Dirección 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 a Sr. Machine Learning & DevOps Engineer supporting the Mexico IT R&D team in Mexico. In this role, a typical day will include:
- Combining big data and machine learning (ML) to automate IT operations processes, including event correlation, anomaly detection, and causality determination; conducting audits of data processing and ML systems to ensure accuracy and compliance with company policies
- Researching new ways to improve the performance of machine learning models.
- Working with other teams in the company to develop and implement new AI-based systems; identifying and solving problems with existing AI models.
- Implementing and validating predictive models and creating and maintaining statistical models with a focus on big data; implementing best in class Python scripts that facilitate advanced machine learning applications.
- Manage Deployments in Domino Data Lab and SageMaker; must interface directly with Domino through APIs with python, using SageMaker for managing deployments
- Use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights when Data Science team needs additional support
- Adhere to Change management and Release management while doing the releases
WHAT YOU’LL BRING TO ALCON:
- 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
- Work hours: 40 hours Hybrid
- Travel: up tp 5% Intl.
- Relocation: Yes
- Sponsorship Assistance: Yes
Preferred Experience:
- Experience with Amazon Web Services and similar platforms
- Ability to balance between Operational work and Engineering work with agility
- Proven working experience in a DevOps/SRE culture with observability & monitoring
- Experience with the following skillsets/technologies a plus:
- Automation - CI/CD pipelines using Terraform/Ansible/Jenkins/Artifactory/CloudFormation/CDK
- Containers - Docker/Kubernetes, ECS/EKS/ECR, Helm Charts
- Serverless - AWS S3, DynamoDB, EFS, Fargate, EFS, Amplify, Cognito, CloudFront, etc.,
- Programming - Python or Java, Springboot or Micronaut Frameworks, CLI/SDK/CDK with multiple IDE's
- Extensive knowledge of Git Version Control with branching strategies
HOW YOU CAN THRIVE:
- Collaborate with teammates to share standard processes and findings as work evolves
- See your career like never before with focused growth and development opportunities
- 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 for exempt associates.
ATTENTION: Current Alcon Employee/Contingent Worker
If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.
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Alcon is an Equal Opportunity Employer and 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.
