Artificial Intelligence Engineer

QUALIFICATIONS • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Linguistics, or a related field. • Minimum of 7 years of experience in NLP, GenAI, LLMs, RAG, data governance, data science, or a related role. • Deep understanding of the components and development process of an Agentic AI solution. Technical Skills: • Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. • Working knowledge of Azure AI Foundry and ML Studio. • Working knowledge of low code solutions, as well as tool integration and multi-agent collaboration. • Experience mapping and defining business processes and/or workflows for automation purposes. • Cloud computing and knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. Deep understanding of containerization technologies like Docker and orchestration tools like Kubernetes for scaling AI solutions. • Experience combining design patterns like Tool Use, Reflection, and Planning for robust and solid automation. • Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). Ability to design, train, and optimize these models to generate high-quality, creative content. • Experience in Natural language processing (NLP) for text generation projects. Working knowledge of techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. • Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data, including the cleaning, labeling, and augmenting of data to train and improve AI models. • Proficiency prompt engineering for generative AI models (GPT-4, DALL-E, etc.) and experience creating and integrating RAG capabilities. • Strong understanding of natural language processing concepts and techniques. • Proficiency in programming languages such as Python and familiarity with AI frameworks (e.g., TensorFlow, PyTorch). • Understanding of Agentic AI frameworks and tools, like CrewAI and Azure AI Foundry. • Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud). • Experience with AI tools, such as MS Azure ML, Databricks AI, Snowflake CortexAI, Dataiku. • Strong knowledge of data governance, data security, and compliance practices. • Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI). • Proficiency in programming languages such as Python, R, or SQL. Soft Skills: • Excellent analytical and problem-solving abilities. • Strong communication and interpersonal skills to collaborate with cross-functional teams. • Ability to lead projects and mentor junior staff. • Auto Insurance claims industry experience preferred. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.