Senior AI/ML Engineering Lead

Role Introduction

We’re looking for an experienced AI/ML Engineer to lead the development of our core machine

learning models and infrastructure. In this role, you will be at the forefront of building real-time

voice AI solutions with millisecond-level inference latencies .

You will optimize our multi-tenant platform’s ML systems for performance and scalability, including

GPU acceleration and data pipeline efficiency, ensuring enterprise-grade reliability for our clients.

Responsibilities

- Design, develop, and refine machine learning models that power our voice AI platform.

- Optimize real-time inference pipelines for low-latency, high-throughput performance in a

production environment.

- Leverage GPU acceleration techniques to improve inference speed and efficiency in a

multi-tenant SaaS environment.

- Clean, preprocess, and manage large datasets; build robust data engineering pipelines to feed

ML models.

- Implement and maintain CI/CD pipelines for continuous training, testing, and deployment of ML

models into production.

- Integrate large language models (LLMs) and other AI algorithms into our product offerings,

tailoring solutions for enterprise use cases.

- Collaborate with cross-functional teams to deploy ML solutions both in the cloud and

on-premises for enterprise clients, ensuring smooth integration and performance.

- Monitor model performance in production and iterate on improvements in accuracy, latency, and

scalability.

- Hire and lead your own AI/ML team.

Qualifications

- 5+ years of experience as an AI/ML Engineer or similar role, with a strong foundation in machine

learning algorithms and principles.

- Proven expertise in developing and deploying ML models in real-time inference settings (e.g.,

streaming, live data scenarios).

- Hands-on experience with GPU optimization and parallel computing (e.g., CUDA, tensor

libraries) to accelerate ML workloads in a SaaS product .

- Proficiency in Python (or similar language) and ML frameworks (TensorFlow, PyTorch, etc.), with

a focus on production-level code quality.

- Experience in data engineering: handling large datasets, writing ETL pipelines, and employing

data cleaning techniques to ensure high-quality input data.

- Knowledge of CI/CD tools and practices for machine learning (Docker, Kubernetes, Jenkins or

similar) to automate model deployment.- Familiarity with enterprise-level LLM applications and frameworks, and the ability to fine-tune or

customize models for specific industry needs.

- Experience setting up and deploying ML solutions in on-premises environments for enterprise

clients, including knowledge of relevant security and compliance considerations.

- Strong problem-solving skills and the ability to work in a fast-paced startup environment, taking

ownership of complex ML projects from concept to production.

Preferred Skills

- Experience with voice AI or speech-related ML (automatic speech recognition, text-to-speech,

NLP for voice).

- Familiarity with distributed computing frameworks and tools (Spark, Dask, Ray) for scaling model

training or inference.

- Knowledge of MLOps platforms and monitoring tools (MLflow, Kubeflow, Prometheus, etc.) for

tracking experiments and model performance.

- Understanding of multi-tenant cloud architecture and microservices as it relates to deploying AI

models at scale.

- Contributions to open-source ML projects or publications in AI conferences/journals.

- Strong communication skills for explaining complex ML concepts to non-technical stakeholders

and working with client teams on customization.

Why CozmoX AI?

-Innovative Domain: Work on cutting-edge voice AI technology in a rapidly growing field. Voice

AI is poised to create enormous new market opportunities , putting you at the forefront of an

industry boom.

-Startup Growth: Join a dynamic startup at an exciting scaling stage – your work will have a

direct, significant impact on the product and company direction.

-Ownership & Impact: Enjoy a high degree of ownership over projects, creative freedom to

experiment, and the chance to see your ideas quickly come to life in production.

-Collaborative Team: Be part of a small, passionate team of experts. You'll work closely with

founders and cross-functional colleagues in a supportive, low-bureaucracy environment.

-Personal Growth: Tackle complex, cutting-edge challenges that accelerate your learning. In

our fast-paced environment, you’ll grow your skill set and career alongside the company.

-Mission-Driven: Help enterprises transform how they use voice and AI in their operations,

delivering technology that can improve customer experiences and business efficiency.