Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
About the Role
We are looking for a hands-on cloud-savvy Machine Learning Engineer with 2 years of experience to join our Data Science & AI Center of Excellence (CoE).
In this role you will help design operationalize and scale production-grade machine learning systems that power real-time high-availability betting and gaming experiences.
You will work closely with Data Scientists ML Engineers Cloud Engineers and Product teams to build end-to-end ML pipelines automate deployment workflows and ensure models run efficiently reliably and securely in production environments.
This position is ideal for someone who is passionate about MLOps automation cloud-native ML tooling and scalable model governance.
Key Responsibilities
MLOps & Productionization
Build and maintain automated ML pipelines for training testing deployment and monitoring of models.
Deploy ML models to production using modern MLOps frameworks CI/CD pipelines containerization and orchestration systems.
Implement robust model versioning lineage reproducibility and governance practices.
Model Monitoring & Reliability
Develop monitoring dashboards and alerts for model performance data drift feature quality and service health.
Ensure uptime scalability and resilience of ML services in real-time high-traffic environments.
Data Engineering & Feature Delivery
Collaborate with Data Engineering to build high-quality feature pipelines implement feature stores and optimize data flows for training and inference.
Build data validation checks data quality alerts and schema enforcement.
Cloud & Infrastructure
Design cloud-native ML workflows using AWS/GCP services (depending on company stack).
Optimize resource usage cost efficiency and infrastructure automation for ML workloads.
Collaboration & Best Practices
Work with the CoE team to establish MLOps best practices templates reusable components and internal frameworks.
Partner with Data Science teams to accelerate model development lifecycle while ensuring compliance and security.
Contribute to technical documentation design reviews and knowledge-sharing initiatives.
Qualifications :
Technical Experience
2 years of hands-on experience in Machine Learning Engineering or MLOps roles.
Strong proficiency in Python and ML/DS libraries (e.g. scikit-learn pandas NumPy).
Experience building and deploying ML models into production.
Practical experience with containerization (Docker) and orchestration (e.g. airflow prefect etc).
Experience with CI/CD pipelines (GitLab CI GitHub Actions Jenkins etc.).
Understanding of ML lifecycle management: experiment tracking feature engineering model validation monitoring retraining.
Cloud & DevOps
Hands-on experience with cloud platforms (AWS GCP) and ML-native cloud services.
Familiarity with infrastructure-as-code tools (Terraform CloudFormation etc.).
Soft Skills
Strong problem-solving abilities and ownership mindset.
Ability to work in a fast-paced highly collaborative environment.
Clear communication skills with both technical and non-technical stakeholders.
Additional Information :
We know that signing top players requires a great starting package and plenty of support to inspire peak performance. Join us and a competitive salary is just the beginning.
Depending on your role and location you can expect to receive benefits like:
- Safe home pickup and home drop (Hyderabad Office Only)
- Group Mediclaim policy
- Group Critical Illness policy
- Communication & Relocation allowance
- Annual Health check
And outside of this youll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.
At Entain India we do whats right. Its one of our core values and thats why were taking the lead when it comes to creating a diverse equitable and inclusive future - for our people and the wider global sports betting and gaming sector. However you identify across any protected characteristic our ambition is to ensure ourpeople across the globe feel valued respected and their individuality celebrated.
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate ensuring ethical and compliant hiring practices globally.
Should you need any adjustments or accommodations to the recruitment process at either application or interview please contact us.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Sports betting, gaming and interactive entertainment is changing, and were leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. Wit ... View more
