Senior Machine Learning Engineer

Company Description

👋🏼 We're Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17 500+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

• Design, implement, and optimize machine learning models to solve complex business problems.
• Oversee the entire machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring.
• Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
• Write and maintain high-quality, production-ready code for machine learning models and services.
• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Senior Machine Learning Engineer, with a strong track record of deploying models in production environments.
• Proficiency in Python, TensorFlow, PyTorch, and other machine learning frameworks.
• Experience with cloud platforms (AWS, GCP, Azure).
• Strong problem-solving skills and the ability to analyze complex data sets to derive actionable insights.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
• Nice to have general experience on gaming.