Join to apply for theMachine Learning Engineerrole atAmaris Consulting
Who are we?
Amaris Consultingis an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to crossing rivers of change, meeting challenges, and achieving all your projects successfully.
Our recruitment process
- Brief Call:A virtual/phone conversation to get to know you, understand your motivations, and find the right job fit.
- Interviews:Typically around 3 interviews with team members, discussing your experience, skills, and the role, as well as our culture and opportunities.
- Case study:Depending on the position, you may be asked to complete a test or scenario.
Job Description
We are seeking a highly skilled Machine Learning Engineer to join our advanced data science team. The ideal candidate will develop, deploy, and optimize machine learning models within Azure and Databricks environments, collaborating with cross-functional teams to deliver scalable, data-driven solutions that impact business outcomes.
Responsibilities
- Design, implement, and maintain scalable machine learning pipelines on Azure Databricks.
- Collaborate with data scientists, data engineers, and stakeholders to translate business challenges into machine learning solutions.
- Deploy, monitor, and optimize models in production for reliability and performance.
- Contribute to data science workflow architecture and best practices within Azure cloud.
- Research and experiment with new methodologies to improve model accuracy.
- Ensure compliance with data governance and security standards.
Requirements
- PhD in Computer Science, Mathematics, Statistics, or related field.
- Proven experience in machine learning, data science, and analytics.
- Hands-on expertise with Azure Cloud Services and Databricks.
- Strong programming skills in Python (libraries like Scikit-learn, TensorFlow, PyTorch).
- Understanding of data engineering concepts and collaboration with data engineers.
- Fluent in English, both written and spoken.
Amaris Consulting promotes diversity and is an equal opportunities employer. Applications from all qualified candidates are welcome regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: IT Services and Consulting
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