Technical lead (AWS MLOps)

Career Opportunity:

Job Title: Technical lead (AWS MLOps)

About CodeForce 360

Making a career choice is amongst the most critical choices one can make, and it's important for the choice to be calculated with factors such as a company's run of success since its inception and more. But, when you come across a company that has reputation proven with nothing but an illustrious run of success since the day it began, you don't need to think of anything else. That's precisely what some of our employees and prospective employees think when they came across CodeForce 360.

Position Overview

Technical lead (AWS MLOps)

Requirements:

Mandatory Skills:

• DataIKU MLOps (Primary)
• Data Science
• Machine Learning
• Python
• DatatIKU MLOps certification.

Detailed JD:

• Bachelor's degree in engineering, computer science, mathematics, or related field.
• At least 5 years of extensive experience in Software Engineering (Python) / DevOps/ MLOps framework.
• Prior experience in delivering data-science projects including operationalizing models in DataIKU environment and putting together an MLOPs framework and best practices for the client.
• Extensive experience and understanding of the Dataiku DSS MLOPs capability including automated deploying projects and published jobs into Production.
• Automate deployment and monitoring of ML models that allow various stakeholders to collaborate on ML projects.
• Understand/detect model drift, scoring mechanisms in DataIKU and schedule automated retraining, deployment models in production.
• Understand GIT integration and version control with DataIku and dev-test-prod approach to update multiple production nodes.
• Experience in using core analytics methods, Predictive Modeling, Machine Learning, Simulation, and Optimization.
• Expertise in a variety of machine learning and statistical techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Excellent communication and client facing skills is a must, with good business acumen and hands-on coding experience.
• Experience in working with clients in the Life sciences, healthcare, especially pharma industry experience.
• Understanding of the underlying data systems such as AWS Cloud architectures, PySpark, or SQL is a must.
• DatatIKU MLOps certification.