Machine Learning Engineer

Location: Bengaluru

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, Tensor Flow, 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.