Job Title: AI/ML Engineer Multilingual Audio & NLP

Experience: 4+ years

Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Linguistics, or a related field.

Job Summary

We are looking for an experienced AI/ML Engineer with expertise in multilingual audio signal processing, text and transcription processing, Natural Language Processing (NLP), Large Language Models (LLMs), and data engineering pipelines.

The ideal candidate should have hands-on experience in developing and deploying AI/ML solutions, training and fine-tuning machine learning models, processing multilingual datasets, and building scalable data pipelines.

Key Responsibilities

- Design and develop AI/ML models for multilingual audio and text processing, including speech recognition, language identification, translation, sentiment analysis, and text-to-speech synthesis.
- Implement audio signal processing techniques such as noise reduction, feature extraction, speaker diarization, and audio preprocessing.
- Develop NLP solutions for text preprocessing, tokenization, language detection, named entity recognition, and semantic analysis across multiple languages.
- Build scalable data engineering pipelines to ingest, preprocess, transform, and manage large-scale multilingual datasets.
- Train, fine-tune, evaluate, and optimize machine learning and deep learning models.
- Work with cross-functional teams to define project requirements, data schemas, and model performance metrics.
- Optimize data pipelines using parallel processing, distributed computing, and cloud technologies.
- Perform exploratory data analysis (EDA), feature engineering, model benchmarking, and hyperparameter tuning.




- Document research findings, experiments, and development processes.
- Stay updated with advancements in AI/ML, NLP, audio processing, and data engineering.

Required Skills and Qualifications

- 4+ years of professional experience in AI/ML engineering.
- Strong programming skills in Python.
- Hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Experience in multilingual audio signal processing and transcription applications.
- Solid understanding of NLP, speech recognition, language detection, and text processing.
- Experience with model training and fine-tuning techniques.
- Knowledge of LLMs and their practical applications.
- Experience building scalable data pipelines using Apache Spark, Apache Beam, TensorFlow Extended (TFX), or similar technologies.
- Experience with Python FastAPI or similar frameworks.
- Understanding of distributed computing and cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Strong analytical, problem-solving, and communication skills.

Preferred Expertise

- Speaker diarization and audio preprocessing.
- Multilingual speech-to-text and text-to-speech systems.
- Video, image, and audio signal processing.
- Large-scale data processing and model evaluation.

Education Bachelor's or Master's degree in Computer Science, Electrical Engineering, Linguistics, or a related field focused on AI/ML, signal processing, or NLP.

Important Note

Candidates should have practical experience in model development, training/fine-tuning, multilingual audio or transcription processing, and scalable data pipelines.

Interested candidates with relevant experience are encouraged to apply.

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