faridabad haryana machine learning expert Jobs – 58 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
Machine Learning Expert
CodersArts —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Research
- Java
- Work from home
- Flexible schedule
Programming Expert(Remote Work)
CodersArts —Noida, Uttar Pradesh
- Remote
- Computer Science
- Java
- SQL
- Flexible schedule
Associate Machine Learning Scientist
Wadhwani AI —South East District, Delhi
- Email
- Remote
- Data analysis skills
- Research
- Master's degree
Quick apply
Senior Engineer-Devops, Machine Learning Operations
BOLD LLC —Noida, Uttar Pradesh
- DevOps
- AWS
- Machine learning
- Health insurance
- Paid time off
AI Engineer
Netweb Technologies —Faridabad, Haryana
- Computer Science
- Master's degree
- C++
Subject Matter Expert — Digital Fabrication (3D Printing, Laser Cutting & Prototyping)
Qonevo Technologies Private Limited —Noida, Uttar Pradesh
- ₹12,779.80 - ₹43,255.44 a month
- Full-time
- CAD
- Research
- Master's degree
Quick apply
Data Scientist expert
CodersArts —Noida, Uttar Pradesh
- Doctoral degree
- Data analysis skills
- SQL
- Flexible schedule
Android App Development Expert
CodersArts —Noida, Uttar Pradesh
- Computer Science
- Java
- SQL
- Flexible schedule
Applications Engineering Architect (PPA)
Synopsys —Noida, Uttar Pradesh
- Machine learning
- Scripting
- AI
- Health insurance
Assistant Manager - Data Analyst
KPMG —Noida, Uttar Pradesh
- Full-time
- SQL
- Bachelor's degree
- Machine learning
Python/Data Science Intern - Patna(onsite)
GeoTechnosoft —Noida, Uttar Pradesh
- Full-time
- SQL
- Machine learning
- In-person
Director of Data Science
Deal4loans —Noida, Uttar Pradesh
- Computer science
- Doctoral degree
- Master's degree
Lead AI/ML Engineer
Optum —Noida, Uttar Pradesh
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
Advanced Associate, Information Security(Fraud)
Pearson —Noida, Uttar Pradesh
- Full-time
- Bachelor's degree
- Machine learning
Forward Deploy Engineer- AI Solutions
Wits Innovation Lab —Noida, Uttar Pradesh
- ₹5,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- Computer Science
- Salesforce
Quick apply
12d
Data Science Engineer 3
Adobe —Noida, Uttar Pradesh
- Full-time
- SQL
- Machine learning
- AI
Sr Staff Application Engineer - VCS Simulation
Synopsys —Noida, Uttar Pradesh
- Master's degree
- Analysis skills
- Bachelor's degree
- Health insurance
CodersArts Research
CodersArts —Noida, Uttar Pradesh
- Doctoral degree
- Computer Science
- Research
STA PrimeTime Test & Validation Sr Specialist
Synopsys —Noida, Uttar Pradesh
- Electrical Engineering
- AI
- Python

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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 expert jobs in faridabad haryana

Machine Learning Engineer

Machine Learning Expert

Programming Expert(Remote Work)

Associate Machine Learning Scientist

Senior Engineer-Devops, Machine Learning Operations

AI Engineer

Subject Matter Expert — Digital Fabrication (3D Printing, Laser Cutting & Prototyping)

Data Scientist expert

Android App Development Expert

Applications Engineering Architect (PPA)

Assistant Manager - Data Analyst

Python/Data Science Intern - Patna(onsite)

Director of Data Science

Lead AI/ML Engineer

Advanced Associate, Information Security(Fraud)

Forward Deploy Engineer- AI Solutions

Data Science Engineer 3

Sr Staff Application Engineer - VCS Simulation

CodersArts Research

STA PrimeTime Test & Validation Sr Specialist

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