Gurugram Haryana Engineer secondary Jobs – 56 Open Jobs Today

ML Engineer
Antino Labs —Gurugram, Haryana
- Full-time
- Azure
- Doctoral degree
- Computer Science
Lead Engineer - Secondary Substation
AECOM —Gurugram, Haryana
- Full-time
- Hybrid work
- Engineering
- English
- Master's degree
- Health insurance
- Paid time off
AI / ML Engineer
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Master's degree
- AWS
Service Engineer
Jaypee India Limited —Gurugram, Haryana
- ₹15,000 - ₹20,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- 12th Pass
- Commuter assistance
- Health insurance
Quick apply
CyberArk Engineer
Macquarie Group Limited —Gurugram, Haryana
- Full-time
- Remote
- DevOps
- Windows
- Analysis skills
- Health insurance
- Paid time off
Engineer I - Service & Repair
Asteria Aerospace —Gurugram, Haryana
- Software troubleshooting
Quick apply
Process Specialist
FD India Private Ltd. HQ —Gurugram, Haryana
- Bachelor's degree
Network & Infrastructure Engineer
Bravura Solutions —Gurugram, Haryana
- Full-time
- Azure
- AWS
- Analysis skills
- Commuter assistance
Executive | Assistant Manager - Application Engineer
Macquarie Group Limited —Gurugram, Haryana
- Full-time
- Remote
- SQL
- AWS
- APIs
- Health insurance
- Paid time off
Senior Engineer
AtkinsRéalis —Gurugram, Haryana
- Full-time
- Remote
- CAD
- Microsoft Office
- Bachelor's degree
- Health insurance
8d
Manager - Cybersecurity engineer (data loss protection)
Macquarie Group Limited —Gurugram, Haryana
- Full-time
- Remote
- Health insurance
- Paid time off
Quality Engineer
Accenture —Gurugram, Haryana
- Full-time
- Master's degree
- APIs
- AI
Custom Software Engineer
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Doctoral degree
- Computer Science
Research Consultant, BIS
National Westminster Bank PLC —Gurugram, Haryana
- ₹41,183 - ₹58,140 a year
- Full-time
- Research
- Time management
2d
Design Engineer (PEB)
hirehub recruitement —Gurugram, Haryana
- ₹45,000 - ₹55,000 a month
- Full-time
- AutoCAD
- Civil engineering
- Analysis skills
- Health insurance
- Cell phone reimbursement
Quick apply
Analyst Developer- Java
FNZ —Gurugram, Haryana
- Full-time
- Java
- Bachelor's degree
- APIs
Principal Engineer- Secondary Substation
AECOM —Gurugram, Haryana
- Full-time
- Hybrid work
- B.Sc
- Engineering
- Master's degree
- Health insurance
- Paid time off
Environmental Engineering I
AECOM —Gurugram, Haryana
- Full-time
- Master's degree
- Leadership
- Health insurance
- Paid time off
Assistant Manager - Full Stack Engineer
Macquarie Group Limited —Gurugram, Haryana
- Full-time
- Remote
- SQL
- AWS
- APIs
- Health insurance
- Paid time off
Manager - C# Front Office Engineer
Macquarie Group Limited —Gurugram, Haryana
- Full-time
- Remote
- SQL
- Health insurance
- Paid time off
4d

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ML Engineer

Antino Labs
Gurugram, Haryana

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Azure
Doctoral degree
Computer Science
Software deployment
Engineering
Spark
NumPy
R
Oil & gas
Master's degree
SQL
Pandas
Analysis skills
Bachelor's degree
Machine learning
Continuous integration
Deep learning
SciPy
Forecasting
Django
APIs
Kafka
Manufacturing
Flask
AI
Communication skills
Python

Full job description

We seek a highly skilled ML Engineer with 3-5 years of industry experience specializing in AI/ML, MLOps, Azure cloud computing, and Python to collaborate with our team of Data Scientists, Data Engineers, and Subject Matter Experts (SMEs).

