Delhi Python Jobs – 537 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
1h
IT & Software Development Specialist
Milani Electric & Solar —Pitampura, Delhi, Delhi
- Up to ₹24,00,000 a year
- Full-time
- CRM software
- Azure
- Management
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2d
Project Manager ||STEM Education || Robotics
MBD Group —Delhi
- ₹75,000 - ₹1,00,000 a month
- Full-time
- Engineering
- Java
- Master's degree
- Health insurance
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AI Engineers
Dignitas Digital —Delhi, Delhi
- Azure
- Computer Science
- Master's degree
Associate Project Officer- Research
UNESCO —Delhi, Delhi
- ₹23,34,091 a year
- Online application
- Spanish
- Doctoral degree
- English
- Health insurance
5d
AI Engineer
UpSolve Solutions LLP —Delhi, Delhi
- Up to ₹6,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
- Paid time off
- Paid sick time
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14d
Mechatronics Engineer
Hypertangent Technologies —Delhi
- ₹0.01 - ₹5,000.00 a month
- Hybrid work
- C++
- Internship
- Python
- Work from home
- Flexible schedule
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Data Engineer - Databricks, Pyspark, SQL, Python
Tata Consultancy Services —Delhi
- Computer Science
- SQL
- Bachelor's degree
Data Analytics Trainer Full Time
Edtech Learning Institute —Delhi, Delhi
- ₹30,000 - ₹40,000 a month
- Full-time
- Microsoft Excel
- SQL
- Mentoring
- Flexible schedule
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1d
Data Analyst/Associate Analyst
PRS Legislative Research —Mandhela Kalan, Delhi
- Email
- Computer Science
- Java
- Master's degree
Artificial Intelligence Analyst
Crypto Mize —Delhi
- Full-time
- Computer science
- Computer Science
- Bachelor's degree
AI Engineer
Aertrip India Limited —Ghitorni, Delhi, Delhi
- ₹4,64,900.78 - ₹17,61,275.58 a year
- Full-time
- Master's degree
- Databases
- APIs
- Commuter assistance
- Paid time off
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6d
Software Developer
Guiding Light Education Technologies Pvt Ltd (Sarrthi IAS) —Delhi, Delhi
- ₹35,000 - ₹45,000 a month
- Full-time
- AWS
- JavaScript
- Software development
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8d
AI Developer (LLM & Prompt Specialist)
OriginBluy —Delhi, Delhi
- ₹20,000 - ₹25,000 a month
- Full-time
- Master's degree
- Databases
- Machine learning
- Commuter assistance
- Health insurance
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12d
Python Web Crawler Developer
Digital Daisy —Delhi
- Full-time
- Computer Science
- Master's degree
- Databases
Data Analyst
Atlys —Delhi, Delhi
- Full-time
- SQL
- Analysis skills
- Bachelor's degree
Quick apply
Data Entry Operator (DEO)
CodeGuardian Tech International Private Limited —Delhi
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
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Remote - Data Engineering Analyst
World Business Lenders, LLC —Delhi, Delhi
- Monday to Friday
- Remote
- Azure
- Computer Science
- English
- Paid time off
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Backend Engineer- Python- SR2
Spark Eighteen —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- Health insurance
1d
Application Developer
Indowebtech —Alipur, Delhi, Delhi
- ₹15,000 - ₹25,000 a month
- Full-time
- Databases
- APIs
- In-person
- Work from home
- Flexible schedule
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9d

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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 hour 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

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python jobs in delhi

Data Scientist (Contract6 month)

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