Senior AI/ML Engineer

About Position

We are seeking a Senior AI/ML Engineer (AI/MLOps Expertise) with strong experience in developing, deploying, and operating scalable AI/ML solutions. The ideal candidate will be responsible for building machine learning models, NLP and Generative AI solutions, RAG pipelines, AI agents, and production-grade AI platforms. The role requires expertise in Python, PyTorch, data engineering, model deployment, MLOps practices, and distributed AI systems to deliver intelligent, scalable, and business-driven solutions.

• Role: Senior AI/ML Engineer
• Location: Pune
• Experience: Between 5 to 8 Years
• Job Type: Full Time Employment

What You'll Do:

• Design, develop, deploy, and optimize AI/ML solutions for enterprise-scale applications.
• Build machine learning, deep learning, NLP, and Generative AI models to solve complex business challenges.
• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines and AI Agent-based solutions.
• Create scalable data pipelines and workflows to support model training, inference, and monitoring.
• Deploy ML models using batch, streaming, and real-time serving architectures.
• Integrate AI solutions with enterprise applications, APIs, and automation platforms such as UiPath.
• Collaborate with data scientists, software engineers, business stakeholders, and product teams to deliver AI-driven solutions.
• Implement MLOps best practices for model versioning, deployment, monitoring, governance, and lifecycle management.
• Optimize model performance, scalability, reliability, and cost efficiency in production environments.
• Troubleshoot and resolve issues across AI models, data pipelines, and deployment platforms.
• Participate in architecture discussions, code reviews, and technical design sessions.
• Stay updated on emerging AI, GenAI, Agentic AI, and machine learning technologies.

Expertise You'll Bring:

• 5 to 8 years of relevant experience in AI/ML Engineering, MLOps, Data Engineering, or a similar role.
• Strong hands-on expertise in Python, PyTorch, AI/ML, and UiPath integration.
• Solid understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI technologies.
• Experience building and deploying RAG pipelines, AI Agents, LLM-powered applications, and intelligent automation solutions.
• Strong software engineering skills with expertise in scalable application design, coding standards, testing, and debugging.
• Experience with model deployment patterns including batch, streaming, and online inference architectures.
• Hands-on experience with distributed systems, data processing frameworks, and large-scale AI platforms.
• Knowledge of Vector Databases and NoSQL Databases such as Pinecone, ChromaDB, Weaviate, MongoDB, or similar technologies.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with MLOps tools, CI/CD pipelines, containerization, and orchestration technologies.
• Strong problem-solving, analytical thinking, and troubleshooting capabilities.
• Excellent communication, collaboration, and stakeholder management skills.
• Educational background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Information Technology, or a related technical discipline.
• Preferred qualifications include BE/B.Tech, ME/M.Tech, MS, MCA, or equivalent from a recognized university.
• Certifications in AI/ML, Deep Learning, Generative AI, Cloud Platforms (AWS/Azure/GCP), Data Engineering, MLOps, or UiPath will be an added advantage.
• Strong academic foundation in Machine Learning, Statistics, Data Structures, Algorithms, Distributed Systems, Natural Language Processing, and Software Engineering.
• Research publications, AI project experience, or contributions to open-source AI initiatives will be considered a plus.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.

Let's unleash your full potential at Persistent - persistent.com/careers

Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.