Title: Sr. Data Engineer
Location: NYCNY
Duration: long term
Position type: W2 contract
Job Description
Data Engineer with Python and hands on experience using MLFlow - the project is to set-up experiments using MLFlow with ability to save artifacts use MLFlow APIs configure MLFlow and Databrics funcitioning for running experiemnts..
Job Description:
We are seeking a skilled Hybrid Data Engineer to manage and optimize our machine learning lifecycle across a hybrid environment of on-premises open-source tools and cloud-based platforms.
The ideal candidate will have experience working with MLflow Databricks and open-source machine learning frameworks enabling seamless integration experiment tracking model management and deployment.
Responsibilities:
- Design implement and maintain a hybrid ML infrastructure that connects on-premises open-source tools with cloud platforms like Databricks.
- Enable experiment tracking model versioning and lifecycle management using MLflow integrated with Databricks notebooks.
- Manage the registration versioning and deployment of machine learning models across environments.
- Collaborate with data scientists and ML engineers to streamline workflows and ensure scalable reliable model deployment.
- Configure MLflow servers and APIs to connect securely and efficiently with existing data sources and deployment targets.
- Optimize data pipelines and model deployment processes for both on-premises and cloud environments.
- Ensure best practices for reproducibility security and scalability in ML workflows.
Qualifications:
- Proven experience with MLflow Databricks and open-source machine learning frameworks.
- Strong understanding of data engineering model lifecycle management and cloud computing.
- Experience with deploying and managing machine learning models in hybrid environments.
- Knowledge of Apache Spark Python and Linux/Unix systems.
- Excellent collaboration and communication skills.
Title: Sr. Data Engineer Location: NYCNY Duration: long term Position type: W2 contract Job Description Data Engineer with Python and hands on experience using MLFlow - the project is to set-up experiments using MLFlow with ability to save artifacts use MLFlow APIs configure MLFlow and Datab...
Title: Sr. Data Engineer
Location: NYCNY
Duration: long term
Position type: W2 contract
Job Description
Data Engineer with Python and hands on experience using MLFlow - the project is to set-up experiments using MLFlow with ability to save artifacts use MLFlow APIs configure MLFlow and Databrics funcitioning for running experiemnts..
Job Description:
We are seeking a skilled Hybrid Data Engineer to manage and optimize our machine learning lifecycle across a hybrid environment of on-premises open-source tools and cloud-based platforms.
The ideal candidate will have experience working with MLflow Databricks and open-source machine learning frameworks enabling seamless integration experiment tracking model management and deployment.
Responsibilities:
- Design implement and maintain a hybrid ML infrastructure that connects on-premises open-source tools with cloud platforms like Databricks.
- Enable experiment tracking model versioning and lifecycle management using MLflow integrated with Databricks notebooks.
- Manage the registration versioning and deployment of machine learning models across environments.
- Collaborate with data scientists and ML engineers to streamline workflows and ensure scalable reliable model deployment.
- Configure MLflow servers and APIs to connect securely and efficiently with existing data sources and deployment targets.
- Optimize data pipelines and model deployment processes for both on-premises and cloud environments.
- Ensure best practices for reproducibility security and scalability in ML workflows.
Qualifications:
- Proven experience with MLflow Databricks and open-source machine learning frameworks.
- Strong understanding of data engineering model lifecycle management and cloud computing.
- Experience with deploying and managing machine learning models in hybrid environments.
- Knowledge of Apache Spark Python and Linux/Unix systems.
- Excellent collaboration and communication skills.
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