Machine Learning Engineer 5083

Machine Learning Engineer – NLP & Customer Analytics Remote Contract - within the United States Must be able to work on a W2 basis without sponsorship - No C2C Overview: We are seeking a Machine Learning Engineer to help build and deploy data-driven models that improve customer experience, retention, and marketing performance. This role focuses on applying machine learning and NLP to real-world customer data, including call center transcripts and behavioral datasets. What You’ll Do Analyze call center transcripts and unstructured text data using NLP to: • Detect customer sentiment and intent • Identify churn risk and customer complaints • Surface upsell and cross‑sell opportunities • Develop and deploy machine learning models for: • Customer churn prediction • Next Best Offer / personalization • Campaign targeting and uplift modeling • Create customer segments and propensity models • Support A/B testing, experimentation, and campaign optimization • Work with diverse data sources such as customer usage, billing, CRM, and call logs • Collaborate with data, analytics, and business teams to translate insights into action • Deploy, monitor, and improve ML models in production environments Required Qualifications • Strong Python skills (Pandas, scikit‑learn, TensorFlow or PyTorch) • Hands-on experience with machine learning and NLP • Solid SQL and data manipulation skills • Experience working with customer, marketing, or behavioral data • Experience working with unstructured data, including text and transcripts • Experience taking models from development through production • Experience in telecom, subscription-based, or recurring revenue businesses • Background in recommendation systems, personalization, or uplift modeling • Familiarity with speech analytics or call center data • Experience supporting experimentation frameworks or A/B testing