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 clear 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 level feature engineering, and optimization models for industrial/energy systems.
- Strong background working with PI historian, operational telemetry, and production facility constraints.
- Proficient in designing end-to-end ML pipelines—from OT data extraction and feature engineering to model deployment, monitoring, and operator-centric UI delivery.
- Adept at translating complex ML/optimization outputs into clear operational instructions used by field/production teams.

Must Have Skills:

- PySpark.
- NumPy.
- REST API.

Good to Have Skills:

- Azure Data Lake.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

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 setting 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.

📌 Senior ML Engineer (Bengaluru)
🏢 VARITE
📍 Bengaluru