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Lead ML Engineer | Codersbrain

full-timecontractual
Posted on July 25, 2025

Job Description

Lead ML Engineer

Company Overview

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Job Summary

The Lead Machine Learning Engineer will play a critical role in driving innovative solutions in machine learning, artificial intelligence, and deep learning. This position emphasizes hands-on experience as the leader will be responsible for enhancing multimodal learning systems, specifically focusing on natural language processing (NLP), automatic speech recognition (ASR), and text-to-speech (TTS). The role involves developing and refining models to deliver high-quality audio and text processing capabilities.

Responsibilities

  • Develop and implement machine learning models for NLP, ASR, and TTS applications.
  • Fine-tune transformer models and construct efficient training pipelines.
  • Design and execute algorithms that effectively fuse audio and text information.
  • Build automated pipeline systems for model training, evaluation, and monitoring.
  • Conduct audio processing tasks including feature extraction, signal processing, and acoustic modeling.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.

Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: 9+ years in machine learning, artificial intelligence, or deep learning.
  • Technical Skills:
    • Proficiency in programming with Python and strong knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
    • Experience with Docker, Kubernetes, Airflow, and serverless computing.
    • Familiarity with multimodal learning techniques and audio processing concepts.

Preferred Skills

  • Knowledge of advanced machine learning algorithms and data processing techniques.
  • Experience with cloud platforms and APIs for deploying machine learning models.

Experience

  • Minimum of 9 years of relevant industry experience in ML, AI, or deep learning.

Environment

  • This role will entail on-site work in either Chennai or Bangalore, requiring collaboration with local and remote teams.

Salary

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Growth Opportunities

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Benefits

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