Стек и навыки
- SQL
- AWS
- GCP
- Python
- Java
- Azure
- Jenkins
- IoT
- NumPy
- Pandas
- OCR
- Data Governance
Requirements
- Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field with 3+ years of experience as an AI Engineer.
- Proficient in Python and advanced libraries (e.g., Scikit-Learn), with strong OOP and data structures knowledge.
- Experience with Generative AI and large language models (LLMs), and architecting complex multi-agent systems.
- Basic knowledge of software engineering practices, programming languages (Java, SQL), and cloud technologies (GCP, AWS).
- Strong analytical, problem-solving, and communication skills, with the ability to work independently and in teams.
- Skills: SQL, AWS, Azure, GCP, Jenkins, Git, Agile, CI/CD, Machine Learning, Web security, Internet of Things, E-commerce, Generative AI, Large Language Models, Python, Java, NumPy, Pandas, Scikit
- Experiences: Mid-level
- Employments: Full-time
- Benefits: Medical benefits, 13th month pay, Flexible working hours, Learning budget, Paid time off
Description
- Collaborate with stakeholders to identify business needs and create production-ready AI solutions.
- Build and maintain IT infrastructure for AI development, including cloud platforms and containerization.
- Transform AI models into production-ready APIs and software applications, ensuring performance and scalability.
- Document AI processes in line with data governance policies and participate in Agile ceremonies.
- Stay updated on AI trends and integrate advanced techniques into solutions.
Benefits
- Premium medical package and lunch tickets.
- 13th salary and yearly bonuses.
- Flexible working program with remote work options.
- Access to learning platforms and professional development opportunities.
- Supportive culture promoting work-life balance and career growth.