ML Engineer
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| Company Name | Jobgether |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Sweden |
| Qualifications | None / No Formal Education |
| Experience | 5 Year+ |
Job Overview
Jobgether is actively seeking an ML Engineer to join its innovative team. In this role, you will be instrumental in developing and deploying machine learning solutions that power an AI-driven career coach and matching platform, aiming to revolutionize the job search experience for remote professionals globally.
Company Overview
Jobgether is an innovative AI-powered career coach and matching platform dedicated to transforming the job search experience. They empower remote professionals with personalized strategies, enhanced visibility, and curated job matches aligned with their skills and career goals. By leveraging AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database, Jobgether aims to be the world’s leading platform for remote talent, connecting individuals to truly matching roles and fostering intentional career guidance.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: 5 Year+
Key Responsibilities
- Design, develop, and deploy robust machine learning models for job matching and candidate profiling.
- Implement and optimize advanced AI algorithms to enhance the platform’s career coaching capabilities.
- Analyze large datasets to extract meaningful insights and drive continuous model improvement.
- Collaborate closely with cross-functional teams to seamlessly integrate ML solutions into new and existing product features.
- Monitor and maintain the performance and accuracy of deployed models in production environments.
- Research and evaluate emerging ML technologies and methodologies to stay at the forefront of innovation.
Requirements
- Proven experience in machine learning, deep learning, and predictive modeling.
- Proficiency in programming languages such as Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Strong background in data analysis, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps principles.
- Excellent problem-solving skills and the ability to thrive in an agile, fast-paced environment.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts.
Benefits
- Opportunity to work on cutting-edge AI technology that is revolutionizing the global job market.
- Join a dynamic, mission-driven team dedicated to making a significant impact.
- Enjoy a flexible remote work environment that promotes work-life balance and autonomy.
- Access to continuous learning resources and professional development opportunities.
- Contribute to a platform that empowers remote professionals worldwide.
- Competitive salary and clear pathways for career growth within the company.