Job Description
Primary Responsibilities
- Drive end-to-end ML and DL projects
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications
- Bachelor’s Degree
- 7+ years of experience
- Knowledge of Large Language Models (LLMs) for text and conversational applications
- Familiarity with data cleaning, feature engineering, and model evaluation best practices
- Skills in:
- Gen AI
- LLM
- RAG
- Python
- SQL
- Machine learning
- Proficiency in Python, including libraries like pandas, NumPy, and scikit-learn
- Proven ability to build, train, and optimize machine learning models for production
- Proven excellent analytical thinking and communication skills for cross-functional collaboration
Preferred Qualifications
- Hands-on experience with deep learning frameworks (TensorFlow/PyTorch)
- Experience using cloud platforms (AWS/GCP/Azure) for scalable deployments
- Exposure to Retrieval-Augmented Generation (RAG) methodologies and AI Agents