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Software Engineer

2 months ago

Canada deepsense Full time
Job Summary

We are seeking a highly skilled Software Engineer - AI Infrastructure Specialist to join our team at Deepsense. As a key member of our engineering team, you will be responsible for designing and developing cutting-edge AI infrastructure solutions that drive business insights and solutions for our clients.

Key Responsibilities
  1. Collaborate with Data Scientists: Work closely with our data science team to integrate machine learning solutions into cloud-based applications, ensuring seamless integration and optimal performance.
  2. Optimize AI Algorithms: Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment, leveraging your expertise in machine learning and software engineering.
  3. Model Deployment: Automate and optimize model deployment following MLOps best practices, ensuring efficient and scalable deployment of AI models.
  4. Cloud Infrastructure Development: Engage in the development of cutting-edge Kubernetes-driven infrastructure, designing and implementing scalable and secure cloud-based solutions.
  5. System Reliability: Work on system reliability and backend stability, identifying areas for improvement and implementing solutions to enhance overall system performance.
  6. Knowledge Sharing: Share your expertise through talks and workshops, both internally and externally, to promote knowledge sharing and collaboration within the industry.
Requirements
  1. Education: Bachelor's or advanced degree in Computer Science or Engineering.
  2. Experience: Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
  3. Cloud Experience: Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
  4. System Architecture: Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
  5. Cloud Platforms: Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
  6. Programming Skills: Strong Python skills and familiarity with other object-oriented languages.
  7. Communication Skills: Very effective communication skills, both written and verbal.
  8. Problem-Solving Skills: Ability to solve problems and communicate complex ideas effectively.
Bonus Skills
  1. Machine Learning: Basic understanding of machine learning algorithms.
  2. Generative AI: Keen interest for Generative AI and Large Language Models (LLMs).
  3. Startup Experience: Previous startup experience.
What We Offer
  1. Cutting-Edge Projects: Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
  2. Collaborative Environment: Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
  3. Professional Development: An opportunity to participate in conferences and workshops, as well as internal training and seminar sessions.
  4. Remote Work Options: Remote work options and travel to European headquarters available.