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2 weeks ago
About Us
L&T Finance is a leading player in the Indian non-banking financial sector, providing a wide range of financial solutions to customers. Our company is known for its innovative approach to finance, leveraging technology to enhance customer experience and drive business growth.
We operate a team of experienced data scientists and machine learning engineers who specialize in developing cutting-edge AI solutions. Our goal is to optimize and grow L&T Finance's lending businesses by deploying AI technologies.
Job Description
- Develop and implement machine learning and generative AI solutions to enhance financial products and customer experiences.
- Design and deploy end-to-end workflows using GCP Vertex AI and other platforms.
- Retrieve and preprocess data from BigQuery and various sources for model development.
- Build models using Python and frameworks like Scikit-learn, TensorFlow, Keras, XGBoost, and CatBoost.
- Implement diverse ML algorithms, including regression, classification, forecasting, NLP, and unsupervised learning.
- Design computer vision solutions, including preprocessing image and video data.
- Fine-tune and deploy large language models (LLMs) and foundation models for specific tasks.
- Leverage advanced AI technologies like Retrieval-Augmented Generation (RAG) and function calling.
- Develop evaluation metrics to measure ML/LLM performance.
- Apply CI/CD and MLOps best practices for deploying and automating ML pipelines.
- Stay abreast of advancements in ML, GenAI, and AI/ML-related technologies.
Required Skills and Qualifications
- Educational background: BS/BTech or MS/MTech from a Tier 1 institution.
- Experience: 4-9 years in Machine Learning and/or Generative AI (open to exceptional candidates with varying experience).
- Proficiency in Python.
- Expertise in Data Science, Machine Learning, NLP, and Deep Learning.
- Familiarity with frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, and XGBoost/CatBoost.
- Hands-on experience with GCP Vertex AI, BigQuery, MLOps tools, Docker, and Flask.
- Proficiency in handling structured and unstructured data for feature engineering.
Desired Skills
- Experience in BFSI or B2C applications.
- Knowledge of data explainability and bias mitigation in regulated industries.
- Familiarity with reinforcement learning and LLM frameworks like Langchain and LlamaIndex.
- Expertise in computer vision libraries like OpenCV.
- Strong statistical and probability background.
Additional Certifications
- Google Certified Professional Machine Learning Engineer.
- Advanced Certificate in Generative AI.
- Certifications in Machine Learning/Data Science or related fields.
Key Technologies and Platforms
