Posted today · be early
AI/ML Engineer
Luma Financial Technologies
IndiaremotePosted today
Skill Required
AI-ML-EngineerMachine-Learning-EngineerData-ScienceFintech-EngineeringEngineeringAI-ML-Software-EngineerAI-ML-Engineer-JobsAI-ML-Engineering-JobsAI-ML-Services-EngineerAI-ML-Cloud-EngineerMachine Learning EngineerAI EngineerAIMachine LearningCI/CDDockerGenerative AIrelated fieldScikit-learnCD pipelinesKubernetesR ProgrammingTensorFlowdevelopingMLflowPyTorchfintechPythondesignDevOpsCloudRAGAWSandCICDFulltime
Key highlights
- Based in India, reporting to the Software Development Manager
- Minimum 3 years of hands-on experience required in AI/ML engineering or a related field
- Must have hands-on experience working on a commercial product already in production
- Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or related discipline preferred
- AWS SageMaker and Bedrock experience is a plus but not required
- Experience in fintech, particularly with structured products or annuities, is a plus
Role overview
Luma Financial Technologies is seeking a talented AI/ML Engineer based in India to build AI solutions from the ground up alongside the largest global clients in the industry. The role involves designing, developing, and deploying advanced machine learning and generative AI solutions—including GenAI, Agents, OCR, Vector Databases, and RAG—into Luma's multi-product, multi-issuer fintech platform. The engineer will own the full AI lifecycle, from data modeling and pipeline architecture to cloud-based model deployment and MLOps integration.
Responsibilities
- Design, develop, and deploy advanced AI/ML solutions that power the next generation of financial technology
- Implement GenAI, agent-based systems, and sophisticated ML models to enhance platform capabilities
- 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
- Collaborate with cross-functional teams to integrate AI/ML functionalities into the multi-product, multi-issuer platform
- Develop scalable machine learning pipelines and data processing workflows
- Build, test, and optimize AI models on various cloud platforms
- Ensure robust deployment practices and maintain the performance and scalability of AI systems
- Architect and implement an Agentic Framework tailored specifically for the needs of Financial Advisors, enabling autonomous reasoning, planning, and execution across complex financial scenarios
- Develop and enhance OCR capabilities and integrate these with vector databases
- Utilize Retrieval Augmented Generation (RAG) techniques to improve data retrieval and decision-making processes
- Champion MLOps best practices to streamline the continuous integration, delivery, and deployment of machine learning models
- Collaborate with DevOps teams to optimize and monitor production-level AI/ML solutions
- Provide technical guidance and mentorship to team members
- Engage in knowledge-sharing sessions to drive continuous improvement across the team
- 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 outcomes
Requirements
- Minimum 3 years of professional experience in AI/ML engineering or a related field
- Must have hands-on experience working on a commercial product that is already in production
- In-depth knowledge of GenAI, agent-based systems, ML models, and prompting techniques
- Practical experience with OCR technologies, vector databases, and Retrieval Augmented Generation (RAG)
- Proficient in programming languages such as Python and familiar with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong problem-solving abilities
- Excellent communication skills and a collaborative mindset
- Ability to thrive in a fast-paced, innovative environment
- Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or a related discipline
Nice to have
- Experience with cloud platforms
- AWS experience, specifically with AWS SageMaker and Bedrock
- Experience in the financial technology sector, particularly with structured products or annuities
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
- Experience with DevOps best practices and contributing to open-source projects
Additional details
- Founded in 2018, Luma Financial Technologies has pioneered a cutting-edge fintech software platform adopted by broker/dealer firms, RIA offices, and private banks around the world
- Luma provides a fully customizable, independent, buy-side technology platform that helps financial teams more efficiently learn about, research, purchase, and manage alternative investments as well as annuities
- Luma gives users the ability to oversee the full end-to-end process lifecycle by offering a suite of solutions including education resources and training materials, creation and pricing of custom structured products, electronic order entry, and post-trade management
- Headquartered in Cincinnati, OH, with offices in New York, NY; Miami, FL; Zurich, Switzerland; and Lisbon, Portugal
- This opportunity is based in India and reports to the Software Development Manager
- Originally posted on Himalayas