
201 - 500 employees
Founded 2023
👥 HR Tech
🎯 Recruiter
☁️ SaaS
HR Tech • Recruitment • SaaS
esyconnect career is an employer-focused Applicant Tracking System (ATS) and recruitment portal that lets companies create and publish job vacancies, manage applicants through configurable candidate stages, and automatically provision a public careers page. The platform provides a single employer workspace for drafting and publishing jobs, tracking application statuses (Received, Reviewing, Shortlisted, Interview, Rejected, Hired), and searchable job pages with JobPosting structured data for role, organization, location, and salary. It is positioned as a tool to help employers recruit smarter and hire with confidence via a web-based portal.
🔥 1 hour ago
Where this job comes from
Posted on esyconnect career's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on esyconnect career's site. Checked 43 minutes ago.

201 - 500 employees
Founded 2023
👥 HR Tech
🎯 Recruiter
☁️ SaaS
HR Tech • Recruitment • SaaS
esyconnect career is an employer-focused Applicant Tracking System (ATS) and recruitment portal that lets companies create and publish job vacancies, manage applicants through configurable candidate stages, and automatically provision a public careers page. The platform provides a single employer workspace for drafting and publishing jobs, tracking application statuses (Received, Reviewing, Shortlisted, Interview, Rejected, Hired), and searchable job pages with JobPosting structured data for role, organization, location, and salary. It is positioned as a tool to help employers recruit smarter and hire with confidence via a web-based portal.
• Design, develop, and implement machine learning models and algorithms to solve complex business problems • Collaborate with cross-functional teams to identify and prioritize AI/ML opportunities • Preprocess and clean large datasets, perform feature engineering, and conduct exploratory data analysis • Develop and maintain scalable ML pipelines for model training, evaluation, and deployment • Optimize existing ML models for improved performance and efficiency • Stay up-to-date with the latest advancements in AI/ML technologies and implement best practices • Contribute to the development of AI/ML strategies and roadmaps • Mentor junior team members and share knowledge through documentation and presentations
• Master's or Ph.D. in Computer Science, Machine Learning, or a related field • 3+ years of experience in AI/ML development • Strong proficiency in Python and experience with R or Java • Expertise in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn • Experience with deep learning techniques, natural language processing, and computer vision • Familiarity with big data technologies like Hadoop and Spark • Proficiency in working with cloud platforms (AWS, Azure, or GCP) • Strong understanding of statistical analysis and mathematical concepts • Experience with data preprocessing, feature engineering, and model deployment • Proven track record of implementing and deploying ML models in production environments • Excellent problem-solving skills and attention to detail • Strong communication skills and ability to explain complex concepts to non-technical stakeholders • Experience with version control systems, preferably Git • Knowledge of current AI/ML trends and best practices • Relevant certifications are a plus
• Employees can work remotely
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