Machine Learning Engineer

Summary

Join PairSoft as an MLOps Engineer and contribute to scaling, deploying, and maintaining machine learning and Generative AI solutions. You will work with cloud-based ML infrastructure, optimizing model training, deployment, and monitoring. The ideal candidate possesses hands-on experience in MLOps, model deployment, and cloud scaling (Azure or Oracle stack). Experience with GenAI is a plus, but a strong learning mindset and adaptability are key. This full-time, remote position offers excellent career growth opportunities and a comprehensive benefits package.

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

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

Preferred Qualifications

Experience with GenAI

Benefits

• 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)
• Comprehensive Insurance Coverage: 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