Machine Learning Engineer

Who We Are

Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. For more than 25 years, our development teams have created some of the most critically acclaimed and commercially successful entertainment experiences, captivating, and engaging audiences around the world. We are incredibly proud of our ability to consistently deliver the highest-quality titles, as well as our colleagues who help to create our unique culture and work environment that is inclusive, diverse, and dynamic.

While our offices are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Role

As a Machine Learning Engineer, you will work closely with our team of data scientists and machine learning engineers to build tools and infrastructure that increase the speed of model development and deployment and improve our capacity to deploy and support additional models as we grow.

Responsibilities:

• Integrate with team of Data Scientists seamlessly and improve MLOps capabilities across the team
• Documenting workflows with diagrams and artifacts
• Creating pipelines for continuous training, evaluation, and deployment of models
• Developing distributed training infrastructure for faster training of models
• Improving tracking of models, data, and experiments
• Converting model serving to be framework agnostic
• Advancing monitoring to identify model drift and active learning opportunities

Qualifications:

• 4+ years of experience in DevOps/MLOps
• 3+ years of experience working on machine learning pipelines
• 2+ years of Python coding experience
• A passion for automating everything
• Strong AWS cloud experience

Nice to have:

• Familiar with time series analytics
• Familiar with deep learning algorithms such as CNN, RNN
• Familiar with Pytorch, Tensorflow, Sklearn, XGBoost
• Familiar with data pipelines
• Familiar with AWS Sagemaker

Technical Skills Required:

• Source-code repository administration (e.g. GitHub)
• Operating with data at scale (e.g. Apache Spark, Snowflake, Databricks, etc.)
• Writing and tuning SQL

What We Offer You:

• Great Company Culture. We pride ourselves as being one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Enjoy Life. Our employees’ bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, , company parties, our Office gaming spaces, game release events, monthly socials, and team challenges.
• Benefits. Benefits include, but are not limited to; Discretionary bonus, Provident fund contributions, 1+5 medical insurance + top up options and access to Practo online Doctor consultation App, Employee assistance program, 3X CTC Life Assurance, 3X CTC Personal accident insurance, childcare services, 20 days holiday + statutory holidays,
• Perks. Gym reimbursement up to INR1150 per month, wellbeing program with the chance to earn up to $93 per annum, charitable giving program, access to learning platforms, employee discount program’s plus free games and events!

Take-Two is proud to be an equal opportunity employer, and we are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities.

This role will initially be based form home before our brand new office opens in late 2022 at which point it will become an in-office role. If you have the right skills and would like to learn more, please apply here.

#LI-Hybrid