Expert Machine Learning Engineer

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers.

We foster an inclusive culture and are looking for diverse, talented people to join Alcon. As an Expert Machine Learning Engineer supporting Research and Development, you will be trusted to design, develop and operationalize machine learning systems to augment its digital product portfolio with AI/ML enabled technology. In this role, a typical day will include:

• Design and implement scalable Machine Learning systems with strong knowledge on Machine Learning Life Cycle and Phases
• Hands On experience to Implement a variety of ML algorithms across different tooling on AWS and build end-end pipelines in AWS SageMaker and/or Domino Platform
• Collaborate with Data Scientists and other stakeholders to determine the requirements and ideal implementation strategy for these algorithms.
• Collaborate with DevOps engineers, Data engineers to build scalable ML Pipelines
• Leverage and connect to data platforms for algorithm training on the cloud, as well as retraining models upon data triggers
• Build monitoring and logging tools to observe model performance and trigger retraining upon model degradation or data drift.
• Architect ML Pipelines adhere to MLOps cluster hosting requirements to efficiently handle scalable model end points in Production.
• Extend and customize existing ML libraries and frameworks and execute on Alcon’s custom ML Platform to support, as required, R&D portfolio projects

What you'll bring to Alcon:

Key Requirements/Minimum Qualifications:

• Bachelor’s Degree or Equivalent years of directly related experience (or high school +13 yrs;Assoc.+9 yrs; M.S.+2 yrs; PhD+0 yrs)
• The ability to fluently read, write, understand, and communicate in English.
• 5 Years of Relevant Experience

Preferred Requirements:

• Familiarity with machine learning frameworks (e.g PyTorch/Tensorflow/Keras) and libraries (e.g., SKLearn/XGBoost) and integrating them into Cloud-based ML applications
• Familiarity with AWS stack such as Sagemaker suite, ECS, EKS, CodeCommit, CodePipeline, CodeDeploy, EC2, S3, AWSCLI, Lambda and Glue preferred
• Strong knowledge on Design patterns, experience in Event driven architecture, microservices and container orchestration tools such as Docker, Kubernetes
• Familiarity with Infrastructure-as-Code (Terraform/CloudFormation), Model Training, Model Deployment, Model Registry, CI/CD, Model Monitoring tools is a plus. (Kubeflow, MLFlow, Seldon Core, KServe, Airflow, Jenkins etc)

HOW YOU CAN THRIVE AT ALCON:

• Benefit from working in a highly collaborative environment.
• Join Alcon’s mission to provide outstanding, innovative products and solutions to improve sight, improve lives, and grow your career!
• Alcon provides robust benefits package including health, life, retirement, flexible time off, and much more!
• Travel Requirements: up to 5%
• Relocation assistance: Yes
• Sponsorship available: Yes

  

Total Rewards

Alcon’s Total Rewards programs are designed to align to incentives with business goals, encourage the right values and behaviors, and deliver long-term value.  The first layer of our rewards program is compensation.  We offer a combination of fixed pay and variable pay, which includes short-term incentives, and long-term incentives for eligible population.  Our benefits program provides security for life events through life and disability insurance, supports savings for retirement, promotes good health and well-being and supports associates and their families during times of illness.  To learn more about Alcon’s Corporate Social Responsibility including our Total Rewards, click here

  

Pay Range

$120,160.00 - $180,240.00

  

Pay Frequency

Annual

  

Alcon is an Equal Opportunity Employer and participates in E-Verify. Alcon takes pride in maintaining a diverse environment and our policies are