Mlflow Jobs in Oregon (NOW HIRING)

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Preferred Qualifications Experience with MLflow, Mosaic AI Model Serving, Unity Catalog-governed AI assets, Databricks Workflows, Feature Engineering, and model monitoring patterns. Experience ...

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. * Experience with containerization technologies like Docker and Kubernetes. * Strong knowledge of CI ...

Experience with MLOps frameworks and pipeline tools (MLflow, Nextflow, WDL, Docker). * Advanced knowledge of statistical inference, machine learning, and genomic data processing.

Deep familiarity with managing enterprise AI environments utilizing Mosaic AI, Unity Catalog, Delta Lake, and leveraging MLflow for end-to-end experiment tracking and prompt engineering.

Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation. #LI-MG1 #LI-HYBRID

Experience or academic exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure Machine Learning. * Familiarity with modern data integration ...

Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker). * Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification ...

Proven track record using MLOps workflows (e.g., MLFlow, Kubeflow), including monitoring, orchestrating, and scaling production models. * Hands-on deployment experience across multiple environments ...

Expert proficiency in PyTorch and modern machine learning infrastructure (e.g., HuggingFace ecosystem, PEFT, Captum, MLflow, and distributed GPU computing setups) * Documented technical leadership ...

DBRX, MLflow, Vector Search, or Databricks AI Gateway * 1+ years of experience leading project workstreams or client engagements, including translating business requirements into technical solutions ...

Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML) * Experience deploying containerized ML services using Docker and orchestrating ...

Proven track record using MLOps workflows (e.g., MLFlow, Kubeflow), including monitoring, orchestrating, and scaling production models. * Hands-on deployment experience across multiple environments ...

DBRX, MLflow, Vector Search, Databricks AI Gateway * 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions * 1+ years of experience ...

Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow) Preferred requirements: * PhD or Master's degree in Computer Science, Statistics ...

DBRX, MLflow, Vector Search, Databricks AI Gateway * 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions * 1+ years of experience ...

Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps. * Solid understanding of software engineering principles, data structures, and algorithms. * Excellent communication skills and ...