About Position:

We are seeking an experienced AI/ML MLOps Engineer (L5) to join our team in supporting an AWS Professional Services engagement. This role focuses on fine-tuning and deploying a self-hosted large language model (LLM) to replace a high-cost commercial inference pipeline used for automated UI test execution.

Role: AI/ML MLOps Engineer (L5)
Location: All Persistent Locations
Experience: 8 to 15 years
Job Type: Full-Time Employment

What You'll Do:

Build and maintain training data pipelines, including format conversion, deduplication, and quality filtering.
Execute supervised fine-tuning with progressive model scaling to enhance model performance.
Design and implement offline evaluation frameworks to assess model efficacy.
Develop and execute shadow-mode and staged A/B rollout strategies, ensuring automated rollback capabilities.
Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Monitor production systems and implement canary deployments for continuous improvement.

Expertise You'll Bring:





The successful candidate will bring a combination of technical expertise, problem-solving skills, and a collaborative mindset. You will be instrumental in driving the success of our AI initiatives and ensuring the seamless integration of machine learning models into our operational framework.
If you are passionate about AI/ML technologies and have a proven track record in MLOps, we encourage you to apply and join our innovative team

Benefits:

Market-competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Dri

📌 AI/ML MLOps Engineer (Pune)
🏢 Persistent Systems
📍 Pune