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