Senior Artificial Intelligence Scientist
3 weeks ago
About the Company :
L&T Finance is a leading non-banking financial company (NBFC) in India and part of the prestigious Larsen & Toubro (L&T) Group.
Established in 1994, it has grown into a diversified financial services provider offering a range of solutions such as retail and corporate finance, housing finance, asset management, and wealth management.
With a strong focus on technology and innovation, L&T Finance leverages cutting-edge solutions to enhance financial products, improve customer experiences, and drive sustainable growth in the dynamic Indian financial sector.
About the Team :
Our advanced predictive and generative AI team operates from Bangalore and Mumbai.
Composed of skilled data scientists and ML engineers with proven expertise, we focus on deploying cutting-edge AI technologies to optimize and grow L&T Finance's lending businesses.
Role Overview :
- We are seeking a skilled Senior AI Scientist to design, develop, and implement machine learning and generative AI solutions.
- The role offers flexibility for candidates to specialize in one domain while contributing to a range of impactful projects across machine learning and generative AI.
- This role requires 100% individual contribution.
Location :
- Mumbai, Pune, Bangalore
Key Responsibilities :
- Develop and deploy end-to-end machine learning and generative AI 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.
Skills and Qualifications Required :
Education :
- 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).
- Strong 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 (Preferred) :
- Google Certified Professional Machine Learning Engineer.
- Advanced Certificate in Generative AI.
- Certifications in Machine Learning/Data Science or related fields.
Key Technologies and Platforms :
- Python, Scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy.
- GCP Vertex AI Suite, BigQuery, Cloud Functions, Cloud Run.
- NLP libraries, Computer Vision libraries (e.g , OpenCV).
- Langchain, LlamaIndex for LLM applications
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