Senior ML/MLOps Engineer

Category: Analytics and Emerging Digital Technologies

Main location: United States, Pennsylvania, Pittsburgh

Position ID:J0826-1360

Employment Type: Full Time

Position Description:

This role will require someone at our client site 5 days a week in Pittsburgh, PA,

Duties and Responsibilities:

. Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.
. Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale
. Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
. Strong programming skills in Python and in similar languages.
. Familiarity with machine learning frameworks like PyTorch.
. Hands on experience with generative AI models such as GPT.
. Understanding of MLOps practices for building scalable AI pipelines.
. Solid understanding of natural language processing (NLP) and AI ethics.
. Translate complex requirements into scalable and efficient architecture
. Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments
. Excellent Communication and Leadership qualities to work independently with minimal supervision.

Requirements:Bachelor's degree in computer science, computer engineering, or relevant field.

. A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects
. Strong knowledge data architecture in banking domain.
. 4+ Years Work Experience in Python, Mongo
. Strong hands on experience with Microsoft Azure
. Integrate LLMs with enterprise datasets using Azure Open AI.
. Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)
. ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment
. GenAI: Knowledge in LLM Models, Langchain , Hugingface
. Excellent organizational and analytical abilities.
. Outstanding problem solver.
. Good written and verbal communication skills
#LI-SG2
#DICE
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00 $156,700.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the 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
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $113,400.00 $198,400.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the 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

Skills:

• AutoGen
• Communication
• Generative AI
• GraphQL
• Jenkins
• LangGraph
• Large Language Model (LLM)
• Machine Learning
• Model Context Protocol Client
• Model Context Protocol Servers
• Model Prototyping
• MongoDB
• Python
• Azure