Intellicore Consulting Group - Artificial Intelligence / Machine Learning Engineer

Description : About the Role :

The AI / ML Engineer will be focused on operationalizing our machine learning initiatives.

This role requires an engineering mindset to build robust, production-ready pipelines that move models from experimentation to large-scale deployment, working closely with Data Scientists and DevOps teams.

Key Responsibilities :

• Design, build, and maintain scalable ML pipelines (Training and Inference) using technologies like Kubeflow, Airflow, or MLflow.
• Containerize and deploy trained ML models as low-latency services using Docker and orchestrate them on Kubernetes clusters.
• Optimize model serving infrastructure for high throughput and low latency, including implementing techniques like batch processing and distributed training.
• Collaborate with Data Scientists to refactor experimental code into production-grade, efficient, and well-tested code in Python.
• Implement monitoring and logging strategies for production models, tracking drift, performance, and resource usage.
• Manage cloud-based data and compute resources specifically tailored for ML workloads (AWS Sagemaker, GCP AI Platform, or Azure ML).

Technical Skills Required :

(ref : hirist.tech)