Zoop.One - Lead Machine Learning Engineer - Data Modeling

Description :Role : ML Lead.Experience : 7+ Years.Location : Pune ( WFO ).Company Description : ZOOP.ONE is a leading platform that enables trust, verification speed, and ease of business in the customer onboarding process.Our products are designed to provide a secure and user-friendly solution for identity verification.With our powerful platform, we aim to create a singular platform for everyone to easily and securely share their identity.We are constantly expanding our network and working with multiple data sources to ensure maximum uptime and scalability.Job Description : ML Lead (Individual Contributor and Team Management).Position Overview : We are seeking a highly skilled and innovative Machine Learning (ML) Lead with an entrepreneurial mindset, capable of thriving in a dual role as an individual contributor (IC) and team leader.The ideal candidate will spearhead ML initiatives, drive innovation, and establish a new ML team while fostering a culture of mentorship and collaboration.This role also involves exploring and working on regulatory technology (RegTech) solutions, delivering impactful ML-driven systems, and taking ownership of projects from conception to deployment.Key Responsibilities : Machine Learning Development : - Design, develop, and deploy machine learning models for diverse use cases, including RegTech applications, predictive analytics, natural language processing, and computer vision.- Drive innovation by experimenting with cutting-edge algorithms and frameworks to solve challenging problems.- Optimize models for scalability, performance, and real-time deployment.ML Operations (MLOps) : - Build and manage end-to-end ML pipelines, encompassing data collection, preprocessing, model training, deployment, and monitoring.- Implement MLOps best practices, including CI/CD pipelines, model versioning, and production monitoring.- Ensure robustness and scalability of deployed models, enabling consistent performance in production environments.Team Leadership and Mentorship : - Build and lead a high-performing ML team from scratch, defining team goals and fostering a culture of collaboration and innovation.- Act as a mentor, guiding team members on technical challenges, career development, and industry best practices.- Inspire and motivate the team to take ownership and excel in their roles.Initiative and Innovation : - Take proactive ownership of projects, identifying opportunities to create value through ML-driven solutions.- Explore and develop innovative ML approaches tailored to regulatory technology (RegTech) challenges and compliance requirements.- Stay updated with industry trends and emerging technologies to drive forward-thinking solutions.Cross-Functional Collaboration : - Partner with product managers, engineers, and stakeholders to align ML projects with business and compliance goals.- Translate complex regulatory requirements into technical solutions that ensure accuracy, scalability, and compliance.Research and Documentation : - Conduct research to advance the application of ML in RegTech and other key domains.- Document models, pipelines, and processes to ensure clarity, reproducibility, and knowledge sharing.- Present findings and progress to stakeholders and leadership effectively.Challenges We Are Tackling : As an ML Lead, you will work on solving some of the most critical and impactful challenges, including : - Identity Fraud Detection : Leveraging ML to detect and prevent fraudulent activities in AML, identity document tampering and face biometrics.- Intelligent Document Processing : Building systems to extract, classify, parse, and analyze information from complex documents with high accuracy and scalability to automate various processes in Fintech and other industries.- Motor Insurance & Finance : Developing ML-driven solutions for policy generation, Fraud Prevention, automating vehicle claims processing, minimizing delays, and improving accuracy.- Contract Lifecycle Management : Leveraging Natural Language Processing (NLP) to streamline and enhance the management of legal contracts, including tasks like automated clause extraction, compliance checks, and contract analytics.- User Knowledge Graph : Leveraging Graph Databases and anomaly detection to provide actionable insights into user behavior, generate trust scores for users and their associated documents, and enhance decision-making for personalized and secure services.Key Qualifications : Education and Experience : - Bachelors or Masters degree in Computer Science, Machine Learning, Data Science, or a related field (PhD preferred).- 7+ years of experience in ML/AI, with a strong track record of successful model deployments.- Preferred experience in RegTech/Fintech or an interest in applying ML in Fintech solutions.- 2+ years of team management or mentorship experience, with a proven ability to grow teams.Technical Skills : - Expertise in ML frameworks and tools.- Strong understanding of MLOps platforms (e.g., MLflow, Kubeflow) and cloud infrastructure (AWS, GCP, Azure).- Proficiency in Python, and experience with big data tools (e.g., Spark, Hadoop).- Familiarity with regulatory and compliance systems is a plus.- Working with unstructured document information is nice to have.Soft Skills : - Innovation-driven mindset with a passion for tackling complex challenges.- Strong leadership, mentoring, and team-building skills.- Excellent problem-solving abilities and an ability to take initiative.- Exceptional communication skills for both technical and non-technical stakeholders.Why Join Us? : - Opportunity to work on cutting-edge ML and RegTech solutions with real-world impact.- Lead and shape an ML team from the ground up, setting the foundation for long-term success.- Ownership and opportunity to innovate in a high paced industry.- Tackle critical challenges in domains like vehicle claims, insurance, fraud detection, and document processing.- A collaborative and innovation-focused environment with room for career growth.- Competitive compensation and benefits package. (ref:hirist.tech)