Machine Learning Engineer

Responsibilities

● Design and develop machine learning models and algorithms for real-world applications.

● Conduct experiments, evaluate results, and continuously optimize model performance.

● Collaborate with data scientists and backend engineers to preprocess, clean, and structure data.

● Build, maintain, and enhance robust ML pipelines and production-grade systems.

● Deploy models into production environments and ensure scalability, reliability, and low latency.

● Monitor production systems, identify bottlenecks, and proactively resolve performance issues.

● Work with task management and messaging systems like Redis, RabbitMQ, and Celery.

● Implement basic CI/CD practices for ML models and pipelines.

● Use containerization tools like Docker to streamline deployment and testing.

Qualifications:

● Proficiency in programming languages, especially Python.

● Strong experience with relational data...