Ml engineer signal processing / Jobs

Senior Data Scientist — Manufacturing & Process AI
Employee Hub LLP —Delhi, Delhi
- Up to ₹12,00,000 a year
- Azure
- Salesforce
- Engineering
Quick apply
6d
Advanced Engineer: ML, LLM, NLP, RAG
Harman International —Bengaluru, Karnataka
- Azure
- Research
- Master's degree
AVP - Data & ML Platform
Weekday —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
3d
Algorithm Developer
Larsen & Toubro —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Analysis skills
Senior Systems Engineer - Wireless ML
Qualcomm —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
Senior Engineer
Magna International —Bengaluru, Karnataka
- Full-time
- Research
- Analysis skills
Quick apply
8d
Machine Learning Systems Engineer
Tether Operations Limited —Bengaluru, Karnataka
- Email
- Remote
- Azure
- Computer Science
- System design
Senior Data Engineer (with AI/ML experience) India
IDT —Remote
- Full-time
- Remote
- Azure
- English
- Windows
Quick apply
Data & ML Platform Engineering
Weekday —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
2d
Risk Solutions Engineer
Thomson Reuters —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Java
- Machine learning
- Continuous improvement
- Work from home
AI Engineer II / AI Engineer III
KlearNow.ai —Gurugram, Haryana
- Full-time
- SQL
- Math
- Machine learning
Quick apply
Automotive Audio ML Research Engineer
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Engineering
Software Engineer - AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Automotive Audio Systems Engineer
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Engineering
AI Quality Engineer
Acads360 India Private Limited —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
13d
Senior Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Quick apply
2d
Lead - Data & Ml Platform
Weekday —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
3d
Data Scientist
ALSTOM —Bengaluru, Karnataka
- Computer Science
- Master's degree
- SQL
Audio Senior Engineer
Qualcomm —Hyderabad, Telangana
- Computer science
- Doctoral degree
- Engineering
Data Domain Architect Lead - Data & Annotation
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
6d

I want to receive the latest job alerts for ml engineer signal processing /

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ml engineer signal processing / jobs near

Senior Data Scientist jobs in Delhi, Delhi

Machine Learning Engineer jobs in Bengaluru, Karnataka

Quality Engineer jobs in Hyderabad, Telangana

Software Architect jobs in Bengaluru, Karnataka

Algorithm Developer jobs in Bengaluru, Karnataka

Audio Engineer jobs in Hyderabad, Telangana

Senior System Engineer jobs in Bengaluru, Karnataka

Lead Data Architect jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Gurugram, Haryana

Solutions Engineer jobs in Bengaluru, Karnataka

Senior Engineer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Remote

Ai Ml Engineer jobs in Chennai, Tamil Nadu

Engineer jobs in Bengaluru, Karnataka

Platform Engineer jobs in Bengaluru, Karnataka

Data Scientist jobs in Bengaluru, Karnataka

Freshers Data Analyst jobs in Faridabad, Haryana

Senior Data Scientist jobs in Remote

Analytical Scientist jobs in Hyderabad, Telangana

12th Pass Data Entry Job jobs in Pune, Maharashtra

Senior Data Scientist — Manufacturing & Process AI

Employee Hub LLP
Delhi, Delhi

Quick apply

Job details

Contractual / Temporary
Up to ₹12,00,000 a year
6 days ago

Qualifications

Statistics
Azure
Internet of things
Big data
Enterprise Software
SAP
Salesforce
Engineering
NumPy
Git
M.Eng
Finance
Master's degree
SQL
Pandas
OOP
AWS
Bachelor's degree
Machine learning
Quality control
SciPy
Forecasting
Distributed control systems
Data science
Manufacturing
SAP ERP
AI
Python
Analytics

Full job description

As a Senior Data Scientist (Manufacturing & Process AI), you will build and deploy machine learning models directly on plant data to significantly cut energy consumption, improve critical equipment reliability, and tighten product quality across our operations.

This is a highly collaborative, hands-on modeling role embedded within our process, operations, and reliability teams. Your success will be measured by finance-validated operational savings (e.g., kcal/kg clinker, kWh/tonne, and avoided downtime).

