Industry - IT-Software / Software Services
Category - IT & Systems
Job Type - Permanent
Job Description - As a machine learning engineer, the ideal candidate will get to be a part of the growth of the Intelligent Systems department from the ground up. It provides an opportunity to help grow our suite of products that in conjunction are aiming to automate the entire software development life cycle.
Client Details:
Our client provides a platform for building bespoke software using AI and a library of building blocks to democratize software development; making it faster, more accessible and less expensive for everyone.
Description :
The key responsibilities of Machine Learning Engineer would be to:
- Build, maintain and manage data pipelines that support the modeling initiatives of data scientists
- Work closely with data scientists and engineering teams to production machine learning models
- Automate machine learning workflows
- Work with wider product teams to make the right data available for model building and analysis
- Implement the analytical libraries, programming languages, and frameworks in production
- Engineer to scale in the cloud using methodologies such as service-oriented architectures, containerised applications and lambdas
Profile:
As a successful candidate for Machine Learning Engineer role, you should have:
- Higher university degree (MSc or PhD) in Computer Science, Engineering, Mathematics, Physics etc
- Hands-on expertise in programming language: Python & Scala
- Sound fundamental knowledge of data querying and manipulation using SQL
- Practical experience in ML in research and development or academic projects
- Ability to communicate with diverse stakeholders
- Software engineering experience (CI/CD, Docker, Kubernetes)
- Experience engineering at scale using production level architecture
Job Offer :
As a Machine Learning Engineer, an opportunity to be a part of the Intelligent Systems team based in Gurgaon and work closely and collaborate with global product and engineering teams across three locations London, New Delhi and Los Angeles.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Damini Sarin on +91 124 452 5447.
Contact - Damini Sarin - +91 124 452 5447
The Apply Button will redirect you to the website. Please apply there as well.