GenAI Developer
Experis
Pennington, United States of America
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Pennington, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Computing Platforms
Azure
Cloud Computing
Information Engineering
ETL
Python
Machine Learning
SQL Databases
Google Cloud Platform
Feature Engineering
Data Ingestion
Deep Learning
Generative AI
AI Platforms
Information Technology
Data Management
Machine Learning Operations
GPT
Microservices
Job description
Our client, a leading organization in the financial services industry, is seeking a GenAI Developer to join their team. As a GenAI Developer, you will be part of the AI & Data Science department supporting cross-functional teams. The ideal candidate will demonstrate strong collaboration skills, innovative thinking, and a proactive attitude, which will align successfully in the organization., * Design end-to-end AI/ML architectures including data ingestion, feature engineering, model development, deployment, monitoring, and retraining.
- Define enterprise AI reference architectures for GenAI, ML, NLP, computer vision, and predictive analytics use cases.
- Select and standardize AI platforms, frameworks, and tools such as cloud AI services, MLOps platforms, and LLM frameworks.
- Partner with business, data, and engineering leaders to translate use cases into technical AI solutions.
- Guide AI adoption across ETL, data platforms, and analytics ecosystems, supporting proof of concepts and pilots.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 8+ years of experience in data, analytics, or platform architecture roles.
- 4+ years of experience designing and implementing AI/ML solutions at scale, with proven deployment into production environments.
- Strong knowledge of Machine Learning, Deep Learning, and Generative AI concepts, along with proficiency in Python and SQL.
- Experience with cloud AI platforms (Azure, AWS, GCP), MLOps tools, data engineering, and understanding of APIs, microservices, containers, and orchestration.
Benefits & conditions
- Opportunity to work on innovative AI solutions in a dynamic environment.
- Collaborate with industry-leading professionals and contribute to impactful projects.
- Gain exposure to cutting-edge AI architectures and governance practices.
- Enhance your skills with diverse technical challenges and continuous learning.
- Be part of a forward-thinking organization committed to diversity and inclusion.
Upon completion of waiting period consultants are eligible for:
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay