Senior AI Engineer

Job Description

Core Responsibilities: Utilize machine learning technologies such as Python, Pyspark, TensorFlow, and PyTorch to develop, and implement high-performance, scalable applications for enterprise level visualizers and computer vision projects. Develop and implement computer vision algorithms and models to solve complex business problems, such as object detection, image classification, depth estimation, Generative AI and image segmentation. Develop and maintain technical documentation of algorithms and models, including documentation of model performance and validation. Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects and to guide team members Stay up to date with the latest developments in computer vision and machine learning and apply this knowledge to improve our products and processes. Asks the right questions to understand the problem; validates understanding with Stakeholder or Manager Should be able to train the deep learning models after data preparation, validate the model, deploy the model to cloud environment, do performance tuning and monitor the model inference. Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business Develop projects with full adherence to enterprise project management practices by participating in formal and informal training Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies Years of Experience: 5+ years of experience in python,deep learning and computer vision Datascience. Minimum Qualifications Bachelors Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 2 years of experience in computer vision Datascience. AND 3 year of programming experience in Python and Machine learning. OR Masters Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 year of experience in python microervices like fast api. OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field Also Knowledge of computer vision model training. Preferred Qualifications Masters Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field Experience in deploying deep learning models in a large scale enterprise 2 years of experience in data science or advanced analytics in industry Docker Experience Programming experience in Python. Experience using multiple data systems and frameworks (such as Hadoop, Spark) etc