AI/ML Lead

Duration: Full Time

Technical/Functional Skills :

• Entity Recognition
• Text Classification
• Topic Modelling

Roles & Responsibilities:

Traditional AI

• 4+ Years experience in implementing ML solutions in the area of Time Series Modelling, Natural Language Processing, Computer Vision etc.
• Understanding of different supervised and unsupervised learning algorithms - Random Forest, Boosted Trees, Linear Regression, SVM etc.
• NLP Techniques
• Entity Recognition
• Text Classification
• Topic Modelling
• Time Series Modelling
• Anomaly Detection
• Forecasting
• Good Problem-Solving abilities and proficiency in Statistical Concepts
• Problem Solving and Statistical Concepts
• Good understanding of MLOps Architectures and Components
• Concepts of Data Engineering and Data Management including Data Lake architectures
• Log Management in Splunk
• Generative AI
• Understanding of Generative AI and GPTs
• Good Understanding of LLM concepts (RAG, Prompting, Few Shot Prompting, SFT etc.)
• Experience in designing and building RAG Implementations
• Exposure evaluating Open source LLM Models
• Experience implementing solutions leveraging LLMs.

ML Frameworks

• Scikit Learn, Pytorch/TensorFlow/Keras/RASA/LangChain

Cloud/DevOps

• Git, CI/CD/Docker/Kubernetes
• AWS/GCP

Programming Language - Python

SKILLS

• Scikit Learn, Pytorch, TensorFlow, Keras, RASA, LangChain, Git, CI/CD, Docker, Kubernetes, AWS, GCP, Python, MLOps, NLP, Generative AI, LLM.