Join our Analytics Research team and help shape next-generation Customer Engagement and Interaction Analytics solutions. You will design, research, and productionize advanced NLP and agent-based AI capabilities that autonomously reason, plan, and act across complex customer interaction workflows.
Youll work end-to-end-from foundational research and rapid experimentation to scalable deployment-building systems that combine LLMs, tools, memory, and orchestration to deliver trusted, enterprise-grade AI used by customers worldwide.
What Youll Do:
Research, design, and develop state-of-the-art NLP, LLM, and Agentic AI systems
Build and evolve autonomous and semi-autonomous agents for interaction analysis and customer engagement use cases
Advance analytics capabilities using reasoning, planning, tool use, and multi-agent collaboration
Tackle complex research problems over large-scale conversational and multimodal data
Collaborate on broader analytics initiatives, including scalable ML systems and data-intensive pipelines
Design and run experiments, evaluate agent behavior and model quality, and communicate results clearly
Take solutions from prototype to production, balancing research innovation with robustness and performance
Youll work end-to-end-from foundational research and rapid experimentation to scalable deployment-building systems that combine LLMs, tools, memory, and orchestration to deliver trusted, enterprise-grade AI used by customers worldwide.
What Youll Do:
Research, design, and develop state-of-the-art NLP, LLM, and Agentic AI systems
Build and evolve autonomous and semi-autonomous agents for interaction analysis and customer engagement use cases
Advance analytics capabilities using reasoning, planning, tool use, and multi-agent collaboration
Tackle complex research problems over large-scale conversational and multimodal data
Collaborate on broader analytics initiatives, including scalable ML systems and data-intensive pipelines
Design and run experiments, evaluate agent behavior and model quality, and communicate results clearly
Take solutions from prototype to production, balancing research innovation with robustness and performance
Requirements:
M.Sc. or Ph.D. in Computer Science, AI, Data Science, or equivalent practical experience
2-3+ years of industry experience in applied ML, NLP, or AI research
Strong foundation in Machine Learning, Deep Learning, and modern LLM-based architectures
Hands-on experience with PyTorch and/or TensorFlow
Proven experience with NLP and transformer-based models
Familiarity with or strong interest in Agentic AI concepts (tool use, planning, memory, orchestration, evaluation)
Strong problem-solving skills and algorithmic thinking
Excellent programming abilities and experience delivering production-quality systems
Proven ability to design experiments, analyze results, and present insights
Strong collaboration and communication skills
Nice to Have:
Experience building or evaluating LLM-based agents or multi-agent systems
Experience owning full ML lifecycles in production environments
Familiarity with large and complex codebases and system-level design
Experience with Linux/Windows, cloud platforms (AWS, Azure), and scalable AI infrastructure
Background in speech analytics, conversational AI, or customer interaction data
M.Sc. or Ph.D. in Computer Science, AI, Data Science, or equivalent practical experience
2-3+ years of industry experience in applied ML, NLP, or AI research
Strong foundation in Machine Learning, Deep Learning, and modern LLM-based architectures
Hands-on experience with PyTorch and/or TensorFlow
Proven experience with NLP and transformer-based models
Familiarity with or strong interest in Agentic AI concepts (tool use, planning, memory, orchestration, evaluation)
Strong problem-solving skills and algorithmic thinking
Excellent programming abilities and experience delivering production-quality systems
Proven ability to design experiments, analyze results, and present insights
Strong collaboration and communication skills
Nice to Have:
Experience building or evaluating LLM-based agents or multi-agent systems
Experience owning full ML lifecycles in production environments
Familiarity with large and complex codebases and system-level design
Experience with Linux/Windows, cloud platforms (AWS, Azure), and scalable AI infrastructure
Background in speech analytics, conversational AI, or customer interaction data
This position is open to all candidates.
