# ML Lead > Weekday AI · Bengaluru, India · Full-time · Posted 2026-05-21 **Salary:** INR 3,000,000–5,000,000 **Workplace:** on_site **Department:** Weekday's Client via platform ## Description **This role is for one of the Weekday's clients** **Salary range: Rs 3000000 - Rs 5000000 (ie INR 30-50 LPA) **Min Experience: 7+ years Location: Pune, Bangalore, Hyderabad JobType: full-time We are looking for a highly skilled and innovative Machine Learning (ML) Lead with an entrepreneurial spirit, who can excel both as an individual contributor (IC) and as a team leader. The ideal candidate will lead ML initiatives, drive innovation, and build a new ML team while promoting a culture of mentorship and collaboration. This position also includes exploring and developing regulatory technology (RegTech) solutions, delivering impactful ML-powered systems, and managing projects from inception through deployment. ## Requirements **Key Responsibilities** **Machine Learning Development** - Design, build, and implement machine learning models for a variety of applications, such as RegTech solutions, predictive analytics, natural language processing, and computer vision. - Foster innovation by testing and applying state-of-the-art algorithms and frameworks to address complex challenges. - Enhance models to ensure scalability, efficiency, and suitability for real-time deployment. **ML Operations (MLOps)** - Create and oversee comprehensive ML pipelines covering data acquisition, preprocessing, model training, deployment, and ongoing monitoring. - Adopt MLOps best practices, including continuous integration/continuous deployment (CI/CD), model versioning, and production monitoring systems. - Guarantee that deployed models are robust and scalable to maintain consistent performance in production environments. **Team Leadership and Mentorship** - Establish and manage a high-performing machine learning team from inception, setting clear objectives and cultivating a collaborative and innovative culture. - Provide mentorship by assisting team members with technical difficulties, professional growth, and adherence to industry standards. - Motivate and encourage the team to take responsibility and excel within their roles. **Initiative and Innovation** - Proactively take responsibility for projects, seeking opportunities to deliver value through ML-based solutions. - Investigate and develop innovative machine learning techniques specifically designed to address challenges in regulatory technology (RegTech) and compliance. - Keep abreast of industry developments and new technologies to promote forward-thinking solutions. **Cross-Functional Collaboration** - Collaborate closely with product managers, engineers, and stakeholders to ensure machine learning initiatives align with business objectives and compliance requirements. - Translate complex regulatory specifications into effective technical solutions that ensure accuracy, scalability, and compliance. **Research and Documentation** - Conduct research to advance the use of machine learning within RegTech and other critical domains. - Maintain comprehensive documentation of models, pipelines, and workflows to ensure clarity, reproducibility, and knowledge sharing. - Communicate findings and progress clearly and effectively to stakeholders and leadership. **Challenges We Are Tackling** As an ML Lead, you will address some of the most pressing and impactful challenges, such as: - Identity Fraud Detection: Utilizing machine learning to identify and prevent fraudulent activities including AML, identity document forgery, and biometric face recognition fraud. - Intelligent Document Processing: Developing systems that accurately extract, classify, parse, and analyze information from complex documents, enabling scalable automation across fintech and other industries. - Motor Insurance & Finance: Creating ML-based solutions for policy generation, fraud prevention, automating vehicle claims processing, reducing delays, and increasing accuracy. - Contract Lifecycle Management: Applying natural language processing (NLP) to optimize legal contract management tasks such as automatic clause extraction, compliance verification, and contract analytics. - User Knowledge Graph: Leveraging graph databases and anomaly detection techniques to gain actionable insights into user behaviors, generate trust scores for users and their associated documents, and improve decision-making for personalized and secure services. **Key Qualifications** **Education and Experience** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related discipline (PhD preferred). - Over 7 years of experience in ML/AI, with a proven history of successful model deployment. - Preferred background or interest in RegTech/Fintech and applying ML solutions in these areas. - More than 3 years of experience in team leadership or mentorship, with demonstrated capability in team growth. **Technical Skills** - Proficiency with machine learning frameworks and tools. - Deep understanding of MLOps platforms (e.g., MLflow, Kubeflow) and cloud services (AWS, GCP, Azure). - Experienced in Python programming and familiar with big data technologies such as Spark and Hadoop. - Knowledge of regulatory and compliance systems is a plus. - Experience working with unstructured document data is advantageous. **Soft Skills** - A mindset driven by innovation with enthusiasm for solving complex problems. - Strong leadership, mentoring, and team-building capabilities. - Excellent problem-solving skills with a proactive approach. - Outstanding communication abilities for engaging technical and non-technical audiences. **Why Join Us?** - **Work on advanced ML and RegTech solutions that deliver tangible real-world impact.** - Lead and build an ML team from the ground up, laying the groundwork for future success. - Enjoy ownership and the chance to innovate within a fast-paced industry. - Address vital challenges in areas like vehicle claims, insurance, fraud detection, and document processing. - Be part of a collaborative and innovation-oriented environment with opportunities for career advancement. - Receive a competitive salary and benefits package. ## Apply [Apply at Weekday AI](https://apply.workable.com/weekday-1/j/07AB758803/apply) --- Powered by [Workable](https://www.workable.com)