Machine Learning Engineer

Job Description:

• Hands-on experience working with SAS to Python conversions.
• Strong mathematics and statistics skills.
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Use case derivation and solution creation from structured/unstructured data
• Storytelling, Business Communication, and Documentation
• Programming Skills SAS, 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:

• Responsible for SAS to python code conversion.
• 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 unstructured data sets. skills
• Develop and deploy cloud-based applications, including LLM/GenAI, into production.