Responsibilities:
Collaborate with stakeholders to identify business opportunities and requirements for AI solutions, and translate them into technical specifications and project plans.
Research, design, and develop AI models, algorithms, and machine learning (ML) pipelines to address specific business problems and use cases.
Gather, preprocess, and analyze data from various sources to train and evaluate AI models, and ensure data quality, accuracy, and integrity.
Implement and optimize AI solutions using programming languages such as Python, R, or TensorFlow, and libraries/frameworks such as scikit-learn, PyTorch, or Keras.
Explore and experiment with different AI techniques and approaches, including supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Collaborate with data engineers, software developers, and domain experts to integrate AI models into production systems and applications, and deploy them at scale.
Monitor and evaluate the performance of AI models in production, and fine-tune them as needed to improve accuracy, efficiency, and effectiveness.
Ensure compliance with regulatory requirements, ethical standards, and best practices for AI development and deployment, including privacy, security, and fairness.
Stay updated with the latest research, trends, and advancements in AI and ML technologies, and assess their potential impact on our organization's AI strategy and roadmap.
Communicate effectively with stakeholders, including technical and non-technical audiences, to explain AI concepts, present results, and provide recommendations for decision-making.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. (Master's degree or Ph.D. preferred)
Proven experience as an AI Developer, Machine Learning Engineer, or Data Scientist, with expertise in developing and deploying AI/ML solutions.