Deskripsi Pekerjaan
Join ScienTec Consulting as a Software Engineer specializing in AI and Full-Stack Development, where you'll transform complex data into intelligent, scalable solutions. You'll architect and implement cutting-edge AI-driven applications using Python, Lakehouse data pipelines, and MLflow frameworks. This role bridges the gap between machine learning innovation and robust full-stack systems, enabling you to build production-ready applications that drive measurable business impact. Collaborate with cross-functional teams to translate requirements into technically elegant solutions while maintaining best practices in software engineering, cloud integration, and data security.
As a key contributor to our AI initiatives, you'll work with large-scale datasets, optimize model performance, and ensure seamless deployment of ML workflows. The ideal candidate thrives in dynamic environments where technology and creativity intersect, leveraging full-stack expertise to create end-to-end solutions that solve real-world challenges. If you're passionate about harnessing AI to build transformative digital experiences and want to advance your career in a forward-thinking organization, this opportunity is your gateway to innovation.
Tanggung Jawab
- Design and develop scalable AI-driven full-stack applications using Python and modern web frameworks
- Build and optimize Lakehouse data pipelines for efficient data processing and model training
- Implement MLflow workflows for experiment tracking, model versioning, and deployment automation
- Integrate machine learning models into production systems with robust API endpoints
- Collaborate with data scientists to translate ML models into deployable full-stack solutions
- Ensure system scalability, security, and performance through cloud-native architecture
- Participate in code reviews and contribute to technical documentation
- Stay current with emerging AI/ML technologies and full-stack development practices
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 3+ years of experience in full-stack development with Python frameworks
- Proficiency in building data pipelines using Apache Spark, Databricks, or similar Lakehouse technologies
- Hands-on experience with MLflow for managing machine learning lifecycles
- Strong understanding of RESTful API design and microservices architecture
- Familiarity with cloud platforms (AWS/Azure/GCP) and containerization technologies
- Experience with frontend frameworks (React, Angular, or Vue.js)
- Strong problem-solving skills and ability to work in agile environments