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 Mathematics or related quantitative fields. Mandatory Skills: Gen AI, Python, ML Ops, RAG, Language Model About Oneture Technologies Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions— from ideation, project inception, planning through deployment to ongoing support and maintenance. Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.