Senior MLOps Engineer
Senior MLOps Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a skilled MLOps Engineer with expertise in MLOps or DevOps Google Cloud Platform (GCP) SQL databases and Kubernetes to join our team. Responsibilities include automation documentation and collaboration with Data Science and Data & Analytics teams for seamless integration of ML workflows. Join us to drive innovation and operational excellence as we navigate the cutting edge.
Enjoy remote work with the option to engage at our Deerfield office. This role offers career growth and leadership opportunities.
RESPONSIBLIITIES:
What you will be doing
DevOps and CI/CD:
- Collaborate with Data Science team to integrate ML workflows into new our ML orchestration platform Union.ai (or the opensource project Flyte)
- Integrate our ML and AI models and products in our consumerfacing IoT products and internal business analytics to scale
- Ensure smooth integration of ML models into production environments
- Establish observability tools and practices to monitor deployment process and system health and performance
Software Development
- Utilize Git for version control and collaboration on codebase
- Lead the development and migration our existing infrastructure and codebase to the new ML orchestration platform
- Maintain our Python code for our ML and data pipelines
- Document procedures configurations and best practices to ensure knowledge sharing and repeatability of processes
GCP and Kubernetes:
- Monitor and maintain our Kubernetes infrastructure for optimal performance and reliability
- Manage database maintenance tasks and ensure data integrity within Snowflake
- Implement node pool autoscaling to dynamically adjust resources based on workload demands
- Administer cloud storage solutions and ensure data availability and durability
Join us in this exciting role to shape the future of our data integration initiatives improve processes and drive impactful results. Your expertise will contribute to the success of our growing Data and Analytics organization.
Qualifications :
BASIC QUALIFICATIONS:
- Technical Expertise
- 4 years of experience in MLOps or DevOps
- Highly proficient in writing clean robust Python code using coding best practices
- 3 years of handson experience in cloud computing eg. GCP
- 3 years of handson experience in Kubernetes and containers with track record in deployment of jobs at scale to production
- Good expertise in SQL database preferably in PostgreSQL database and Snowflake data warehouse
- Intermediate to advance knowledge of data pipeline or ML orchestration. Big plus: any experience or willingness to learn Union.ai (or Flyte)
- Track record of implementing monitoring and observability solution eg. Datadog
- Leadership Skills
- Excellent communication skills for discussing complex technical with engineers and the ability of translating technical concepts to nontechnical stakeholders
- Proven ability to decompose complex technical challenges and produce a pragmatic solution
- The ability to adapt and balance delivery attention to detail with constraints and pragmatism
- Nice to have
- Great sense of humor
Additional Information :
Additional Information:
Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $125000 USD $160000 USD. Please note that actual salaries may vary within the range or be above or below the range based on factors including but not limited to education training experience professional achievement business need and location. In addition to base salary employees will participate in either an annual bonus plan based on company and individual performance or a rolebased sales incentive plan.
At Fortune Brands Innovations we support the overall health and wellness of our associates by offering comprehensive competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates unique needs. This includes robust health plans a marketleading 401(k) program with a company contribution product discounts flexible time off benefits (including halfday summer Fridays per policy) inclusive fertility / adoption benefits and more. We offer numerous ERGs (Employee Resource Groups) to support inclusivity and our associates feeling of belonging at work.
Fortune Brands Innovation (FBIN) is built on industryleading brands and innovation within our operating segments: water outdoors and security. We have an impressive track record of strong financial results market outperformance and growth which translates into career and professional growth opportunities for associates. Please visit our website at fbin.com to learn more.
Equal Employment Opportunity
FBIN is an equal opportunity employer. FBIN evaluates qualified applicants without regard to race color religion sex gender identity or expression national origin ancestry age disability/handicap status marital status protected veteran status sexual orientation genetic history or information or any other legally protected characteristic.
We are committed to a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. To support our efforts we invite you to voluntarily share your gender ethnicity and veteran status. This information is confidential and helps us ensure an inclusive hiring process and improve our diversity initiatives.
Reasonable Accommodations
FBIN is committed to working with and providing reasonable accommodations to individuals with disabilities. If because of a medical condition or disability you need a reasonable accommodation for any part of the application or interview process please contact us at and let us know the nature of your request along with your contact information.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
