Do you want to shape the future of fintech and healthtech? Energized by challenges and inspired by bold goals? Ready to elevate your career alongside driven and talented colleagues? If that sounds like you, explore a career at Alegeus today. Opportunity Happens Here.
Sr. Engineer II, ML Ops
Join our team at Alegeus, where you’ll experience unmatched opportunity and a culture that cares deeply about succeeding together. As a Sr. Engineer II, ML Ops, you’ll power the operational backbone of our AI ecosystem—enabling secure, scalable, and governed deployment of machine learning and generative AI solutions that directly accelerate innovation across the business. Collaborate with dedicated colleagues, embrace a spirit of innovation, and build an enriching career with us.
OPPORTUNITY HAPPENS HERE — REALIZE YOURS
Alongside the best and the brightest, you will regularly:
Build and scale cutting-edge MLOps and LLMOps pipelines that bring AI models and generative solutions from experimentation into real-world impact
Drive secure, automated deployment of AI/ML and LLM-powered services using modern cloud and DevOps practices across Azure environments
Shape and champion responsible AI operations, ensuring governance, traceability, and auditability across every stage of the model lifecycle
Design and evolve monitoring, observability, and evaluation systems that keep models performant, reliable, and continuously improving in production
Partner with data scientists, AI engineers, and product teams to operationalize innovation, transforming cutting-edge ideas into scalable solutions
Lead the adoption of safe rollout strategies (A/B testing, canary releases, human-in-the-loop controls) to deliver high-quality AI experiences with confidence
ESSENTIAL SKILLS FOR CREATING A LASTING IMPACT
Alegeus colleagues are known as problem-solvers, risk-takers, and innovative thinkers. As a Sr. Engineer II, ML Ops, these skills are essential for success:
Abilities: Strong technical and analytical capabilities to design, automate, and govern end-to-end AI/ML and LLM operations, including deployment pipelines, observability, secure release practices, and cross-functional collaboration in regulated environments
Experience: 7–9 years of experience in MLOps, DevOps, ML engineering, or cloud/platform engineering, with hands-on expertise in deploying and supporting production-grade AI/ML systems; experience with tools such as Azure Machine Learning, MLflow, Azure OpenAI, CI/CD pipelines, and monitoring frameworks
Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
Location: Bangalore, India
BECAUSE WE CARE, WE OFFER:
A flexible work environment
Competitive salaries, paid vacation, and holidays
Robust professional development programs
Comprehensive health, wellness, and financial packages
SHARED AMBITION. INSPIRED FUTURE.
At Alegeus, our success is guided by our aligned vision and values—it is how we work together and collaborate to achieve our goals.
People First. We pride ourselves in bringing talented people together and treating one another with care.
Partner Powered. We are committed to empowering our partners, knowing our success is shared and we win as one.
Always Advancing. We are driven by potential and relentlessly determined to achieve our goals.
“I truly believe that people who are well-skilled and talented can go wherever they want in this company. We want to create the best place anyone has ever worked.” - Alegeus employee
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We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.
At Alegeus, being transparent about our compensation philosophy and approach is more than just a legal requirement. As our organization continues to grow and evolve, we have made a commitment to ensure that our compensation framework is equitable, data-driven, consistent, and unbiased, with allowable pay differences based on factors unique to each candidate (think: skills, experience, qualifications, etc.) in order to attract and retain a highly talented and committed workforce.
We are taking an “inside-out” approach to pay transparency by first educating our valued managers and internal workforce and then moving to publishing compensation ranges externally. In the interim, if you are a California, Colorado, Connecticut, Maryland, Nevada, New Jersey, New York, Ohio or Washington resident and this role is physically available in your state or classified as remote, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request. Please send an email identifying the title of the role you are interested in and the state you reside in to [email protected].
Alegeus may use AI technology during candidate interviews. The uses include recording, note-taking, and summarizing candidate interviews. The information generated by the AI technology will be used by Alegeus during the hiring process. If you wish to opt out of having AI technology transcribe your interview, please notify your recruiter in advance of the interview. Otherwise, by agreeing to an interview with us, you consent to the use of AI technology during your interview.
Skills Required
- 7-9 years of experience in MLOps, DevOps, ML engineering, or cloud/platform engineering
- Hands-on expertise with Azure Machine Learning, MLflow, and Azure OpenAI
- Experience building and supporting production-grade AI/ML systems and CI/CD pipelines
- Strong skills designing observability, monitoring, and evaluation systems for models in production
- Experience implementing safe rollout strategies (A/B testing, canary releases, human-in-the-loop)
- Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
- Location: Bangalore, India
Alegeus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Alegeus and has not been reviewed or approved by Alegeus.
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Healthcare Strength — Benefits include comprehensive medical, dental, vision, and mental‑health support, with indications of affordable single‑coverage premiums. This breadth aligns with a benefits‑technology focus and is presented as a program strength.
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Retirement Support — A 401(k) program with employer matching and significant company contributions is highlighted, alongside a defined vesting schedule. Retirement savings support is positioned as a core element of the package.
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Leave & Time Off Breadth — Generous or “unlimited” PTO and paid holidays are emphasized within the offering. Time off breadth appears strong, even if practical usage may vary by team norms.
Alegeus Insights
What We Do
Alegeus is the market leader in consumer directed healthcare solutions, offering the industry’s most comprehensive platform for the administration of healthcare benefit accounts (including FSAs, HSAs, HRAs, wellness incentive, dependent care, and commuter accounts), the industry’s most widely-used benefit debit card, and powerful consumer engagement solutions to help consumers optimize their healthcare spending and maximize their healthcare savings. Over 300 clients - including health insurance plans, third party administrators and financial institutions - leverage Alegeus’ deep expertise and proven technology to administer benefit accounts for more than 30 million members and process more than $9.1 billion in consumer healthcare payments annually.
