LikeRemoteSr. Engineer II, ML Ops
from 🇮🇳 India
Do you want to shape the future of fintech andhealthtech? 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-edgeMLOps and LLMOps pipelines that bring AI models and generative solutions from experimentation into real-world impact
Drivesecure, automated deployment of AI/ML and LLM-powered services using modern cloud and DevOps practices across Azure environments
Shape and championresponsible AI operations, ensuring governance, traceability, and auditability across every stage of the model lifecycle
Design and evolvemonitoring, observability, and evaluation systems that keep models performant, reliable, and continuously improving in production
Partner with data scientists, AI engineers, and product teams tooperationalize innovation, transforming cutting-edge ideas into scalable solutions
Lead the adoption ofsafe 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.
“Itruly 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 totalentacquisitionteam@alegeus.com.
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.
