Software Engineer- AI Research

Description

Background

DriveNets is looking for a software developer to join its AI-OPS project and a successful software team as part of the new and rapidly evolving project. If you're passionate about leveraging Python in AI-driven operations, with a knack for solving complex problems through microservices and Kafka, we'd love to hear from you.

Responsibilities

• Design, develop, and maintain scalable microservices using Python. Ensure these services are robust, secure, and capable of handling high data traffic volumes.
• Continuously monitor and improve the performance of microservices and data pipelines. This includes load testing, identifying bottlenecks, and implementing solutions for scalability.
• Work closely with data scientists/machine learning researchers to integrate AI models into our operational systems. This involves understanding model requirements, optimizing for performance, and ensuring models can be updated or replaced with minimal disruption.
• Work collaboratively with cross-functional teams, including DevOps, Network Architects, Data Engineers, and Product Managers, to align development with business goals.
• Maintain high-quality documentation for all code, adhere to coding standards, and promote best practices within the team.
• Stay updated with the latest in Python, microservices, AI, and messaging technologies. Propose and implement innovative solutions to enhance our AI-Ops capabilities.
  
  

• 3-5 years of experience in software development
• Solid Python programming skills with a deep understanding of frameworks such as Flask, FastAPI, or Django
• Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization
• Strong experience in developing and managing microservices architecture, with a focus on scalability, fault tolerance, and distributed systems
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  
  

• Experience with data stream processing pipelines, data analytics, AI APIs & fine-tunning
• Experience with Golang programming language
• Knowledge of Docker and Kubernetes for containerization and orchestration
• Familiarity with CI/CD pipelines and tools like Jenkins
• Experience with computer networks (e.g. CCNA/CCNP level)