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Senior Machine Learning engineer - وظيفتي
وظائف الأماراتوظائف بيت الامارات

Senior Machine Learning engineer

Senior Machine Learning engineer

الوصف الوظيفي

Seeking a passionate and innovative Senior machine learning engineer provides systems and Device Engineering expertise and assistance especially in the application and integration of AI, machine learning, and software systems.

  • Working in a collaborative environment as senior machine learning engineer
  • Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep

المهارات

kills and attributes for success

  • Excellent research and analytical skills
  • Strong communication skills
  • Proven leadership skills

To qualify, you must have

  • Bachelor of Software Engineering, Computer Science or Similar relevant degree preferred.
  • 5+ years plus industry experience.
  • The knowledge and experiences of Kubernetes ecosystem, Docker and Docker compose is a must
  • Exceptional Python and Java programming skills are a must.
  • A high level of attention to detail and the ability to produce accurate and consistent engineering documentation
  • Experiences in TensorFlow, Pytorch, Numpy, Pandas, Matplotlib are required.
  • Proficient in traditional machine learning algorithms and skills, including feature engineering, LightGBM, Xgboost, SVM, Stacking etc.
  • Proficient in deep learning algorithm, especially on transformer family, CNN family etc.
  • Have a solid algorithmic foundation, including greedy, dynamic programming, DFS, graph related algorithm
  • Knowledge in distributed data processing and AI training (GPU & CPU) is preferred
  • Extensive professional experience building, designing, and deploying Machine Learning Systems

What we look for:

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.

What working at G42 offers:

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Work-Life: A hybrid work policy to strike the perfect balance between office and home.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

About G42

G42 is a global leader in creating visionary artificial intelligence for a better tomorrow. Born in Abu Dhabi and operating across the world, G42 champions AI as a powerful force for good. Its people are constantly reimagining what technology can do, applying advanced thinking and innovation to accelerate progress and tackle society’s most pressing problems.

G42 is driving change in the region and beyond, joining forces with nations, corporations and individuals to create the infrastructure for tomorrow’s world. From molecular medicine to space travel and everything in between, G42 realizes exponential possibilities, today.

To confidently demonstrate that you meet the criteria above, please contact us.

G42 is the force that gets you further. Join us.

تفاصيل الوظيفة

منطقة الوظيفة
أبو ظبي, الإمارات العربية المتحدة
قطاع الشركة
خدمات تكنولوجيا المعلومات
طبيعة عمل الشركة
غير محدد
الدور الوظيفي
تكنولوجيا المعلومات
نوع التوظيف
دوام كامل
الراتب الشهري
غير محدد
عدد الوظائف الشاغرة
2

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