unifyCX is Hiring! Urgent Opening For-Staff AI/ML Engineer - Tech Lead

Staff AI/ML Engineer - Tech Lead

About Us

The AI Engineering team at UnifyCX is looking for a motivated, challenge driven Staff AI/ML Engineer to join us in building our next-gen omnichannel CX delivery and process automation platform Lightbird.

We are a pioneering company at the intersection of technology and human-centric services, delivering innovative AI solutions that empower businesses to transform customer experience at scale.

Role Overview

You will architect and lead the development of advanced, production-grade ML solutions that push the boundaries of AI-human interaction. Your focus will be on crafting domain-aware, multi-modal AI copilotsspanning text, audio, and image modalities—that handle complex challenges such as domain aware intent recognition, content intelligence, and conversational analytics. On the average day, you will be building, deploying, or maintaining robust ML pipelines that perform reliably in a high-traffic production environment. You deal well with ambiguity, prioritizing needs, and delivering results in a dynamic environment!

Qualifications

Required

Master’s degree in machine learning, statistics, engineering or equivalent field.

• 5+ years of building practical machine learning models for business application experiences for at least one of the following: language/ audio/image/ time series tasks.
• Proficient in a programming language like Python.
• Hands-on familiarity with ML development libraries like PyTorch/TensorFlow, and ML version control for reproducible training, governance, and experiment tracking.
• Ability to design, build, test, and maintain customer-facing production ML solutions on GCP/AWS/Azure.
• Adept at leading teams in diagnosing and resolving intricate ML and systems-level challenges under time constraints.

Preferred

• Ph.D. in machine learning, statistics, engineering or equivalent field.
• Experience with guardrails for responsible AI deployment in high-compliance sectors.
• Contributions to open-source AI projects or notable academic publications.
• Experience scaling ML workloads via distributed architectures.
• Familiarity with real-time model processing and low-latency model inference.

We welcome all

UnifyCX strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We want to know what only you can bring to Unify.