Machine Learning Engineer
Loop- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, with a preference for those holding a Master’s degree. Experience with AI development, machine learning, and data analysis is required, along with proficiency in programming languages such as Python or Java. Familiarity with big data technologies and cloud computing platforms is also desired.
As an AI Development Engineer, you will be responsible for designing, developing, and programming methods, processes, and systems to consolidate and analyze unstructured data sources, generating actionable insights for client services and product enhancement. You will interact with product and service teams to identify data analysis needs and conduct experiments, developing and coding software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from diverse sources. You will contribute to digital transformation projects and provide comprehensive training to fresh graduates, ensuring their success in the role.
Industrial automation and information technology solutions
Rockwell Automation provides hardware, software, and services aimed at improving operational efficiency and sustainability in various industries, including manufacturing and food and beverage. Their products work by integrating advanced technology to streamline processes, enhance reliability, and reduce operational costs. This includes alarm notification software, cybersecurity solutions, and computerized maintenance management systems. What sets Rockwell Automation apart from competitors is their strong emphasis on sustainability and tailored solutions for specific industry needs, helping clients meet environmental standards and improve productivity. The company's goal is to drive better outcomes for clients through technological innovation and comprehensive support.