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Senior Data Scientist - Machine Learning

Senior Data Scientist - Machine Learning

Glowtouch Technologies Private Limited
7-12 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Senior Data Scientist - Machine Learning (Remote)

Join UnifyCX and Shape the Future of AI-Powered Customer Experience!

Who We Are:

At UnifyCX, we are redefining customer experience (CX) through cutting-edge AI and automation. With a global presence spanning the U.S., India, Colombia, Jamaica, and more, we provide top-tier AI-driven contact center and business process solutions. Now, we're looking for a Senior Data Scientist - ML to help us push the boundaries of AI innovation and automation.

Why Join Us

Work remotely with a diverse, global AI team.

Drive innovation by building domain-aware ML models for text, speech, and multimodal AI copilots.

Own your impact in a fast-paced, Agile engineering environment.

Your Role:

As a Senior Data Scientist - ML, you will:

  • Develop state-of-the-art AI models using Transformers, NLP, and Deep Learning.
  • Design and train multi-modal ML models (text, audio, context) for real-world applications.
  • Optimize model performance for accuracy, efficiency, and scalability.
  • Analyze large-scale datasets to generate strategic business insights.
  • Collaborate cross-functionally with ML engineers, software developers, and product teams to build AI-powered solutions.
  • Stay ahead of AI trends and prototype emerging ML techniques.

What You Need:

7+ years of experience in applied ML & data science (5+ years post-Master's, 2+ years post-Ph.D.)

Strong Python programming (PyTorch, TensorFlow)

Hands-on experience with NLP, Transformers, Speech & Text Processing

Proficiency in SQL & data visualization (Tableau, Power BI)

Expertise in Transfer Learning, RLHF, Zero-Shot Learning

Experience with MLOps, Git, JIRA, and large-scale AI model deployments

Bonus Points:

Experience in AI Ethics, Bias Detection, Content Filtering

Contributions to open-source AI/ML projects

Background in real-time audio processing & streaming technologies

Key Skills

machine learning & deep learning

MLOps & Software Engineering

Real-Time Processing

ML Model Optimization

Big Data & Distributed Systems

Domain-Specific Training Data Creation

SQL & Data Analytics:

AI Ethics & Guardrails