Pittsburgh, PA – Fully Onsite
Duration: 08+ Months (Possible Extension) | Contract to FTE
Client:
Confidential – Fortune Banking Client
Job Description:
Employment Type:
Contract to Hire (W2 Only)
Position Overview
As a
AI/ML Engineer
within the Technology organization, you will play a critical role in designing and delivering high‑impact AI and data science solutions. This role requires close collaboration with both business and technical stakeholders to identify, prioritize, and implement data‑driven opportunities that drive measurable business outcomes.
The team’s mission includes:
Equipping teams with the tools, skills, and environments needed to manage increasing complexity
Enabling faster, more informed decision‑making on critical business initiatives
Driving AI‑based automation and data‑driven optimization of business processes, allowing teams to focus on high‑value strategic work
⚠️
This is a fully onsite role in Pittsburgh, PA.
Candidates are encouraged to discuss workplace expectations with recruiters and hiring managers to ensure alignment with career goals.
️ Key Responsibilities
Act as an internal consultant to gather, clarify, and translate business requirements into technical solutions
Communicate and align cross‑functional technical teams toward successful solution delivery
Design, build, orchestrate, and implement machine learning models end‑to‑end
️ Embed model governance, risk management, and regulatory compliance throughout the ML lifecycle
Deploy and support AI/ML solutions in production environments
Monitor model performance, maintain ongoing stability, and drive continuous improvements
Lead release planning, coordination, and hands‑on support during production release windows
Leverage Generative AI and Large Language Models (LLMs) where applicable
(preferred but not required)
Core Job Functions
Lead analytical initiatives using large volumes of structured and unstructured data to produce actionable insights
Direct data collection, preparation, processing, and mining of complex datasets
Develop and deploy advanced machine learning, statistical, and mathematical models to predict outcomes and recommend actions
Design and execute structured analytical experiments to identify optimization opportunities across products and processes
Present insights and recommendations to leadership using compelling data visualization and storytelling
Partner with Data Architects, Data Engineers, Data Analysts, and Visualization Specialists to deliver scalable, enterprise‑ready solutions
Employee Expectations
Employees are expected to consistently demonstrate:
Customer Focus:
Deep understanding of customer needs and embedding them into data‑driven solutions
⚖️
Risk Management:
Identifying, assessing, and mitigating risks in accordance with enterprise risk management frameworks
✅ Preferred Skills
Analytical Thinking
Artificial Intelligence (AI)
Data Science & Data Analytics
Data Mining
Machine Learning (ML)
Model Governance
Solution Design & Implementation
Business & Technical Consulting
Core Competencies
Data Architecture
Data Mining
Disruptive Innovation
Information Capture & Management
Machine Learning
Data, Process, Event, and Object Modeling
Prototyping
Query & Database Access Tools