Overview

We are seeking a Senior Data DevOps Engineer (MLOps) with strong machine learning and Google Cloud Platform experience to design, develop, and implement continuous deployment pipelines for ML models.

Responsibilities

  • Design, develop, and implement MLOps pipelines for the continuous deployment and integration of ML models
  • Collaborate with data scientists to understand model requirements and optimize deployment processes
  • Automate the training, testing, and deployment processes for machine learning models
  • Monitor and maintain models, ensuring optimal performance, accuracy, and reliability
  • Implement best practices for version control, model reproducibility, and governance
  • Optimize machine learning pipelines for scalability, efficiency, and cost-effectiveness
  • Troubleshoot and resolve issues related to model deployment and performance
  • Ensure compliance with security and data privacy standards in all MLOps activities
  • Stay up-to-date with the latest MLOps tools, technologies, and trends
  • Provide support and guidance to other team members on MLOps practices and performance feedback

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field
  • 3+ years of experience in MLOps, DevOps, or a related field
  • Understanding of machine learning principles and model lifecycle management
  • Proficiency in Python, with hands-on experience in TensorFlow, PyTorch, or Scikit-learn
  • Knowledge of CI/CD pipelines, automation tools, and version control systems like Git
  • Strong problem-solving skills and ability to troubleshoot complex issues
  • Experience with monitoring tools and practices for model performance in production
  • Ability to work collaboratively in cross-functional teams
  • Experience with Google Cloud Platform and its respective machine learning services
  • Familiarity with containerization and orchestration tools such as Composer and Kubernetes
  • Knowledge of cloud data platform architecture, infrastructure, maintenance, and optimization

Armenia

We connect like-minded people

  • Delivering innovative solutions to industry leaders, making a global impact  
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home 
  • Opportunity to work abroad for up to two months per year 
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events   

We invest in your growth

  • Leadership development, career advising, soft skills and well-being programs 
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to ••••'s internal learning database
  • Free English classes with certified teachers    

We cover it all

  • Participation in the Employee Stock Purchase Plan 
  • Monetary bonuses for engaging in the referral program 
  • Comprehensive medical & family care package   
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)

Armenia (Remote)

This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.

Armenia (About ••••)

•••• is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.