Barrington James is seeking a talented Senior Machine Learning Engineer for one of our key clients based in Florida. Our client is a global leaders in medical device innovation and education, and make a real impact on patient care. you'll play a pivotal role in helping surgeons treat their patients better with data-driven insights and cutting-edge technology.
Responsibilities:
- Collaborate with data engineers and domain experts to understand data quality, identify issues, and propose solutions. Apply statistical and ML techniques to analyze and organize data sources.
- Design ML solutions and acceptance criteria with business leaders and ML engineers. Conduct experiments and demonstrate the feasibility of your proposed solutions.
- Partner with domain experts and ML engineers to deliver ML solutions into clinical workflows. Integrate analytics and ML tools with external partners.
- Communicate actionable insights from data to stakeholders, translating complex findings into clear, impactful messages.
- Participate in model verification, deployment, and monitoring procedures. Support quality system audits by external agencies.
- Identify and explore emerging technologies to support future opportunities. Oversee and manage relevant publications in the field of ML.
- Collaborate within a software agile (SDLC) framework to ensure project efficiency and success.
Requirements:
- Hold a Master's degree in a related field (Statistics, Applied Math, Engineering, Physics)
- possess broad technical expertise in machine learning methods (e.g., TensorFlow, PyTorch, scikit-learn), including design and implementation trade-offs. You should be able to translate business needs into effective ML solutions while considering computational efficiency, explainability, and scalability.
- Demonstrate a deep understanding of statistical techniques for data analysis and hypothesis testing, proficiently utilizing tools like R or Python libraries for data exploration, cleaning, transformation, and modeling.
- Be comfortable utilizing various programming languages relevant to data science and machine learning (e.g., Python, R, Java), as well as data engineering tools like Spark or Hadoop for large-scale data processing. Experience with cloud platforms like AWS, Azure, or GCP is a plus.
- Demonstrate proficiency in agile software development practices (e.g., Scrum, Kanban), collaborating effectively with developers and engineers to implement ML solutions in production environments.
Desirable:
- A PhD is a plus, especially in a field related to computer science, engineering, or statistics.
- 7+ years of relevant experience in data science or machine learning.
- Experience in the medical device industry is massive a plus.
Please note: This role is onsite in Naples, Florida 5 days a week, however, is potentially open to being flexible for the right individual and paying between $130,000 to $170,000 with great bonuses and benefits available.
Interested? If so, please apply with your CV and we shall be in-touch to arrange a call.
