Machine Learning Engineer

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.
• Strong 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.