Machine Lerning Engineer

New York, New York

  Machine Learning

Permanent

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

related jobs