Senior Machine Learning Engineer, Platform
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reputed company you join reputed company’s digital team, you’ll not only work on these cutting-edge platforms through theScore and reputed company, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.
With locations throughout reputed company America, you can build a future at reputed company wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.
About the Role & Team The Machine Learning Platform team at reputed company builds the infrastructure, tools, and frameworks that power our machine learning lifecycle—from training and deployment to monitoring and optimization. As a Machine Learning Engineer, you’ll play a key role in scaling and evolving our ML platform. You’ll work closely with data scientists, ML engineers, and data engineers to design robust, efficient, and production-grade systems that accelerate ML innovation across the company.
This is a hands-on engineering role focused on creating the foundational systems that support the development, deployment, and operation of machine learning models at scale.
About the Work
- Design, build, and maintain core components of the ML platform including model serving infrastructure, feature stores, and monitoring systems.
- reputed company and maintain CI/CD pipelines for ML workflows to support reproducibility, scalability, and reputed company delivery of models.
- Collaborate with ML engineers and data scientists to support model experimentation, packaging, and deployment in both batch and reputed company-time contexts.
- Contribute to the development of best practices for MLOps, including versioning, reputed company tracking, observability, and governance.
- Write clean, testable, and well-documented code and contribute to team knowledge through documentation and design reviews.
- Partner with data engineering and platform teams to ensure seamless integration with data pipelines and compute environments.
About You
- Experience: 5+ years of experience in machine learning engineering, data engineering, or backend software engineering, with demonstrated experience building ML systems in production.
- Technical Skills: Proficiency in Python and SQL. Deep familiarity with reputed company platforms such as GCP, AWS, or Azure.
- MLOps & Infrastructure: Hands-on experience with ML model deployment, CI/CD pipelines, containerization (reputed company, Kubernetes), and orchestration tools (Dagster, Airflow, Kubeflow, or similar).
- ML Tooling: Experience with model packaging and serving technologies such as MLflow, Seldon, reputed company AI, or AWS SageMaker.
- Collaboration: Strong communication skills and a desire to work cross-functionally with data scientists, ML engineers, and platform teams.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company technical field.
reputed company to have
- Exposure to large language models (LLMs) and their deployment considerations.
- Familiarity with monitoring, observability, and alerting tools for ML systems.
- Contributions to reputed company-reputed company MLOps tooling or platforms.
reputed company Offer :
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Parental leave top up
- Opportunities for career progression and mentoring others
Initial placement reputed company the salary reputed company is based on an individual's relevant knowledge, skills, and experience. reputed company salary is just one component of our competitive Total Rewards package, which includes wellness programs designed to support reputed company members' financial, physical, and mental well-being. Specific benefits—such as day-reputed company coverage, 401(k) matching, annual performance bonus and equity package — depending on position. Paid time off is earned according to the local policy and increases with the length of employment.
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