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Senior MLOps Engineer

Company Overview

Promise empowers utilities and government agencies to create flexible, affordable solutions for individuals struggling with debt. Our innovative approach to payment plans and relief distribution significantly improves enrollment and recovery rates, helping individuals clear debts faster and reducing delinquencies for our partners.

We treat people facing financial difficulties with respect and dignity, providing the tools and resources they need to thrive. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders.

Backed by over $50 million in funding from top investors such as 8VC, Kapor Capital, XYZ Ventures, and Howard Schultz, we've been recognized as one of Fast Company's "World's Most Innovative Companies of 2022."

Role Overview

As an MLOps Engineer at Promise, you'll be at the forefront of integrating artificial intelligence and machine learning into our mission of transforming the way individuals facing financial difficulty receive and interact with essential public services. Your primary responsibility will be to design, develop, test, and manage end-to-end generative AI and large language model (LLM) applications and services for both internal and external products. This will include creating and managing complex AI systems, integrating LLMs, real-time systems, APIs, and agentic workflows in a robust, scalable, and powerful manner. Your expertise in AI technologies will drive innovation, efficiency, and automation across our platform.

Join us in a dynamic, growth-oriented environment where your work will directly impact people's lives and shape the future of government services. This is an exceptional opportunity to be a key player in leveraging AI to enhance our product offerings and drive positive social impact.

What Will Enable You

  • A minimum of 7 years of professional software development experience.

  • Passionate drive for our mission and relentless pursuit of customer success.

  • Intolerance for mediocrity and high commitment to doing everything necessary to achieve your goals.

  • High moral and ethical standards, seeking open and honest communication, and rejecting manipulation, dishonesty, and intolerance.

  • Demonstrated dedication and commitment to our customers, shareholders, employees, and local communities.

  • Experience with Python, especially for asynchronous applications.

  • Expertise with LLMOps, general MLOps, or other closely related AI specializations, especially experience with testing and maintaining production LLM applications and with self-hosting ML models.

  • Experience with cloud infrastructure (Terraform, Pulumi).

  • Experience with scalable, containerized solutions (Kubernetes, GKE, ECS, Docker).

  • Strong proficiency in systems architecture.

Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws.

Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

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Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior MLOps Engineer, Promise

As a Senior MLOps Engineer at Promise, located in the vibrant city of Washington, you'll play a pivotal role in harnessing the power of AI to positively impact the lives of individuals facing financial difficulties. Working alongside a talented team comprised of experts from renowned companies like Palantir, Google, and Stripe, you'll be responsible for designing, developing, testing, and managing cutting-edge generative AI and large language model (LLM) applications. At Promise, our mission revolves around creating innovative, flexible solutions for utility and government agencies to help people clear their debts, and your expertise will be critical in driving this transformation. You'll be immersed in creating complex AI systems, integrating LLMs, and building robust APIs, ensuring scalability and efficiency across all our platforms. Our work environment is dynamic and growth-oriented, encouraging you to innovate and apply your knowledge in AI technologies to enhance not just our product offerings, but also the collective well-being of communities. This is more than just a job; it's an opportunity to contribute significantly to social impact, while upholding high standards of ethics and open communication. If you're ready to take on this challenge and help shape the future of government services, join us at Promise and be part of our journey to make a difference!

Frequently Asked Questions (FAQs) for Senior MLOps Engineer Role at Promise
What are the responsibilities of a Senior MLOps Engineer at Promise?

As a Senior MLOps Engineer at Promise, your key responsibilities include designing and developing end-to-end generative AI and large language model applications. You will also manage complex AI systems, integrate real-time systems, and work with APIs to create scalable solutions. Your role will drive innovation in how we serve individuals needing financial assistance, making a substantial impact on our services.

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What qualifications are needed for a Senior MLOps Engineer position at Promise?

To qualify for the Senior MLOps Engineer position at Promise, candidates should have a minimum of 7 years of professional software development experience, particularly with Python for asynchronous applications. Familiarity with LLMOps or related AI specializations, experience in cloud infrastructure (like Terraform or Pulumi), and skills with containerized solutions (such as Kubernetes or Docker) are essential for success in this role.

