Senior Machine Learning Engineer
4 weeks ago
Job Title : Senior Machine Learning Engineer - Deep Generative Models
Location : Gurugram (Work From Office)
Job Type : Full-Time
About Us:
TrueFan is a leading innovator in the field of artificial intelligence and machine learning, dedicated to pushing the boundaries of technology to solve real-world problems. We are looking for a talented and motivated Machine Learning Engineer with a passion for deep generative models to join our dynamic team.
Job Description:
As a Machine Learning Engineer specializing in generative models and speech synthesis, you will design, develop, and implement advanced models such as GANs, VAEs, VQ-VAEs, and Autoencoders. Additionally, you will work on Text-to-Speech (TTS) systems and voice cloning technologies to enhance our products.
Responsibilities :
- Develop and implement generative models, including GANs, VAEs, VQ-VAEs, and Autoencoders.
- Design and optimize TTS systems and voice cloning algorithms.
- Conduct experiments to validate model performance and refine algorithms.
- Collaborate with cross-functional teams to integrate models into production systems.
- Analyze and interpret large datasets to guide model development.
- Stay updated with the latest research in deep generative models and speech synthesis.
- Document models, algorithms, and processes clearly and concisely.
- Participate in code reviews and contribute to the improvement of our codebase.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
- 2+ years of experience with deep generative models, including GANs, VAEs, VQ-VAEs, and Autoencoders.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Strong understanding of machine learning principles and statistical methods.
- Good to have experience with Text-to-Speech (TTS) systems and voice cloning technologies.
- Experience with data preprocessing, augmentation, and pipeline development.
- Excellent problem-solving skills and ability to work independently and collaboratively.
- Strong communication skills for conveying complex concepts to non-technical stakeholders.
Preferred Qualifications :
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Knowledge of reinforcement learning and its applications in generative models and speech synthesis.
- Familiarity with version control systems such as Git.
- Contributions to open-source projects or published research papers in relevant fields.
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