Mastech DigitalRemote
Artificial Intelligence Engineer
United States of America
Contract
2 weeks ago
H1B Sponsor Likely
Key skills
Natural Language ProcessingGenerative AILarge Language ModelsRetrieval-Augmented GenerationData GovernanceData ScienceAgentic AIPythonTensorFlowPyTorchKerasAzure AI FoundryAzure ML StudioLow code solutionsCloud computingAWSGoogle CloudMicrosoft AzureDockerKubernetesGenerative Adversarial NetworksVariational AutoencodersText parsingSentiment analysisTransformersPrompt engineeringData pre-processingData augmentationSynthetic data generationR programmingSQLData securityComplianceData visualizationPower BIAnalytical skillsRAIArtificial IntelligenceMLNLPGenAIRAGAgenticBISnowflakeDatabricksAzureCommunicationCollaboration
About this role
Mastech Digital is a company specializing in digital solutions, and they are seeking an Artificial Intelligence Engineer. The role involves developing and implementing Agentic AI solutions, with a strong focus on natural language processing and data governance.
Requirements:
- 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
- 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
- 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