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Applied Scientist

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Spain

Offer summary

Qualifications:

Five years of experience in machine learning, Proficiency in Python for ML and backend development, Knowledge of LLM technologies, Experience in startup environments, Familiarity with healthcare data.

Key responsabilities:

  • Develop core product with the founding team
  • Experiment with foundational LLMs and advanced prompting techniques
  • Fine-tune and deploy models for performance and latency
  • Implement monitoring and best practices for generative AI
  • Collaborate with engineering, clinical, and product teams
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techruiter. Hrtech: Human Resources + Technology Startup https://www.techruiter.io/
11 - 50 Employees
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Job description

About Us

We address the shortage of skilled labor in critical areas, such as healthcare, by developing AI assistants capable of handling tasks that traditionally require human intelligence. We seek a motivated Applied ML Scientist to help us advance LLM and knowledge-based systems.

About You
An ideal candidate for this Applied ML Scientist role would:

- Have at least five years of experience in machine learning, especially in product-oriented companies.
- Be highly skilled in Python for machine learning and backend development within production environments.
- Demonstrate enthusiasm for staying current with the latest advancements in AI and LLM technologies.
- Exhibit humility, a collaborative attitude, and a willingness to support team goals.
- Be comfortable with taking ownership and working independently within a fast-paced startup environment.

Preferred Qualifications
- Experience in an early-stage startup.
- Knowledge of healthcare data and electronic health records.

About the Role
- As an Applied ML Scientist, you’ll work closely with the founding team to develop our core product and support team growth.


  • - Experimenting with foundational LLMs, advanced prompting techniques (e.g., ReAct), and integrating these with external data and knowledge sources.
  • - Fine-tuning and deploying models while balancing performance and latency.
  • - Implementing monitoring, setting guardrails, and establishing best practices for production-level generative AI.
  • - Developing reproducible experimentation pipelines to benchmark LLM-based agents, enabling quick iterations.
  • - Collaborating closely with engineering, clinical, and product teams to translate business needs into technical solutions

    • Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Industry :
    Hrtech: Human Resources + Technology
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Machine LearningProperty OwnershipSoftware EngineeringPython (Programming Language)Electronic Health Record ImplementationHealth Data Specialists

    Other Skills

    • Problem Solving
    • Collaboration
    • Adaptability
    Are you interested?

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