Machine Learning Engineer

4 weeks ago

Bangalore, India Gloify Full time

Job Description :

We are seeking a talented Deep Learning Engineer with 3-5 years of experience to join our team. The ideal candidate will have a strong background in computer vision, natural language processing (NLP), audio processing, and generative models. You will be responsible for developing and implementing cutting-edge deep learning algorithms to solve challenging problems in various domains including but not limited to computer vision, NLP, and audio processing. Additionally, experience with lips syncing algorithms and data annotation and labeling will be highly beneficial for this role.

Key Responsibilities :

  • Develop and implement deep learning models for computer vision tasks such as object detection, image segmentation, and image classification.
  • Utilize NLP techniques to extract insights from unstructured text data and develop applications such as sentiment analysis, named entity recognition, and text summarization.
  • Design and implement deep learning models for audio processing tasks including speech recognition, speaker identification, and emotion recognition.
  • Explore and implement generative models for tasks such as image generation, text generation, and audio synthesis.
  • Develop lips syncing algorithms to synchronize audio with corresponding lip movements in videos.
  • Collaborate with cross-functional teams to gather and annotate data for training and validation purposes.
  • Utilize facial feature extraction, landmark detection, and face alignment techniques to enhance computer vision applications.
Required Skills and Qualifications :
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
  • 3-5 years of experience in deep learning and neural networks.
  • Proficiency in Python programming and deep learning frameworks such as TensorFlow or PyTorch.
  • Strong understanding of computer vision techniques and algorithms.
  • Experience with natural language processing techniques such as tokenization, word embeddings, and recurrent neural networks.
  • Familiarity with audio processing techniques and libraries such as Librosa or PyDub.
  • Knowledge of generative models including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
  • Experience with lips syncing algorithms and techniques.
  • Familiarity with data annotation and labeling tools and methodologies.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
Preferred Qualifications :

  • Experience with deep learning deployment frameworks such as TensorFlow Serving or ONNX.
  • Knowledge of cloud computing platforms such as AWS or Azure.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Contributions to open-source deep learning projects or publications in relevant conferences or journals.


(ref:hirist.tech)

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