About Company: L&T Finance
L&T Finance is a leading non-banking financial company (NBFC) in India, part of the larger Larsen & Toubro (L&T) Group. Established in 1994, L&T Finance has grown into a diversified financial services provider, offering a wide range of products including retail and corporate finance, housing finance, asset management, and wealth management services. With a strong focus on technology and innovation, L&T Finance is committed to leveraging cutting-edge solutions to enhance its financial products and services, improve customer experiences, and drive sustainable growth in the rapidly evolving Indian financial sector.
About Team
We are a high-performance advanced predictive and Generative AI team, operating out of Bengaluru, Pune, and Mumbai. The team comprises highly skilled and motivated data scientists and ML engineers with a proven track record. We are focused on applying cutting-edge AI technologies to develop and grow the lending businesses of L&T Finance.
Role Overview
We are seeking an experienced AI/ML Team Lead to join our team. The ideal candidate will possess a strong background in Machine Learning and/or Generative AI, with proficiency across both areas.
This is a dual role, requiring both active individual contribution to projects and effective team leadership. The balance between these responsibilities will evolve based on project and organizational needs, but a strong commitment to both aspects is essential.
Key Responsibilities
Technical Leadership & Individual Contribution (50-70% of time):
- Design, develop, and deploy end-to-end machine learning models and/or GenAI workflows on GCP Vertex AI and other platforms.
- Fetch and process data from BigQuery and various sources for model development.
- Build and deploy models using Python and frameworks such as Scikit-learn, XGBoost/CatBoost, TensorFlow, Keras, and Gemini.
- Implement a wide range of ML algorithms, including Regression, Classification, Forecasting, Unsupervised Learning, and Natural Language Processing.
- Develop and deploy computer vision solutions, including preprocessing of image and video data.
- Utilize and fine-tune state-of-the-art language models (LLMs) and foundation models for specific tasks and applications.
- Conduct exploratory data analysis and feature mining across structured and unstructured data sources.
- Develop and implement evaluation metrics to measure ML and LLM model performance and effectiveness.
- Apply CI/CD & MLOps best practices for model deployment, and automation of ML pipelines & monitoring.
- Stay up-to-date with the latest advancements in machine learning, GenAI, and related AI/ML technologies.
Team Leadership & Management (30-50% of time):
- Lead and mentor a team of 3-10 data scientists and ML engineers, fostering a collaborative and high-performing environment.
- Provide technical guidance and support to team members while also contributing directly to the codebase and model development.
- Plan and allocate tasks effectively, ensuring timely delivery of projects and efficient use of resources, balancing team assignments with own technical tasks.
- Conduct regular performance reviews and provide constructive feedback to team members to support their professional development, aligning individual growth with project needs.
- Facilitate team communication and resolve any conflicts that may arise, ensuring a positive and productive working environment for both individual contributors and the team as a whole.
- Promote a culture of innovation and continuous learning within the team, actively participating in knowledge sharing and exploration of new technologies.
Collaboration & Communication
- Liaise with Business teams, Credit teams, Collections, and other technology teams for requirement understanding, design, integration, and deployment of AI solutions.
- Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- Build and maintain strong working relationships with cross-functional teams.
- Manage stakeholder expectations and provide regular updates on project progress.
- Build and maintain ML models in production for both real-time and batch-based use cases.
Qualifications
- BS/BTech from a Tier 1 institution, or MS/MTech from a Tier 1 institution
- 10-15 years of experience in Machine Learning and/or Generative AI, with at least 3 years of experience in managing a team of 3-10 members. (However, we emphasize that strong capabilities are valued over strict years of experience)
Required Skills and Experience
- Strong proficiency in Python
- Expertise in Data Science and Machine Learning
- Proven experience in leading and managing a team
- Experience with Natural Language Processing and Deep Learning
- Familiarity with Docker and Flask
- Proficiency in TensorFlow and Keras
- Experience with GCP Vertex AI, Vertex Pipelines, MLOps, Cloud Functions, BigQuery, Cloud Run, AutoML, DocAI, Gemini, Cloud Build, Artifact Registry, and Vertex AI endpoints
Desired Experience
- Experience in the Banking Financial Service Industries (BFSI) and/or B2C applications
- Knowledge of model and data explainability, bias mitigation, and best practices in highly regulated industries
- Hands-on experience with hyperparameter tuning and related best practices/tools
- Experience with reinforcement learning, with or without human feedback, for continuous model fine-tuning
- Familiarity with LLM frameworks like Langchain and LlamaIndex
Additional Qualifications (Good to Have)
- GCP Google Certified Professional Machine Learning Engineer certification
- Advanced Certificate in Generative AI
- Strong background in statistics and probability
- Machine Learning / Data Science certifications or advanced coursework
- Knowledge of the BFSI and NBFC ecosystem
The ideal candidate will have a strong foundation in either Machine Learning or Generative AI, with the ability to contribute across both domains. We welcome applicants who excel in one area and are eager to expand their skills in the other, fostering a collaborative environment that bridges traditional ML and cutting-edge GenAI technologies.
Location
- Mumbai, Pune, or Bengaluru
