Machine Learning Threat Intelligence Engineer

Job Title: AI/ML Engineer

Location: Jersey City, NJ (Hybrid)

Duration: 12+ Months Contract: W2 Only

Job Summary

We are seeking a highly skilled AI/ML Engineer with deep expertise in machine learning, large language models (LLMs), and Generative AI to design, build, deploy, and scale intelligent systems. The ideal candidate brings strong software engineering fundamentals, hands-on experience across the full AI/ML lifecycle, and the ability to contribute to AI strategy and roadmap discussions. This role requires close collaboration with data engineers, product teams, and cloud/platform teams to deliver production-grade AI solutions that are scalable, reliable, and impactful.

Key Responsibilities

• Design, develop, and deploy machine learning and Generative AI solutions across the full lifecycle
• Build and optimize LLM-powered applications , including RAG (Retrieval Augmented Generation) architectures
• Implement data preprocessing and feature engineering using tools like Pandas and NumPy
• Develop, train, evaluate, and tune ML models using modern AI/ML frameworks
• Design and support RESTful APIs for model inference and system integrations
• Deploy and manage models using cloud ML platforms (AWS SageMaker, Azure AI, or Google Cloud Platform ML services)
• Implement MLOps practices including CI/CD, monitoring, observability, and model iteration
• Work with vector databases , embeddings, and LLM APIs to build scalable AI systems
• Design scalable ML architectures , including distributed training and high-availability deployments
• Integrate AI/ML services with enterprise platforms and third-party systems (including ServiceNow)
• Collaborate on AI strategy, roadmap planning, and technical decision-making
• Produce clear technical documentation and communicate effectively with cross-functional teams

Required Qualifications

• 10+ years of overall software development experience
• Strong hands-on experience with LLMs and Generative AI
• Proficiency in Python with solid software engineering fundamentals
• Expertise across the AI/ML lifecycle : Data preparation Model development Deployment Monitoring
  observability Continuous improvement
• Deep understanding of RAG patterns, vector databases, and LLM APIs
• Strong foundation in advanced statistical modeling and machine learning theory
• Experience with modern AI/ML frameworks and tooling
• Experience designing and supporting RESTful APIs
• Knowledge of SQL and NoSQL databases and data processing technologies
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
• Strong analytical, problem-solving, and debugging skills
• Excellent documentation and communication abilities

For applications and inquiries, contact: [email protected]