Sr. AI/ML Engineer

Job Title:Sr.AI/ML Engineer

Location: Iselin, NJ

Duration: 12 Months + Extension

Bill Rate: $87/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: U.S. Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

• Design and implement generative AI solutions using comprehensive pipelines. Build end-to-end systems integrating structured and unstructured data stores, graph databases, indexing strategies, and reinforced learning strategies, embedding models, and LLMs to enable context-aware, knowledge-grounded responses. Build production-grade AI agents using both low-code platforms and high-code custom implementations and optimize for performance and maintainability.
• Design, train, and deploy end-to-end machine learning pipelines encompassing data ingestion, feature engineering, model selection, hyperparameter tuning, and validation using frameworks such as scikit-learn, XGBoost, PyTorch, and TensorFlow.
• Apply advanced statistical modeling, exploratory data analysis, and feature store design to extract actionable insights from large, complex, and heterogeneous datasets. Build and maintain robust data preprocessing and transformation workflows to handle class imbalance, missing data, and distribution drift, and implement model monitoring pipelines to detect and respond to concept drift, data quality degradation, and performance regression in production environments, ensuring sustained model reliability and business relevance over time.
• Architect and develop large-scale, cloud-native (AWS) Python applications using modern frameworks, optimized for high performance, low latency, and horizontal scalability. Implement Infrastructure as Code (IaC) using Terraform for version-controlled, reproducible infrastructure provisioning. Implement robust testing strategies including unit tests, integration tests, end-to-end tests, performance tests, and AI-specific testing (prompt regression tests, model output validation).
• Apply security best practices including IAM, least-privilege access, role-based access control (RBAC), and multi-factor authentication; enforce encryption at rest and in transit; and ensure secure key management and data masking/tokenization for sensitive information.
• Design and manage containerized applications using Docker for packaging and Kubernetes (EKS) or ECS for orchestration, ensuring efficient resource utilization and auto-scaling.
• Establish and enforce CI/CD best practices using GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline to automate build, test, and deployment processes.
• Maintain comprehensive documentation of system architectures, data flows, security controls, and operational procedures to support compliance audits and knowledge transfer.
  
  Equal Opportunity Employer:
  
  We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.