MLOps Engineer

About Us

Korn Ferry is a global organizational consulting firm. We help clients synchronize strategy and talent to drive superior performance. Korn Ferry works with organizations to design their structures, roles, and responsibilities. We help them hire the right people to bring their strategy to life. And we advise them on how to reward, develop, and motivate their people. Our 10,000 colleagues serve clients in more than 50 countries.

Korn Ferry Digital Is a Scaled Product Business Unit Within Korn Ferry That Develops And Sells Our Suite Of Talent Products And HR Technology, Supporting Clients Across Six Solution Areas

• Organizational Strategy
• Assessment and Succession
• Talent Acquisition
• Leadership and Professional Development
• Sales and Service
• Total Rewards
  
  

Our comprehensive talent suite leverages a combination of proprietary talent IP, talent data, analytics and insights to help customers understand their workforce and existing talent gaps, and deliver targeted talent interventions at scale using HR technology.

Job Description

OPPORTUNITY TO ENHANCE YOUR CAREER - It’s about exceeding your potential.

The Software Developer is responsible for the enhancement and maintenance of software applications. These responsibilities include assisting with requirements gathering, coding, testing, and installing applications. This position will work with project management to ensure that project deadlines are met and that the work meets user requirements.

Key Responsibilities

• Strong proficiency in Python or another programming language commonly used in data science.
• Design and implement CI/CD pipelines tailored for ML applications and data pipelines.
• In-depth knowledge of cloud platforms such as AWS, Azure, and experience with the services and experience in developing and managing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or ARM templates.
• Develop and manage containerized applications using Kubernetes, with experience in platforms like Azure, AWS, or OpenShift
• Monitor model performance and health, setting up alerting and automated responses for incidents using frameworks like MLFlow, Kubeflow etc.
• Implementing model and data versioning, drift analysis, continuous monitoring and rollbacks using Databricks-MLFlow or any other similar tools.
• Strong problem-solving and troubleshooting skills, with the ability to identify and resolve infrastructure and performance issues.
• Experience with version control systems, such as Git, and knowledge of CI/CD practices using GitOps tools.
• Strong scripting experience using bash, shell or python.
  
  

Core Responsibilities

• Collaborate with data scientists, API engineers, and other stakeholders to understand requirements and ensure the availability, reliability, and seamless deployment of ML applications in production environments.
• Develop and implement model monitoring and observability solutions to track model performance, detect drift, and ensure models meet accuracy and performance benchmarks in production.
• Optimize and tune the performance of infrastructure and deployment workflows to ensure efficient scaling and high availability in production systems.
• Troubleshoot and resolve issues related to infrastructure, deployment pipelines, and cloud services.
• Continuously evaluate and recommend new tools, technologies, and frameworks to improve the efficiency and effectiveness of DevOps/MLOps processes.
  
  

Internal Mobility at Korn Ferry

If you currently work for Korn Ferry or one of our affiliates, you must be eligible to apply for a different position within Korn Ferry to use the Careers Site. If you accept such a position, your benefits programs and Human Resources policies may change. Please consult with your HR contact for the new position concerning application eligibility, including any immigration/visa needs, benefit programs, and HR policies applicable to that position.

Korn Ferry is an Equal Employment Opportunity/Affirmative

Action Employer - Minority/Female/Disability/ Veteran

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status or any other characteristic protected by federal, state, or local law.