Sr. Data Engineer with ML
Accord Technologies Inc
- New York, New York, United States
- New York, New York, United States
Über
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 API's , configure
MLFlow
and
Databrics
functioning for running experiments..
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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Sprachkenntnisse
- English
Hinweis für Nutzer
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