ML Engineer ( 10-12+ yrs profile) with telecom domain for Remote

Title: ML Engineer (10-12+ yrs profile)

Location: Remote

Job Summary:

We are seeking a highly skilled Machine Learning Engineer with a strong background in Natural Language Processing (NLP) to join our dynamic team. The ideal candidate will have extensive experience in analyzing call center transcripts to derive actionable insights, develop predictive models, and optimize marketing campaigns. This role requires a deep understanding of machine learning techniques, customer data analytics, and the ability to work with unstructured data.

Responsibilities:

• Analyze call center transcripts using NLP to detect customer sentiment and intent, identify churn risk and complaints, and find upsell/cross sell opportunities.
• Develop and implement models for churn prediction, next best offer personalization, and campaign targeting and uplift.
• Create customer segments and propensity models to enhance marketing strategies.
• Support A/B testing and campaign optimization efforts to improve customer engagement and retention.
• Work with various data sources, including usage, billing, CRM, and call logs, to extract meaningful insights.
• Deploy and monitor machine learning models in production environments to ensure performance and reliability.

Mandatory Skills:

• Strong proficiency in Python, including libraries such as Pandas, Scikit learn, and PyTorch/TensorFlow.
• Extensive experience with machine learning and NLP techniques.
• Proficient in SQL and data handling skills.
• Experience working with customer and marketing data.
• Ability to work with unstructured data, particularly text and transcripts.

Preferred Skills:

• Experience in the telecom or subscription business sector.
• Familiarity with recommendation systems or uplift modeling.
• Knowledge of speech and call center analytics.

Thanks & Regards

Rahul Sharma | Team Lead

Amaze Systems Inc

E: |