Persistent Systems is hiring experienced professionals for two immediate-joining opportunities in India, with Pune preferred! The openings are for DevOps Engineer (8+ years) and AI/ML Lead (8+ years). Candidates with experience in Azure DevOps, Python, AI/ML deployment, Agentic AI, Generative AI, FastAPI, SQL and Azure should consider these opportunities. 📌 Job Details
- 🏢 Company: Persistent Systems
- 📍 Location: India, Pune preferred
- 💼 Open Positions: DevOps Engineer and AI/ML Lead
- 👨💻 Experience: 8+ years for both roles
- ⏳ Joining: Immediate joiners only
- ☁️ DevOps Skills: Azure DevOps, Python, AI/ML project deployment
- 🤖 AI/ML Lead Skills: Agentic AI, Generative AI, FastAPI, Python, SQL, Azure
- 📩 Application Email: Lalitkumar_Chaudhari@persistent.com
🏢 About Persistent Systems
Persistent Systems is a global technology services and digital engineering company that helps businesses build, modernize and manage software products, cloud platforms and enterprise technology solutions. Its work spans software engineering, cloud transformation, data, AI and digital product development. For experienced professionals, the company can offer exposure to enterprise projects, modern engineering practices and complex technology challenges. These roles are especially relevant as organizations increasingly need reliable cloud deployment for AI applications and practical implementation of generative and agent-based AI systems.
💼 1. DevOps Engineer – Azure DevOps & AI/ML Deployment
- ⚙️ Build, maintain and troubleshoot CI/CD pipelines using Azure DevOps.
- 🐍 Use Python for automation, deployment scripts and operational tooling.
- ☁️ Support deployment, configuration and monitoring of AI/ML applications.
- 🔐 Follow secure deployment practices, access controls and configuration management.
- 📊 Improve release reliability, environment consistency and deployment efficiency.
- 🤝 Collaborate with data scientists, ML engineers, developers and cloud teams.
🤖 2. AI/ML Lead – Agentic AI & Generative AI
- 🧠 Design and develop GenAI and Agentic AI solutions for business use cases.
- ⚡ Build Python-based APIs and services using FastAPI.
- 🗄️ Work with SQL databases and data integration workflows.
- ☁️ Develop or deploy AI solutions in Microsoft Azure environments.
- 🔍 Evaluate model outputs, reliability, latency and application performance.
- 👥 Guide engineering decisions, collaborate with stakeholders and support delivery. The precise responsibilities may vary by project; candidates should confirm the role scope with the recruiter.
⭐ Why These Roles Are Good for Experienced Professionals
- 🚀 For DevOps Engineers: Build expertise in automating deployments, managing delivery pipelines and supporting AI/ML workloads. This experience can support career growth toward Senior DevOps Engineer, Platform Engineer or MLOps Engineer.
- 🧠 For AI/ML Leads: Strengthen your expertise in Agentic AI, GenAI application development, API engineering and cloud deployment. These skills can help you progress toward AI Architect, GenAI Lead or Principal AI Engineer roles.
🎯 Expected Interview Rounds at Persistent Systems
- 📝 Round 1 – Recruiter Screening: Relevant experience, technical skills, current location, notice period and immediate joining availability.
- 💻 Round 2 – Technical Interview: Azure DevOps, Python, CI/CD and deployment scenarios for DevOps candidates; Agentic AI, GenAI, FastAPI, Python and SQL for AI/ML candidates.
- 🏗️ Round 3 – Advanced Technical/Project Discussion: Troubleshooting deployment failures, designing AI workflows, cloud architecture, production readiness and real-world project challenges.
- 🤝 Round 4 – Managerial or Client Discussion: Project ownership, communication, technical leadership and collaboration with cross-functional teams.
- 👔 Final HR Discussion: Compensation, joining date, location and employment details. These are preparation guidelines, not confirmed official interview rounds.
💰 Expected Salary Range
- 💻 DevOps Engineer (8+ years): ₹18–32 LPA
- 🤖 AI/ML Lead (8+ years): ₹22–40 LPA Actual offers may differ significantly based on technical depth, leadership responsibilities, project requirements and current compensation. These figures are estimates, not confirmed Persistent Systems salary bands.
🧠 Preparation Tips for These Roles
- ⚙️ DevOps: Practise Azure Pipelines, YAML configuration, build/release automation, Git workflows, deployment approvals, secrets management and rollback strategies.
- 🐍 Python: Prepare scripting, API integrations, error handling, logging and automation exercises.
- ☁️ AI/ML Deployment: Understand model packaging, environment dependencies, deployment pipelines, model monitoring and version management.
- 🤖 Agentic AI: Prepare tool calling, multi-step workflows, agent orchestration, guardrails, evaluation and failure handling.
- 🧠 GenAI: Revise LLM integration, prompt design, RAG fundamentals, hallucination reduction and response evaluation.
- ⚡ FastAPI: Practise REST endpoint development, request validation, authentication, asynchronous operations and API testing.
- 🗄️ SQL and Azure: Review joins, query optimization, data handling, cloud services and secure application deployment.
- 📊 Project Examples: Prepare two detailed examples demonstrating a technical challenge, your contribution, the solution and measurable results.
📄 Resume Tips
Tailor your resume to the position rather than applying with a generic profile. DevOps candidates should highlight Azure DevOps pipelines, Python automation, cloud deployments and AI/ML workload support. AI/ML candidates should emphasize Agentic AI or GenAI projects, FastAPI services, Azure deployments, SQL and technical leadership. Include measurable achievements wherever possible, such as reduced deployment time, improved release success rates, faster API responses or improved AI evaluation results. Mention tools you have genuinely used and be ready to explain your architecture and decisions.
📩 How to Apply
Interested immediate joiners with 8+ years of relevant experience should share their updated CV with the recruiter:
- 📧 Email: Lalitkumar_Chaudhari@persistent.com
- 📝 Suggested Subject: Application – DevOps Engineer or AI/ML Lead – Immediate Joiner
- 📌 Mention your preferred role, total experience, current location, notice period and availability to join. 🚀 If your experience matches either position, send your updated CV and clearly specify which role you are applying for.
