We are seeking a skilled professional to join our team as a Machine Learning Engineer. This is an exciting opportunity for someone who wants to take their career to the next level in IT and Telecommunications.
Six years of experience have given us a unique perspective on what makes a successful project. At Smart Nearshore, we pride ourselves on being a dynamic, honest, and trustworthy team that values our people and provides efficient and simple solutions.
Key Responsibilities:
* Design, develop, and deploy machine learning models using Python for production-level systems
* Collaborate with cross-functional teams to identify business needs and develop innovative solutions
* Maintain and improve existing ML systems, ensuring they meet performance and scalability requirements
* Stay up-to-date with industry trends and best practices, applying new knowledge to drive business growth
Requirements:
* At least 3 years of experience in software/backend engineering roles
* Strong understanding of Azure services, including Azure ML, Azure DevOps, and Azure Container Registry
* Proficiency in containerization and Kubernetes (AKS), with hands-on experience in Docker
* Familiarity with ML lifecycle tools, CI/CD pipelines, version control, and automated testing
* B2+ level English proficiency
What We Offer:
* A competitive salary and benefits package
* Ongoing training and development opportunities
* A collaborative and supportive work environment
* The chance to work on challenging projects and contribute to business growth
About Us:
* We are a technology consulting company with a strong focus on delivering high-quality solutions
* We value our people and strive to create a positive and inclusive work environment
* We are committed to ongoing learning and development, both individually and as a team