Artificial Intelligence Engineer

We’re looking for an AI Engineer who can take intelligent systems from concept to production.

This role is about applying AI to solve real problems—building systems that learn, adapt, and deliver measurable outcomes. It requires a mix of strong engineering, applied machine learning, and practical decision-making.

Key Responsibilities

• Design and develop AI-driven solutions using machine learning and deep learning techniques
• Build, train, and deploy models for real-world applications (NLP, computer vision, recommendation systems, etc.)
• Develop and maintain end-to-end AI/ML pipelines
• Integrate AI models into production systems via APIs and services
• Work with large datasets for preprocessing, feature engineering, and validation
• Collaborate with product, data, and engineering teams to define and implement use cases
• Monitor model performance and continuously improve accuracy and efficiencyWhat We’re Looking For
• Strong foundation in machine learning, deep learning, and AI concepts
• Proficiency in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn)
• Experience deploying models into production environments
• Understanding of data structures, algorithms, and system design
• Experience working with APIs and backend integration
• Strong problem-solving and analytical thinkingGood to Have
• Experience with NLP (transformers, LLMs) or computer vision
• Familiarity with MLOps tools (MLflow, Kubeflow, etc.)
• Exposure to cloud platforms (AWS, Azure, GCP)
• Experience with big data tools (Spark, Hadoop)