Design, develop, and deploy AI models and algorithms to solve complex problems.

Collaborate with cross-functional teams to integrate AI solutions into products and services.

Conduct data preprocessing, feature engineering, and model evaluation.

Implement and optimize machine learning and deep learning algorithms.

Develop and maintain scalable machine learning pipelines and infrastructure.

Stay up-to-date with the latest advancements in AI and machine learning technologies.

Analyze and interpret large datasets to extract meaningful insights.

Document AI models, processes, and workflows.

Minimum of 3 years of experience in AI, machine learning, or a related field.

Proficiency in programming languages such as Python, R, or Java.

Strong understanding of machine learning frameworks and libraries.

Experience with data preprocessing, feature engineering, and model evaluation techniques.

Familiarity with natural language processing (NLP) and computer vision techniques.

Knowledge of deep learning architectures such as CNNs, RNNs, and GANs.

Experience with cloud platforms like AWS, Azure, or GCP for deploying AI models.

Proficiency in using version control systems, preferably Git.

Strong analytical and problem-solving skills.

Master’s or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with reinforcement learning and generative models.

Experience with AI model interpretability and explainability techniques.

Knowledge of AI ethics and responsible AI practices.

Experience with Docker and Kubernetes for containerization and orchestration.