VI
ML Ops
VARITE INDIA PRIVATE LIMITED
🇮🇳 India
On-site
1 week ago
- IoT
- MLOps
- AI/ML
- Machine Learning
- AI
- AWS SageMaker
- Bedrock
- CI/CD
- ECS
- EKS
- Snowflake
- Python
- PyTorch
- TensorFlow
- Docker
- Kubernetes
- GitHub Actions
- Jenkins
- SQL
1 week ago
About The Client:
An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.
About The Job:
- We are seeking a highly skilled and proactive MLOps Engineer to join our team and enable seamless deployment and monitoring of AI/ML models in production environments.
- The ideal candidate will have expertise in machine learning operations, cloud infrastructure, and automation frameworks, ensuring that our AI solutions are scalable, reliable, and efficient.
- This role focuses on building robust ML pipelines, implementing MLOps best practices, and collaborating with Data Scientists to operationalize cutting-edge AI/ML models, including those based on LLMs and deep learning.
Essential Job Functions:
- Pipeline Development & Automation: Design and implement automated ML pipelines for model training, testing, deployment, and monitoring.
- Model Deployment & Monitoring: Deploy AI/ML models into production environments using containerization and orchestration tools; ensure performance and reliability.
- Cloud Infrastructure Management: Configure and optimize cloud resources (AWS SageMaker, S3, Bedrock) for scalable ML workflows.
- Data Integration: Collaborate with Data scientist to streamline data ingestion and transformation for model readiness.
- CI/CD for ML: Implement continuous integration and delivery practices tailored for ML workflows.
- Performance Optimization: Monitor model performance, retrain as needed, and manage versioning for reproducibility.
- Collaboration: Work closely with Data Scientists to translate experimental models into production-ready solutions.
Qualifications:
Requirements
- MLOps Expertise: Strong knowledge of ML lifecycle management, pipeline automation, and monitoring tools.
- Cloud Platforms: Hands-on experience with AWS (SageMaker, Lambda, ECS/EKS), Snowflake, and related services.
- Programming: Proficiency in Python; familiarity with ML frameworks (PyTorch, TensorFlow).
- Containerization & Orchestration: Experience with Docker and Kubernetes for scalable deployments.
- CI/CD Tools: Knowledge of GitHub Actions, Jenkins, or similar tools for automated workflows.
- Data Engineering: Ability to work with SQL and integrate data from multiple sources.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
ML Ops · VARITE INDIA PRIVATE LIMITED