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MLOps Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Turkey

Offer summary

Qualifications:

Bachelor’s/Master’s/Ph.D. in Engineering, Computer Science or related field, 3+ years of experience in ML systems, Hands-on experience with Python and SQL, Knowledge of AI Product lifecycle and cloud technologies, Familiarity with Kubeflow and Openshift AI.

Key responsabilities:

  • Design and maintain ML pipelines
  • Monitor ML models and systems
  • Research real-world modeling problems
  • Document MLOps solution scenarios
  • Contribute to Feature Engineering tasks
Intertech Information Technology and Marketing Inc. logo
Intertech Information Technology and Marketing Inc. Large https://www.intertech.com.tr
1001 - 5000 Employees
About Intertech Information Technology and Marketing Inc.
Intertech was established in 1987 to offer a wide range of Information Technology services to the financial sector. Today Intertech is among the leading technology companies in Turkey and the world through its innovative solutions for the finance and banking industries. Intertech has created more than 100 products using 35 years of experience by more than 1100 technical staff members specialized in their fields. These products are used by over 50 financial institutions in 11 different countries in Europe and MEA region, Turkey being in the first place. Furthermore, Intertech has been in Gartner Vendor List since April 2013. All products and services that a financial entity may require can be solely provided by Intertech. Since the day of its establishment, Intertech has developed four core banking platforms used in many domestic and international banks and expanded its product range using its experience. As a strategic solution partner of Microsoft, Intertech has built its enhanced inter-Vision integrated banking platform on Microsoft-based technologies such as .NET and Microsoft SQL Server. The inter-Vision platform has been developed with agile project management approach by focusing on ITIL and COBIT compatibility. In this platform, besides “financial applications"​ products, there are products that are both modular and fully integrated with each other, available under the main groups of "customer relationship management"​, "business processes management"​, “data mining and business intelligence"​ and “digital channels"​ as well as “infrastructure management”, “payment systems”. For more than a quarter of a century, Intertech has offered IT solutions and services that will create added value to its customers by accurately and fully understanding their needs and requests, using state-of-the-art technologies and ensuring competitive edge with superior speed, quality and low costs.
See more Intertech Information Technology and Marketing Inc. offers

Job description

What We’re Looking For


In recent years, Intertech has been taking important steps towards acquiring technical systems focusing on the banking of the future and meeting the needs of the industry. With the platform transformation process, which is one of the most important examples of this, Intertech also designs technologies for future business models with high quality standards.


We are looking for talented, passionate and agile minded Machine Learning Engineers to join our MLOPS Team.


  • Bachelor’s/Master’s/Ph.D. degree in Engineering, Computer Science, Machine Learning, Electrical Engineering, Mathematics, Physics (or equivalent experience)
  • 3+ years of hands-on experience implementing and maintaining production machine learning systems
  • Hands-on experience in Python
  • Knowledge of AI Product lifecycle
  • Competency in the development of highly available, largely scalable, ML-driven applications and systems and ML pipelines.
  • Strong SQL knowledge
  • Experience with cloud technologies and as-a-service cloud solutions
  • Knowledge of Kubeflow, Openshift AI


What You’ll Do


As a MLOps engineer your role will be to:


  • Design, Creating, maintaining and Monitor ML pipelines to ML models
  • Perform research on modeling real-world problems,
  • Research and document MLOps solution scenarios
  • Contribute Feature Engineering tasks


Why Intertech


At Intertech, we are trying to make sure that you work free of worries with the benefits we offer;


📔 Continuous learning and development opportunities by working with experts and training facilities via Inter Academy,

💫 Opportunity to work in international projects,

🚀 Opportunity to work with new & trend technologies,

🕛 Flexible working hours (08:00-17:00, 09:00-18:00, 10:00-19:00),

🎆 Recreation space: Gym, PlayStation, pinball, table tennis, basketball court, coffee shop & cafe, resting rooms.

👕 No dress code.

🎉 Birthday Leave

💬 Language Allowance

🏢 5 Different Hub Offices (Bilişim Vadisi/İstanbul, Kurtköy Teknopark/İstanbul, Bilkent CYBERPARK/Ankara, DEPARK/İzmir, Esentepe Denizbank Genel Müdürlük)


Our technology and innovative products have been recognized by the many prestigious national and international awards since 1987. Here's a selection of our latest achievements:


🥇 NGN IT Vision – The Cloud Hosting Project of the Year - 2023

🥇 Bilişim 500 – Turkey Based Producer – (Software Category – Grand Prize) - 2023

🥇 Bilişim 500 – Turkey Based Sectoral Software – (Software Cateogry – Grand Prize) -2023

🥇 Bilişim 500 – Contribution to Turkish Economy Special Award (Software Category – Grand Prize) - 2023

🥇 CX Awards – Best Use of Technology (Banking Sector) – 2023


📢Contact us


  • WebSite : http://www.intertech.com.tr
  • LinkedIn: http://www.linkedin.com/company/intertechteyasam
  • Instagram: http://www.instagram.com/intertechteyasam
  • Youthall: https://www.youthall.com/en/intertech/
  • Anlatsın.com: https://anlatsin.com/intertech
  • Spotify: Spotify – Intertech


You will be a member of a dynamic team and a big family. We say join us!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Python (Programming Language)MLOps (Machine Learning Operations)Product Lifecycle ManagementKubeflowSQL (Programming Language)Cloud TechnologiesComputer ScienceData PipelinesMachine LearningOpenShiftPhysicsFeature EngineeringTechnical Engineering

Other Skills

  • Mathematics
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