Advanced engineer – embedded machine learning Jobs – 142 Open Jobs Today

Data Scientist (Contract6 month)
Employe Hub —Delhi, Delhi
- ₹6,00,436.05 - ₹19,75,141.93 a year
- Part-time
- Azure
- Salesforce
- Engineering
Quick apply
1d
Seniorstaff-C++ , Machine Learning
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Engineering
22h
Computer Vision Engineer (All levels)
eternal.ag —Bengaluru, Karnataka
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
Lead Engineer,Senior-
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Engineering
9d
Senior Engineer
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Engineering
22h
Lead Engineer I - Flight Control Systems
Newspace —Unknown, Karnataka
- Doctoral degree
- System design
- Master's degree
Quick apply
Sr. Engineer I - Flight Control Systems (HAPS)
Newspace —Unknown, Karnataka
- Full-time
- Doctoral degree
- System design
- Master's degree
Quick apply
R4 Data Engineering
Eli Lilly —Hyderabad, Telangana
- Full-time
- Computer Science
- System design
- Master's degree
16h
Staff Engineer, Systems Design Engineering
Sandisk —Bengaluru, Karnataka
- Full-time
- System design
- Master's degree
- Analysis skills
Quick apply
Staff Engineer-CPU SW/HW Co-Design Engineer (ML Systems)
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Engineering
9d
Data Scientist
Shell Energy —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Salesforce
13d
Software Engineer – C++/Python, Linux
Applied Materials —Bengaluru, Karnataka
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
- Work from home
Technical Manager - Automation & Control System
Epiroc —Bengaluru, Karnataka
- Hybrid work
- Master's degree
- C++
- Bachelor's degree
Platform Product Manager, AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Master's degree
Quick apply
Technical Lead Computer Vision Software Development
Advanced Micro Devices, Inc —Bengaluru, Karnataka
- Computer Science
- Master's degree
- C++
Senior / Lead Design Verification Engineer (Formal & Simulation)
SiFive —Ahmedabad, Gujarat
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Senior / Staff Design Verification Engineer
SiFive —Ahmedabad, Gujarat
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Analog Design, Architect
Synopsys —Bengaluru, Karnataka
- Doctoral degree
- System design
- Master's degree
- Health insurance
Senior VPP Developer
Opplane Portugal Unipessoal Lda —Delhi, Delhi
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Graphics Driver Dev and debug engineer
Advanced Micro Devices, Inc —Bengaluru, Karnataka
- Computer Science
- Windows
- Master's degree

I want to receive the latest job alerts for advanced engineer – embedded machine learning

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

advanced engineer – embedded machine learning jobs near

Data Engineer jobs in Hyderabad, Telangana

Lead Engineer jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Hyderabad, Telangana

Staff Engineer jobs in Bengaluru, Karnataka

Software Engineer jobs in Bengaluru, Karnataka

Data Science Manager jobs in Chennai, Tamil Nadu

Design Verification Engineer jobs in Ahmedabad, Gujarat

Driver jobs in Bengaluru, Karnataka

Senior Network Engineer jobs in Delhi, Delhi

Data Scientist jobs in Chennai, Tamil Nadu

Technical Manager jobs in Bengaluru, Karnataka

Computer Vision Engineer jobs in Bengaluru, Karnataka

Senior Engineer jobs in Bengaluru, Karnataka

Data Scientist jobs in Delhi, Delhi

Data Engineer jobs in India Remote

Data Analyst Trainee jobs in Bengaluru, Karnataka

Data Engineer jobs in Goa

Civil Engineer jobs in Ahmedabad, Gujarat

Data Engineer jobs in Greater Noida, Uttar Pradesh

Data Engineer jobs in Dehradun City, Dehradun, Uttarakhand

Data Scientist (Contract6 month)

Employe Hub
Delhi, Delhi

Quick apply

Job details

Part-time | Full-time
₹6,00,436.05 - ₹19,75,141.93 a year
1 day ago

Qualifications

Azure
Internet of things
SAP
Salesforce
Engineering
NumPy
Git
Finance
Master's degree
SQL
Pandas
OOP
AWS
Bachelor's degree
Machine learning
Quality control
SciPy
Distributed control systems
Data science
Manufacturing
SAP ERP
Python

Full job description

ou will build and deploy machine-learning models directly on plant data to cut energy consumption, improve equipment reliability, and tighten product quality across our cement operations. This is a hands-on modelling role embedded with process, operations and reliability teams — your work will be measured in real, finance-validated savings (kcal/kg clinker, kWh/tonne, avoided downtime), not slide decks.

