MLOps Engineer

2k; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Discretionary bonus

Medical insurance

Gym reimbursement

Access to learning platforms

Job summary

2K in Bengaluru is looking for an experienced MLOps Engineer responsible for designing, implementing, and managing the lifecycle of machine learning models. This role requires an advanced professional to create automated systems for model deployment and monitoring, ensuring robust infrastructure capable of adapting to evolving player behavior.

The ideal candidate will have 6+ years of experience in MLOps with a strong background in Python and machine learning frameworks. A collaborative work environment is emphasized, with opportunities for growth and innovation.

Qualifications

• 6+ years of professional experience in MLOps, DevOps, or ML Engineering.
• Deep experience with Databricks, Kubeflow, or AWS SageMaker.
• Hands-on with Airflow or specialized ML orchestrators.

Responsibilities

• Lead the design and maintenance of end-to-end ML pipelines.
• Architect and manage scalable model serving infrastructure.
• Implement and maintain a centralized feature store.

Skills

MLOps

Python

SQL

Machine Learning

Data Engineering

Big Data

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Databricks

AWS SageMaker

Docker

Kubernetes

Spark

Job description

Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA 2K, renowned BioShock, Borderlands, Mafia, Sid Meier’s Civilization, and XCOM brands; popular WWE 2K and WWE SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR 2K

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role. If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

What We Need

The MLOps Engineer is responsible for designing, implementing, and managing the end-to-end lifecycle of 2K’s machine learning models. Beyond building individual models, this role focuses on creating the automated systems that facilitate training, deployment, monitoring, and retraining at scale. As an advanced professional, the MLOps Engineer ensures that ML infrastructure is robust, performant, and capable of adapting to evolving player behavior, providing the heavy lifting required for seamless ML deployment across 2K’s global titles.

What You Will Do

• ML Lifecycle Automation: Lead the design and maintenance of end-to-end ML pipelines covering data ingestion, feature engineering, model training, and deployment.
• Model Serving Architecture: Architect and manage scalable model serving infrastructure (API-based or streaming) utilizing tools such as Databricks Model Serving, Seldon, or SageMaker.
• Feature Store Management: Implement and maintain a centralized feature store to ensure consistency and low-latency access between training and real-time inference.
• CI/CD for Machine Learning (CT): Develop and optimize Continuous Training (CT) pipelines that automate model retraining based on performance decay or new data availability.
• Monitoring & Observability: Implement specialized monitoring for ML assets, tracking model drift, feature skew, and prediction latency to ensure high-quality player experiences.
• Cross-Functional Collaboration: Partner with Data Scientists to refactor experimental code into production-ready, modular, and testable components.
• Resource & Cost Optimization: Manage and optimize the infrastructure costs of GPU/CPU clusters, ensuring training jobs are balanced for performance and budget efficiency.

Who We Think Will Be A Great Fit

• Technical Leadership: Acts as a subject matter expert in ML infrastructure, guiding the technical direction of model deployment strategies.
• Operational Excellence: Focuses on building “BioShock-level” immersion through highly reliable and performant automated ML systems.
• Problem Solving: Diagnoses and resolves complex issues within non-deterministic ML code and distributed infrastructure.
• Influence & Collaboration: Mentors Data Scientists on software engineering best practices while effectively communicating infrastructure constraints to stakeholders.
• Agility: Quickly adapts ML strategies to support massive live-service ecosystems and changing data landscapes.

Required Qualifications, Knowledge, and Job-Related Skills

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
• Experience: 6+ years of professional experience in MLOps, DevOps, or ML Engineering (with a focus on productionizing ML at scale).
• ML Stack Mastery: Deep experience with Databricks/MLflow, Kubeflow, or AWS SageMaker.
• Technical Proficiency: Expert-level Python (including ML libraries like Scikit-Learn, PyTorch, or TensorFlow) and advanced SQL.
• Big Data Engineering: Proficient in using Spark/PySpark to process massive datasets for feature extraction and engineering.
• Orchestration: Hands-on experience with Airflow or specialized ML orchestrators to manage complex dependency graphs.
• Deployment & Infrastructure: Strong understanding of Docker, Kubernetes, and CI/CD principles applied to ML lifecycles.

Preferred Qualifications

• Experience with real-time inference for high-concurrency applications (e.g., in-game personalization).
• Familiarity with Data Privacy regulations (GDPR/CCPA) as they relate to model training and PII.
• Knowledge of Reinforcement Learning or Recommendation Systems in a gaming context.

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!

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.