Job
Description
Software Engineer Python Developer Basic Qualifications Bachelors degree in relevant discipline (Computer Science, Engineering, IT, Information Systems or a related field, or equivalent experience) Bachelors degree in computer science, Engineering, or related field. 4+ years of professional experience as a Python Developer or Software Engineer. 1+ year of experience or strong exposure with cloud computing platforms, particularly AWS Strong proficiency in Python programming language and related frameworks/libraries. Experience with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with AWS services such as EC2, S3, Lambda, SageMaker, Comprehend and CloudFormation. Solid understanding of software engineering principles, algorithms, and data structures. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Roles & Responsibilities: Collaborate with cross-functional teams to define machine learning requirements and develop scalable solutions. Design and implement machine learning models and algorithms using Python libraries such as TensorFlow, PyTorch, or scikit-learn. Develop and maintain data processing pipelines for feature engineering, model training, and evaluation. Deploy machine learning models into production environments on AWS cloud infrastructure. Utilize AWS services such as EC2, S3, Lambda, and SageMaker to build and deploy scalable solutions. Implement monitoring and logging mechanisms to track model performance and system health. Optimize machine learning workflows for performance, scalability, and cost-effectiveness. Stay updated on the latest advancements in machine learning techniques, AWS services, and best practices. Participate in code reviews, pair programming, and knowledge-sharing sessions with team members. Nice to have: US Healthcare knowledge is an advantage. Experience with containerization technologies such as Docker and Kubernetes. Knowledge of DevOps practices and tools for CI/CD automation. Familiarity with SQL databases and big data technologies (e.g., Hadoop, Apache Spark).
