Machine Learning Engineer - Artificial Intelligence

Description :

We are seeking a highly experienced and technically proficient Machine Learning Engineer to take ownership of our production ML infrastructure.

This is a crucial MLOps-focused role responsible for designing, building, and maintaining robust, scalable production-grade ML pipelines.

The ideal candidate will leverage expertise in NLP, distributed systems, and cloud-native architectures to ensure our machine learning models deliver reliable, continuous value.

Key Responsibilities & Technical Deliverables :

• ML Pipeline Architecture : Build, architect, and maintain end-to-end ML workflows using modern frameworks and best practices.
• This encompasses data ingestion, feature engineering, training, validation, and serving.
• Deployment & Orchestration : Lead the deployment of models into production using containers (Docker and Kubernetes).
• Utilize advanced orchestrators like Airflow or Vertex AI Pipelines for scheduled and event-driven execution.
• Distributed Systems : Work effectively with distributed systems and big data technologies (Spark) to handle large-scale data processing and model training efficiently.
• NLP & Model Serving : Focus on building and deploying robust solutions in Natural Language Processing (NLP).

Implement low-latency model serving layers using modern frameworks like FastAPI.

Required Skills & Technical Expertise :

Infrastructure & MLOps :

(ref : hirist.tech)