Machine Learning & NLP Engineer

Company Overview

Company details are not specified.

Job Summary

We are seeking a Machine Learning & NLP Engineer to drive the development of large language models (LLMs), deep learning architectures, and speech processing systems. This role is critical for AI-driven healthcare solutions while ensuring high performance, accuracy, and compliance with healthcare standards.

Responsibilities

• Machine Learning & Deep Learning Development: Design and implement machine learning algorithms for healthcare AI applications. Build and optimize deep learning models to enhance AI-driven decision-making processes.
• LLM Fine-Tuning & Training: Develop, fine-tune, and train large and small language models to meet domain-specific requirements. Design robust data preparation and training pipelines for efficient model performance.
• LLM Architecture Expertise: Work with state-of-the-art LLM architectures such as Transformers, GPT models, LLaMA, and others. Research and implement novel enhancements to existing language models for better contextual understanding.
• Speech & NLP Project Execution: Implement speech-to-text and text-to-speech models for healthcare applications. Develop NLP solutions for intent prediction, sentiment analysis, and medical language translation.
• Programming & Development: Write and maintain high-performance Python code for ML/NLP applications. Utilize frameworks like PyTorch and TensorFlow to train and deploy AI models.
• Additional Contributions (Optional but Preferred): Apply advanced prompt engineering techniques for optimizing LLM interactions. Deploy ML models on cloud platforms (AWS, GCP, Azure) for scalability. Implement MLOps best practices, including CI/CD pipelines for ML and model monitoring.

Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience: 3+ years of experience in ML, NLP, or AI-driven model development. Proven track record of deploying LLM-based solutions in real-world applications.
• Industry Knowledge: Experience working in healthcare AI, health tech startups, or regulated industries is a plus.
• Certifications: Relevant certifications preferred (e.g., Google Professional ML Engineer, AWS Certified Machine Learning – Specialty).
• Location Preference: Candidates located in Bangalore will be given preference.
• University Background: Candidates from top universities are a plus.

Preferred Skills

• Strong experience in designing, training, and deploying ML/DL models.
• Hands-on experience in fine-tuning and optimizing large language models.
• Experience in developing NLP solutions and speech models.
• Advanced Python skills with proficiency in PyTorch and TensorFlow.
• Deep knowledge of modern transformer-based models.
• Demonstrated experience with cloud deployment, CI/CD for ML, and model monitoring.

Experience

• Years of Experience: 3+ years in machine learning, natural language processing, or AI-driven model development.

Environment

Work setting, location (remote, in-office, hybrid), and any physical or environmental conditions are not specified.

Salary

Estimated salary range is not specified.

Growth Opportunities

Potential career advancement opportunities within the company are not specified.

Benefits

Offered benefits such as insurance, paid leave, work policies, etc., are not specified.