Data science | Machine Learning- (Onsite)

Career Opportunity:
Job Title: Data science | Machine Learning- (Onsite)

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

Data science | Machine Learning- (Onsite)

Requirements:

• Minimum of 6+ years of experience.
• The role is for Big Data Engineer with MLP Ops SRE expertise with 7+ years of role experience
• A solid understanding of AI/ML, Jupiter Notebook, and Jenkins is essential for this role.
• The associate should also have a basic understanding of Kubernetes (K8s) and experience with Kubeflow for MLOps.
• Person will be responsible for end-to-end machine learning lifecycle on our in-house Kubernetes (K8s) cluster
• Ensuring the stability and availability of production services is a key responsibility.
• Handle incident resolution when they occur.
• Maintain a culture of continuous learning and improvement in the incident resolution process.
• The role involves developing best practices for operations.
• The individual will be expected to create and maintain documentation as needed.
• Associate need to work as per roaster which may include weekend support.
• This role includes on-call duties to handle any urgent issues that occur outside of regular business hours.
• Associate need to work with team member across different geographical location.
• The role involves close collaboration with multiple teams to jointly resolve any major production issues.

Must Have Skills:

• Machine Learning Operations
• Kubernetes (K8s) for MLP Ops
• AI/ML, Jupiter Notebook, and Jenkins

Minimum Years of Experience: 8-10 years

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

• Support, Analyze
• Solution implementation
• Testing

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.