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    Home/Jobs/AI/ML Engineer

    AI/ML Engineer

    Luma Financial Technologies

    India
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    Gen AI
    LLM
    RAG
    Python
    TensorFlow
    PyTorch
    Scikit-learn
    AWS
    AWS SageMaker
    Bedrock
    Docker
    Kubernetes

    Description

    Luma Financial Technologies is seeking an AI/ML Engineer with 3+ years of experience to build AI solutions from the ground up, working with global clients in the fintech industry.

    Company: Luma Financial Technologies

    Role: AI/ML Engineer

    Location: India | Remote

    Experience:

    • Minimum 3 years of professional experience in AI/ML engineering or a related field
    • Hands-on experience working on a commercial product that is already in production

    Key Skills:

    • GenAI
    • Agent-based systems
    • ML models
    • Prompting techniques
    • OCR technologies
    • Vector databases
    • Retrieval Augmented Generation (RAG)
    • Python
    • TensorFlow
    • PyTorch
    • scikit-learn
    • AWS
    • AWS SageMaker
    • Bedrock
    • Docker
    • Kubernetes
    • CI/CD pipelines

    Qualification:

    • Advanced degree (Master’s or PhD) in Computer Science, Data Science, Machine Learning, or a related discipline

    Role Focus:

    • Design, develop, and deploy advanced AI/ML solutions for fintech
    • Implement GenAI, agent-based systems, and sophisticated ML models
    • Own the Full AI Lifecycle: Design and implement robust data models
    • Architect data pipelines for seamless data integration and processing
    • Collaborate with cross-functional teams to integrate AI/ML functionalities
    • Develop scalable machine learning pipelines and data processing workflows

    Additional responsibilities:

    • Build, test, and optimize AI models on various cloud platforms
    • Ensure robust deployment practices and maintain AI system performance and scalability
    • Champion MLOps best practices for continuous integration, delivery, and deployment of machine learning models
    • Collaborate with DevOps teams to optimize and monitor production-level AI/ML solutions

    Nice to have:

    • Experience with AWS infrastructure, including AWS SageMaker and Bedrock
    • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
    • Experience with DevOps best practices and contributing to open-source projects
    • Financial Technology Exposure: Experience in the financial technology sector, particularly with structured products or annuities

    Other:

    • Headquartered in Cincinnati, OH, with offices in New York, NY, Miami, FL, Zurich, Switzerland, and Lisbon, Portugal
    • Opportunity to work with global clients in the fintech industry
    • Collaborative and fast-paced, innovative environment

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

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