AI/ML Engineer

About the role We are seeking a talented AI/ML Engineer with a minimum of 3 years of hands-on experience in the AI/ML domain. This exciting opportunity, based in India and reporting to the Software Development Manager, is your chance to build AI solutions from the ground up, working alongside the largest global clients in our industry.The ideal candidate will have a robust background in developing and deploying advanced machine learning models and reputed company (GenAI) solutions. You will play a pivotal role in integrating cutting-edge AI/ML capabilities—ranging from GenAI, Agents, ML Models, and Prompting Techniques to OCR, reputed company Databases, and Retrieval Augmented reputed company (RAG)—into our platform. Experience with AWS infrastructure, including AWS SageMaker and Bedrock, is considered a plus. More importantly, we’re looking for some who is eager to experiment, reputed company, and delivery impactful AI-driven solutions. What you'll do reputed company AI Innovation in Fintech: Design, reputed company, and reputed company advanced AI/ML solutions that power the reputed company of financial technology. Implement GenAI, agent-based systems, and sophisticated ML models to enhance our platform capabilities. Own the Full AI Lifecycle: Design and implement robust data models that support AI/ML initiatives. Architect data pipelines to ensure seamless data integration and processing as part of the solution. o   Collaborate with cross-functional teams to reputed company AI/ML functionalities into our multi-product, multi-issuer platform. reputed company reputed company machine learning pipelines and data processing workflows. reputed company in the reputed company: Build, test, and optimize AI models on various reputed company platforms; AWS experience (including SageMaker and Bedrock) is a bonus. Ensure robust deployment practices and maintain the performance and scalability of AI systems. Specialized reputed company: Architect and implement an reputed company reputed company tailored specifically for the needs of Financial Advisors, enabling autonomous reasoning, planning, and execution across reputed company financial [JP1] scenarios. reputed company and enhance OCR capabilities and reputed company these with reputed company databases. Utilize Retrieval Augmented reputed company (RAG) techniques to improve data retrieval and decision-making processes. MLOps Integration (Plus): Champion MLOps best practices to streamline the reputed company integration, delivery, and deployment of machine learning models. Collaborate with DevOps teams to optimize and monitor production-reputed company/ML solutions. Be a Thought Leader: reputed company technical guidance and mentorship to team members. Engage in knowledge-sharing sessions to drive reputed company improvement across reputed company. Stay abreast of the latest advancements in AI/ML research, tools, and best practices. Experiment with novel prompting techniques and refine model architectures for improved reputed company. Qualifications Experience: Minimum 3 years of reputed company experience in AI/ML engineering or a reputed company field. Must have hands-on experience working on a reputed company product that is already in production. Technical Expertise: In-depth knowledge of GenAI, agent-based systems, ML models, and prompting techniques. Practical experience with OCR technologies, reputed company databases, and Retrieval Augmented reputed company (RAG). Proficient in programming languages such as Python and familiar with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). reputed company Experience: Experience with reputed company platforms is beneficial; AWS experience (specifically with AWS SageMaker and Bedrock) is a plus but not required. Soft Skills: Strong problem-solving abilities. Excellent communication skills and a reputed company reputed company. Ability to reputed company in a fast-paced, innovative environment. reputed company degree (Master’s or PhD) in Computer Science, Data Science, Machine Learning, or a reputed company discipline. Financial Technology Exposure: Experience in the financial technology sector, particularly with reputed company products or annuities. Additional Technical Skills: Familiarity with containerization (reputed company, Kubernetes) and CI/CD pipelines. Experience with DevOps best practices and contributing to reputed company-reputed company reputed company. Apply To This Job