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Machine Learning Engineer / Data Scientist

Salary undisclosed

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We're looking for a skilled Senior Data Scientist to join our team and drive innovation. You'll be instrumental in developing and implementing cutting-edge Data Science, Machine Learning and GenAI solutions.

Key Responsibilities:

  • Collaborate with cross-functional teams to develop cutting-edge LLM solutions.
  • Build robust data and deployment pipelines for ML models.
  • Develop and optimize ML models aligned with business objectives.
  • Document and communicate technical details effectively.
  • Contribute to strategic AI initiatives and technical decision-making.
  • Partner with clients and informatics departments to deliver scalable solutions.
  • Serve as a technical expert and troubleshoot complex issues.

Qualifications:

  • Proven experience in LLM applications development, including RAG solutions and code interpreters.
  • Proficiency in LLM fine-tuning.
  • Expertise in building data and deployment pipelines for LLM applications.
  • Strong foundation in ML/AI toolkits like AWS Sagemaker (experience with Pytorch, Tensorflow, Keras, MXNet, H20, etc. is a plus).
  • Familiarity with MLOps technologies (Sagemaker, Vertex AI, Kubeflow).
  • Experience with cloud solutions (AWS, Azure, Google Cloud Platform) and Docker.
  • Proven scripting and automation skills.
  • In-depth knowledge of Git, Bash, Linux, CI/CD tools, software lifecycle, RDB, and visualization tools.
  • Proficiency in Python, R, and test-driven development.
  • Strong problem-solving, decision-making, and interpersonal skills.
  • Customer-focused mindset and ability to work effectively in collaborative teams.
  • Experience with deploying scalable applications and working with clinical study data is a plus.

Education and Experience:

  • Master's degree in a quantitative field (e.g., mathematics, statistics, computer science, EE) or Life Sciences with significant computational experience.
  • 5+ years of working experience in Data Science.
  • 2+ years of commercial Data Engineering, ML Engineering, MLOps, or UI/UX engineering experience.
  • 3+ years of commercial software engineering experience.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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