Description & Requirements.

The Machine Learning Engineer implements our AI software automations from inception to production, working along our ML  Researches. You will code the studied architecture, assessing training and inference performance on our cloud platform at all  levels: research, data pipelines, training pipelines and model serving interfaces.

Main Activities:

Whilst we expect all our employees to do what needs to be done to demonstrate their support of Bravura Solutions, below are

some specific aspects of your role for which you will be responsible:

Implement the training algorithms, the data transformations they need and the tech stack to deploy them

Turn researched models into scalable, maintainable code

Follow the entire software development lifecycle by maintaining the stack relevant and efficient

Track, assess and maintain the models’ computational performance

In addition to the above position-specific responsibilities, all employees are required to undertake any other reasonable duties

and responsibilities within your capability and skills, when requested to do so.

Key Skills:

Production-grade code development in Python

Knowledge of AWS cloud

Knowledge of relational databases (SQL)

Skills and knowledge required

B.E./B.Tech/MCA

At least two years experience in a Machine Learning role deploying ML software

Strong experience with one statistics coding language (R, Scala, Python)

Strong experience with deep learning frameworks (TensorFlow, Pytorch)

Experience with Airflow and Spark operations

Experience with Linux environments (Bash)

What we offer you:

Our people are at the heart of our business. We work hard to provide a rich employee experience and a robust framework for ongoing career development.

Competitive salary and employee benefits scheme.

Flexible working hours, we value work-life balance.

Parental (including secondary) leave policy.

Cab facility available in Delhi/NCR.

Meal facility available