Senior ML/MLOps Engineer

About the Role

This role is based at our client site in Pittsburgh, PA, requiring on-site presence 5 days a week. We are seeking a highly skilled and innovative ML/AI Engineer with deep expertise in traditional AI/ML, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation.

Responsibilities

• Maintain existing predictive models while architecting future-ready applications that integrate predictive models and generative AI.
• Build and deploy predictive models (e.g., Random Forest, Linear Regression) for enterprise-scale problems such as fraud detection, anomaly detection, and churn prediction.
• Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
• Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments.
• Translate complex requirements into scalable and efficient architecture.
• Integrate LLMs with enterprise datasets using Azure OpenAI.
• Demonstrate strong programming skills in Python and familiarity with machine learning frameworks like PyTorch.
• Apply hands-on experience with generative AI models such as GPT and agentic frameworks (e.g., AutoGen, LangGraph, MCP).
• Implement MLOps practices for building scalable AI pipelines.
• Apply solid understanding of natural language processing (NLP) and AI ethics.
• Work independently with minimal supervision, leveraging excellent communication and leadership qualities.

Requirements

• Bachelor’s degree in computer science, computer engineering, or a relevant field.
• Minimum of 6+ years of experience as a Data Engineer or similar role, with 1–2 years specifically focused on GenAI or AI/ML projects.
• Strong knowledge of data architecture in the banking domain.
• 4+ years of experience in Python and MongoDB.
• Strong hands-on experience with Microsoft Azure.
• Familiarity with CI/CD pipelines, Jenkins, model training, and model deployment.
• Knowledge of LLM models, LangChain, and Hugging Face.
• Excellent organizational, analytical, and problem-solving skills.
• Strong written and verbal communication skills.

Pay

A reasonable estimate of the compensation range for this role in the U.S. is $113,400.00 – $198,400.00.

Benefits

• Competitive compensation.
• Comprehensive insurance options.
• Matching contributions through the 401(k) plan and share purchase plan.
• Paid time off for vacation, holidays, and sick time.
• Paid parental leave.
• Learning opportunities and tuition assistance.
• Wellness and well-being programs.