Machine Learning Engineer 5083

Tier4 Group is 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.

Responsibilities:

• 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

Requirements:

• 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