Senior Artificial Intelligence Engineer, Mursion

• 8+ years of experience as a Machine Learning Engineer, AI Engineer, or a related role
• Proven experience developing and deploying ML/AI capabilities into production for real users
• Strong programming skills in Python and/or JavaScript/TypeScript. Expertise in one and willingness to learn the other is essential
• Deep understanding of core MLOps and modern software architecture for ML-based applications
• Proficiency in data structures, algorithms, and statistical methods
• Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes)
• Knowledge of DevOps practices and CI/CD pipelines
• Strong data intuition with the ability to make informed decisions based on data insights
• Product-minded, with a focus on delivering solutions that meet user needs and drive business impact
• Enthusiastic about applying AI to solve real-world business problems

Desirable

• As an AI Engineer, you will play a crucial role in developing and deploying AI models and systems that drive our products and services
• You will work primarily with large language models (LLMs), voice synthesis, and automatic speech recognition (ASR) models
• Additionally, you will utilize AI agent frameworks and real-time technologies to create and optimize intelligent agents
• Develop and maintain AI-driven real-time speech-to-speech agents by collaborating closely with product, design, and research teams
• Ship low-latency, high-impact features that enhance our user experience
• Drive core improvements to our AI infrastructure, including optimizing large language models (LLMs), automatic speech recognition (ASR), and text-to-speech (TTS) pipelines
• Execute on major projects from concept to production, with a focus on delivering impactful features with measurable product outcomes
• Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver AI-driven solutions that meet the needs of our AI strategy
• Preprocess and analyze large datasets to extract meaningful insights and features for model training and evaluation
• Implement and optimize algorithms for performance, scalability, and efficiency
• Monitor and maintain AI models and systems in production, ensuring their accuracy and robustness over time
• Stay up-to-date with the latest advancements in generative AI and machine learning technologies, and integrate them into existing systems
• Conduct research to explore new AI techniques and methodologies that can benefit the organization
• Participate in code reviews, testing, and debugging to ensure high-quality deliverables