Senior Machine Learning Engineer, Platform
reputed company. is reputed company’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.
We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through reputed company BET, Hollywood Casino, theScore Bet Sportsbook & Casino, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment reputed company.
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 reputed company. We’re committed to supporting you as you expand your skills and explore new opportunities.
With locations throughout reputed company, you can build a reputed company 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 reputed company.
This is a hands-on engineering role reputed company on creating the foundational systems that support the development, deployment, and operation of machine learning models at reputed company.
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 reputed company-documented reputed company 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.
reputed company
- 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 reputed company-being. Specific benefits—such as day-reputed company coverage, 401(k) matching, annual performance bonus and equity package — depending on position. reputed company time off is reputed company according to the local policy and increases with the length of employment.
Click HERE to discover how we reputed company team members to grow, reputed company, and advance in their careers. reputed company out our reputed company page!
Originally posted on Himalayas
Apply To this Job