ML Ops Engineer
4 days ago
Job Description:
WHY CHOOSE US?
As one of the nation's premier humanitarian organizations, the American Red Cross is dedicated to helping people in need throughout the United States and, in association with other Red Cross networks, throughout the world. When you join our team, you have a direct impact on a meaningful mission, and you can help save lives every day. If you share our passion for helping people, join us in this excellent career opportunity. Work where your career is a force for good.
We are committed to the diversity of our workforce and to delivering our programs and services in a culturally competent manner reflecting the communities we serve. Our work environment is collaborative, respectful, and inclusive with a focus on building allyship and a culture of belonging that empowers all team members. Come to learn, grow, and succeed while sharing your passion for making a difference.
The Red Cross supports a variety of cultural and community resource groups for employees and volunteers. From the Ability Network, our Asian American & Pacific Islander Resource Group, Chaverim, our Jewish American Resource Group, VIDA- the Latino Resource Group, and Red Cross PRIDE, to the Umoja African American Resource Group, our Veterans+ Resource Group, and the Women's Resource Group, these networks provide connections, mentoring and help give voice to important concerns and opinions.
At the American Red Cross, your uniqueness can shine
WHAT YOU NEED TO KNOW ABOUT THE JOB:
The Enterprise Data and Analytics (EDA) group supports almost every line of business at the American Red Cross. In the EDA Data Science group, we use this data to create modern, impact-focused data science products.
As an ML Ops Engineer in the EDA Data Sciences group, you'll be responsible for supporting enterprise ML Ops needs within a highly complex data environment. You'll provide business value through developing and supporting production data science workflows, building data pipelines, working with infrastructure teams to determine and implement required cloud-based solutions, and frequent collaboration with business stakeholders. You'll apply specialized technical expertise to execute projects of high complexity, scope, size and/or risk that support business needs across the enterprise. The successful candidate will have a strong background in both data science and data engineering. This position serves as a lead on projects, assists in identifying new business needs, and provides training and guidance to other staff.
The work location for this exciting opportunity is virtual. The selected candidate will work 100% remotely from home and can be located anywhere in the United States with a preference to work East Coast hours.
WHERE YOUR CAREER IS A FORCE FOR GOOD (Key Responsibilities):
* Automate, govern, and monitor production ML pipelines and models within the ARC ML Ops framework and in collaboration with business stakeholders
* Work with data engineers to continually develop, refine, and maintain Red Cross ML Ops tools and procedures
* Deliver solutions for stakeholder data problems
* Develop visualizations and reports for use by business stakeholders
* Develop presentations for education and advancement of other Red Cross Data Science teams and for business stakeholders across the Enterprise
* Provide training and guidance to other staff; lead and contribute expertise to projects
Scope: Individual contributor that works under limited supervision. Apply subject matter knowledge. Capacity to understand specific needs or requirements to apply skills/knowledge.
Qualified candidates must be authorized to work in the United States. The American Red Cross does not sponsor employment visas.
WHAT YOU NEED TO SUCCEED (required/minimum qualifications):
* Education: Bachelor's degree required.
* Experience: Minimum 5 years of related experience or equivalent combination of education and related experience required.
WHAT WILL GIVE YOU A COMPETITIVE EDGE (preferred qualifications):
Comprehensive knowledge of modern data science techniques and tools including supervised and unsupervised approaches, neural networks, clustering algorithms, Bayesian analysis, experimental design frameworks, generative AI, and AI Governance with extensive experience in data engineering and ML Ops principles. Additionally,
* Significant experience with cloud-based ML Ops frameworks, preferably one or more of the following: AWS Sagemaker, Dataiku, and Microsoft Model Ops
* Experience with complex, automated analytics workflows and ML Ops principles related to model governance and production model monitoring
* Broad knowledge of current data science tools and expert-level ability with Python and the Python data science stack
* Proficiency with general database concepts and SQL
* Excellent verbal and written communication skills and the ability to articulate analytical insights/complex findings in a clear and concise manner
* Experience using containers with continuous integration and deployment (CICD) technologies
* Understanding of IT Service Management concepts including Change Management, Incidents and Service Requests
* Experience working in an Agile environment preferred
* Combination of candidate's education and general experience satisfies requirements so long as the total years equate to description's minimum education and general experience years combined (Management experience cannot be substituted).
The American Red Cross is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, San Diego Fair Chance Ordinance, the California Fair Chance Act and any other applicable state and local laws.
AmeriCorps, the federal agency that brings people together through service, and its partners - the Peace Corps, AmeriCorps Alums, National Peace Corps Association, and the Service Year Alliance - launched Employers of National Service to connect national service alumni with opportunities in the workforce.American Red Cross is proud to be an EONS partner and share our employment opportunities with the network of organizations.
Interested in Volunteering? Visit redcross.org/volunteertoday to learn more, including our most-needed volunteer positions.
To view the EEOC Summary of Rights, click here: Summary of Rights
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