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GenAI Engineer
Edison NJ / New York NY
Onsite Position
W2 Position
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives needs and feelings of others.
Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific client tax and audit guidance) the Firms code of conduct and independence requirements.
The Opportunity:
As part of the Data and Analytics Engineering team you will contribute to the evolution of AI technologies and methodologies. As a Senior Associate you will analyze complex problems mentor others and maintain elevated standards while navigating intricate situations to drive project success.
Responsibilities:
Uphold exceptional standards in deliverables
Work with diverse teams to improve product development
Navigate complex scenarios to secure project success
Maintain remarkable quality and performance in tasks
Foster a culture of continuous improvement and innovation
What You Must Have:
Bachelors Degree
3 years of experience
What Sets You Apart:
Masters Degree in Computer Engineering Computer Science Artificial Intelligence and Robotics Software Engineering Data Processing/Analytics/Science preferred
Designing and deploying machine learning models and LLMs
Developing scalable cloud-native microservices with Docker and Kubernetes
Building end-to-end AI applications for web mobile or API-first platforms utilizing technology tools such as Python and React
Managing CI/CD pipelines for AI systems using GitHub Actions and MLflow
Implementing vector databases and RAG pipelines with orchestration tools
Translating complex business problems into software-engineered AI solutions
Fine-tuning models on domain-specific data
Applying Responsible AI practices including governance and ethics
Venkat Ramana
Mprogen Systems
Email:
Phone: 972 474- 3201
(Fax)
DOCKER , CI/CD , PYTHON
Full Time