As a ML Engineer at Tikal, you will be involved in the most interesting and challenging projects for our clients. You will help customers apply techniques and set infrastructure for building reliable AI based systems, ML models pipelines and research environments.

Responsibilities:

• Apply software-engineering methods and best practices in Machine Learning systems
• Develop data pipelines to provide training and prediction data for the various models.
• Build microservices systems to allow streaming and online ML predictions.
• Apply CI/CD/CT (Continuous Training) pipelines as part of the SDLC of the models.
• Monitor models performance in production
• Provide infrastructure for research, development and deployment of models.
  
  

Requirements:

• At least 5 years of experience working as a Backend/ Data Engineer, Python as a principal language
• Industry experience with Data technologies - SQL, Data pipelines
• Understanding of ML concepts - supervised/unsupervised learning, feature engineering, model performance metrics
• Experience in deploying ML models to production - CI/CD/CT, model & data monitoring