AI Ops / ML Ops Engineer
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Company Overview
Regie.ai is a Series A funded, industry-leading sales automation platform that leverages your CRM and sales engagement data, third-party buyer intent data, and Generative AI to continuously discern the most strategic individuals to engage, precisely when to reach out and with the most tailored message for optimal client engagement.
Whether facilitating sales representatives in their current prospecting efforts or orchestrating end-to-end prospecting processes, Regie.ai facilitates the expansion of your go-to-market strategies while consistently delivering productive meetings and a robust pipeline.
About the Founders
Srinath Sridhar - CEO and Co-founder. Sridhar has a Ph.D. from Carnegie Mellon and also has previously founded companies like Onera. He was among the first 100 engineers at Facebook and has also worked at Google and Bloomreach.
Matt Millen - Co-founder and president. Matt has rich experience in leading multiple companies as a CGO, CRO, and VP of Revenue. He has worked with multiple startups and has helped them build their growth story from the ground up.
Key Responsibilities
- Develop and maintain scalable ML/AI infrastructure to deploy, monitor, and optimize machine learning models.
- Collaborate with AI Engineers and software engineers to ensure models are production-ready, ensuring seamless integration and continuous delivery.
- Implement automation frameworks for model training, deployment, and performance monitoring.
- Monitor the performance of models in production and fine-tune parameters to improve efficiency.
- Manage data pipelines, including data collection, preprocessing, and feature engineering workflows.
- Troubleshoot production issues related to ML models and take corrective actions.
- Ensure the security, scalability, and efficiency of ML operations, adhering to industry best practices.
- Work closely with cross-functional teams to define system requirements and optimize model performance.
- Stay updated on the latest ML Ops tools, AI Ops, frameworks, and industry trends.
Requirements
Must have skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in ML Ops, AI Ops, DevOps, or a related role.
- Strong experience in cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
- Proficiency in deploying, monitoring, and optimizing machine learning models in production.
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, etc.) and versioning tools (MLflow, DVC, etc.).
- Solid understanding of CI/CD pipelines for ML workflows.
- Familiarity with data pipeline tools (Airflow, Prefect) and monitoring solutions.
- Excellent problem-solving abilities, attention to detail, and a team-oriented attitude.
Nice to have skills
- Experience with Generative AI models.
- Familiarity with sales automation platforms or CRM systems.
- Experience in optimizing and scaling ML systems for real-time applications.
Additional Details:
Location - Hybrid (3 days) out of Bangalore(preferred) / Gurgaon
