12 Sep
|
VARITE
|
Bengaluru
Company Name: VARITE India Private Limited
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.
Qualifications:
Experience:
- 6–12 years
Description:
- Senior ML Engineer (6+ years).
- Applied Scientist – Energy Optimization.
- OT Data + ML Specialist.
- Azure ML: Pipelines, endpoints, environments, registries.
- ADF and Azure Databricks (PySpark, Delta Lake, DLT).
- CI/CD via Azure DevOps — YAML pipelines, automated retrains.
- Monitoring: Application Insights, Azure Monitor, data drift monitors.
- Containerization (Docker), ONNX model packaging.
- Working knowledge of containerization (Docker) and API deployment (FastAPI/Flask).
Preferable:
- Production Engineering knowledge.
- Oil & Gas industry.
Timeseries:
- ML and constrained optimization for production ramp/sequence planning; ability to encode facility guardrails and drawdown targets.
Pressure:
- System feature engineering using DHP/WHP/Manifold/Up/Downstream signals; comfort reconciling telemetry with physical Cliention.
OT/Historian:
- (PI) data wrangling at scale; robust handling of gaps, sensor drift, and event slicing for ramp windows.
Azure ML:
- Model packaging, endpoints, monitoring; hands-on with CI/CD for retrains and can migrate from HPC trained models to cloud served artifacts.
Operator-Centric Delivery:
- Translating model outputs into transparent ramp steps/visual cues (stoplights, countdowns) and validating against control room practice.
- A highly skilled Machine Learning Engineer with 5–10 years of experience in timeseries forecasting, sensor l
📌 Senior ML Engineer (Bengaluru)
🏢 VARITE
📍 Bengaluru