Senior DevOps Engineer

hace 4 semanas


Mexico City MX19 Alcon Laboratorios S.A. De C.V. Company A tiempo completo

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.


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