Okhla Industrial Area Phase I Delhi Delhi Production worker Jobs – 106 Open Jobs Today

Machine Learning Engineer
Dinero Solutions —Noida, Uttar Pradesh
- ₹10,00,000 - ₹12,00,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Quick apply
Hardware/Electronics Engineer
Proxgy —Gurugram, Haryana
- ₹7,00,000 - ₹12,00,000 a year
- Full-time
- Laboratory experience
- Master's degree
- Bachelor's degree
- Health insurance
- Paid time off
Quick apply
Chef de Cuisine-Asian
Marriott International, Inc —Gurugram, Haryana
- Full-time
- 12th Pass
- Training & development
- Restaurant
1d
AM Content|International|06072025
Majorel India —Gurugram, Haryana
- Full-time
- Remote
- Work from home
Database Reliability Engineer III- Eng (MS Sql, Grafana, Python)
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- English
Sr System Consultant (Kronos Consultant)
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Oracle
- Computer Science
- B.Sc
AI/ML Engineer
PrismHR —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Frontend Developer
METADESIGN SOLUTIONS —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- AWS
- Health insurance
- Paid time off
Oracle Cloud Infra Admin-Devops with Redhat Openshift-Senior
EY —Noida, Uttar Pradesh
- Azure
- Oracle
- Computer Science
14d
Japanese Language Expert
Kyndryl —Gurugram, Haryana
- Full-time
- Microsoft Excel
- Azure
- Customer service
Team Leader- Operations|Domestic|19082025
DIBS India Intelenet Business Services Ltd —Gurugram, Haryana
- Full-time
- Remote
- Work from home
Instructional Designer|International|14092025
TGBPL TP India - IBU —Gurugram, Haryana
- Full-time
- Remote
- Bachelor's degree
- Work from home
Staff Information Security Engineer- Eng
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- English
- AWS
ML Engineer
Antino Labs —Gurugram, Haryana
- Full-time
- Azure
- Doctoral degree
- Computer Science
Sous Chef
Marriott International, Inc —Ghaziabad, Uttar Pradesh
- Full-time
- 12th Pass
- Communication skills
Senior Research Analyst - Upstream
Wood Mackenzie India Private Limited —Gurugram, Haryana
- Full-time
- Analysis skills
- Travel
- Computer networking
Quick apply
Staff Software Engineer- Eng (Java + AI)
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Doctoral degree
- Computer Science
Senior Aerostructures Design Engineer
Johnnette Technologies —Noida, Uttar Pradesh
Sr Integration Consultant
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Computer Science
- SQL
- Bachelor's degree
Computer Scientist 2 (Frontend)
Adobe —Noida, Uttar Pradesh
- Full-time
- System design
- Master's degree
- AWS

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Machine Learning Engineer

Dinero Solutions
Noida, Uttar Pradesh

Quick apply

Job details

Permanent | Full-time
₹10,00,000 - ₹12,00,000 a year

Benefits

Provident Fund
Health insurance

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
Data science
Manufacturing
Flask
AI
Communication skills
Python
Process engineering
Debugging

Full job description

Machine Learning Engineer

Noida (Onsite)- Local to NCR

We seek a highly skilled AI-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.)

Ways To Stand Out From The Crowd

Strong coding and debugging skills, including experience with Python, R

Hands-on experience in production-grade MLOps pipelines

Demonstrated impact in industrial AI/ML projects (cost savings, optimization gains)

Strong understanding of process engineering + data science intersection

Familiarity and hands-on experience with AI/ML-specific deployment frameworks, tools, and continuous integration and deployment (CI/CD) methodologies.

Hyperparameter tuning and black-box optimization

Knowledge of optimization techniques for industrial systems, including Reinforcement Learning, Genetic Algorithm etc

Understanding of constrained optimization problems in process industries (e.g., safety limits, operating envelopes)

Key Focus Areas for This Role

Time-series forecasting & prediction, hyperparameter optimization

Process optimization using AI/ML/RL (Reinforcement Learning)

End-to-end ML pipeline development

Deployment in real industrial environments

MLOps & lifecycle management

Keywords:

Tier 1: Non-Negotiable

Python, Time-series forecasting, Machine learning, MLOps, SQL

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Benefits:

Health insurance
Provident Fund

Application Question(s):

Current CTC & Notice Period?
Only face to face interview possible, are you available?

Location:

Noida, Uttar Pradesh (Noida) (Preferred)

Work Location: In person

Quick apply

Refine Your Search

production worker jobs in okhla industrial area phase i delhi delhi

Machine Learning Engineer

Hardware/Electronics Engineer

Chef de Cuisine-Asian

AM Content|International|06072025

Database Reliability Engineer III- Eng (MS Sql, Grafana, Python)

Sr System Consultant (Kronos Consultant)

AI/ML Engineer

Frontend Developer

Oracle Cloud Infra Admin-Devops with Redhat Openshift-Senior

Japanese Language Expert

Team Leader- Operations|Domestic|19082025

Instructional Designer|International|14092025

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ML Engineer

Sous Chef

Senior Research Analyst - Upstream

Staff Software Engineer- Eng (Java + AI)

Senior Aerostructures Design Engineer

Sr Integration Consultant

Computer Scientist 2 (Frontend)

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