MLOps Engineer

Deadline: 13 February 2021

Employment term: Permanent

Category: Software development

Job type: Full time

Location: Yerevan

Job description:

DataArt is a global software engineering firm. With over 20 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge, and ongoing technology research, we help clients create custom software that improves their operations and opens new markets. DataArt started out as a company of friends and has a special culture that distinguishes it from other IT outsourcers, such as:

- Flat structure. There are no “bosses” and “subordinates”.

- We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.

- Flexible schedule, ability to change projects, to work from home, to try yourself in different roles.

- Minimal bureaucracy and micromanagement, convenient corporate services.

 

Required qualifications

  • Experience in administering cloud-based platforms (AWS, GCP, Azure)
  • Understanding the principles of building distributed and serverless systems
  • Knowledge of components and services of one or more cloud-based platforms (AWS, GCP, Azure)
  • Understanding the main principles of container-based platforms and tools
  • Experience working with/administering Kubernetes in its various flavours (e.g. on-prem, AWS EKS, Google K8s, Azure, OpenShift )
  • Experience in implementing infrastructure as code (e.g. Terraform, AWS CloudFormation, GCP Cloud Deployment Manager, Helm)
  • Experience with/theoretical understanding of building continuous delivery/continuous deployment
  • Knowledge of development methodologies, particularly with Agile/Scrum
  • Good spoken English

Nice to Have

  • Understanding of general ML/AI landscape and major areas of applications
  • Understanding of typical ML/AI software development lifecycle (e.g. experiment management, model training, hyperparameters optimisation, model serving)
  • Knowledge/theoretical understanding of typical ML tools and frameworks (e.g. Jupyter, TensorFlow, Keras, Pytorch, Katib, etc.)
  • Experience with one or more MLOps platforms (AWS Sagemaker, Google AI TFX, Kubeflow, MLFlow, Domino Labs, neu.ro etc.)
  • Experience with orchestration/configuration management tools (Ansible, Chef, etc.)
  • Main cloud providers’ certification (AWS, Azure, GCP)

Required candidate level: Mid level

Additional information

Please submit your application to [email protected] mentioning the position title in the subject line. 

We will be in touch with you shortly. Thanks! 

Please clearly mention that you have heard of this job opportunity on staff.am

Professional skills

DevOps

Machine Learning

Soft skills

Critical thinking

Teamwork

Communication

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OUR CULTURE AND PRINCIPLES

People and relationships is the foundation on which we have built our success. We invest in long-term relationships, with our colleagues and clients alike. We’re a global technology consultancy with deep tech and domain expertise. We embrace change and foster an environment of experiment and learning which lets us illuminate our talents and apply them within our ecosystem.

PEOPLE FIRST: our relationships with clients and colleagues are based on mutual respect, no matter our differences.

EXPERTISE: open up your potential within DA ecosystem.

FLEXIBILITY: experiment and learn, embrace change.

TRUST: is at the core of our relationships with partners and colleagues. We lead via context and let professionals to do their work the best they can.

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We are experts in

  • Finance
  • E-commerce and online-travel commerce
  • Healthcare & Life sciences
  • Media & Entertainment
  • IoT/M2M and wearable devices
  • Telecom
  • Retail & Distribution
  • iGaming
  • Cloud solutions
  • Machine learning
  • Big Data
  • Blockchain
  • Mobile technology
  • UX/UI design

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Benefits

Medical insurance
Free language courses
Teambuilding and corporate events
Local and online training package
Complimentary tea, coffee and refreshments
Flexible working schedule
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Special day-offs
Staff referral program
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Business trips

Contact details

Phone: +37495856945

Address: Dzorapi 70/3, 7 floor Yerevan, Armenia, Yerevan, Armenia

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