AI/ML Strategist

1 day ago

Angeles City, Central Luzon, Philippines beBeeArtificialIntelligence Full time ₱1,000,000 - ₱1,500,000
Senior Machine Learning Developer Position

We are seeking an experienced Senior Machine Learning Developer to join our team. As a key member of our development group, you will be responsible for designing and developing innovative software applications using artificial intelligence technologies.

Your primary focus will be on leveraging AI/ML technologies to enhance the developer experience, working closely with cross-functional teams to integrate AI-driven solutions into our products.

  • Crafting Solutions: Design and develop cutting-edge software applications that showcase your expertise in AI/ML technologies.
  • Mentorship and Collaboration: Mentor junior engineers and foster collaboration across teams to promote best practices and innovation.
  • AI Technology Integration: Lead the integration of AI technologies to elevate development velocity and spark innovation within our organization.

Requirements:

Technical Expertise
  • 5+ years of software engineering experience, including back-end development with .NET and Python.
  • 5+ years of experience with front-end frameworks such as Angular or React.
  • 5+ years of experience working with SQL and NoSQL databases.
  • 5+ years of hands-on cloud experience (AWS, Azure), including serverless infrastructure.
  • 35 years of experience working directly with AI frameworks and tools.
  • Proficiency with automated testing tools like Selenium, Cypress, Playwright, JUnit, or Jest.
  • Proven experience integrating and optimizing AI models within applications.
Essential Skills
  • Solid understanding of enterprise integration and cloud design patterns.
  • Advanced prompt engineering skills and effective use of large language models.
  • Expertise in building and consuming RESTful APIs.
  • Familiarity with containerization tools (Docker) and orchestration (Kubernetes).
  • Strong grasp of DevOps and CI/CD practices.
  • Proficiency using AI coding assistants.
  • Understanding of AI model lifecycle: preprocessing, feature engineering, evaluation.
  • Ability to lead change and influence engineering practices across teams.

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