Key Duties & Responsibilities

• AI & Machine Learning Development: Design, build, and deploy AI/ML applications and generative AI solutions using Python, modern web programming frameworks, and structured relational databases (SQL/MySQL/PostgreSQL).
• System Integration & Modernization: Facilitate seamless integration of AI applications and agents with existing e-learning platforms and architecture; troubleshoot and resolve technical application issues effectively.
• Data Engineering & Workflow Orchestration: Build efficient data pipelines, develop data-driven web dashboards/chat interfaces, and leverage orchestration tools, vector databases, and LLM APIs.
• Risk & Security Management: Enforce strict data confidentiality protocols when handling restricted process data. Proactively identify potential issues—including data security, ethical/legal compliance, system reliability, vulnerabilities, and performance bottlenecks—and consult with senior team members in a timely manner.
• Deployment & Best Practices: Containerize and deploy software applications using Docker and Git version control; support systems in cloud environments.
• Continuous Improvement: Continuously monitor emerging AI technologies, methodologies, and compliance frameworks to expand application capabilities and keep systems up-to-date.

Requirements:

• Higher Diploma / Degree in Information Technology or related subjects
• At least 3 years of post-qualification Information Technology experience
• Proficiency in developing AI/ML applications in Python
• Strong knowledge of web programming, structured data query tools, and relational databases (SQL / MySQL / PostgreSQL)
• Solid foundation in system integration, data engineering, knowledge management, collaborative tools, and standard development environments
• Hands-on exposure to orchestration tools (e.g., Dify, n8n, LangChain, LlamaIndex), Retrieval-Augmented Generation (RAG), vector databases, LLM APIs, and AI Agents
• Experience building data-driven dashboards or chat interfaces using tools like Streamlit or Dash
• Practical experience deploying applications using Docker and version control via Git
• Familiarity with NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, or Keras
• Knowledge or experience utilizing cloud services
• Strong problem-solving ability with a proactive approach to risk identification and timely communication with seniors.
• High adherence to data privacy, confidentiality, and security standards.
• Commitment to continuous learning regarding AI limitations, ethical frameworks, and technology trends.

If interested for the above position, please send detailed resume with current and expected salary as well as date of availability by sending email to @clts.com

For more job opportunity, please visit our website: www.clts.com

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