Wadgaon Budruk Pune Maharashtra Ops engineer automation Jobs – 68 Open Jobs Today

AI / ML Engineer
Accenture —Pune, Maharashtra
- Full-time
- Azure
- Java
- Master's degree
Security Automation Engineer
AlphaSense —Pune, Maharashtra
- Remote
- Azure
- Master's degree
- AWS
14d
RPA Engineer
Credence Global Solutions —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Databases
MLOps Engineer
Codvo.ai —Pune, Maharashtra
- Azure
- Computer Science
- DevOps
Sr. Test Engineer - API Testing
Yash Technologies —Pune, Maharashtra
- Azure
- DevOps
- Java
Process Analyst/SME (US Healthcare RCM)
Credence Global Solutions —Pune, Maharashtra
- Full-time
- Master's degree
- Databases
- SQL
QA Engineer
Centre for Computational Technologies —Pune, Maharashtra
- AutoCAD
- Azure
- Computer Science
Senior Staff Engineer, Machine Learning Platform
PubMatic —Pune, Maharashtra
- Computer Science
- PMP
- Java
DT Advisor– AI Ops & Observability
Baker Hughes —Pune, Maharashtra
- Full-time
- Azure
- DevOps
- AWS
- Flexible schedule
7d
Product Operations Associate
Nexus One —Pune, Maharashtra
- Full-time
- AI
- Communication skills
8d
Solution Design Engineer
UNBOXROBOTICS LABS PRIVATE LIMITED —Pune, Maharashtra
- AutoCAD
- CAD
- Analysis skills
Quick apply
Lead AI Engineer
Dentsu —Kharadi, Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Master's degree
- SQL
Software Engineer
FlytBase —Pune, Maharashtra
- Full-time
- System design
- AWS
- APIs
- Flexible schedule
Service Management Engineer I
Mastercard —Pune, Maharashtra
- Full-time
- Azure
- Oracle
- SQL
7d
MLOps + LLMOps Engineer
Credence Global Solutions —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Sr Manager, Network and Infrastructure Reliability | India
Five9 —Pune, Maharashtra
- Computer Science
- Bachelor's degree
- Computer networking
Senior BizOps Engineer
Mastercard —Pune, Maharashtra
- Full-time
- Computer Science
- B.Sc
- Bachelor's degree
Senior AI Engineer
Velsera —Pune, Maharashtra
- Full-time
- Remote
- DevOps
- Java
- AWS
- Health insurance
- Paid time off
Quick apply
Salesforce Agentforce Developer
Jade Global —Pune, Maharashtra
- Full-time
- Salesforce
- Master's degree
- Bachelor's degree
Sr. Data Analyst - Power BI / Fabric
Yash Technologies —Pune, Maharashtra
- Hybrid work
- Azure
- DevOps
- Master's degree
13d

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AI / ML Engineer

Accenture -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

CI/CD
Image processing
Azure
Node.js
Law
JUnit
Java
Master's degree
OS Kernels
AWS
Machine learning
Continuous integration
APIs
AI
Python

Full job description

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary
We are seeking a hands-on AI Native Engineer who can design, build, and deploy end-to-end agentic and LLM-powered systems. This includes constructing RAG pipelines, working with vector databases, building autonomous or semi-autonomous agents, integrating tools and skills, and developing evaluation frameworks for high-quality AI behaviour. You will prototype rapidly, experiment with models, and evolve solutions from PoC to production while working closely with cross-functional teams.

AI Powered Tech Talent

Key Responsibilities
Agentic & LLM System Development
Build agentic AI systems, including agent orchestration, planning loops, tool calling, and memory modules.
Implement LLM toolchains, custom prompts, templates, evaluators, and multi-step reasoning workflows.
Develop autonomous/semi-autonomous agents for retrieval, summarization, decision support, or workflow automation.
RAG Pipelines & Vector Intelligence
Design and implement RAG pipelines end-to-end: ingestion, chunking, embeddings, indexing, vector search, hybrid retrieval, and grounding.
Integrate vector databases such as pgvector, Pinecone, Weaviate, or Milvus.
Optimize retrieval quality, latency, and factual accuracy using rerankers, retrieval evaluators, and freshness pipelines.
Model Integration & AI Ops
Integrate enterprise-grade AI APIs, foundation models, and transformer models into scalable systems.
Implement robust evaluation frameworks including offline and online evals, regression tests, content safety checks, and red-team scenarios.
Build monitoring for model drift, agent failure modes, hallucination detection, and end-to-end system health.
Full-Stack & Cloud Alignment
Deploy services using Python/Node/Java microservices, serverless functions, or containerized workloads.
Integrate event streams, API gateways, and cloud-native patterns across Azure/AWS/GCP.
Build CI/CD pipelines for AI services with safe rollouts, versioning, and feature flags for model updates.
Prototyping & Rapid Iteration
Rapidly experiment with models, embeddings, architectures, and agentic patterns.
Translate business requirements into AI-native technical architectures and communicate trade-offs via demos and deep-dives.
Document designs, experiments, and evaluation results for reproducibility and knowledge sharing.
Professional & Technical Skills
Must-Have (AI Native Core)
Hands-on experience with LLMs, agent frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, AutoGen), and vector DBs.
Strong Python skills for building agents, RAG services, data pipelines, and evaluation harnesses.
Deep understanding of transformer models, embeddings, prompt engineering, and model fine-tuning workflows.
Experience deploying AI systems to production with monitoring, error handling, retries, and fallback strategies.
Good to Have
Experience with cloud AI platforms (Azure OpenAI, Bedrock, Vertex AI).
Knowledge of multimodal models, reinforcement learning, or advanced reasoning agents.
Familiarity with evaluation frameworks (pytest, JUnit) and custom eval harnesses.
Additional Information
Minimum 3 years of experience in ML/AI engineering (AI-native experience preferred).
Location: Bengaluru.
Education: 15 years full-time education.

15 years full time education

Apply Now

Refine Your Search

ops engineer automation jobs in wadgaon budruk pune maharashtra

AI / ML Engineer

Security Automation Engineer

RPA Engineer

MLOps Engineer

Sr. Test Engineer - API Testing

Process Analyst/SME (US Healthcare RCM)

QA Engineer

Senior Staff Engineer, Machine Learning Platform

DT Advisor– AI Ops & Observability

Product Operations Associate

Solution Design Engineer

Lead AI Engineer

Software Engineer

Service Management Engineer I

MLOps + LLMOps Engineer

Sr Manager, Network and Infrastructure Reliability | India

Senior BizOps Engineer

Senior AI Engineer

Salesforce Agentforce Developer

Sr. Data Analyst - Power BI / Fabric

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