You will design, develop, and implement automation solutions that improve the efficiency of different processes, using your expertise in data analysis, machine learning, and engineering knowledge.
You will collaborate with the Data Science and Software Engineering teams to identify areas of automation and optimization within our systems, with a focus on operational efficiency and reducing manual interventions.
You will lead automation projects aimed at complex systems fine-tuning with market change, applying data-driven techniques to bring growth to the automated system.
You will work with different stakeholders to define project goals and deliverables, ensuring that the automation projects align with the goals.
You will stay up to date with industry trends, the latest technologies, and best practices in machine learning, optimization techniques, data analysis, and generative AI, and bring new ideas and innovations to the team.
Requirements & Skills:
At least 1 year of experience in software engineering, data science, Artificial Intelligence, Machine Learning, or similar fields.
Computer Science fundamentals in data structures and algorithms
Proficiency in SQL, Python, and at least one backend language like Go, Scala, Java, C++, or others
Proficiency in data processing frameworks such as Spark or Flink
Proficiency in ML and DL frameworks such as XGBoost or Pytorch
Understanding of optimization concepts and techniques, with experience in applying optimization methods to improve system performance.
Experience with large-scale systems and DevOps best practices such as CI/CD
