Expert MLOps Engineer
Job Description
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 MLOps 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 Data Lab 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.
- Build well-architected 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., ScikitLearn/XGBoost) and integrating them into Cloud-based ML applications.
- Experience with AWS Services such as Sagemaker suite, AWS Step Functions, Cognito, EC2 with Deep Learning AMIs, S3, AWSCLI, Lambda, API Gateway, Athena, DynamoDB and Glue
- Strong knowledge on Design patterns, experience in Event driven architecture, microservices and container orchestration tools such as Docker, Kubernetes, ECS/EKS
- Familiarity with Infrastructure-as-Code (Terraform/CloudFormation), Model Training, Model Deployment, Model Registry, CI/CD, Model Monitoring tools is a plus. (Kubeflow, MLFlow, KServe, Airflow, Jenkins etc)
- Experience in deploying, observability and monitoring Machine Learning Models in Production
- Hands experience in using Git Version Control, CLI/ SDK, boto3, Notebooks, VS Code and familiarity in Python/Java
- AWS Certified Machine Learning or an equivalent certification is a plus
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 not to discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to [email protected] and let us know the nature of your request and your contact information.
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Date Posted
12/14/2023
Views
21
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