We are looking for a talented AI Engineer to design, develop, and deploy AI-driven solutions that address real business challenges. The successful candidate will collaborate closely with software engineers, product managers, and other stakeholders to build scalable, secure, and high-performance AI systems. This role requires hands-on experience with various AI and machine learning techniques, as well as the ability to integrate models into applications effectively.
Key Responsibilities
- Design, develop, and deploy AI and machine learning models for production environments.
- Work with both structured and unstructured data, including text, images, and logs.
- Implement and fine-tune machine learning, deep learning, and natural language processing (NLP) models.
- Integrate AI models into web or mobile applications using APIs.
- Optimize models for performance, accuracy, and scalability.
- Monitor model performance continuously and retrain models as necessary.
- Ensure adherence to data security, privacy standards, and ethical AI practices.
- Document models, workflows, and technical decisions clearly and thoroughly.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong proficiency in Python programming.
- Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Knowledge of NLP, computer vision, or generative AI, including large language models (LLMs).
- Experience working with APIs and integrating AI solutions into applications.
- Familiarity with databases, both SQL and NoSQL.
- Understanding of model evaluation techniques and performance metrics.
Preferred Qualifications
- Experience with large language models and platforms such as OpenAI, HuggingFace, LangChain, or Retrieval-Augmented Generation (RAG).
- Knowledge of MLOps practices, including model deployment and monitoring.
- Cloud computing experience with providers like AWS, Azure, or Google Cloud Platform.
- Background in chatbot development or AI-driven automation.
- Understanding of data pipelines and ETL (Extract, Transform, Load) processes.
Benefits and Work Environment
This position offers the opportunity to work on cutting-edge AI projects within a collaborative and growth-focused environment. We provide competitive compensation along with learning and development opportunities to support your professional growth.
Job Rewards and Benefits
- Paid leaves
- HR and inflation bonuses
- Promotion and salary increments
- Medical benefits (details to be determined)
- Employee Equity Funds Program (EEFP)
- Weekends off (Saturday and Sunday)
- Transportation allowances available for female staff
- Complimentary dinner and tea/green tea served twice daily
Additional Information
- Job type: Full-time
- Working hours: 3:00 PM to 12:00 AM (night shift)
- Work location: On-site
Applicants should be comfortable with the specified working hours and commute to the office location. During the application process, candidates will be asked about their years of experience as an AI Engineer, current and expected salary, commute feasibility, and willingness to work the night shift.