AI/ ML Engineer (Data & Schema Engineering) @ Acaisoft

7 years of industry experience, including 3 years in a similar role focused on AI/ML systems Strong proficiency in Python and SQL for data processing, analysis, and pipeline development Hands-on experience with AI/LLM frameworks, particularly LangChain Proven experience designing and evaluating AI models, including benchmarking, test set creation, and performance analysis Solid understanding of data schema design, dataset generation, and data quality standards for AI applications Experience building and maintaining large-scale datasets, as well as developing and implementing data pipelines to support AI model development and deployment Strong analytical skills with the ability to analyze complex data sets and identify trends and patterns Proficiency in working with cloud-based platforms such as AWS and Google Cloud Excellent communication and collaboration skills, with experience working with cross-functional teams to develop and deploy AI models Experience with Agile methodologies and version control systems like Git Familiarity with containerization using Docker and Kubernetes Strong understanding of machine learning concepts, including supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction Experience with popular deep learning frameworks such as TensorFlow, PyTorch, and Keras Ability to work independently and as part of a team, with strong problem-solving skills and attention to detail