Company Description
EsyConnect is an innovative recruitment platform designed to streamline the hiring process and improve communication between employers and job seekers. It offers advanced features such as simplified job posting, seamless application management, and effective candidate profiling tools. Employers benefit from integrated talent management capabilities, enabling efficient workflows and data-driven decision-making. By enhancing candidate experience and reducing time-to-hire, EsyConnect has become an essential solution for modern recruitment and talent acquisition.
Role Description
This is a full-time remote role for a Cloud Machine Learning Engineer. In this role, you will design, develop, and deploy machine learning models and algorithms on cloud platforms, working collaboratively with interdisciplinary teams. You will be responsible for implementing data preprocessing workflows, building predictive models, and analyzing performance metrics to improve algorithms. Additionally, you will support scalable infrastructure development to optimize and automate machine learning processes across cloud environments.
Qualifications
- Strong knowledge of Machine Learning and Deep Learning concepts, frameworks, and application development
- Proficiency in foundational fields such as Computer Science, Statistics, and Algorithms
- Experience with designing and optimizing systems for cloud platforms
- Strong problem-solving and critical thinking skills, with experience in data preprocessing and model evaluation
- Excellent communication and teamwork abilities, with the capacity to collaborate across diverse technical teams
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure is a plus
- Master's or PhD in Machine Learning, Computer Science, or a related field is preferred but not required