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What is the work culture like for a Senior MLOps Engineer at Promise?

At Promise, the work culture is marked by a commitment to ethics, open communication, and a passion for innovating solutions that make a real difference. As a Senior MLOps Engineer, you'll work in a growth-centered environment that values dedication to client success, encourages creative thinking, and promotes diversity and inclusion within the team.

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How does Promise support employees with diverse backgrounds in the Senior MLOps Engineer role?

Promise is dedicated to promoting diversity and inclusion in the workplace. As a Senior MLOps Engineer, you will find a supportive environment that respects various backgrounds and encourages all employees to thrive. We provide accommodations in line with applicable laws to ensure everyone can perform at their best, reinforcing our commitment to a diverse workforce.

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What impact can a Senior MLOps Engineer have on community services at Promise?

In the role of Senior MLOps Engineer at Promise, you're positioned to significantly shape community services by developing AI technologies that streamline public service interactions for individuals in financial distress. Your work will enable the implementation of innovative solutions that result in better financial management and support, ultimately fostering greater societal well-being.

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Common Interview Questions for Senior MLOps Engineer
Can you explain your experience with large language models as it relates to the Senior MLOps Engineer role?

In your response, highlight specific projects where you've worked with large language models, discussing your methodologies and the outcomes. Focus on your ability to test and maintain production LLM applications, and how those experiences equip you for the Senior MLOps Engineer role at Promise.

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What strategies do you use to ensure the scalability of AI systems?

Demonstrate your understanding of scalable architecture by sharing specific tools and frameworks you've utilized, such as Kubernetes for container orchestration. Talk about how you've approached system architecture challenges and your ability to design scalable AI systems tailored to meet user demands.

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How do you approach collaboration with cross-functional teams in an MLOps environment?

Emphasize your collaborative skills and experiences. Discuss how you build relationships with product managers, data scientists, and other engineers. Stress that you value open communication and seek to understand varying perspectives, which aids in successful project outcomes.

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Describe a challenging project you've worked on related to MLOps and how you overcame obstacles.

Share a detailed account of a specific MLOps project that posed challenges, explaining the problem, your approach to finding a solution, and the ultimate results. Emphasize your problem-solving skills and your dedication to maintaining project timelines and quality.

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What tools or technologies do you rely on for managing MLOps infrastructure?

Discuss the MLOps tools and technologies you have experience with, such as Terraform for infrastructure as code or Docker for containerization. Give examples of projects where you integrated these tools successfully, showcasing your proficiency in managing MLOps infrastructure.

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How do you stay updated with the latest advances in AI and MLOps?

Demonstrate your commitment to continuous learning by mentioning specific resources such as conferences, courses, or publications. Discuss how you apply new knowledge and trends in your work as a Senior MLOps Engineer, ensuring that your skills remain relevant.

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What considerations do you take into account when deploying AI solutions?

Detail the factors you consider before deploying AI solutions, including ethics, scalability, and user experience. Explain how you ensure that deployments meet both technical requirements and industry standards, especially in a sensitive environment like financial services.

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Can you give an example of how you've driven innovation in previous roles?

Outline a specific project where you implemented innovative solutions that improved processes or tools. Detail the approach you took and how it resulted in measurable improvements in efficiency or performance, aligning it back to the objectives of the Senior MLOps Engineer role.

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What is your experience with cloud platforms in MLOps, and how have you used them effectively?

Talk about the cloud platforms you have utilized, such as AWS or Google Cloud, and how they integrated into your MLOps workflow. Give specific examples of how you leveraged these platforms for deploying models or managing large datasets effectively.

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Why do you want to work for Promise as a Senior MLOps Engineer?

Articulate your passion for the mission at Promise and how it resonates with your professional values. Highlight the significance of using AI for social impact and your desire to contribute to solutions that enhance financial well-being for individuals and communities.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 27, 2025

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