Remote ML Engineer — Production ML & MLOps

Partner Company; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Partner Company is a global data and technology services firm focused on turning machine learning solutions into production-ready systems. We collaborate with data science teams to operationalize models and build robust data pipelines.

The role involves deploying and maintaining ML models in production, designing industrialized data workflows, and presenting solutions to stakeholders across internal and external teams.

Qualifications

• At least 5 years of data engineering experience and production-ready Python development.
• Hands-on experience with MLOps/LLMOps tools like Azure ML or Google Cloud Vertex AI.
• Strong knowledge of big data platforms such as Databricks, Spark, and PySpark.
• Remote work from India with flexible working hours.
• Continuous learning through Udemy, certifications, and capability development programs.
• Career progression and well-being initiatives in a collaborative environment.

Responsibilities

• Deploy, integrate, and maintain machine learning models in production environments.
• Design and manage industrialized data processing pipelines and MLOps workflows.
• Present technical solutions to internal and external stakeholders clearly.

Skills

Data engineering

Python development

MLOps experience

Big data processing

Tools

Azure ML

Vertex AI

Databricks

Spark

PySpark

Job description

Partner Company is a global data and technology services firm focused on turning machine learning solutions into production-ready systems. We collaborate with data science teams to operationalize models and build robust data pipelines.

The role involves deploying and maintaining ML models in production, designing industrialized data workflows, and presenting solutions to stakeholders across internal and external teams.