AI/ML Engineer

Job Title: AI/ML Engineer

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

Duration: 6 Months Contract-to-Hire (CTH)

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:

Generative AI Development & AI Solutions

• 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.

Machine Learning Model Development & Deployment

• 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.

Data Engineering & Management

• 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.

Python API Development & Cloud Deployment

• Build and deploy scalable APIs using FastAPI, Apache, Gunicorn for model inferencing.
• Deploy AI/ML solutions on AWS (preferred), Snowflake, or other cloud platforms.

Research & Innovation

• 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.

Collaboration & Communication

• 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.
• Strong Python programming skills (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, LangChain, etc.).
• 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.