AI/ML Engineer at Rely Healthtech

0 - 4 years

5 - 15 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Designation:

Location: Gurugram

Required Years of experience: 0-4 years

Job Summary:

Responsibilities:

  • Study and transform data science prototypes into scalable ML solutions.
  • Design and implement machine learning systems for medical and hospital applications.
  • Research, evaluate, and implement appropriate ML algorithms and tools to solve complex healthcare challenges.
  • Develop ML applications according to project requirements and industry best practices.
  • Select and pre-process datasets using effective data representation methods.
  • Conduct rigorous machine learning tests, experiments, and statistical analysis.
  • Fine-tune ML models based on test results to improve accuracy and performance.
  • Train and retrain machine learning systems as needed to adapt to changing data patterns.
  • Extend and optimize existing ML libraries and frameworks for enhanced functionality.
  • Stay updated with the latest advancements and trends in ML, AI, and healthcare technology.

Requirements and Skills:

  • Proven experience as a Machine Learning Engineer or in a similar role, with hands-on experience in ML projects.
  • Strong background in machine learning, natural language processing (NLP), and data science.
  • Solid understanding of data structures, data modelling, and software architecture principles.
  • Deep knowledge of mathematics, probability, statistics, and algorithms.
  • Proficiency in writing robust code in Python for ML applications.
  • Experience working with AI platforms/tools such as OpenAI.
  • Skilled in cloud platforms like AWS and Azure for deploying and managing ML models.
  • Excellent communication skills to collaborate effectively with cross-functional teams.
  • Ability to work collaboratively in a team environment and contribute to project success.
  • Outstanding analytical and problem-solving abilities to tackle complex healthcare challenges.
  • Bachelor's degree in Computer Science, Mathematics, or a related field; a Masters degree is a plus.

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