AI/ML Engineer

Location:

Boston, MA (Preferred) or Jersey City, NJ Sponsorship:

Not available at the time of conversion About the Role: We are seeking a highly skilled

AI/ML Engineer

to join our

Technology Research and Innovation team . You will be responsible for designing, developing, and deploying

cutting-edge AI/ML models

and

Generative AI solutions

to solve complex business challenges. This role requires expertise in

Machine Learning, Generative AI, Cloud Computing (AWS), and MLOps , with a strong focus on

LLM fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic Workflows . Key Responsibilities: Develop and implement AI solutions such as

Retrieval-Augmented Generation (RAG)

and

Agentic Workflows

using

LLMs and prompt engineering . Evaluate

Large Language Models (LLMs)

for performance, optimization, and business alignment. Collaborate with cross-functional teams to integrate AI solutions into

enterprise systems . Design, develop, and deploy ML models and algorithms for business use cases. Implement

MLOps best practices

to ensure model scalability, monitoring, and optimization. Optimize models for performance, efficiency, and cost-effectiveness. Collect, clean, and preprocess structured and unstructured data for ML training. Develop and manage

data pipelines

to ensure seamless data integration. Implement

feature engineering

and

data augmentation techniques . Build and deploy

scalable APIs

using

FastAPI, Apache, Gunicorn

for model inferencing. Deploy AI/ML solutions on

AWS (preferred), Snowflake, or other cloud platforms . Stay updated with

cutting-edge AI/ML advancements

and implement innovative solutions. Research and explore

new AI methodologies, Generative AI techniques, and model optimization strategies . Work on

Proof-of-Concept (PoC) AI projects

for future implementation. Work closely with

software engineers, data scientists, and business stakeholders . Present

complex AI concepts

in a clear, concise manner to non-technical teams. Provide

mentorship and guidance

to junior AI/ML team members. Required Qualifications: Bachelor’s or Master’s degree

in Computer Science, Data Science, AI, or a related field. 6+ years

of experience in

Machine Learning, AI, and Data Science . Expertise in

Generative AI, Retrieval-Augmented Generation (RAG), Agentic Workflows, and LLM fine-tuning . Experience in

cloud platforms (AWS preferred, Azure, GCP)

for AI model deployment. Proficiency in

SQL and Snowflake

for data extraction and analysis. Experience in

MLOps

for model deployment, versioning, and monitoring. Hands-on experience in

FastAPI, Apache, Gunicorn

for API development. Strong understanding of

data structures, algorithms, and statistical methods . Financial services industry experience is a must . Strong

problem-solving, analytical thinking, and communication skills . Preferred Qualifications: Experience in

data visualization tools

(Matplotlib, Seaborn, Tableau). Prior experience in

building asynchronous Python APIs . Knowledge of

AI ethics, model interpretability, and responsible AI . Seniority level

Mid-Senior level Employment type

Contract Job function

Information Technology Industries

Information Services

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