Data Scientist at Eka Care

Short Description:

We're looking for a Data Scientist in Bengaluru to join our startup, Eka Care (Orbi Health), focused on revolutionizing healthcare technology. The ideal candidate should possess a strong background in machine learning, a passion for problem-solving, and a desire to thrive in a fast-paced startup environment. Responsibilities include implementing data-driven solutions within the HealthTech domain, such as extracting information from medical documents and collaborating with Large Language Models (LLMs) for AI-driven solutions. Requirements include a Bachelor’s or Master’s degree in a relevant technical field, 3-5 years of industry experience in ML pipelines, and a track record of project delivery. This role offers an exciting opportunity to innovate and make a meaningful impact in healthcare technology.

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Position: Data Scientist
Location: Bengaluru, India
Job type: Full-Time Position

About Us:

At Eka Care (Orbi Health), we are a well-funded startup dedicated to developing a suite of innovative technologies within the Healthcare sector. Our projects span from Electronic Medical Records (EMR) tailored for healthcare professionals to one of the most comprehensive Personal Health Record (PHR) applications for consumers. We are currently seeking experienced senior candidates who are passionate about advancing the field of image and text analysis within clinical data.

Candidate Profile:

We are seeking individuals who possess:

• A strong passion for problem-solving and the ability to take ownership of multiple projects.
• Deep knowledge and practical experience in machine learning.
• A desire to thrive in a fast-paced startup environment.

Key Responsibilities:

As a Data Scientist at Eka Care, your responsibilities will include:

• Formulating and implementing data-driven solutions within the HealthTech domain. Some of the ongoing projects include:
  • Extracting domain-rich information from medical documents.
  • Developing knowledge graphs for the medical domain.
  • Modeling clinical data and processing textual information.
  • Collaborating with Large Language Models (LLMs) to develop AI-driven solutions tailored for clinical contexts.

Qualifications / Requirements:

To be considered for this role, you must have:

• A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical discipline.
• 3-5 years of industry experience in building production-level Machine Learning pipelines. Key skills required include:
  • Statistical modeling.
  • Natural Language Processing (NLP).
  • Computer Vision.
  • Time series analysis.
  • Semantic technologies such as knowledge graphs and ontologies.
  • Bayesian networks.
  • Neural networks, with a specific focus on Large Language Models (LLMs).
• A proven track record of successfully delivering projects.
• The ability to work independently, innovate, and tackle ambiguous problems with enthusiasm.
• A strong sense of ownership and a commitment to continuous learning.
• Willingness to embrace rapid experimentation and a focus on delivering results.

Experience Required:

3-5 years of relevant experience in the field.

Please click here to apply.

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