Machine Learning Engineer

2 weeks ago

india Aiverbalyze Technologies Private Limited Full time

PAID INTERSHIP FOR SOFTWARE DEVELOPERS


About Us: We are a fast-growing and innovative tech company specializing in AI-driven solutions. Our mission is to revolutionize the way businesses interact with their customers. As a part of our team, you'll have the opportunity to work on cutting-edge projects, gain hands-on experience, and contribute to the development of AI-powered products.

Job Description: As an AI Intern, you will be an integral part of our dynamic and talented development team. You will work closely with experienced AI engineers to design, develop, and optimize AI-driven applications using Python, Django, NLP, PyTorch, and TensorFlow. This internship offers a unique chance to apply your technical expertise to real-world projects, gain practical knowledge, and contribute to the growth of our AI solutions.


Responsibilities:

  • Design and develop optimized frameworks for TTS, VC, ASR, and LLM, Vision models (Mask R-CNN, YOLO series) leveraging techniques such as quantization, caching mechanisms, and asynchronous functions to achieve low latency and high performance.
  • Contribute to the research and development of advanced generative AI models such as LLM’s , GANs, VAEs, Diffusion Models, and novel architectures.
  • Fine-tune and optimize pre-trained models (e.g., BERT, Transformers, Diffusion Models) for specific audio and language tasks, ensuring high accuracy and robustness.
  • Integrate and deploy models using frameworks such as ONNX, TensorFlow, PyTorch, and Hugging Face, ensuring seamless integration with production environments.
  • Implement MLOps practices, including version control (Git), continuous integration/continuous deployment (CI/CD), model monitoring, and model serving.
  • Collaborate with cross-functional teams, including researchers, engineers, and product managers, to align research efforts with business goals and ensure successful implementation of developed technologies.
  • Stay up-to-date with the latest advancements in machine learning, audio processing, and natural language processing, and contribute to research and development efforts.


Requirements:

  • Strong focus on machine learning, audio processing, and natural language processing.
  • Proven experience in developing and deploying machine learning models for audio and language applications, with a deep understanding of state-of-the-art techniques and algorithms.
  • Proficiency in programming languages such as Python or C++, and relevant machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face, ONNX).
  • Experience with MLOps practices, including version control (Git), CI/CD, model monitoring, and model serving.
  • Knowledge of cloud platforms (e.g., Azure, GCP, AWS) and deployment tools.
  • Strong research background, with publications in reputable conferences and journals related to machine learning, audio processing, and natural language processing (not required).
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.


Benefits:

  • Monthly Stipend
  • Gain hands-on experience working on AI-driven projects.
  • Opportunity for future full-time employment based on performance during the internship.
  • Flexible work hours and remote work options.
  • Chance to contribute to cutting-edge AI solutions with real-world impact.


Note: Only shortlisted candidates will be contacted for further evaluation. This is a paid internship position with the potential for a full-time job offer based on performance and company requirements.

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