استخدام مجموعه جاباما

مجموعه جاباما در تهران جهت تکمیل کادر خود از واجدین شرایط زیر دعوت به همکاری می نماید.

Description

job title

Own the full ML lifecycle: from data ingestion and feature engineering to deployment, monitoring, and iteration.
Design and develop machine learning, and optimization algorithms to solve business problems, or find suitable solutions through research.
Champion customer obsession—not just end users, but internal teams who depend on your systems.
Stay curious: explore new methods, contribute to internal learning, and drive innovation via emerging techniques or tech stacks.
Lead by example in promoting open communication, earnest feedback, and disagree-and-commit practices.
Drive improvements across performance, robustness, and maintainability of our ML infrastructure—prioritizing automation, observability, and reliability.
Act as a technical thought partner to Data Scientists and Product teams, helping bridge experimental models into real-world, high-throughput services.
Proactively identify pain points, suggest better abstractions, and build tooling that accelerates experimentation and deployment.
Be responsible for SLIs/SLOs for ML systems, ensure system and model health, monitor data quality, performance and business impact, and devise mitigation plans.
Required Skills & Experience:
3+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environment.
Willingness to learn and understand complex and multidisciplinary business problems and concepts related to Jabama business operations.
Deep understanding of the math behind machine learning algorithms and the ability to design and develop new ones.
A strong command of Scala, Python and SQL, with experience in Go, Java, or other back-end languages being a plus.
Deep understanding of ML architecture and lifecycle: training, validation, serving, and monitoring.
Experience working with large-scale data systems and distributed compute frameworks.
Comfort making trade-offs across latency, performance, and reliability in real-world systems.
Familiarity with both relational (PostgreSQL, MySQL) and NoSQL (Redis, Elasticsearch, ClickHouse) data stores.
A pragmatic, delivery-focused mindset—aligned with bias for action and delivering in small, iterative steps.
A sense of ownership over systems you build—you don’t wait for problems to find you.
Passion for mentoring, sharing knowledge, and helping others grow.
Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
Excellent communication skills in English—clear, direct, and collaborative.

Senior Machine Learning Engineer

متقاضیان واجد شرایط می توانند با کلیک روی لینک تکمیل فرم استخدام، با انتخاب شغل مورد نظرشان رزومه خود را ارسال نمایند.

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