AI Engineer

Main Responsibilities

• Design & Develop machine learning and deep learning models to power business applications
• Collaborate with stakeholders (data scientists, software engineers, product teams) to identify AI use cases
• Pre‑process Data / Engineer Features and refine models for optimal performance
• Deploy Models via MLOps pipelines (CI/CD, monitoring, version control)
• Maintain & Improve AI systems, ensuring scalability, robustness, and continuous refinement
• Stay Updated on latest AI research, tools, and industry trends

Job Requirements

Academic Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, AI, Engineering, or related fields

Experience & Technical Skills:

• 2–5 years’ experience in AI/ML development
• Proficient in Python and ML libraries: TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas
• Good grasp of ML algorithms , data pipelines, software development best practices
• Experience with cloud platforms (AWS, GCP or Azure) for model training and deployment
• Familiar with Docker , Git , and CI/CD workflows

Preferred (but not mandatory):

• Exposure to NLP , Computer Vision , or Generative AI
• Experience with data orchestration tools like Airflow , Kafka
• Familiarity with MLOps frameworks (e.g., Kubeflow, MLflow)