Machine Learning Lead - Python

Job Description : ML Lead (Individual Contributor and Team Management) 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 : 1. 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. 2. 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. 3. 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. 4. 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. 5. 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. 6. 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 : 1. Education and Experience : - Bachelor's or Master's 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. 2. 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. 3. 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. (ref:hirist.tech)

Location: pune, IN

Posted Date: 11/29/2024