Key Responsibilities

ML Modeling for Industry: Build, validate, and deploy ML models for process optimization (kiln/pyro-process control, grinding & separator efficiency), predictive maintenance on critical rotating equipment, and quality/clinker-factor optimization.
Industrial Data Wrangling: Work with high-frequency sensor and time-series data from plant historians, DCS, and IIoT systems. Clean and engineer meaningful features from noisy, real-world industrial signals.
Bridge the Gap (OT to AI): Partner closely with plant operators and process engineers to encode domain knowledge into your models. Safely guide models from advisory recommendations toward closed-loop control.
Business & Financial Rigor: Establish rigorous baselines and quantify financial impact with institutional discipline, defending data results under scrutiny.
Production Deployment: Collaborate with the MLOps/Platform team to productionize models and monitor their drift and performance in live operations.

Required Qualifications & Skills (Must-Have)Education & Experience

Degree: Bachelor's or Master’s degree in Engineering (Chemical, Mechanical, Electrical, Industrial), Statistics, Computer Science, or a related quantitative field.
Experience: 3–6 years of experience building and deploying ML models, with demonstrable experience in a manufacturing or process-industry environment (e.g., cement, steel, refining, chemicals, power, glass, mining).

Technical Skill Set

Core Machine Learning: Deep command of classical machine learning including regularized regression (Ridge, Lasso, ElasticNet), tree-based ensembles (Random Forest, XGBoost, LightGBM, CatBoost), SVM, k-NN, and Naive Bayes.
Data Science & Engineering: Strong, idiomatic Python (NumPy, pandas, SciPy, scikit-learn, statsmodels) writing clean, tested, production-quality code. Strong SQL skills are mandatory.
Time-Series & Analytics: Strong applied skills in time-series analysis, sensor/signal data processing, anomaly detection, regression, and forecasting with a solid statistics foundation.
Soft Skills: Comfortable being on the plant floor, explaining complex models simply to engineers and operators to earn their trust.

Preferred Qualifications (Strong Plus)

OT Data Experience: Hands-on experience with Industrial IoT (IIoT) and Operational Technology (OT) data—plant historians (OSIsoft PI / AVEVA, Aspen IP.21), OPC-UA, SCADA / DCS, and time-series databases.
Domain Exposure: Background in cement or heavy/process manufacturing (pyroprocessing, grinding, combustion, quality control).
Enterprise Systems: Experience working with data from SAP (ERP—specifically PM/PP modules) and Salesforce (SFDC).
Advanced Controls: Familiarity with Advanced Process Control (APC) concepts and closed-loop deployment.
Advanced Modeling: Deep learning for time series; physics-informed or hybrid (data + first-principles) modeling.
Big Data: Experience with PySpark for large datasets.

Technical Environment & Tools

Programming: Python (pytest, OOP), SQL, Jupyter, Git
Libraries: Scikit-learn, Statsmodels, XGBoost, LightGBM, Matplotlib, Seaborn, sktime, tsfresh, Prophet
Unsupervised: K-means, DBSCAN, Hierarchical Clustering, PCA
Platforms: Cloud/Lakehouse (Azure, AWS, or Databricks), Git-based workflows.

Pay: Up to ₹1,200,000.00 per year

Application Question(s):

Notice Period / Joining Timeline:

This is an urgent requirement. Are you available to join within immediate to 1 week maximum?

Options: Yes / No

This position is being filled as a Vendor Contract role. Are you comfortable working under a vendor contract engagement?

Options: Yes / No

Do you have demonstrable experience building and deploying ML models specifically within a manufacturing or heavy process-industry environment (e.g., cement, steel, refining, chemicals, power, glass, mining)?
current salary per month?
expected salary per month?

Experience:

Senior Data Scientist (Manufacturing & Process AI): 3 years (Required)

Work Location: In person

Quick apply

Refine Your Search

Senior Data Scientist — Manufacturing & Process AI

Advanced Engineer: ML, LLM, NLP, RAG

AVP - Data & ML Platform

Algorithm Developer

Senior Systems Engineer - Wireless ML

Senior Engineer

Machine Learning Systems Engineer

Senior Data Engineer (with AI/ML experience) India

Data & ML Platform Engineering

Risk Solutions Engineer

AI Engineer II / AI Engineer III

Automotive Audio ML Research Engineer

Software Engineer - AI/ML

Automotive Audio Systems Engineer

AI Quality Engineer

Senior Machine Learning Engineer

Lead - Data & Ml Platform

Data Scientist

Audio Senior Engineer

Data Domain Architect Lead - Data & Annotation

I want to receive the latest job alerts for ml engineer signal processing /

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected