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 Chat GPT, 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, Tensor Flow, Py Torch, 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:...