Up Generative ai engineer (llms | rag | python | machine learning) Jobs – 35 Open Jobs Today

Software Engineer I- AI and ML
Zinnia —Noida, Uttar Pradesh
- Azure
- English
- Master's degree
Quick apply
Solution Architect
Luxoft —Noida, Uttar Pradesh
- English
- Master's degree
- AWS
Data Scientist
Thales —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
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SAP BTP LLM Developer - Manager
EY —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
- Health insurance
1d
SENIOR ENGINEER
Coforge Ltd. —Greater Noida, Uttar Pradesh
- Azure
- Databases
- AWS
Senior AI/ML Developer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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13d
Sr Computer Scientist 2
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Research
- Java
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Senior Computer Scientist
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer Science
- System design
- Master's degree
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Senior Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Doctoral degree
- Computer Science
Lead AI Engineer 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- B.Sc
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Tech Lead - Automation N 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
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1d

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Software Engineer I- AI and ML

Zinnia -
Noida, Uttar Pradesh

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Job details

Qualifications

TensorFlow
CI/CD
Elasticsearch
Azure
Node.js
Law
React
Kubernetes
NumPy
NoSQL
English
MongoDB
Master's degree
SQL
Pandas
AWS
Docker
Machine learning
JavaScript
PostgreSQL
Continuous integration
Deep learning
REST
Natural language processing
Scripting
APIs
AI
TypeScript
Python

Full job description

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 5 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.

Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.

Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.

Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.

Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.

Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

Quick apply

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generative ai engineer (llms | rag | python | machine learning) jobs in up

Software Engineer I- AI and ML

Solution Architect

Data Scientist

Senior Data Engineer – GenAI & Unstructured Data Pipelines

SAP BTP LLM Developer - Manager

SENIOR ENGINEER

Senior AI/ML Developer

Sr Computer Scientist 2

Senior Computer Scientist

Senior Manager

Lead AI Engineer 4C

Tech Lead - Automation N 4C

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