Uttar Pradesh Algorithm developer Jobs – 122 Open Jobs Today

Senior Technical Lead
HCLTech —Lucknow, Uttar Pradesh
- AWS
- Machine learning
- AI
5h
Algorithmic Trading Developer (Python / Quant Developer)
PROTECTIVE COLLAR AI TECHNOLOGY PRIVATE LIMITED —Noida, Uttar Pradesh
- ₹2,00,000 - ₹5,00,000 a year
- Data analysis skills
- Machine learning
- APIs
- Paid time off
Quick apply
5h
Module Lead/Lead SDET
BOLD LLC —Noida, Uttar Pradesh
- Azure
- Java
- Databases
- Health insurance
- Paid time off
Content Writer
CodersArts —Noida, Uttar Pradesh
- Computer science
- Computer Science
- English
- Flexible schedule
Recruitment Associate (Government Vertical)
AppInventiv —Noida, Uttar Pradesh
- Social media management
- Java
- Analysis skills
6d
Consulting Engineer - HVDC Controls & Protection Algorithms
GE Vernova —Noida, Uttar Pradesh
- Full-time
- Master's degree
- Travel
- Leadership
Technical Specialist-GW rating Testing
BirlaSoft —Noida, Uttar Pradesh
- Azure
- SQL
- APIs

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Algorithmic Trading Developer (Python / Quant Developer)
PROTECTIVE COLLAR AI TECHNOLOGY PRIVATE LIMITED —Noida, Uttar Pradesh
We are looking for an experienced Algorithmic Trading Developer / Quant Developer to develop, optimize, and research trading strategies.
₹2,00,000 - ₹5,00,000 a year
Quick apply
5h

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Senior Technical Lead

HCLTech -
Lucknow, Uttar Pradesh

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Job details

5 hours ago

Qualifications

TensorFlow
PyTorch
SAP
Pandas
AWS
Machine learning
Unity
Predictive analytics
S3
AI
Python
GIS

Full job description

Lucknow, Uttar Pradesh
Job Summary

Data Scientist / Machine Learning Engineer (Predictive Analytics)

About the Role

We are seeking a versatile Data Scientist / Machine Learning Engineer to drive high-impact predictive analytics solutions. You will focus on diverse operational challenges, ranging from predictive asset maintenance to dynamic workforce optimisation and demand forecasting. You will leverage the Databricks platform on AWS to build, scale, and deploy robust ML models that integrate seamlessly with our clients' enterprise architectures (SAP, FSM, GIS, SCADA systems).

Key Responsibilities

Key Responsibilities

End-to-End Predictive Modelling: Design and develop advanced predictive models to solve complex business problems, such as forecasting daily/hourly reactive workloads, predicting asset failures, and optimising resource allocation.
Databricks Ecosystem Mastery: Utilise Databricks (Unity Catalog, Delta Lake, MLflow) to ingest, process, and analyse large-scale structured and unstructured data from diverse sources (e.g., SAP Datasphere, S3).
Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific use case.
Scenario Simulation: Build models that allow business users to simulate various operational scenarios (e.g., tweaking risk appetites, reallocating shifts) and evaluate projected outcomes.
Cross-Functional Collaboration: Work alongside Data Engineers, Gen AI Experts (AWS Bedrock), and UI Developers to build "Compound AI" systems that combine predictive insights with generative AI explanations and user-friendly interfaces.
Skill Requirements

Required Skills & Qualifications

Experience: Proven track record as a Data Scientist/ML Engineer delivering predictive models into production environments, ideally for operational, supply chain, or critical infrastructure use cases.
Programming: Expert-level Python programming (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow).
Platform Expertise: Deep, hands-on experience with Databricks and the AWS cloud ecosystem.
Mathematical Foundation: Strong understanding of probability, time-series analysis, and constrained optimization problems.
Problem Solving: Ability to translate ambiguous business into structured mathematical frameworks.
Experience in Energy & Utilities industry is a definite advantage.
Other Requirements

Required Skills & Qualifications

Experience: Proven track record as a Data Scientist/ML Engineer delivering predictive models into production environments, ideally for operational, supply chain, or critical infrastructure use cases.
Programming: Expert-level Python programming (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow).
Platform Expertise: Deep, hands-on experience with Databricks and the AWS cloud ecosystem.
Mathematical Foundation: Strong understanding of probability, time-series analysis, and constrained optimization problems.
Problem Solving: Ability to translate ambiguous business into structured mathematical frameworks.
Experience in Energy & Utilities industry is a definite advantage.
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algorithm developer jobs in uttar pradesh

Senior Technical Lead

Algorithmic Trading Developer (Python / Quant Developer)

Module Lead/Lead SDET

Content Writer

Recruitment Associate (Government Vertical)

Consulting Engineer - HVDC Controls & Protection Algorithms

Technical Specialist-GW rating Testing

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