What are the responsibilities and job description for the Sr ML Ops Engineer position at Citizens Bank?
Job Details
Job Description
Description
The Enterprise Data & Analytics and Enterprise Data Platforms team is looking for a Senior ML Operations Engineer specialized in operationalizing ML pipelines on AI/ML platforms like AWS Sagemaker, H2O.ai.
As a Senior ML Operations Engineer you will be responsible for building ML Ops processes, standards using code boiler plates and model inferencing frameworks for the ML pipelines (including data/feature pipelines) to be operationalized on enterprise AI Platforms along with creating automation to reduce time to market for delivering ML use cases by identifying data pipeline, model pipeline and model consumption patterns. You will be collaborating with stake holders across the organization to operationalize ML pipelines and integration with business application.
Responsibilities:
Key Requirements:
Education & Certifications:
Hours & Work Schedule
Pay Transparency
The salary range for this position is $140,000 - $ 175,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit ;br>
#LI-Citizens1
About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens), provides equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability, or history or record of a disability, ethnicity, gender, gender identity or expression, transgendered and transitioning individuals, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family statparenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens we are committed to fostering an inclusive culture that enables colleagues to bring their best selves to work every day and where all are expected to be treated with respect and professionalism. Employment decisions are based solely on experience, performance, and ability. We perform our best so we can do more for our customers, colleagues, communities and shareholders.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
Description
The Enterprise Data & Analytics and Enterprise Data Platforms team is looking for a Senior ML Operations Engineer specialized in operationalizing ML pipelines on AI/ML platforms like AWS Sagemaker, H2O.ai.
As a Senior ML Operations Engineer you will be responsible for building ML Ops processes, standards using code boiler plates and model inferencing frameworks for the ML pipelines (including data/feature pipelines) to be operationalized on enterprise AI Platforms along with creating automation to reduce time to market for delivering ML use cases by identifying data pipeline, model pipeline and model consumption patterns. You will be collaborating with stake holders across the organization to operationalize ML pipelines and integration with business application.
Responsibilities:
- Develop platform capabilities and frameworks to standardize and automate deployment of ML models and ML pipelines.
- Collaborate with stake holders such as data scientists, data engineers, application engineers to deploy and monitor ML pipelines and models.
- Solution design ML model and ML pipeline delivery for use cases using platform capabilities on AWS Sagemaker and H2O.ai
- Develop CI/CD pipelines for continuous integration and delivery of ML models.
- Identify ML Pipeline and ML model deployment patterns to automate and streamline ML workflows and processes.
- Troubleshoot and resolve issues related to ML model deployment and performance.
Key Requirements:
- 5 years of python experience for scripting ML workflows
- 3 years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models
- 2 years of development of apis using Flask, Django, FastAPI
- 1 year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow.
- Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring
- Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus
- Experience with ETL process for ML pipelines with Spark, Kafka.
- Good to have experience in H2O.ai
- Good to have experience in containerization using Docker and Orchestration using Kubernetes.
Education & Certifications:
- Bachelor's Degree or equivalent combination of education, training, and experience required, along with a high technical competency to perform the needed responsibilities.
Hours & Work Schedule
- Hours per Week: 40
- Work Schedule: Monday-Friday
Pay Transparency
The salary range for this position is $140,000 - $ 175,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit ;br>
#LI-Citizens1
About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens), provides equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability, or history or record of a disability, ethnicity, gender, gender identity or expression, transgendered and transitioning individuals, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family statparenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens we are committed to fostering an inclusive culture that enables colleagues to bring their best selves to work every day and where all are expected to be treated with respect and professionalism. Employment decisions are based solely on experience, performance, and ability. We perform our best so we can do more for our customers, colleagues, communities and shareholders.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $140,000 - $175,000
