Apply

MLOps Engineer

Posted 2024-11-07

View full description

💎 Seniority level: Senior, At least 3 years

📍 Location: Italy

🔍 Industry: AI solutions for regulated industries

🏢 Company: iGenius

🗣️ Languages: English

⏳ Experience: At least 3 years

🪄 Skills: AWSGCPKubernetesMachine LearningAzureCollaborationDevOps

Requirements:
  • At least 3 years of experience as MLOps Engineer or DevOps Engineer.
  • Proficiency with GCP, Azure or AWS.
  • Knowledge of Data Versioning.
  • Familiarity with vector Database.
  • Hands-on experience in Model Lifecycle.
  • Proficiency with Orchestrator tool.
  • Knowledge of Model Serving and Deployment.
  • Expertise with Kubernetes.
  • Experience in managing Infrastructure for horizontal scaling of deep learning models.
  • Experience with HPC is a plus.
Responsibilities:
  • Participate in the end-to-end process of productionizing machine learning models.
  • Involves model deployment, monitoring, and maintaining performance.
  • Work with large language models, implementing near real-time and batch inferences.
  • Address data drift and model drift in production environments.
Apply

Related Jobs

Apply
🔥 MLOps Engineer
Posted 2024-10-21

📍 Dubai, London, Malta

🏢 Company: Eqvilent

  • Strong knowledge of Python
  • Familiarity with Docker
  • Basic understanding of machine learning concepts and techniques

  • Design and build ELT pipelines for data processing and analysis.
  • Construct MLOps pipelines for automated retraining and validation of models.
  • Implement CI/CD pipelines for deploying models and ML services.
  • Create services for monitoring ML models in production.

PythonMachine LearningCI/CD

Posted 2024-10-21
Apply
Apply

📍 UK, Europe, Americas

🔍 AI/Automation

🏢 Company: Mimica👥 1-10💰 $650.6k Seed on 2021-11-15Food and BeveragePackaging Services

  • Background in solving complex technical challenges at the intersection of Computer Science, Software Development, and Data/ML Engineering.
  • Proficiency with Python and a desire to work with various technologies such as MongoDB to build scalable AI/ML production systems.
  • Experience in designing, building, and maintaining data collection tools, caching/storage systems, and pipelines.
  • Knowledge of best practices for performance optimization, memory management, model scalability, as well as data storage and quality tuning.
  • Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes, and implement effective solutions.
  • Drive to continually develop your skills, improve team processes, and reduce technical debt.
  • Fluency in English and ability to effectively communicate abstract ideas, complex concepts and trade-offs.

  • In this role, you will own the backend of our workflow mapping product, consisting of a database containing raw clicks and keystroke data, a web app (where users label data), and machine learning scripts (CV, NLP, etc.).
  • You will build pipelines and core components of our ML systems, deliver new AI features, and drive improvements to our infrastructure and services.
  • As a founding member of our engineering team, you'll have the opportunity to shape our technical direction, processes, and culture.
  • Part of your day-to-day will include writing algorithms to process complex data structures, developing data and ML training pipelines, and working closely with Data Scientists and ML Engineers.

Project ManagementPythonSoftware DevelopmentMachine LearningMongoDBAlgorithmsData Structures

Posted 2024-09-20
Apply