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Job Description Key Responsibilities : Design, develop, and deploy machine learning models and AI-driven applications using Python. Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into AI solutions. Utilize AWS Bedrock and other AWS cloud services for model deployment, training, and orchestration. Manage data pipelines and ensure efficient data flow and storage, including preprocessing and feature engineering. Implement and maintain databases (SQL/NoSQL) used for storing structured and unstructured data. Optimize model performance and continuously monitor accuracy, efficiency, and scalability of deployed systems. Stay updated with the latest research, trends, and technologies in AI and machine learning. Document design processes, code, and research findings clearly and concisely. Contribute to code reviews, best practices, and technical mentorship within the Qualifications : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong proficiency in Python and common machine learning libraries (e.g., TensorFlow, PyTorch, Scikit learn, Hugging Face Transformers). Proven experience building, training, and deploying machine learning models in real-world applications. Hands-on experience with AWS, particularly AWS Bedrock, SageMaker, Lambda, S3, and related services. Proficient in database management, including SQL and NoSQL systems such as PostgreSQL, MySQL, MongoDB, or DynamoDB. Understanding of data structures, algorithms, and software engineering best practices. Experience with version control systems (e.g., Git) and CI/CD pipelines for machine learning projects. Excellent communication and collaboration skills. (ref:hirist.tech) Show more Show less
