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Bizoforce Hiring - Machine Learning Engineer (NLP & Python) - Remote, USA

Bizoforce Inc.

Bizoforce Hiring – Machine Learning Engineer (NLP & Python) – Remote, USAFeatured Urgent# Bizoforce Hiring – Machine Learning Engineer (NLP & Python) – Remote, USAConfidentialUSA remote full\_time Posted today## Job DescriptionBizoforce is hiring an experienced Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) and customer analytics to support advanced data-driven initiatives. The ideal candidate will have hands-on experience in analyzing unstructured data, building predictive models, and optimizing customer engagement strategies. This role is best suited for professionals who can work with large-scale datasets, develop ML models, and deliver actionable insights for business growth.ExperienceLevel: Machine Learning EngineerExperience Required: 8–10 Years### Key Responsibilities* Analyze call center transcripts using NLP for sentiment and intent detection* Develop models for churn prediction and next-best offer recommendations* Build customer segmentation and propensity models* Support A/B testing and campaign optimization* Work with multiple data sources (CRM, billing, usage, call logs)* Deploy and monitor ML models in production environments* Optimize model performance and ensure scalability* Collaborate with data and business teams for insights generationRequired Skills* Python (Pandas, Scikit-learn, TensorFlow / PyTorch)* Machine Learning & NLP* SQL & Data Processing* Unstructured Data Analysis* Model Deployment & MonitoringPreferred Skills* Telecom / Subscription Domain Experience* Recommendation Systems / Uplift Modeling* Speech Analytics / Call Center Data* Strong analytical and problem-solving skills### Assignment Details* Role: Machine Learning Engineer* Primary Skill: NLP & Python* Location: Remote, USA* Employment Type: Sub Contract / Full-Time* Open Positions: Multiple## Requirements* 8 years of experience requiredJob Location USASkills Required #J-18808-Ljbffr

Vacancy posted 4 days ago
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