AI/ML Engineer Lead and AI developer - Oaks, PA ( 5 Onsite) - Contract

Title: AI Optimization Engineer Duration: 6 Months Location: NYC, NY (Onsite) Long Term Contract Qualifications Proficiency in languages such as Python, with experience in libraries like NumPy and scikit-learn. Knowledge of various machine learning algorithms, including supervised and unsupervised learning, neural networks, decision trees, clustering, and dimensionality reduction. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and knowledge of their architectures

About the RoleWe are seeking a Senior AI Platform Developer (710 years experience) to design, develop, and deploy scalable AI/ML solutions in a production enterprise environment. This role requires deep technical expertise across machine learning, NLP, cloud platforms, and MLOps practices. This is a hybrid position based in Herndon, VA, requiring onsite presence at least 4 days per week. Key ResponsibilitiesDesign, develop, and deploy AI/ML models in production environments Build scalable AI pla

Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Key Responsibilities Design and develop machine learning and AI models for real-world business problems. Collect, clean, and preprocess structured and unstructured data. Build predictive models using supervised and unsupervised learning techniques. Develop deep learning models for NLP, computer vision, or recommendation systems. Deploy ML models into production environments using APIs or microservice

AI/ML Developer Alpharetta, GA Contract Required Skills Proven experience in AI/ML pipelines, data preprocessing, model training, fine-tuning, and deployment (TensorFlow, PyTorch, Scikit-learn). Must have hands-on with GenAI frameworks (LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock, etc.). Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases, embedding, Graphs. Working knowledge of prompt engineering, optimization and fine-tuning. Strong proficienc