We're Hiring a MLOps Engineer!
If you are excited and passionate about helping #LetsSolveWater, consider joining our team today! Xylem, Inc. is a leading global water technology company servicing more than 150 countries and is dedicated to solving the world's most challenging water issues. We are looking for individuals to join our mission by exceeding customer expectations through smart sustainable solutions. At Xylem, you will have the opportunity to solve water by participating in our paid Volunteer Program, Xylem Watermark !
The Role:
Xylem's Decision Intelligence business unit is seeking candidates with a background in Computer Science or Data Science and relevant practical experience developing software products to join our team as an MLOps Engineer in North America. As a Data Science team member, the incumbent will design, develop, and test software products for water systems to integrate with data services and support Digital Intelligence solutions and technologies. The successful candidate will demonstrate the ability to develop scalable, performant software products that provide clear value to the water industry. The ideal candidate will clearly understand the data science product lifecycle and delivery of production services. Candidates who also have valuable experience in the water analytics space are especially encouraged to apply, including water infrastructure systems. The Xylem data science team is deeply involved in developing online predictive models and digital twins of water/wastewater treatment processes and water distribution and collection systems, using various numerical analysis and optimization algorithms and AI/machine learning models; the successful candidate will demonstrate a clear ability to contribute to and lead, these ongoing and related new product development efforts.
Essential Duties/Principal Responsibilities:
Develop and maintain automated machine learning pipelines, streamlining the model lifecycle from training and validation to deployment.
Configure data science products for deployment within the AWS or Azure ecosystem, and set up MLOps technologies for sub-routine tasks, such as model deployment and retraining.
Utilize containerization (e.g., Docker) and orchestration (e.g., Kubernetes) to ensure efficient model deployment and management.
Apply software engineering best practices, including CI/CD and automation, to machine learning.
Contribute to the development of REST APIs in Django for efficient model integration into production applications.
Create technical documentation to support software product development using formats like OpenAPI, Markdown, and LaTex.
Implement best practices for data science, including code development, model training, and validation/testing using MLOps.
Collaborate closely with data scientists to ensure reliable, scalable, secure, and consistent model deployment.
Build unit tests to ensure the accuracy and robustness of all model components.
Demonstrate a strong sense of ownership to complete all product deliverables.
Minimum Qualifications: Education, Experience, Skills, Abilities, License/Certification:
Bachelor's degree in computer science or software engineering
A background of at least 2 years in relevant applied work experience
Strong programming skills in languages such as Python
Familiar with relevant machine learning and scientific libraries (e.g., TensorFlow, Pytorch, scikit-learn, pandas)
Strong understanding of Docker and container orchestration systems like Kubernetes or ECS
Understands the ins and outs of relational databases, including schema design
Ability to design and implement cloud solutions (AWS, MS Azure or GCP)
Strong understanding of Rest APIs with experience in a framework like Django, Flask, or FastAPI
Understanding of software development principles and practices, including version control (e.g., Git) and software testing
Proficient with CI/CD, including tools like Bitbucket Pipelines or Github Actions
Possesses advanced critical thinking skills, enabling objective evaluation and selection of diverse tools, platforms, and technologies to construct an efficient and dependable MLOps tech stack
Ability to harness collective expertise and foster a cooperative spirit among team members
Has an always growing mindset
Fluent in English, with excellent communication skills
Preferred Qualifications:
Proven experience in the end-to-end lifecycle management of machine learning models, encompassing model development, testing, deployment, monitoring, and continuous improvement
Experience with MLOps tools and frameworks like Kubeflow, MLFlow, Sagemaker, Airflow etc.
Experience with Django and its ecosystem
Proficiency in IaC Tools, such as Terraform, CloudFormation, Ansible, or similar
SALARY: The estimated salary range for this position is $115,000 - $130,000 plus bonus. Starting pay is dependent on multiple factors, such as skills, experience and work location, and is not typically at the top of the range. At Xylem we offer a competitive compensation package with a generous benefit package, including Medical, Dental, Vision plans, 401(k) with company contribution, paid time off, paid parental leave and tuition reimbursement.
At Xylem, we embrace diversity and strive to create avenues where employees feel valued and appreciated through our DE&I initiatives and Employee Resources Groups (ERG). Xylem is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Xylem prohibits discrimination, harassment of any kind and does not discriminate in employment on the basis of race, color, religion, sex or sexual orientation (including pregnancy and gender identity), national origin, political affiliation, marital status, medical conditions or disability, genetic information, age, or other non-merit factors.
Join the global Xylem team today! Xylem is a team creating advanced technology solutions to the world's water challenges through developing new technologies and services that will improve the way water is used, conserved, and re-used in the future is central to our work. Our products and services move, treat, analyze, monitor, and return water to the environment, in public utility, industrial, residential, and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced analytics solutions for water, electric and gas utilities.
Disclaimer: The information listed within this job description is designed to indicate the general nature of work expected for this position and shall not be viewed as a comprehensive inventory of all duties, responsibilities, and qualifications required in this position. Employees must be able to perform the essential functions of the position satisfactorily and if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job absent undue hardship. Xylem reserves the right to modify this job description or assign other duties to this position as needed.
