Design and implement machine learning algorithms to solve real-world problems

Build and optimize pipelines for large-scale data processing and model training

Collaborate with data scientists and software engineers to integrate machine learning models into production systems

Develop and maintain scalable machine learning infrastructure to support model deployment and monitoring

Ensure the quality and reliability of machine learning solutions through rigorous testing and validation

Work with big data technologies to manage and process large datasets efficiently

Apply MLOps practices to streamline the development and deployment lifecycle of machine learning models

Establish and manage CI/CD pipelines for automating workflows and deployments

Monitor and troubleshoot deployed models to ensure optimal performance and accuracy

Stay up to date with the latest advancements in machine learning and related technologies

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

At least 3 years of hands-on experience as a Machine Learning Engineer, with a focus on production-grade systems

Proficiency in AWS for deploying and managing machine learning solutions in the cloud

Experience working with big data technologies for processing and analyzing large datasets

Familiarity with Databricks for collaborative data engineering and machine learning workflows

Strong understanding of MLOps practices for automating and scaling machine learning operations

Expertise in designing and implementing machine learning models for various applications

Practical experience with CI/CD tools like Jenkins and Airflow, and container orchestration tools like Kubernetes

Advanced programming skills in Python and Spark for building and optimizing machine learning systems

Fluent English communication skills, both written and spoken, at a B2 level or higher

Knowledge of advanced deep learning frameworks or techniques for building complex models

Familiarity with cloud-native tools and services for improving scalability and system performance