At a Glance
- Tasks: Build and scale machine learning models using Databricks, Spark, and R.
- Company: Bailey Abbott, a forward-thinking tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Join a dynamic team and turn data insights into impactful solutions.
- Qualifications: Strong software engineering skills and experience with machine learning.
The predicted salary is between 54000 - 66000 $ per year.
Bailey Abbott is seeking a Machine Learning Engineer with a strong software engineering foundation to productionise, scale, and maintain advanced analytical and predictive models. You will connect data science experiments with robust engineering practices, turning insights into reliable services and scalable workflows.
You will design data pipelines and automated ML lifecycles within Databricks, use Apache Spark and R, and collaborate with data scientists, data engineers, architects.
Production ML Engineer employer: TaskVerse
TaskVerse is an attractive employer due to its focus on collaboration and continuous learning, providing employees with opportunities for personal and professional development. The company values diverse perspectives and fosters a supportive work environment that encourages innovation and positive change. Employees can expect to engage in meaningful projects that have a real impact on clients and the industry.
