Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field., 3 to 7 years of experience in MLOps and model deployment., Proficiency in Python and experience with Azure or Oracle Cloud stack., Strong knowledge of MLOps tools like MLflow, Kubeflow, Docker, and Kubernetes..

Key responsabilities:

Develop and scale MLOps pipelines for ML and GenAI solutions.

Automate model retraining, deployment, and monitoring in production.

Optimize cloud resources for AI workloads to enhance efficiency.

Implement observability and performance tracking for deployed models.

Job description

MLOps Engineer
Location: [India]
Job Type: Full-time, Remote
Experience Level: 3 to 7yrs

About the Role
We are looking for an MLOps Engineer to help scale, deploy, and maintain machine learning (ML) and Generative AI (GenAI) based solutions.
In this role, you will work with cloud-based ML infrastructure to optimize model training, deployment, and monitoring.
The ideal candidate has hands-on experience in MLOps, model deployment, and cloud scaling (Azure or Oracle stack).
While experience with GenAI is a plus, we are looking for someone with a strong learning mindset, a willingness to experiment, and the ability to adapt quickly to new challenges.

Key Responsibilities

Develop and scale MLOps pipelines to support ML & GenAI based solutions.
Automate model retraining, deployment, and monitoring to ensure seamless operation in production.
Optimize compute, storage, and networking for AI workloads to improve efficiency.
Work with cloud ML platforms such as Azure ML and/or OCI AI Services, or equivalent infrastructure.
Implement observability and performance tracking to monitor deployed models.
Explore and experiment with GenAI scaling strategies for better efficiency and performance.

Requirements

Proficiency in Python for ML development and automation.
Hands-on experience with Azure or Oracle Cloud stack.
Proven ability to deploy and scale ML models effectively.
Strong knowledge of MLOps tools, such as MLflow, Kubeflow, CI/CD, Docker, and Kubernetes.
Experience with monitoring and optimizing ML pipelines to ensure performance and reliability.
Excellent communication skills and the ability to thrive in a fast-paced, collaborative environment.

What We Offer:

🌟 Career Growth: Opportunity to grow within a rapidly expanding organization.
🌟 Cutting-Edge Technology: Work with a Microsoft Gold Partner organization and the latest technologies.
🌟 People-First Culture: Be part of a company that values its employees.
🌟 Comprehensive Insurance Coverage:
Company-paid Group Mediclaim Insurance for employees, spouses, and up to 2 kids (INR 4,00,000 per annum).
Company-paid Group Personal Accidental Insurance (INR 10,00,000 per annum).
🌟 Career Development: Company-paid & Manager-approved career advancement opportunities.
🌟 Referral Bonus: Best-in-the-industry referral bonus policy.
🌟 Work-Life Balance: 29 paid leaves per year.
🌟 Maternity Benefits: Company-paid maternity leave

About the Company

We are a global team of innovators and advocates transforming how financial data is captured, stored, and manipulated with our comprehensive suite of automation technology. Our platform seamlessly integrates with your existing ERP for an unrivaled end-user experience. We do the heavy lifting so accounting, procurement, and fundraising teams can do their best work.

PairSoft’s aspires to be the strongest procure-to-pay platform for the mid-market and enterprise, with close integration to Microsoft Dynamics, Blackbaud, Oracle, SAP, Acumatica and Sage ERPs.

At PairSoft, we are passionate about innovation, transparency, diversity, and advocating on behalf of our customers and communities we support. We offer exciting career opportunities and a collaborative culture that allows individuals to learn, grow, and create meaningful impact. We are expanding and seeking team players who are eager to jump in and contribute to our rapid growth!

PairSoft is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other protected status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please email us at: careers@pairsoft.com.

To read our Candidate Data Privacy Notice - including GDPR - click here.

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