BSc or MSc in Computer Science, Engineering, or a related field.
5+ years of experience as a Backend Developer with a focus on Python or as a Machine Learning Engineer.
Expertise in implementing AI/ML Systems using Python. Experience in ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
Formal Education in Data Science / Solid understanding of machine learning algorithms, statistical methods, and data mining techniques.
Proficiency in designing and implementing RESTful APIs and API authentication mechanisms.
Expertise in writing and maintaining unit tests to ensure code quality and reliability.
Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes).
Experience with event-driven architectures (e.g., Kafka).
Familiarity with CI/CD pipelines and version control systems.
Advanced skills in diagnosing and resolving performance issues and sophisticated debugging.
Excellent problem-solving skills and ability to work independently, as well as in a team-oriented, collaborative environment.
Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.
Nice to Have:
PhD in CS, ECE, Statistics, or equivalent industrial experience
Proven ability to develop and deliver at least one ML-based product or service
Excellent communication and cross-functional collaboration skills, with a proven ability to formulate projects and work with diverse teams
Responsibilities:
Lead the development and maintenance of backend micro services and APIs using Python, ensuring high performance, scalability, and reliability.
Collaborate with a cross-functional team of engineers, data scientists, and product managers to implement technical solutions that meet business needs and ensure robustness, scalability, and reliability.
Conduct in-depth code reviews, enforce best practices, and provide constructive feedback.
Monitor and optimize application performance, troubleshoot issues, and implement necessary fixes.
Lead production deployments and manage the process to ensure efficiency.
Participate in technical interviews to evaluate candidates' technical skills.
Stay up-to-date with the latest industry trends and advancements in Python backend development, ensuring our capabilities remain competitive and cutting-edge.
Guide engineers in implementing complex features. Mentor junior developers and foster a collaborative development environment.