ML Engineer

ESSENTIAL EXPERIENCE AND QUALIFICATIONS:

• 4+ years hands-on Machine Learning, CI/CD, and MLOps 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.