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Gen AI - Lead

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Posted On: 21 May 2026

Location: Noida, UP, India

Company: Iris Software

Why Join Iris?
Are you ready to do the best work of your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to grow in an award-winning culture that truly values your talent and ambitions?
Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.
 
About Us  
At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job — it’s a launchpad for growth.
Our Employee Value Proposition, “Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.
Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

We are seeking an experienced MLOps & AIOps / GCP Engineer to join the Gemini domain team. This role focuses on designing, building, and operating secure, scalable, production-grade ML and GenAI platforms on Google Cloud Platform (GCP), enabling reliable model training, deployment, monitoring, and incident response. You will collaborate with data scientists, platform engineers, and product teams to operationalize ML/GenAI use cases (including agentic workflows) and ensure high availability through robust production support, automation, and observability practices.

  • Experience: 8-9 years
  • Work Mode: Hybrid
  • Employment Type: Full-time / Contract
  • Primary Tech Stack: Python, GCP, Vertex AI, GitHub CI/CD, LangChain, LangGraph

 

Required Technical Skills

Programming & Engineering

  • Python (production-grade development, packaging, testing, performance profiling)
  • Strong understanding of APIs/microservices patterns, containerization, and runtime optimization

Cloud Technologies (Primary: GCP)

  • Hands-on experience with Google Cloud Platform, including (as relevant):
    • Vertex AI (pipelines, training, endpoints, model registry, monitoring)
    • Cloud Storage, BigQuery, Pub/Sub
    • Cloud Run and/or GKE
    • Cloud Logging/Monitoring, IAM, Secret Manager, VPC networking

Data/ML/MLOps Platforms (any of the below)

  • Experience with at least one: Vertex AI / Databricks / Amazon SageMaker / Azure Machine Learning
  • MLOps fundamentals: pipeline orchestration, model registry, lineage, reproducibility, model monitoring, and automated retraining

GenAI / Agentic Frameworks (Mandatory)

  • Working knowledge of LangChain and LangGraph
  • RAG patterns, prompt and response handling, tool/function calling concepts, evaluation approaches

Databases / Vector Stores (Any)

  • Experience with databases and/or vector DBs (e.g., pgvector, Pinecone, Weaviate, Milvus, Elastic, OpenSearch, etc.)
  • Understanding of embeddings lifecycle, indexing strategies, and retrieval performance considerations

DevOps / CI-CD

  • GitHub CI/CD (e.g., GitHub Actions), branching strategies, release workflows

 

Required Experience

  • Must be proficient in GCP and related tech stack
  • Needs to know DevOps concepts using Github CI/CD
  • Must have worked on production support and aware of GenAI release management
  • Needs to know concepts of AI Ops, MCP server, Apigee.
  • At least 8+ years of work experience, at least 3+ years with GCP.

 

Mandatory Competencies

Data & AI - GEN AI - Workflow & Agentic Frameworks (LangChain / LangGraph)
Data & AI - GEN AI - AI Search Index
Data & AI - GEN AI - Retrieval-Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
Data & AI - GEN AI - Advanced GenAI & Agentic Framework Concepts
Data & AI - GEN AI - Fine-tuning & Model Customization / AI Agents & Tool Calling
Data & AI - GEN AI - Cloud Application Integration & Deployment
Data & AI - GEN AI - Python
Data & AI - GEN AI - Prompt Engineering / Vector Databases
Data & AI - GEN AI - Pandas
Data & AI - GEN AI - NumPy
Beh - Communication and collaboration

Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

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