We are seeking a talented and experienced Backend Engineer with a strong background in Machine Learning to join our dynamic team. As a Backend Engineer at Salus, you will be responsible for developing and maintaining scalable and efficient backend systems that support machine learning applications.

Responsibilities:

• Design, develop, and maintain robust and scalable backend systems.
• Integrate machine learning models into backend services.
• Work closely with machine learning engineers and front-end engineers to deploy machine learning models.
• Stay updated with the latest trends and technologies in machine learning and backend development.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 1+ years of industry experience.
• Strong experience in backend development using languages such as Python, Java, or Node.js.
• Strong familiarity with machine learning concepts.
• Experience with cloud services (AWS, Azure, GCP) and container technologies (Docker, Kubernetes).
• Knowledge of database systems, both SQL and NoSQL.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Preferred Qualifications:

• Prior experience in a similar industry or domain.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in NLP domain.

Why We're the Perfect Place to Launch Your Career?

• Experience a flexible, hybrid work model that allows you to thrive where you feel most productive.
• Join a young, energetic team where you'll learn, grow, and build meaningful connections.
• Enjoy a competitive USD salary that reflects your talent and contributions, while making a difference with clients around the world.