At a Glance
- Tasks: Build real-time voice and video agents using cutting-edge machine learning models.
- Company: Join a forward-thinking tech company revolutionising AI interactions.
- Benefits: Enjoy flexible work options, creative freedom, and access to the latest technologies.
- Why this job: Be at the forefront of AI innovation, shaping human-centric technology with a vibrant team.
- Qualifications: Strong experience in speech technologies and proficiency in Python and ML frameworks required.
- Other info: Ideal for those passionate about creativity and real-time performance in AI.
The predicted salary is between 43200 - 72000 £ per year.
Looking fro an engineer to build real-time voice and video agents using advanced machine learning models, integrating speech recognition, natural language understanding, and text-to-speech systems. Your work will also involve facial animation and avatar rendering, with a focus on performance and real-time responsiveness. Essential Skills- Strong experience with speech technologies (e.g., Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and passion for building human-centric AI.Desirables- Experience with LLMs and conversational AI frameworks (e.g., Rasa, LangChain). Knowledge of emotion detection, prosody modeling, or affective computing. Familiarity with Unity, Unreal Engine, or WebGL for avatar rendering
AI Engineer- Voice and Video Agent employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer- Voice and Video Agent
✨Tip Number 1
Make sure to showcase your hands-on experience with speech technologies like Whisper or DeepSpeech. Highlight any projects where you've successfully integrated these systems, as practical examples can really set you apart.
✨Tip Number 2
Familiarise yourself with the latest advancements in video synthesis and avatar animation. Being able to discuss tools like DeepMotion or NVIDIA Omniverse in detail will demonstrate your commitment and knowledge in this niche area.
✨Tip Number 3
Engage with the AI community by participating in forums or attending webinars related to real-time systems and GPU acceleration. Networking with professionals in the field can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Showcase your creative mindset by sharing any personal projects or contributions to open-source initiatives that involve human-centric AI. This not only highlights your skills but also your passion for the field.
We think you need these skills to ace AI Engineer- Voice and Video Agent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with speech technologies and machine learning frameworks. Include specific projects or roles where you've worked with tools like Whisper, DeepSpeech, or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building human-centric AI. Mention any relevant projects involving voice and video agents, and how your skills align with the job requirements.
Showcase Relevant Projects: If you have worked on projects related to video synthesis, avatar animation, or real-time systems, be sure to include these in your application. Provide links to your portfolio or GitHub if applicable.
Highlight Soft Skills: Don’t forget to mention your creative mindset and ability to work collaboratively. These soft skills are essential for a role that involves innovative AI development and teamwork.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with speech technologies and machine learning frameworks. Bring examples of projects you've worked on, especially those involving real-time voice and video agents, to demonstrate your proficiency.
✨Demonstrate Creativity
Since the role requires a creative mindset, think of innovative solutions or unique projects you've undertaken. Be ready to share how you approached challenges in building human-centric AI applications.
✨Familiarise Yourself with Relevant Tools
Make sure you know the tools mentioned in the job description, such as DeepMotion or NVIDIA Omniverse. If possible, try to get hands-on experience with these technologies before the interview to discuss them confidently.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, particularly in real-time systems and GPU acceleration. Practice explaining your thought process clearly and concisely, as this will showcase your analytical abilities.