AI/ML Engineer

4 weeks ago

india PloPdo Full time

We are seeking a talented and experienced AI/ML Engineer with domain-specific

knowledge in multilingual audio signal and text processing, coupled with expertise in

data engineering and data processing pipelines. The ideal candidate will have a

strong background in artificial intelligence (AI) and machine learning (ML), with a

focus on audio signal processing, natural language processing (NLP), and

multilingual applications. This role requires proficiency in designing and

implementing robust data pipelines to handle large-scale multilingual datasets

effectively.


Responsibilities:

  • Design and develop AI/ML algorithms and models for multilingual audio signal and text processing tasks, including speech recognition, language identification, translation, sentiment analysis, and text-to-speech synthesis.
  • Implement advanced signal processing techniques for noise reduction, feature extraction, speaker diarization, and other audio preprocessing tasks to enhance the quality of audio data.
  • Develop NLP models and techniques for text preprocessing, tokenization, language detection, named entity recognition, and semantic analysis across multiple languages.
  • Design and implement scalable data engineering and processing pipelines to ingest, preprocess, and transform large-scale multilingual datasets for AI/ML model training and evaluation.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define project requirements, data schemas, and performance metrics for AI/ML models.
  • Optimize data pipelines for efficiency, scalability, and reliability, leveraging parallel processing, distributed computing, and cloud-based technologies as necessary.
  • Conduct exploratory data analysis (EDA) and feature engineering to extract relevant insights and patterns from multilingual audio and text data.
  • Evaluate and benchmark AI/ML models using appropriate metrics and evaluation methodologies, iterating on model design and hyperparameters to improve performance.
  • Document research findings, experimental results, and software development processes to contribute to project documentation and knowledge sharing within the team.
  • Stay updated with the latest advancements in AI/ML, signal processing, NLP, and data engineering through self-study, literature review, and participation in conferences and workshops.


Requirements:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering,
  • Linguistics, or a related field with a focus on AI/ML, signal processing, or NLP.
  • 4+ years of industry experience in AI/ML engineering, with a proven track record of designing and deploying AI/ML solutions in real-world applications.
  • Expertise in multilingual audio signal processing techniques, including noise reduction, feature extraction, speaker diarization, and audio preprocessing.
  • Strong proficiency in NLP techniques and algorithms for text preprocessing, tokenization, language detection, named entity recognition, and semantic analysis.
  • Experience in designing and building scalable data engineering and processing pipelines using tools and frameworks such as Apache Spark, Apache Beam, TensorFlow Extended (TFX), or similar.
  • Proficiency in programming languages such as Python FastAPI and experience with relevant libraries and frameworks for AI/ML development (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of distributed computing principles and experience with cloud-based platforms such as AWS, Azure, or Google Cloud Platform (GCP).
  • Strong analytical and problem-solving skills, with the ability to analyze complex multilingual audio and text datasets and derive actionable insights.
  • Excellent communication skills and the ability to collaborate effectively withcross-functional teams to drive project success.
  • A passion for innovation and a drive to push the boundaries of AI/ML technology in multilingual audio and text processing applications.

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