Key responsibilities

Build, validate and deploy ML models for process optimisation (kiln / pyro-process control, grinding & separator efficiency), predictive maintenance on critical rotating equipment, and quality / clinker-factor optimisation.

Work with high-frequency sensor and time-series data from plant historians, DCS and IIoT systems; engineer meaningful features from noisy, real-world industrial signals.

Partner with plant operators and process engineers to encode domain knowledge into models, and to take models safely from advisory recommendations toward closed-loop control.

Establish rigorous baselines and quantify impact with finance-grade discipline; defend results under scrutiny.

Work with the MLOps / platform team to productionise models and monitor them in live operation.

Communicate findings clearly to non-technical plant leadership.

Required qualifications (must-have):

Bachelor's or Master's in Engineering (Chemical, Mechanical, Electrical, Industrial), Statistics, Computer Science, or a related quantitative field.

3–6 years building and deploying ML models, including demonstrable experience in a manufacturing or process-industry environment (cement, steel, refining, chemicals, power, glass, mining, or similar).

Strong applied skills in time-series analysis, sensor/signal data, anomaly detection, regression and forecasting, with a solid statistics foundation.

Strong, idiomatic Python for data science (NumPy, pandas, SciPy, scikit-learn, statsmodels) with clean, tested, production-quality code; strong SQL.

Deep command of classical / traditional machine learning — regularised regression (Ridge, Lasso, ElasticNet), tree-based ensembles (Random Forest, Gradient Boosting — XGBoost / LightGBM / CatBoost), SVM, k-NN and Naive Bayes — with sound feature engineering, cross-validation and hyperparameter tuning.

Proven ability to wrangle messy industrial data and engineer features that work in production.

Comfortable on the plant floor — explaining models to engineers and operators and earning their trust.

Preferred (strong pluses):

· Hands-on experience with Industrial IoT (IIoT) and Operational Technology (OT) data — plant historians (OSIsoft PI / AVEVA, Aspen IP.21), OPC-UA, SCADA / DCS, time-series databases.

· Domain exposure to cement or heavy/process manufacturing (pyroprocessing, grinding, combustion, quality control).

Experience working with data from SAP (ERP — especially PM / PP / production & maintenance modules) and Salesforce (SFDC).

Familiarity with Advanced Process Control (APC) concepts and closed-loop deployment.

Deep learning for time series; physics-informed or hybrid (data + first-principles) modelling.

Technical skills:

Programming & engineering: idiomatic, production-quality Python — NumPy, pandas and SciPy for vectorised data work; clean, modular code with unit tests (pytest); OOP; virtual environments & packaging; Jupyter; Git. Strong SQL; PySpark for large datasets a plus.

Classical machine learning: hands-on depth across regularised regression, tree-based ensembles (Random Forest, XGBoost / LightGBM / CatBoost), SVM, k-NN and Naive Bayes; unsupervised methods — k-means, DBSCAN, hierarchical clustering and PCA / dimensionality reduction.

Statistical & modelling rigour: hypothesis testing, regression diagnostics, feature engineering & selection, cross-validation, hyperparameter tuning, class-imbalance handling, and disciplined error analysis.

Time-series & anomaly detection: classical methods (ARIMA / SARIMA, exponential smoothing, state-space models) and libraries (statsmodels, sktime, tsfresh, Prophet); anomaly detection (Isolation Forest, One-Class SVM).

Core libraries: scikit-learn, statsmodels, XGBoost / LightGBM, matplotlib / seaborn.

Platform & tooling

Cloud / lakehouse (Azure, AWS or Databricks); plant historian & OT connectors; Git-based workflows.

Pay: ₹600,436.05 - ₹1,975,141.93 per year

Work Location: In person

Quick apply

Refine Your Search

advanced engineer – embedded machine learning jobs

Data Scientist (Contract6 month)

Seniorstaff-C++ , Machine Learning

Computer Vision Engineer (All levels)

Lead Engineer,Senior-

Senior Engineer

Lead Engineer I - Flight Control Systems

Sr. Engineer I - Flight Control Systems (HAPS)

R4 Data Engineering

Staff Engineer, Systems Design Engineering

Staff Engineer-CPU SW/HW Co-Design Engineer (ML Systems)

Data Scientist

Software Engineer – C++/Python, Linux

Technical Manager - Automation & Control System

Platform Product Manager, AI/ML

Technical Lead Computer Vision Software Development

Senior / Lead Design Verification Engineer (Formal & Simulation)

Senior / Staff Design Verification Engineer

Analog Design, Architect

Senior VPP Developer

Graphics Driver Dev and debug engineer

I want to receive the latest job alerts for advanced engineer – embedded machine learning

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected