Lead ML Engineer
- Veltris
- 8 - 13 years
- Chennai
- 18 days ago
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Job Description
Responsibilities:
- Design, develop, and optimize ML models for NLP, CV, and data-driven applications.
- Work with transformer architectures, multimodal AI models, and generative AI techniques.
- Implement ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment.
- Design and implement a Speech LLM-based virtual assistant
- Develop and maintain Python code for audio capture, encoding, modality fusion, LLM interaction, and text output.
- Integrate and configure pre-trained models for audio encoding, LLM and audio decoding.
- Stay up-to-date with the latest research and advancements in Speech LLMs, audio processing, and related fields.
- Document the system design, code, and experimental results Architect scalable, production-ready ML systems integrating MLOps best practices.
- Set technical direction, ensuring best practices in AI research, model deployment, and engineering scalability.
Required Skill:
- 5+ years of experience in ML, AI, or deep learning, with hands-on experience in NLP, speech recognition (ASR) and text to speech (TTS)
- Knowledge of multimodal learning and techniques for fusing audio and text information.
- Solid understanding of audio processing concepts, including audio feature extraction, signal processing, and acoustic modeling.
- Experience with fine-tuning transformer models and developing training pipelines.
- Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with Docker, Kubernetes, Airflow, and serverless computing.
Ability to build automated model training, evaluation, and monitoring pipelines
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: VeltrisLocation(s): Chennai
Keyskills: Training Model Machine Learning GCP Artificial Intelligence Natural Language Processing AWS Deep Learning Python
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