TIDEPOOL LABS

Job description:

Tidepool Labs Europe has an opportunity for a Backend (Python) Engineer with ML focus. The ideal candidate will be an enthusiastic developer eager to work with a team to build high profile applications.

/en/python-backend-engineer-with-machine-learning-focus

Job responsibilities

• Develop and maintain robust backend systems primarily using Python.
• Implement and optimize SQL databases for high performance and scalability.
• Design data schemas and implement SQL queries for data manipulation and retrieval.
• Collaborate with cross-functional teams including data scientists, frontend developers, and project managers to align backend systems with business requirements.
• Monitor, test, and continuously optimize software architecture with an emphasis on performance and scalability.
• Work with machine learning models, enhance both the functionality and efficiency of systems.
• Ensure the integrity and security of data used in backend systems.
• Participate in code reviews, maintain documentation, and adhere to best software development practices.

Required qualifications

• A Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is an advantage.
• 3+ years of experience in backend development, with a strong focus on Python.
• Proficient in Python, with a strong understanding of modern frameworks and core principles in it.
• Experience with Python web frameworks such as Flask and/or Django.
• Experience in developing responsive and efficient web applications with a focus on back-end performance.
• Skilled in database schema design, query optimization, and database management
• Strong proficiency with relational databases such as PostgreSQL, MySQL, and/or others.
• Experience with ML frameworks and tools such as ScikitLearn, TensorFlow, Keras, PyTorch, or others relevant to building and deploying machine learning models.
• Foundation in machine learning algorithms and statistical models, such as supervised and unsupervised learning techniques, regression analysis, decision trees, and neural networks.
• Knowledge of Redis or similar caching solutions to enhance application performance.
• Experience with version control systems, preferably Git, and collaborative coding environments.
• Experience with AWS products (EC2, Cloudfront, Amplify, S3 etc.)
• Knowledge of other scripting languages, including Linux Shell Script.

Additional Advantages

• Expertise in the development and implementation of advanced machine learning algorithms and sophisticated statistical models, demonstrating a deep understanding of both theoretical underpinnings and practical applications.
• Proficient in crafting compelling statistical visualizations that effectively communicate data insights to both technical and non-technical audiences.
• Experience with Generative AI, particularly with Large Language Models (LLMs) and applications in real-world scenarios.
• Knowledge of containerization and orchestration technologies like Docker and Kubernetes.
• Experience in using NestJS and/or NextJS for optimal server-side and static site generation.
• Knowledge of Go, with experience in building high-performance and scalable applications.

Desirable profile

• Excellent written and verbal English proficiency
• Strong collaborative skills
• Proven ability to learn quickly.
• Highly logical and analytical mindset
• Ability to adapt quickly to new technologies and ongoing changing business requirements
• Highly motivated
• Ability to work under pressure
• Multitasking

Required candidate level: Senior

Additional information