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