Overview
On Site
Contract - W2
Skills
FOCUS
Design
Collaboration
Data
Knowledge sharing
Computer science
Machine Learning (ML)
Customer engineering
Machine Learning Operations (ML Ops)
Training
Software deployment
Software development
Python
Artificial intelligence
TensorFlow
PyTorch
Scratch
Microsoft Power BI
Analytics
Microsoft Azure
Oracle
Data Science
Cloud computing
Job Details
Job Description
Location : Brooklyn, NY (Onsite )
Duration : 12 Months Contract
Be sure the candidates are local and can start onsite from Day 1.
35 hours and unpaid lunch break
Senior AI/Client Engineer
Job Summary:
We are seeking a highly skilled and experienced Senior AI/Client Engineer to join our team. This position will play a crucial role in the creation of a new unit focused on building AI/Client-powered solutions and piloting the adoption of cloud platforms, including Azure, or Oracle's data science platform. The successful candidate will be responsible for setting up end to end MLOps and integrating model outputs into business user reports using PowerBI, Oracle Analytics or APIs.
Key Responsibilities:
Qualifications:
Location : Brooklyn, NY (Onsite )
Duration : 12 Months Contract
Be sure the candidates are local and can start onsite from Day 1.
35 hours and unpaid lunch break
Senior AI/Client Engineer
Job Summary:
We are seeking a highly skilled and experienced Senior AI/Client Engineer to join our team. This position will play a crucial role in the creation of a new unit focused on building AI/Client-powered solutions and piloting the adoption of cloud platforms, including Azure, or Oracle's data science platform. The successful candidate will be responsible for setting up end to end MLOps and integrating model outputs into business user reports using PowerBI, Oracle Analytics or APIs.
Key Responsibilities:
- End-to-end usage of AI/Client models, with a focus on LLMs fine tuning/RAG.
- Design and implement MLOps processes to ensure efficient and reliable model training, validation, deployment, and monitoring.
- Evaluate and pilot the adoption of Azure, Google, or Oracle's data science/Client cloud platforms to determine the best fit for the company's needs.
- Configure and set up Client platforms on Azure or Oracle from scratch, ensuring robust and scalable infrastructure.
- Collaborate with cross-functional teams to understand data requirements and integrate AI/Client solutions with existing systems.
- Develop process to continuously pretrain and fine-tune the LLM.
- Document technical processes, methodologies, and best practices to support knowledge sharing and team growth.
Qualifications:
- Education:
- Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- Certifications in Azure Client or Oracle Client or similar.
- Required:
- Minimum of 3 years of experience in AI/Client engineering.
- Proven track record in developing and deploying AI/Client models in a production environment.
- Hands-on experience with MLOps, including model training, validation, deployment, and monitoring.
- Strong programming skills in Python and experience with AI/Client frameworks such as TensorFlow, PyTorch, or similar.
- Experience configuring and setting up Client platforms on Azure or Oracle from scratch.
- Experience with integrating model outputs into business user reports using PowerBI or Oracle Analytics.
- Experience with cloud platforms, preferably with Azure or Oracle Data Science Cloud, or willingness to learn.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.