Job Description : Lead Machine Learning Engineer
Position : Lead Machine Learning Engineer
Experience Required : 9+ years
Job Locations : Bangalore and Chennai (Hybrid)
Responsibilities :
- Design, develop, and optimize machine learning models for NLP, Computer Vision (CV), and data-driven applications.
- Work with transformer architectures, multimodal AI models, and generative AI techniques.
- Implement end-to-end ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment.
- Design and develop 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 updated with the latest advancements in Speech LLMs, audio processing, and related AI fields.
- Document system design, code, and experimental results.
- Architect scalable, production-ready ML systems while integrating MLOps best practices.
- Set technical direction and ensure adherence to best practices in AI research, model deployment, and engineering scalability.
Required Skills :
9+ years of hands-on experience in Machine Learning, AI, or Deep Learning, with expertise in NLP, speech recognition (ASR), and text-to-speech (TTS).Knowledge of multimodal learning techniques for fusing audio and text information.Strong understanding of audio processing, including feature extraction, signal processing, and acoustic modeling.Experience with fine-tuning transformer models and developing training pipelines.Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.Familiarity with Docker, Kubernetes, Airflow, and serverless computing.Ability to build automated pipelines for model training, evaluation, and monitoring.Preferred Skills :
Experience with generative AI and large language models (LLMs).Knowledge of cloud platforms like AWS, GCP, or Azure for ML deployments.Strong problem-solving skills and ability to work in a collaborative environment.Work Mode : Hybrid (Bangalore / Chennai)
(ref : hirist.tech)