Noida, Up Engineer java architecture Jobs – 142 Open Jobs Today

Senior AI/ ML Engineer
Friends Color Images —Noida, Uttar Pradesh
- Full-time
- Azure
- Java
- Master's degree
- Commuter assistance
- Health insurance
Computer Scientist-I/II
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer Science
- B.Sc
- Engineering
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Techneplus —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Java
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E Hook Systems —West District, Delhi
- Java
- Analysis skills
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Data/AI Lead Optimizing procurement for hospitality success
Skyleaf Consultants —Noida, Uttar Pradesh
- ₹20,00,000 - ₹35,00,000 a year
- Full-time
- Oracle
- Computer Science
- Java
Performance Test Architect- Noida, India
NeoXam —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Oracle
- Java
Senior SecOps & AppSec Lead - Noida
NeoXam —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Java
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Sr. Software Architect- Full stack
Ericsson —Noida, Uttar Pradesh
- System design
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Senior Engineer, Devops (AWS Automation)
BOLD LLC —Noida, Uttar Pradesh
- Azure
- DevOps
- Java
- Health insurance
- Paid time off
Lead Developer
360 DC Group —Noida, Uttar Pradesh
- Azure
- DevOps
- Java
Quick apply
Senior Software Engineer/ Module Lead (.Net)
BOLD LLC —Noida, Uttar Pradesh
- Java
- SQL
- Analysis skills
- Health insurance
- Paid time off
Senior Lead - AI/ML
Nucleus Software —Noida, Uttar Pradesh
- Java
- Bachelor's degree
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Senior Support Engineer
Friends Color Images —Noida, Uttar Pradesh
- Full-time
- Computer Science
- DevOps
- Java
- Commuter assistance
- Health insurance
5h
Senior Full Stack Engineer (Java | React | Node.js)
Technology Next —Noida, Uttar Pradesh
- ₹80,000 - ₹90,000 a month
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
Quick apply
7h

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Computer Scientist-I/II
Adobe —Noida, Uttar Pradesh
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.
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Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.

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Senior AI/ ML Engineer

Friends Color Images -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Benefits

Provident Fund
Commuter assistance
Health insurance
Paid sick time

Qualifications

TensorFlow
Azure
Law
MCP
React
Full-stack development
Java
Master's degree
SQL
AWS
Machine learning
PostgreSQL
Mentoring
Natural language processing
Software development
APIs
Agile
AI
Graph databases
Python

Full job description

Job Information

Province

Uttar Pradesh

Date Opened

26/03/2026

Industry

Software Product

Job Type

Full time

Shift Timing

General day shift

Weekly Off

5 Day working with Saturday and Sunday off

Work Experience

6+ Years

City

Noida

Country

India

Postal Code

201303

Job Description

Broad Function:

We are looking for a Senior AI/ML Engineer to join our AI Platform team and drive the design, development, and production deployment of intelligent agentic systems. You will work at the intersection of cutting-edge Gen AI research and real-world engineering, owning end-to-end delivery of LLM-powered products — from RAG pipelines and multi-agent orchestration to model fine-tuning, safety guardrails, and observability.

This is a hands-on, high-ownership role. You will mentor engineers, influence architecture decisions, and collaborate closely with product and data science teams to ship AI features that are reliable, scalable, and safe

Purpose of the Role:

To design, build, and deploy scalable AI/ML solutions, including LLM-powered and agentic systems, ensuring high performance, reliability, and safety. Drive end-to-end delivery of AI products while mentoring teams and influencing architecture to enable impactful, production-ready AI capabilities.

Roles and Responsibilities (not limited to):

1. Core AI & Generative AI:

Design and develop advanced AI systems including:

Agentic RAG, Adaptive RAG pipelines
Multi-Agent Systems (MAS)

Evaluate and optimize LLM outputs based on:

Retrieval quality
Answer relevance and faithfulness

Build scalable AI workflows using frameworks such as Lang Chain and Lang Graph Testing and Support.

2. Model Fine-Tuning & Alignment:

Implement fine-tuning techniques such as:

LoRA and QLoRA

Enhance model performance through alignment strategies ensuring:

Accuracy
Safety
Domain relevance

3. AI Protocols & Integration:

Work with emerging AI standards including:

Model Context Protocol (MCP)
Agent-to-Agent (A2A) communication

Integrate AI systems into enterprise environments
Leverage tools such as Agent Development Kit (ADK)

4. Machine Learning & NLP:

Apply strong ML fundamentals including:

Model evaluation, cross-validation, and hyperparameter tuning

Work with NLP concepts such as:

Tokenization, embeddings, transformers, attention mechanisms

Develop models using PyTorch and/or TensorFlow

5. Engineering & Production:

Develop scalable, production-grade applications using Python
Optimize databases using SQL/PostgreSQL
Work on full-stack integrations

6. Data & Vector Infrastructure:

Design and implement vector-based architecture using pgvector, Pinecone, Weaviate, Qdrant, etc.
Build: Embedding pipelines
Chunking strategies
Scalable similarity search systems

7. MLOps & Observability:

Manage ML lifecycle using tools like: MLflow, Weights & Biases
Implement monitoring for:

Model drift
Accuracy degradation
Data quality issues

8. Prompt Engineering & LLM Safety:

Design advanced prompting strategies: Chain of Thought (CoT), few-shot, prompt tuning
Mitigate risks such as:

Prompt injection
Adversarial inputs

9. AI Safety & Guardrails:

Implement guardrails to ensure safe and compliant AI outputs:

Content filtering
Toxicity detection
Response boundary control

Collaborate with security and compliance teams to ensure adherence to policies and regulations

CULTURAL TRAITS (Critical Fit Requirements):

High ownership with end-to-end delivery mindset in a fast-paced environment
Strong focus on innovation and continuous learning in AI/GenAI
Effective cross-functional collaboration across teams
Comfortable in high-impact, stakeholder-facing roles
Agile problem-solver with strong accountability
Committed to secure, ethical, and responsible AI development

Requirements

Desired Qualifications & Experience:

6–8 years of overall experience in software development.
3–4 years of hands-on experience in AI/ML roles, preferably within a product-based organization (non-services/consulting).
Proven track record of building and deploying AI/ML solutions from prototypes to production.
Demonstrated experience in leading and mentoring teams of 5+ engineers, including conducting code reviews, design reviews, and providing career guidance.
Strong cross-functional collaboration skills, with the ability to effectively work with product managers, data scientists, and platform/engineering teams.
Open-source contributions to AI/ML frameworks.
Experience with Graph RAG or Knowledge Graph-backed retrieval.
Familiarity with ADK (Agent Development Kit) or similar low-level agent runtimes.
Java or React exposure for full-stack AI product integration.
Proficient in AWS and Azure for deploying and scaling AI/ML workloads.
Familiarity with managed ML services: SageMaker, Azure ML, Bedrock, or OpenAI API platforms.

Benefits

The company offers a range of employee benefits including:

Cashless medical insurance for employees, spouses, and children
Accidental insurance coverage
Life insurance coverage
Retirement benefits including Provident Fund (PF) and Gratuity
ESI*
Complementary meal coupons
Company-paid transportation
Sodexo benefits for income tax savings
Paternity & Maternity Leave Benefit
National Pension Saving
EL encashment
Sick Leave

Apply Now

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engineer java architecture jobs in noida, up

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Sr. Software Architect- Full stack

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Senior Lead - AI/ML

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