Company Description:
Oko is a cutting-edge software solution that leverages the latest advancements in Artificial Intelligence and Machine Learning to simplify and streamline communication between logistics companies and their clients. At Oko, we believe that communication is the key to success in the logistics industry. Our innovative tool empowers logistics companies to provide their clients with unparalleled service and support, helping them to build stronger relationships, lower shipment costs, and enhance customer satisfaction.

Summary:
We are seeking a Senior Machine Learning Engineer to join our team. As a Senior Machine Learning  Engineer, you will be responsible for designing, building, and maintaining our data infrastructure. You will be laying the foundation for future data scientists, analysts, and software engineers to ensure that our data is accurate, reliable, and easily accessible.

Responsibilities:

• Design, build, and maintain our data infrastructure, including data pipelines, ETL processes, and databases
  Collaborate with data scientists, analysts, and software engineers to ensure that our data is accurate, reliable, and easily accessible
• Develop and implement data governance policies and procedures to ensure data quality and security
  Monitor and troubleshoot data issues, and work with the team to resolve them quickly
• Stay up-to-date with emerging trends and technologies in data engineering, and make recommendations for continuous improvement
• Communicate effectively with technical and non-technical stakeholders, including presenting complex data engineering concepts to non-technical team members

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  At least 5 years of experience in data engineering, with a track record of designing and building complex data systems
• Strong programming skills in Python, Java, or other languages commonly used in data engineering
• Experience with big data technologies such as Hadoop, Spark, or Kafka
• Expertise in data modeling, schema design, and SQL
• Familiarity with cloud-based data platforms, such as AWS or Azure
• Knowledge of data governance, data security, and data privacy best practices
• Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders
• Strong analytical and problem-solving skills, with the ability to think creatively to solve complex data engineering challenges