Machine Learning Engineer

Coxvi Technologies; Bengaluru; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

Coxvi Technologies is seeking an experienced AI/ML Engineer specializing in multilingual audio and NLP. You will design and deploy models for speech recognition, language identification, and translation, and build scalable data pipelines to handle large multilingual datasets.

The role requires hands-on modeling, fine-tuning, and evaluation using PyTorch and TensorFlow, plus experience with Spark/Beam and cloud platforms.

Qualifications

• 4+ years of professional AI/ML engineering experience.
• Strong programming skills in Python.
• Hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, 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 Spark, Beam, or TFx or similar.
• Experience with FastAPI or similar frameworks.
• Understanding of distributed computing and cloud platforms (AWS/Azure/GCP).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design and develop AI/ML models for multilingual audio and text processing (speech recognition, language ID, translation, sentiment analysis, TTS).
• Implement audio signal processing techniques (noise reduction, feature extraction, speaker diarization).
• Develop NLP solutions for text preprocessing, tokenization, language detection, NER, and semantic analysis across languages.
• Build scalable data pipelines to ingest, preprocess, transform and manage large multilingual datasets.
• Train, fine-tune, evaluate, and optimize ML/DL models.
• Collaborate with cross-functional teams to define project requirements, data schemas, and metrics.
• Optimize data pipelines using parallel/distributed computing and cloud technologies.
• Perform EDA, feature engineering, model benchmarking, and hyperparameter tuning.
• Document research findings and experiments.
• Stay updated with advancements in AI/ML, NLP, audio processing, and data engineering.

Skills

Python programming

Analytical skills

Communication skills

Education

Bachelor's degree in CS/EE/Linguistics or related

Master's degree in CS/EE/Linguistics or related

Tools

PyTorch

TensorFlow

scikit-learn

Apache Spark

Apache Beam

TFX

FastAPI

AWS

Azure

GCP

Job description

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.