Job Description

• Gurgaon, India

RESPONSIBILITIES:

As a machine learning engineer, you will need to:

• Develop a state of the art data science and ML runtime stack in a multi-cloud environment.
• Lead on software engineering and software design for ML components.
• Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
• Manage the infrastructure and pipelines needed to bring models and code into production.
• Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
• Apply machine learning algorithms and libraries.
• Research and implement best practices to improve the existing machine learning infrastructure.
• Collaborate with data engineers, application programmers and data scientists.

DESIRED SKILLS:

• Qualification in a related field such as computer science, statistics, electrical engineering, mathematics or physical sciences.
• Self-starter with excellent communication/time management skills.
• Strong computer programming is a must, knowledge of Python, R and Java.
• Experience scaling machine learning on data and compute grids.
• Proficiency with K8n, Docker, Linux and cloud compute.
• Experience with Dask, Airflow and MLflow.
• MLOps, CI, Git and Agile processes.

WHY YOU DO NOT WANT TO MISS THIS CAREER OPPORTUNITY?

• Work for a Company that will revolutionise the Risk industry.
• Work closely with senior leaders who have individually served a number of CEOs at Fortune 100 companies globally.
• Capitalise on an unparalleled career progression opportunity.
• Build technical development skills in an industry with a significant growth potential (both in India and globally).