AI/ML Engineer

• Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
• Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Usecase derivation and solution creation from structured/unstructured data
• Storytelling, Business Communication and Documentation
• Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras
• Exploratory Data Analysis
• Machine Learning and Deep Learning Algorithms
• Model building, Hyperparameter tuning, and Model performance metrics
• MLOps, Data Pipeline, Data engineering
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
• ML services from Clouds such as AWS, GCP, Azure and Databricks

• Optional

  - Databricks, Big Data -Basic knowledge of Spark, Hive

Roles & Responsibilities

Acquire skills required for building Machine learning models and deploy them for production.

Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills

Develop Cloud based applictions including LLM/GenAI and deploy them into production.