Valanor is committed to execution excellence, operating under the philosophy that "good is the enemy of great." We seek a motivated Contract ML & Fullstack Software Engineer to join our part-time, remote team.
This role is ideally suited for an engineer proficient in Python and standard machine learning libraries (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and YOLO), complemented by solid experience in React, Node.js, Next.js, Remix.run, and TypeScript. We value precision, performance, and collaborative innovation.
Key Responsibilities:
- Develop, optimize, and deploy machine learning models for object detection tasks using Python and standard libraries, including YOLO.
- Build robust backend scripting, data manipulation, analysis pipelines, and predictive models.
- Develop and maintain performant full-stack applications using React, Node.js, Next.js, Remix.run, and TypeScript.
- Design and integrate APIs that efficiently facilitate client-server and model-server interactions.
- Optimize web application performance through advanced techniques, including caching, lazy loading, and asset optimization.
- Manage Docker containerization for streamlined ML model deployment and continuous integration.
- Deploy applications and ML services on Netlify, Vercel, or cloud platforms, focusing on scalability and reliability.
- Create responsive, consistent UI components utilizing Tailwind CSS and ShadCN.
- Collaborate effectively across teams, ensuring alignment between technical implementations and strategic business objectives.
- Write clean, maintainable, documented code and actively participate in code reviews, testing, and continuous improvement processes.
Requirements:
- Minimum of 2 years of hands-on experience with machine learning in Python, specifically using libraries such as YOLO, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience developing full-stack applications with React, Node.js, Next.js, Remix.run, and TypeScript.
- Strong proficiency in JavaScript and modern web development frameworks and methodologies.
- Proven capability in performance optimization techniques for both web applications and ML models.
- Practical experience with Docker containerization and deploying applications on platforms like Netlify, Vercel, or similar cloud services.
- Expertise in building and integrating APIs and services with machine learning backends.
- Familiarity with Git, CI/CD pipelines, and automated testing frameworks.
- Self-motivated with strong communication skills, comfortable working independently in a remote, contract-based environment.
Preferred Qualifications:
- Experience with advanced computer vision applications, specifically using YOLO for object detection.
- Familiarity with GraphQL and RESTful API designs.
- Experience with cloud infrastructure services (AWS, Azure) and DevOps best practices.
- A proactive mindset toward problem-solving, innovation, and continuous learning.
Why join Valanor?
Valanor offers a dynamic contract role where you can directly impact cutting-edge ML and web projects in a flexible, remote environment. As a Contract ML & Fullstack Software Engineer, you'll have the opportunity to engage deeply with machine learning technologies, deliver impactful solutions, and collaborate with a highly skilled team driven by precision and innovation. Join us to help drive meaningful advancements in technology.