Senior Machine Learning Engineer

💰Budget: up to 46 euro/h

🌍 Work model: fully remote (occasional visits to Warsaw)

📑 Assignment type: B2B.

⏳ Project length: 12 months + extensions.

📕 Project language: English.

⚙️ Industry: pharmaceutical/healthcare.

✈ Business Travel - occasional

Summary:

The Senior Machine Learning Engineer's primary objective is to enhance the analysis of clinical trial data through effective machine learning workflows, playing a critical role in drug development efforts.

Main Responsibilities:

• Operate the life cycle of source-code, data, and models provided by data scientists.

• Build and operate the machine learning life cycle on platforms provided by internal teams.

• Create best practices, templates, and project accelerators for machine learning operations.

• Educate data scientists about the machine learning life cycle.

• Enable data scientists to integrate into the machine learning life cycle in a self-service manner.

• Serve multiple teams and projects across the organization.

• Guide and mentor junior team members.

• Assist in effectively harnessing machine learning for clinical trials.

Key Requirements:

• Background in Computer Science, Software Engineering, or Statistics.

• Strong software engineering principles and practices.

• Deep knowledge of statistics and machine learning.

• Experience with systems design, containerization, and distributed computing.

• Proficiency in Python.

• Familiarity with DevOps, CI/CD, and software testing.

• Strong stakeholder management and communication skills.

• Experience with Azure Machine Learning.

• Experience with Databricks.

Other Details:

The role is within the AI & Analytics department, supporting drug development initiatives. Proficiency in English is required for effective communication in this position.