Uttar Pradesh Machine learning operations Jobs – 91 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
Vibe Coder
Cedcoss —Lucknow, Uttar Pradesh
- Full-time
- Master's degree
- Databases
- AWS
1d
Machine Learning Engineer 4
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer science
- Computer Science
- Java
Senior Engineer-Devops, Machine Learning Operations
BOLD LLC —Noida, Uttar Pradesh
- DevOps
- AWS
- Machine learning
- Health insurance
- Paid time off
Chief Technology Officer (CTO)
Kiara Global Services —Noida, Uttar Pradesh
- ₹20,00,000 - ₹24,00,000 a year
- Full-time
- Azure
- Computer Science
- ERP systems
- Health insurance
Quick apply
2d
Chief Technology Officer (CTO)/GM - IT Development
Valuepitch E Technologies Pvt Ltd —Noida, Uttar Pradesh
- ₹20,00,000 - ₹30,00,000 a year
- Full-time
- Azure
- Computer Science
- System design
- Flexible schedule
Quick apply
2d
Business Development Manager (Binary Wall)
Two99 —Noida, Uttar Pradesh
- ₹50,000 - ₹65,000 a month
- Full-time
- Remote
- Sales
- Master's degree
- Business development
- Work from home
Quick apply
8d
Senior Machine Learning Engineer
Sumo Logic —Noida, Uttar Pradesh
- Doctoral degree
- Computer Science
- Master's degree
IT Operations Lead
MAQ Software —Noida, Uttar Pradesh
- Full-time
- Microsoft Access
- Azure
- Computer Science
Quick apply
3d
Data Annotator – Noida
Macgence —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Senior Machine Learning Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
ML Engineer I
UST —Noida, Uttar Pradesh
- Machine learning
- AI
- Python
Quick apply
3d
Lead I - Data Science
UST —Noida, Uttar Pradesh
- Machine learning
- AI
Quick apply
3d
Plant Head
HireMore —Sikandarabad, Uttar Pradesh
- ₹10,00,000 - ₹17,00,000 a year
- Full-time
- Engineering
- Microsoft Office
- Project management
Quick apply
Production AI Innovation Lead (Contract, Remote)
INFUSE —Al, Uttar Pradesh
- Remote
- Machine learning
- AI
- Paid time off
Quick apply
Solution Architect
Ericsson —Noida, Uttar Pradesh
- Rotational shift
- B.Sc
- DevOps
- Master's degree
AI/ML Engineer - Generative AI
WSP —Noida, Uttar Pradesh
- Hybrid work
- Microsoft Powerpoint
- Azure
- Computer Science
3642321-Assistant Vice President
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- SQL
- Project management
Data Science Engineer 3
Adobe —Noida, Uttar Pradesh
- Full-time
- SQL
- Machine learning
- AI
Manager, Site Reliability Engineering
Monotype —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- AWS
- Analysis skills
- Health insurance
- Paid time off

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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

machine learning operations jobs in uttar pradesh

Machine Learning Engineer

Vibe Coder

Machine Learning Engineer 4

Senior Engineer-Devops, Machine Learning Operations

Chief Technology Officer (CTO)

Chief Technology Officer (CTO)/GM - IT Development

Business Development Manager (Binary Wall)

Senior Machine Learning Engineer

IT Operations Lead

Data Annotator – Noida

Senior Machine Learning Engineer

ML Engineer I

Lead I - Data Science

Plant Head

Production AI Innovation Lead (Contract, Remote)

Solution Architect

AI/ML Engineer - Generative AI

3642321-Assistant Vice President

Data Science Engineer 3

Manager, Site Reliability Engineering

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