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