Machine Learning Engineer

Location:
Bangalore | Hyderabad | Pune | Chennai | Mumbai | Gurgaon | Remote

About Company

Join a fast-growing AI-first technology company building intelligent industrial software that combines machine learning, large language models, and domain expertise to transform asset reliability and industrial operations. The engineering team develops scalable AI platforms that power autonomous diagnostics, predictive maintenance, root-cause analysis, and decision-making for complex industrial environments.

Job Roles & Responsibilities
- Design, deploy, and operate production-grade machine learning and LLM systems across cloud and edge environments.
- Build and maintain automated CI/CD pipelines for model training, validation, deployment, versioning, and production serving.
- Monitor model performance through observability, drift detection, evaluation pipelines, and production-quality monitoring.
- Develop and optimize LLMOps workflows covering prompt management, inference optimization, evaluation, guardrails, and model lifecycle management.




- Improve platform reliability, scalability, reproducibility, and security using modern MLOps best practices and cloud-native infrastructure.
- Collaborate with AI researchers, software engineers, platform teams, and product stakeholders to deliver production-ready ML and Generative AI capabilities.

Ideal Candidate Profile
- Bachelor's degree in Engineering, Computer Science, or a related technical discipline with 3+ years of experience in MLOps, ML platform engineering, or machine learning infrastructure.
- Robust experience deploying, serving, monitoring, and maintaining machine learning models in production environments.
- Hands-on expertise with MLflow, Docker, Kubernetes (or K3s), CI/CD pipelines, and cloud platforms including AWS, Azure, GCP, and Databricks.
- Experience operating LLM-based applications, including inference serving, evaluation pipelines, guardrails, prompt management, and production mo

📌 Artificial Intelligence Engineer (India)
🏢 Flexiple
📍 India