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Open nowPosted 430 days ago

Machine Learning Engineer

Jigsaw2 open roles

Where
Bangalore
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Your applicationOpen nowMachine Learning EngineerJigsaw · Bangalore

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Jigsaw postings stay open a median of 7 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 430 days ago

Jigsaw median: 7 days open

The posting

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.

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