Responsible for designing, developing, and deploying AI-powered solutions across the company.
Focuses on building and fine-tuning AI models, creating scalable AI applications, and ensuring their seamless integration into business operations.
Collaborates closely with data scientists, engineers, and business leaders to deliver AI-driven innovations that enhance efficiency, automation, and decision-making.
Develops, trains, and optimizes machine learning and deep learning models.
Builds AI-driven applications by integrating machine learning models, natural language processing, and computer vision.
Works with structured and unstructured data by implementing data cleaning, transformation, and feature extraction techniques.
Collaborates with business teams to gather requirements and translate them into AI-driven solutions.
Deploys AI models into production environments using cloud-based infrastructure and MLOps best practices.
Continuously monitors AI models' performance and implements tracking mechanisms.
Ensures AI solutions adhere to legal, regulatory, and ethical guidelines.
Stays updated on the latest AI trends and tools.
Develops technical documentation, best practices, and training materials to support knowledge sharing.

Minimum 4 years of hands-on experience developing, training, and deploying AI/ML models.
Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.).
Proficiency in programming languages such as Python, R, or Julia.
Experience working with cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI).
Knowledge of MLOps, model deployment, and API integration.
Understanding of deep learning, NLP, computer vision, and other AI subfields.
Strong problem-solving and critical-thinking skills.
Ability to translate business problems into AI-driven solutions.
Excellent communication skills to explain AI concepts to non-technical stakeholders.
Experience working with large datasets and implementing data pipelines.

AI Engineer II

Key skills