technologies-expected :

responsibilities :

Implement and productionise ML-based services using Sagemaker
Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.
Collaborate with our Data Scientists team to design and implement ML workflows.
Participate in code reviews, contributing to our culture of continuous improvement.
Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner.

requirements-expected :

Strong team player, willing to learn from and contribute to an experienced team
High engagement, proactivity, and sense of ownership
5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field
Proficiency in production-level Python (Clean, SOLID)
Industry experience in Amazon Sagemaker deployment
Experience in deploying and scaling LLMs in production
Experience with IaC (Terraform), CI/CD (Atlassian Bamboo) and test automation best practices.
Excellent communication skills in English, both written and verbal.
Bachelors degree in Computer Science or a related field. Master’s degree is preferred.
You contribute to technical discussions with our team, Product Manager and Stakeholders
You are proactive, focused on delivery and value creation.
You work self-sufficiently in an autonomous team.
You have experience working in Scrum or empowered teams with multiple roles.

offered :