ML Engineer

# 4+ years hands-on Machine Learning, CI/CD, and MLOps and LLMOps experience (must have productionized models).
# 4+years of experience in building hands-on ML models
# 3+ years of implementation experience as a customer facing consultant
# Familiar with content in: Apache Spark Programming, Scalable Machine Learning ,Machine Learning in Production.
# Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.
# Excellent programming skills in Python, and PySpark. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
# Advanced SQL skills with SQL Server and Spark experience.
# Experience with distributed computing frameworks (e.g. Hadoop, Spark), is a plus.
# Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
# Experience using Kubernetes or similar orchestration systems
# Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment
# Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
Experience with cloud platforms such as Azure, AWS is preferred but not required