AI/ML Engineer :: 6 months (W2 Contract Only) :: New York City ,NY , Alpharetta, GA (Hybrid, 3 days in a week from office) Locals only - In-person Interview is required

Qualifications

• Experience :: 3 -5 years , 5-8 years , 8-12 years
• The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG)
• 10+ years of relevant experience in AI/ML, with at least 2 years focused on agentic AI, autonomous systems, or multi-agent architectures
• Hands-on experience with multi-agent systems, emergent behavior modeling, and ensuring system robustness and trustworthiness
• Proven experience in investment banking or financial services
• Good experience in Natural Language Processing (NLP)
• Extensive hands-on experience with Microsoft Azure OpenAI services
• Strong understanding and practical experience with Retrieval-Augmented Generation (RAG)
• Proficiency in programming languages such as Python
• Experience in deploying scalable, production-ready AI solutions integrated within enterprise environments
• Knowledge of AI model deployment and API integration

Responsibilities

• AI/ ML Engineer will leverage advanced AI models and Azure OpenAI services to develop innovative solutions for investment banking processes

Full Description

Hi ,

Hope you ae doing good ,

Position : AI/ML Engineer

Duration : 6 months (W2 Contract Only)

Location : New York City ,NY , Alpharetta, GA (Hybrid, 3 days in a week from office)

Locals only - In-person Interview is required

Experience :: 3 -5 years , 5-8 years , 8-12 years

Job Description:

AI/ ML Engineer will leverage advanced AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG).

Qualifications:

• 10+ years of relevant experience in AI/ML, with at least 2 years focused on agentic AI, autonomous systems, or multi-agent architectures

• Hands-on experience with multi-agent systems, emergent behavior modeling, and ensuring system robustness and trustworthiness.

• Proven experience in investment banking or financial services.

• Good experience in Natural Language Processing (NLP)

• Extensive hands-on experience with Microsoft Azure OpenAI services.

• Strong understanding and practical experience with Retrieval-Augmented Generation (RAG).

• Proficiency in programming languages such as Python.

• Experience in deploying scalable, production-ready AI solutions integrated within enterprise environments

• Knowledge of AI model deployment and API integration.