best practice MLOps tooling and frameworks Amazon is an equal opportunity… more
- Cisco (San Jose, CA)
- …root cause analysis of incidents using observability data and tools. * Incorporate MLOps practices to manage machine learning model lifecycles. Minimum ... Impact Cisco is seeking an experienced Senior Director of DevOps / ML Ops to lead, develop, and motivate a high-performing infrastructure team. The successful… more
- Google (Mountain View, CA)
- … MLOps principles, practices, and tooling. + Strong understanding of the machine learning development lifecycle. + Experience working with GCP + Excellent ... + **Process Optimization:** Establish and champion best practices for MLOps , ensuring reproducibility, scalability, reliability, and maintainability of ML systems… more
- Palo Alto Networks (Santa Clara, CA)
- …Google cloud platform(GCP) computing environments. + MLOps /LLMOps: Experience with DevOps/ MLOps practices for machine learning . + Communication: ... our AI technology, leveraging Generative AI, LLMs, and ML Ops to drive impactful solutions. As a technical leader,...& Development: Stay at the forefront of advancements in machine learning , particularly in LLMs, LLM agents,… more
- Vail Resorts (Broomfield, CO)
- …engineering, and software development. + Serve as a subject matter expert in machine learning , data engineering, and MLOps , supporting strategic technical ... MLOps practices, including developing and automating scalable machine learning pipelines in cloud environments (Azure,...CI/CD tools (eg, GitLab CI/CD, GitHub Actions, Azure Dev Ops ) and version control systems like Git. + Advanced… more
- Gecko Robotics (Boston, MA)
- …and civilization from the effects of infrastructure failure. Role at a Glance As a Machine Learning Engineer at Gecko, you will be working with Gecko's unique ... dataset to develop and deploy machine learning models to solve critical business...mission critical analytical tools and building the necessary ML Ops infrastructure to support high quality iteration. + Help… more
- JPMorgan Chase (New York, NY)
- …Digital Intelligence team is to leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across ... agile methodology to incorporate improvements that enhance user experiences. As a Sr. Machine Learning Engineer in the Digital Intelligence team, you will… more
- G2 Ops, Inc. (Arlington, VA)
- …Skills: + Programming & Data Tools + Proficiency in Python and R for machine learning and data analysis. + Experience with libraries like Pandas, NumPy, ... Facts! Location: Virginia Beach, VA at our wonderful G2 Ops office. Work Setting: In person, some remote opportunity...data visualization tools such as Matplotlib or Plotly. + Machine Learning & Model Development + Experience… more
- Otsuka America Pharmaceutical Inc. (Princeton, NJ)
- …help communicate findings. + Selecting the most appropriate statistical techniques and machine learning algorithms for use cases and ensure accuracy, ... traceability and versioning of datasets. Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Dataiku… more
- JPMorgan Chase (New York, NY)
- …Together, we will drive the adoption of best practices in software engineering, machine learning operations ( MLOps ), and data governance, ensuring compliance ... Drive the adoption of best practices in software engineering, machine learning operations ( MLOps ), and...advanced knowledge in the areas of LLM operations (LLM Ops ) and AI operations (AIOps). Chase is a leading… more
- LinkedIn (Mountain View, CA)
- …with search systems or similar large-scale distributed systems -Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and ... of features), and enabling GPU inference at scale. ML Ops : The MLOps and Experimentation team is...Tensorflow, JAX/FLAX Suggested Skills: -ML Algorithm Development -Experience in Machine Learning and Deep Learning … more