Machine Learning Engineer

Machine Learning Engineer (Applied AI / Predictive Modeling / NLP) Location: New York-based client Type: Full-time Contract (40 hrs/week) Rate: $70–90/hr Engagement: 8-month initial contract with strong extension potential Engagement Type: W2 or Personal LLC only Restrictions: No C2C / third-party vendors Overview We’re seeking a hands-on Machine Learning Engineer with a strong data science background to help design and deliver practical AI solutions across predictive analytics and NLP-driven applications. This role is suited to someone who has experience building production-ready machine learning systems and can work directly with stakeholders to identify meaningful AI use cases. Responsibilities • Build, train, deploy, and maintain production-grade machine learning models • Develop predictive modeling and forecasting solutions across business use cases such as churn, revenue forecasting, demand planning, and operational optimization • Design and implement NLP / LLM-powered applications including chatbots, semantic search, document intelligence, and conversational AI workflows • Build end-to-end ML pipelines covering feature engineering, training, deployment, inference, and monitoring • Develop RAG workflows using embeddings and vector search • Partner with business and technical stakeholders to identify practical AI use cases and solution opportunities • Work closely with engineering, product, and data teams to productionize AI initiatives Required Experience • 4+ years in Machine Learning / Applied AI / Data Science • Strong Python and SQL skills • Proven experience deploying ML models into production • Commercial predictive modeling / forecasting experience • Hands-on NLP / chatbot / LLM experience • Experience with ML frameworks such as Scikit-learn, PyTorch, or TensorFlow • Cloud experience (AWS / Azure / GCP) Nice to Have • LangChain / LlamaIndex • Pinecone / Weaviate / FAISS • Kafka / Spark / real-time data processing • Customer support AI / contact center AI • Recommendation / personalization systems