VI
MLOps Engineer (AIOps & Observability)
VARITE INDIA PRIVATE LIMITED
- 🇮🇳 India
- On-site
- 10 months ago
- MLOps
- Machine Learning
- AIOps
- Python
- scikit-learn
- TensorFlow
- PyTorch
- Azure
- Apache Kafka
- Flink
- Azure Databricks
- Datadog
10 months ago
About The Client:
Client is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.
About The Job:
- We are seeking an MLOps or Data Science Engineer with strong experience in machine learning operations and observability platforms to enable intelligent AIOps capabilities within our observability practice.
AIOps Model Development:
- Design, develop, and deploy machine learning models for observability use cases including anomaly detection, predictive alerting, incident forecasting, and automated root cause analysis using time-series data from distributed infrastructure and application telemetry
- Build and optimize ML models using Python libraries (scikit-learn, Prophet, TensorFlow, PyTorch, statsmodels) to identify patterns, predict system failures, detect performance degradations, and enable proactive incident prevention across complex Azure environments
- Architect and implement scalable data pipelines using Apache Kafka for real-time streaming observability data, leveraging Apache Flink for stream processing and transformation to feed ML models with high-quality, timely telemetry from multiple sources
- Utilize Azure Databricks for large-scale data processing, feature engineering, model training, and batch analytics on observability datasets, establishing MLOps workflows for continuous model improvement and retraining based on evolving infrastructure patterns
- Apply hands-on experience with observability tools such as Datadog or similar platforms to understand metrics, logs, and traces data structures, translating observability domain knowledge into effective ML features and intelligent automation capabilities
- Establish end-to-end MLOps practices including model versioning, automated testing, deployment pipelines, performance monitoring, and feedback loops to ensure AIOps models deliver reliable, actionable insights that reduce mean-time-to-detection and mean-time-to-resolution for incidents
- Experience: 7-10 Years
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.
MLOps Engineer (AIOps & Observability) · VARITE INDIA PRIVATE LIMITED