Machine Learning Engineer(Logistics)

A little bit about us!

At Snoonu, we hold the belief that technology has the power to make anything possible.

Our Vision: to be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.

Our Mission: To radically transform how people live by leveraging technology to connect them with endless possibilities.

Values We Live By

• Be Customer Obsessed - “Focus on the customer and all else will follow.”
• Act with Integrity - “We are honest, ethical, and trustworthy in everything we do.”
• Be Curious and Creative - “We constantly innovate and create solutions to bring a lasting positive impact.”
• Lead by Example and Take Ownership - “Be the change you want to see and take ownership.”
• Work Smart and Deliver Results - “You can do more by doing less, better, and faster.”
• It's all about people - “Be a team player, together we are stronger.”

In this position, you will be working and collaborating with data scientists, backend engineers, researchers, and product engineers in a cross-functional setting. Your core responsibilities will be on research, development, implementation, integration, and testing of algorithms, methods, and systems for ML-based solutions that optimize our network. Among other things, you are the go-to person on the solution integration, performance, representation and memory, diagnostics, and reasoning.

Requirements:

• 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.