Remote Middle/Senior Machine Learning Engineer (Social Shopping Platform)

Description:

• The position is for a Middle/Senior Machine Learning Engineer at Sigma Software, working on a social shopping platform.
• The role involves working and professionally communicating with the customer’s team.
• Responsibilities include delivering major solution features and participating in the requirements gathering and clarification process.
• The engineer will propose optimal architecture strategies and lead the data architecture implementation.
• The job requires developing core modules and functions while designing scalable and cost-effective solutions.
• The engineer will perform code reviews and write unit and integration tests.
• The role includes scaling the distributed system and infrastructure to the next level.
• The engineer will assist the client’s research team with the implementation, training, testing, and tuning of deep learning models.
• Responsibilities also include developing AWS machine learning infrastructure to support and maintain model serving and training.
• The engineer will provide guidance and best practices for effectively and securely leveraging Amazon SageMaker service for model interaction.
• The role involves creating reusable project templates for MLOps solutions for CI/CD of ML models.
• Collaboration with a research team to identify best-fit models and open-source alternatives related to language and signal processing is also required.

Requirements:

• Strong knowledge and experience in Python and SQL are required.
• Experience with PySpark and Airflow is necessary.
• Candidates must have experience with model implementation and tuning using popular Machine Learning frameworks such as PyTorch, Keras, and TensorFlow.
• A solid understanding of machine learning development and deployment processes is essential.
• Candidates should have solid experience with SageMaker and its features, including SageMaker Pipelines.
• The ability to create and adjust SageMaker pipelines for the end-to-end ML development cycle is required.
• Experience in working with deep learning models for processing is necessary.
• An Upper-Intermediate level of English is required for this position.

Benefits:

• The position offers the opportunity to work with cutting-edge technologies in a professional team.
• Employees can work remotely, providing flexibility in the work environment.
• The company supports diversity, inclusion, and fair recruitment processes.
• Visa sponsorship is available for certain roles and skill sets.
• Employees will have the chance to grow their professional skills through interesting projects and activities.