CCTech - Artificial Intelligence Engineer - NLP/Computer Vision

Role Overview :

Key Responsibilities

Development & Implementation :

• Develop, train, and optimize machine learning models using Python and standard ML frameworks.
• Work on AI use cases across areas such as NLP, Computer Vision, or predictive analytics.
• Implement data preprocessing, feature engineering, and model evaluation workflows.
• Integrate AI models into applications, APIs, or pipelines for production use.
• Debug and troubleshoot model performance and data-related issues.
  

Collaboration & Delivery

• Work closely with team leads and senior engineers to translate requirements into AI solutions.
• Participate in sprint planning, daily stand-ups, and code/model reviews.
• Collaborate with data engineering, QA, and DevOps teams for smooth deployments.
• Support testing, validation, and tuning of AI models in staging and production environments.
  

Documentation & Testing

• Document model logic, data assumptions, and experiment results.
• Write basic unit tests and validation checks for data and models.
• Assist in improving AI development processes, reusability, and efficiency.
  

Requirements

Required Skills & Experience :

• 35 years of experience in AI/ML or data-driven application development.
• Proficiency in :
• Programming : Python.
• ML Frameworks : scikit-learn, TensorFlow, or PyTorch.
• AI Domains : NLP, Computer Vision, or predictive analytics.
• Data Handling : Pandas, NumPy, structured & unstructured data.
• Familiarity with REST APIs and integrating models into applications.
• Basic understanding of Agile/Scrum delivery practices.
• Exposure to Docker, CI/CD pipelines, or cloud platforms (AWS/Azure/GCP) is a plus.
  

Preferred Qualifications

• Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.
• Experience working with LLMs, prompt engineering, or GenAI APIs (OpenAI / Azure OpenAI).
• Familiarity with vector databases or RAG-based workflows is an advantage.
• Exposure to enterprise or industrial AI use cases is a plus.
  

Soft Skills

• Strong analytical and problem-solving mindset.
• Clear communication and collaboration skills.
• Willingness to learn new AI technologies and tools.
• Responsible, detail-oriented, and delivery-focused.