Machine Learning Engineer

Company Description
EsyConnect is a comprehensive platform that simplifies recruitment by bridging the communication gap between employers and job seekers. It provides tools for streamlined job postings, application management, candidate shortlisting, and online assessments, making the hiring process more efficient. With integrated talent management systems, EsyConnect enhances decision-making and optimizes workflows. Its features ensure a seamless hiring experience, reducing time-to-hire while improving candidate engagement. EsyConnect delivers value to organizations by supporting effective talent acquisition and communication strategies.
Role Description
This is a full-time remote role for a Machine Learning Engineer. The role involves developing, testing, and optimizing machine learning models to address complex problems, implementing algorithms in scalable systems, and leveraging statistical tools to analyze data. The engineer will work collaboratively with cross-functional teams to harness data-driven insights and design technologies that improve user experiences on the EsyConnect platform.
Qualifications

• Experience in Machine Learning, including Pattern Recognition and working with Neural Networks
• Knowledge of core Computer Science concepts such as data structures, Algorithms, and system design
• Strong foundation in Mathematics, particularly in Statistics and probability
• Proficiency in popular libraries, frameworks, and languages for machine learning (e.g., Python, TensorFlow, PyTorch)
• Problem-solving skills with the ability to design and optimize models for real-world applications
• BS, MS, or PhD in Computer Science, Data Science, or a related field
• Familiarity with cloud-based platforms for machine learning deployment is a plus