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Machine Learning

Role overview

Qualifications

  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R

Responsibilities

  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements

About the company

RxCloud logo

RxCloud

RegTech (Regulatory & Compliance Technology)

RxCloud is a professional services organization focused exclusively on Pharma, Biotech and Medical device industries. We are a full-scale Quality Assurance Organization driving innovation & ensuring compliance across the industry. Our mission is to deliver Quality, Compliance, Innovation, Customer Experience, and speed that enables global Life Science industry to continuously innovate and significantly reduce drug development life cycle. We are specialized in providing the CSV services, GxP Audits (GMP, GDP, GLP, GCP, GVP) as a service, Veeva Services, Software Quality Assurance services. Our full spectrum of service offerings includes QMS Consulting, End to End Global Audit Management, CAPA management, SOP Authoring, QA as a service. RxCloud’s differentiation is bringing in speed and agility to achieve compliance first time and every time.

Company details

Company typeStartup
IndustryRegTech (Regulatory & Compliance Technology)
Company size11 - 50

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Job description

Job Description::

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering,

Responsibilities

  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field

Requirements and skills

  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Masters degree is a plus


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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