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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