
Real job — pulled straight from Snoonu’s careers page · Verified October 13, 2026 · No reposts.
Job description
Snoonu is hiring a Senior Machine Learning Engineer — a full-time, based in Doha, Qatar role. Apply directly on Snoonu's careers page below.
Senior ML Engineer
Location: Doha, Qatar
Department: Data Science - Logistics
Experience: 5+
- 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.
- 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, aws sns).
- 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.
- 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.
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Frequently asked questions
What skills are required for Senior Machine Learning Engineer at Snoonu?
The required skills for Senior Machine Learning Engineer at Snoonu include: Python, TensorFlow, PyTorch, Scikit-learn, REST, PostgreSQL, MySQL, MongoDB, Redis, AWS, Azure, GCP, Docker, Kubernetes, Kafka, CI/CD, Git.
What is the seniority level for Senior Machine Learning Engineer at Snoonu?
Senior Machine Learning Engineer at Snoonu is a Senior level position.
How do I apply for Senior Machine Learning Engineer at Snoonu?
You can view the full description and apply for Senior Machine Learning Engineer at Snoonu on EchoJobs: https://echojobs.io/job/snoonu-senior-ml-engineer-1daoy.