TIDI Systems is a tech startup specialized in artificial intelligence, promotions, digitizing receipts, and payments.
We are looking for a Python developer, who will be instrumental in building, optimizing and scaling applications across a range of domains.TasksAI Model Development: Implementing AI and machine learning models that drive key insights and functionalities for our products.Microservices API Management: Developing and optimizing microservices using RESTful and GraphQL APIs to support application requirements.Data Architecture Optimization: Designing and maintaining data architectures using SQL, NoSQL, and Polars DataFrames, focusing on efficient data handling, parallelization, and bottleneck reduction.Back-End Development: Building and maintaining Python applications, using frameworks like Tornado, Django, or Flask, to support robust, high-performance solutions.Data Engineering Integration: Working with AWS tools, Docker, and data pipelines to streamline data ingestion and processing for React dashboards and other front-end interfaces.Code Optimization Testing: Identifying performance issues, performing parallelization, and implementing best practices in unit and integration testing to ensure software reliability and efficiency.Collaboration and Flexibility: Collaborating closely with cross-functional teams to deliver on project requirements and being open to switching focus between varied projects, from AI initiatives to back-end optimizations.RequirementsExperience: 4-6 years of experience in Python development, with demonstrated adaptability across different types of projects.
Strong background in web servers (e.g., Tornado) and web request handling.Technical Skills: Proficiency in SQL and NoSQL databases, with knowledge of data optimization using Polars or similar frameworks.
Experience in AI/ML techniques, especially with models for recommendation systems, image recognition and NLP.
Hands-on experience with AWS services for scalable deployments and Docker for containerization.
Demonstrated experience in identifying and resolving performance issues, including parallelization and code optimization.
Knowledge of RESTful and GraphQL APIs; experience with asynchronous processes and messaging systems (e.g., Kafka, AWS AppSync).Additional Skills: Familiarity with front-end development in React JS is a plus.
Solid understanding of data science tools like Polars, Pandas, NumPy, PyTorch, and Scikit-learn.
Experience in implementing CI/CD pipelines and agile methodologies for efficient project delivery.
A team-oriented mindset with excellent communication skills, comfortable collaborating with cross-functional teams.Education: Bachelor's or Master's degree in Mathematics, Physics, Computer Science, Data Science, Engineering, or a related field, or equivalent work experience.BenefitsOpportunity to work in a growing startup.Dynamic and collaborative work environment, with opportunities for learning and professional development.Involvement in the success of the company through different incentives based on performance and company growth.Flexible working hours and hybrid work.
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