Candidate should have strong expertise in traditional ML to design, develop, and deploy industrial AI solutions for refinery and petrochemical operations. The role focuses on time-series modeling, forecasting, optimization, and real-time deployment of ML systems that deliver measurable business impact (e.g., energy savings, yield improvement, process optimization).

The candidate will develop, implement, and deploy advanced AI-driven solutions, including traditional ML, deep learning, neural networks, and advanced analytics tailored specifically to the refining and petrochemical industry.

What You'll Be Doing

Design, build and deploy end-to-end AI/ML pipelines for industrial use cases at scale on cloud-based platforms or on-prem server

Select and implement appropriate AI/ML algorithms, and tools

Build and maintain data pipelines using Python & SQL for reliable data flow between IT/OT systems

Develop time-series forecasting and prediction models for process variables (e.g., temperature, pressure, yield, emissions, energy consumption)

Build optimization models for refinery & petrochemical operations (e.g., fuel optimization, throughput maximization, energy efficiency)

Work with high-frequency process data from historians (e.g., PHD, OPC, SCADA systems)

Perform feature engineering on multivariate time-series data, including lag features, rolling statistics, and domain-driven transformations

Train, evaluate, monitor, retrain and maintain AI/ML models

Deploy models into production using APIs, batch pipelines, or real-time streaming systems

Implement model monitoring, drift detection, and retraining pipelines

Collaborate with process engineers, SMEs, operations teams, and business users to translate domain problems into ML solutions

Ensure scalability, reliability, and performance of deployed AI systems

Regularly update and leverage industry trends and advancements in AI, ML, and Optimization technologies.

What We are looking for

3-5 years of experience in AI/ML engineering roles

Bachelors or Masters in Engineering, Computer Science, or equivalent experience

Strong programming skills in Python, R, or a similar language

Robust understanding of machine learning and deep learning methodologies, including training, inferencing, and performance monitoring

Strong experience in time-series modeling, forecasting, and prediction problems

Proven experience in industrial/process data (Oil & Gas / Manufacturing preferred)

Solid expertise with machine learning libraries (Numpy, Pandas, Matplotlib, Scikit-learn, Scipy, Seaborn, NLTK, Flask, Django) and frameworks (TensorFlow, PyTorch, Langchain, Langgraph).

Strong expertise in SQL for data extraction, transformation, and pipeline building

Understanding of feature engineering for time-series data

Experience in building end-to-end ML systems (data model deployment monitoring_>retraining)

Hands-on experience with model deployment

Solid understanding of MLOps concepts:

Model versioning

CI/CD pipelines

Monitoring & alerting

Automated retraining

Experience handling large-scale data using PySpark / Apache Spark (good to have)

Strong analytical and problem-solving capability in industrial contexts

Ability to work closely with cross-functional teams (operations + data + IT)

Clear written and oral communication skills with a strong desire to share knowledge with business users, partners, and co-workers

Good to Have (Not Mandatory)

Exposure to Azure (Azure ML, Data Factory, Databricks, etc.)

Experience with real-time data streaming (Kafka, MQTT, OPC integration)

Exposure to GenAI / LLMs / Agentic systems (secondary skill, not core requirement)

Knowledge of refinery / petrochemical processes (CDU, FCC, Cracker, Boilers, etc.)

Apply Now

Refine Your Search

engineer secondary jobs in gurugram haryana

ML Engineer

Lead Engineer - Secondary Substation

AI / ML Engineer

Service Engineer

CyberArk Engineer

Engineer I - Service & Repair

Process Specialist

Network & Infrastructure Engineer

Executive | Assistant Manager - Application Engineer

Senior Engineer

Manager - Cybersecurity engineer (data loss protection)

Quality Engineer

Custom Software Engineer

Research Consultant, BIS

Design Engineer (PEB)

Analyst Developer- Java

Principal Engineer- Secondary Substation

Environmental Engineering I

Assistant Manager - Full Stack Engineer

Manager - C# Front Office Engineer

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