AI/ML Engineer

About the role We are hiring a AI/ML Engineer. If you are self-driven individuals who love to find innovative solutions and can perform under pressure. If you are passionate about building large scale, high - performance, rich web applications. If you are curious and collaborative, excited about learning new technologies, have a demonstrated engineering mind, passionate about tackling the hard problems in technology, love to create and iterate on the products/platforms and tools of the future, and - Collaboratively partner with our clients to drive their success. At Oneture we are looking for people like you, you'll be a part of a growing team; you will work in small, multi-disciplinary, fast-moving teams that co-build new digital products, services, and experiences based on innovative ideas. You will play a critical role in building solutions from scratch, iterating quickly, and getting them client/market-ready. Responsibilities Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders — to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We’re Looking For: 1 to 3 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: Bachelor’s or Master’s degree from leading Indian institutes / Universities in: Computer Science, or Any Engineering discipline, or …