Lead the development of innovative applications under automation methodology, data science solutions to a variety of business problems.
Design and implement data analysis, machine learning, and artificial intelligence algorithms, such as Computer Vision, GenAI, etc
Develop and maintain prototype systems for data analysis, visualization, and predictive analytics.
Collaborate with stakeholders across the organization to identify areas of opportunity for AI solution and Data science initiatives.
Monitor and evaluate results of machine learning and Data science projects to ensure successful outcomes.
Implement best practices for data engineering and data science processes.
Provide guidance and leadership to more junior engineer in the team.
Stay up to date on the latest trends in AI, Technology infrastructure, Data science and share knowledge with the team.
Qualifications
Masters or Bachelor Degree in Computer science, Data science, Computer engineering, Information technology, or similar field with working experience at least 3-5years above
Proficient in programming languages such as Python, Asp.net,C# with a strong understanding of relevant databases such as SQL, Oracle frameworks.
Excellent communication and leadership skills.
Proven ability to manage and mentor a diverse team.
Enthusiasm for exploring and implementing the latest advancements in data science.
Knowledge of the AI/ML lifecycle management and tools including EDA, Modelling, Integration/Deployment, Data/Model drift detection, Model retraining, etc
Practical experience in application of ML and Deep Learning algorithms.
Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)