Mlflow Jobs in Virginia (NOW HIRING)

Develop reusable pipelines using Databricks and MLflow * Implement CI/CD workflows for ML deployment * Work with LLMs, RAG, and AI agent frameworks * Monitor model performance, drift, and retraining ...

MLOps / MLflow

You'll oversee automated Agent Test and Evaluation (T&E) harnesses while managing model lifecycles within isolated data sandboxes using MLflow. You will be building \"enterprise capabilities\" within ...

You'll oversee automated Agent Test and Evaluation (T&E) harnesses while managing model lifecycles within isolated data sandboxes using MLflow.You will be building "enterprise capabilities" within ...

Partner with data science teams on MLflow, MLOps, machine learning, and GenAI/LLM workloads. * Troubleshoot complex Databricks, Spark, Delta Lake, and pipeline issues. * Conduct architecture ...

As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you ...

Partner with data science teams on MLflow, MLOps, machine learning, and GenAI/LLM workloads. * Troubleshoot complex Databricks, Spark, Delta Lake, and pipeline issues. * Conduct architecture ...

Partner with data science teams on MLflow, MLOps, machine learning, and GenAI/LLM workloads. * Troubleshoot complex Databricks, Spark, Delta Lake, and pipeline issues. * Conduct architecture ...

Model release management in MLflow - versioning, aliasing, promotion and rollback, champion/challenger across the five models. * Serving models for real-time inference - package and optimize PyTorch ...

Partner with data science teams on MLflow, MLOps, Machine Learning, GenAI, and LLM workloads . * Troubleshoot complex Databricks, Spark, Delta Lake, and pipeline issues. * Conduct architecture ...

Build, maintain, and optimize robust pipelines for data preparation, model training, validation, versioning, deployment, and monitoring using modern tools (such as MLflow, Kubeflow, and GitLab CI/CD)

Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation * LLMs (Large Language Models), RAGs, and AI agent systems for various business ...

Create scalable and reusable training pipelines using Databricks notebooks and MLflow.Implementation and Optimisation LLMs (Large Language Models), RAGs, and AI agent systems for various business ...

Experience with MLOps tools (e.g., MLflow, Kubeflow). * Knowledge of big data technologies (Spark, Hadoop, Databricks). * Background in NLP, computer vision, or other advanced AI techniques.

Reston, VA (Hybrid) Duration: Long term Required Skills & Experience • Strong experience with AWS and ML engineering • Proficiency in Python and MLflow • Hands on expertise with Domino and ...

Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation * LLMs (Large Language Models), RAGs, and AI agent systems for various business ...

Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from ...

... as MLflow, or similar. · Experience supporting GPU-based workloads or distributed training environments. · Familiarity with enterprise MLOps architectures and patterns (batch, real-time ...

Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from ...

Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from ...