Machine Learning Engineer

Mastech Digital is Hiring !! Position: Machine Learning Engineer Location: Dallas, TX and Pittsburgh, PA No C2C, Only W2 ! Job Description: • Leads in the development of cross-functional, multi-platform machine learning software systems. • Uses technical knowledge and industry experience to design, build and maintain technology solutions. • Utilizes knowledge of advanced probability and statistics to create intricate machine learning algorithms. • Applies complex higher level math concepts to build new models and validate existing models. • Possesses Machine Learning industry expertise and stays current on best practices, hot topics, and emerging trends. • Utilizes industry expertise to inform decisions and recommendations. • Performs complex application programming activities including, coding, testing, debugging, documenting, maintaining, and modifying machine learning systems. • Works with Data Scientist to understand prototype, and suggests modifications as necessary. • Easily understands the bigger picture and possesses an enterprise-wide view. Role/Responsibilities: • Continuous support of models deployed to production applications • Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery • Continuous support of models deployed to production applications • Release planning, coordination, and hands on support throughout release windows. Must Have Skills: • Experience implementing production solutions that leverage generative AI and LLMs. • Machine learning model solution design, build, orchestration and implementation • Experience building solutions with model governance, risk management, and regulatory adherence at top of mind - GPT 5.x • Langchain - RAG/RAGAS Flex Skills/Nice to Have: • Azure AI Search/AI Agent Service/Document Intelligence/Content Safety • Microsoft Agent Framework/Foundry • Redis • Elasticsearch • Arize • Deepeval • ChromaDB • Langgraph Skills: • Machine Learning • Customer Solutions • Risk Assessments • Technical Knowledge • Competitive Advantages • Design Enterprise • Architecture Framework