Mastech Digital
Overview
Lead Consultant - U.S. Recruitment and Hiring Specialist. Mastech Digital Inc. (NYSE: MHH) is a minority-owned, publicly traded IT staffing and digital transformation services company. Headquartered in Pittsburgh, PA, and established in 1986, we serve clients nationwide through 11 U.S. offices. Role: Machine Learning Engineer Location: Smithfield, RI Duration: Full-Time/W2 Contract Why Join Us? H1 Transfers | Best Market Rates | Immediate GC Assistance | Full-Time Benefits The Role: The Workplace Investing AI Delivery Engineering Chapter team is seeking a Machine Learning Engineer to design, implement and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting and API development. We are looking for an outspoken technologist with a deep passion for data and application design to help build AWS based AI solutions. This role needs hands-on work developing APIs and integrate with ML models, partnering with our data scientists. Responsibilities
Design, implement and improve technical solutions for Gen AI including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting and API development. Develop APIs and integrate with ML models, partnering with data scientists. Work with AWS-based AI solutions and deploy models using AWS services (e.g., SageMaker). Qualifications
Solid 5+ years hands-on development as a Machine Learning Engineer. Strong programming skills in Python and Java. Experience with Gen AI solutions using Large Language Models, LangChain, LlamaIndex, Prompt Engineering and Fine Tuning. Experience developing Python-based APIs (FastAPI / Flask). Design and develop machine learning and deep learning systems using ML algorithms and frameworks. Experience with AWS services: deploying models in SageMaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting; EC2/EKS compute setup. Work with data to create models, perform statistical analysis, train and retrain models to optimize performance. Run machine learning tests and experiments. Bachelor’s Degree or equivalent experience. Details
Employment type: Full-time Seniority level: Mid-Senior level Job function: Information Technology Industries: Banking, Investment Management, and Financial Services
#J-18808-Ljbffr
Lead Consultant - U.S. Recruitment and Hiring Specialist. Mastech Digital Inc. (NYSE: MHH) is a minority-owned, publicly traded IT staffing and digital transformation services company. Headquartered in Pittsburgh, PA, and established in 1986, we serve clients nationwide through 11 U.S. offices. Role: Machine Learning Engineer Location: Smithfield, RI Duration: Full-Time/W2 Contract Why Join Us? H1 Transfers | Best Market Rates | Immediate GC Assistance | Full-Time Benefits The Role: The Workplace Investing AI Delivery Engineering Chapter team is seeking a Machine Learning Engineer to design, implement and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting and API development. We are looking for an outspoken technologist with a deep passion for data and application design to help build AWS based AI solutions. This role needs hands-on work developing APIs and integrate with ML models, partnering with our data scientists. Responsibilities
Design, implement and improve technical solutions for Gen AI including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting and API development. Develop APIs and integrate with ML models, partnering with data scientists. Work with AWS-based AI solutions and deploy models using AWS services (e.g., SageMaker). Qualifications
Solid 5+ years hands-on development as a Machine Learning Engineer. Strong programming skills in Python and Java. Experience with Gen AI solutions using Large Language Models, LangChain, LlamaIndex, Prompt Engineering and Fine Tuning. Experience developing Python-based APIs (FastAPI / Flask). Design and develop machine learning and deep learning systems using ML algorithms and frameworks. Experience with AWS services: deploying models in SageMaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting; EC2/EKS compute setup. Work with data to create models, perform statistical analysis, train and retrain models to optimize performance. Run machine learning tests and experiments. Bachelor’s Degree or equivalent experience. Details
Employment type: Full-time Seniority level: Mid-Senior level Job function: Information Technology Industries: Banking, Investment Management, and Financial Services
#J-18808-Ljbffr