job description
Join Sefar as an AI Solution Engineer and be at the forefront of transforming industries with next-generation artificial intelligence. Based in the vibrant and inspiring environment of Bali, youâll collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions that solve real-world challenges.
This is a unique opportunity to work on groundbreaking projects while enjoying a competitive salary, career growth opportunities, and flexible work arrangements that empower you to thrive both professionally and personally. Whether you're optimizing machine learning models, integrating AI into enterprise systems, or pioneering new applications, your work will shape the future of technology.
If youâre passionate about AI innovation and eager to make an impact in a dynamic, forward-thinking company, weâd love to hear from you. Apply today and take the next step in your AI career in one of the worldâs most sought-after work destinations.
Responsibility
- Design, develop, and implement AI/ML models and algorithms to solve complex business problems.
- Collaborate with data scientists, engineers, and stakeholders to integrate AI solutions into existing systems.
- Optimize and fine-tune AI models for performance, scalability, and accuracy in production environments.
- Develop and maintain APIs and microservices to enable seamless AI system integration.
- Conduct data analysis and preprocessing to ensure high-quality inputs for AI models.
- Stay updated with emerging AI trends, tools, and frameworks to drive continuous innovation.
- Provide technical guidance and mentorship to junior team members on AI best practices.
- Document AI solutions, workflows, and technical specifications for internal and client use.
Qualifications
- Bachelorâs or Masterâs degree in Computer Science, AI, Machine Learning, or a related field.
- Proven experience (3+ years) in AI/ML development, NLP, or computer vision.
- Proficiency in Python, TensorFlow, PyTorch, or similar AI frameworks.
- Strong understanding of data structures, algorithms, and cloud platforms (AWS, GCP, Azure).
- Experience with API development, Docker, and Kubernetes for deploying AI models.
- Excellent problem-solving and analytical skills with a data-driven mindset.
- Ability to work in agile environments and manage multiple projects simultaneously.
- Strong communication and collaboration skills to bridge technical and non-technical teams.