Machine Learning Engineer
Our client, a fast-growing healthcare organization, are hiring a Machine Learning Engineer to join the team in New York or San Francisco. The successful candidate will play a key role in shaping the future of conversational AI by driving meaningful improvements in patient outcomes and transforming the way healthcare systems engage and communicate.
Responsibilities
Develop and implement machine learning models tailored for SMS and voice-enabled conversational AI.
Create scalable pipelines to support data ingestion, model training and real-time deployment.
Fine-tune large language models using healthcare-focused datasets to enhance accuracy and relevance.
Collaborate with full-stack engineering teams to seamlessly integrate AI capabilities into core product experiences.
Lead the full lifecycle of model deployment, including monitoring, troubleshooting and iterative optimization.
Continuously explore emerging AI/ML technologies and healthcare innovations to keep their solutions cutting-edge.
Skillset
At least 4 years of experience in AI/ML engineering, with a strong focus on NLP, large language models and conversational AI.
Proven track record of deploying ML models into production, preferably within healthcare or other regulated industries.
Proficient in Python and experienced with ML frameworks such as TensorFlow and PyTorch.
Strong skills in fine-tuning LLMs, prompt engineering and integrating models into real-world applications.
Comfortable working with cloud platforms (e.g. AWS, Azure, GCP) and knowledgeable in MLOps practices for scalable deployments.
Experience with voice and speech-based technologies, including recognition and generation.
Hands-on background in designing and implementing conversational AI solutions.
Exceptional analytical and communication abilities.
Familiarity with HIPAA compliance and handling of sensitive healthcare data is a bonus.
Benefits
Competitive Salary.
Equity.
Remote working.
Comprehensive healthcare package.
52560
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