Mlflow Jobs (NOW HIRING)

MLflow or equivalent experiment tracking tool Role Summary: As Lead Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Design, train, and deploy ML/AI models using MLOps frameworks (MLflow, Kubeflow, CI/CD) * Develop and implement GenAI solutions (RAG, prompt engineering, fine-tuning, agentic workflows) * Apply ...

In this role, you will own the end-to-end ML lifecycle -- from experimentation and model development to automated deployment and production monitoring -- using MLflow as the central platform for ...

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

Collaborate with cross-functional teams to integrate MLflow and other tools for enhanced data operations. Required Skills and Experience * Extensive experience with Databricks, Spark, and Delta Lake ...

Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows * Teach data scientists how to utilize our ML platform to advance development from notebook to production for our ...

Technical background - Azure cloud, Agentic AI frameworks (like LangChain), , MLFlow, Snowflake/ Databricks, Python, Java

Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg. * Strong MLOps & CI/CD Expertise * Proficient in Python/Scala (Spark) for data governance ...

AWS SageMaker, Kubeflow, or MLflow. • Hands-on design and development using Python, Flask, Django, AsyncIO, etc. • Solid understanding of distributed systems, integration, testing, and ...

Work hands on with Azure cloud, Databricks, Snowflake, and MLflow components. * Leverage experience with Agentic AI frameworks (e.g., LangChain) to guide AI enabled product capabilities. * Provide ...

Productionize models using MLflow, model serving, and monitoring * Partner with Finance, Analytics, and IT teams on AI use cases * Ensure compliance with data governance, security, and enterprise ...

... MLflow and an aptitude for creating data driven insights are highly desirable. Key Responsibilities Feature Engineering Data Integration Develop and maintain feature engineering pipelines using ...

CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML Model versioning, monitoring, retraining workflows Docker, Kubernetes for deployment Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn ...

ML pipeline tools (Kubeflow, Airflow, Argo) Model tracking/versioning tools (MLflow, ClearML) Understanding of distributed systems and scalable architectures Experience with cloud platforms (AWS ...

Productionize models using MLflow, model serving, and monitoring * Partner with Finance, Analytics, and IT teams on AI use cases * Ensure compliance with data governance, security, and enterprise ...

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 ...

Familiarity with MLOps tools (e.g., MLflow) * Experience with containerization tools such as Docker * Solid foundation in mathematics and statistics * Excellent problem solving and analytical skills

Engineer scalable AI and ML workflows within Databricks using Delta Lake, Apache Spark, MLflow, and Lakehouse architectures. * Develop prompt engineering strategies, AI guardrails, context management ...

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

MLOps Engineer Handson experience with Endtoend ML lifecycle management with Azure ML Databricks and MLflow experiment tracking model versioningregistry devtestprod promotion reproducible builds ...