Machine Learning Engineer

Machine Learning Engineer – Conversational AI (Voice Assistant) • 6-month Contract as a W2 employee of Talent Groups. Please, no C2C. • Hybrid, 2 days onsite in Plano, TX 75024. We are looking for a Machine Learning Engineer to help design and build next-generation, voice-driven virtual assistants for automotive applications. This role is ideal for someone who is passionate about speech technologies, advanced machine learning, and creating AI solutions that directly improve real-world user experiences. What You’ll Do • Design, implement, and optimize an end-to-end speech-based virtual assistant powered by large language models (LLMs). • Evaluate and benchmark speech-native models for in-vehicle applications. • Fine-tune AI models for the automotive domain to improve accuracy and adaptability. • Develop frameworks that connect the assistant with vehicle systems and controls. • Optimize AI models for edge devices and specialized automotive hardware. • Build and maintain Python-based pipelines for audio preprocessing, model integration, and performance optimization. • Document architectures, benchmarking results, and optimization strategies. • Manage the full model lifecycle: data preparation, training, evaluation, and deployment. • Collaborate in an Agile Scrum environment to rapidly prototype and deliver innovative solutions. What We’re Looking For • 3+ years of hands-on experience in Machine Learning in a professional setting. • Strong knowledge of speech AI, including speech-to-text (ASR), text-to-speech (TTS), and voice-to-voice architectures. • Experience optimizing models for edge devices (model quantization, efficiency improvements). • Solid background in audio processing, feature extraction, noise handling, and acoustic modeling. • Proficiency with ML frameworks such as PyTorch or TensorFlow. • Experience with transformer models and fine-tuning pipelines (Hugging Face, distributed training). • Familiarity with multimodal learning (combining audio + text via attention mechanisms). • Skilled in audio processing libraries (TorchAudio, Librosa). • Strong problem-solving skills and ability to drive projects to completion. • Collaborative team player with experience working across engineering, product, and design teams. To save time applying, we do not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently.