Offer summary

Qualifications:

Proven experience as a Machine Learning Engineer or similar role., BSc in Computer Science, Mathematics or a related field; a Master's degree is a plus., Deep knowledge of math, probability, statistics, and algorithms., Ability to write robust code in Python, Java, and R, with familiarity in ML frameworks like Keras or PyTorch..

Key responsabilities:

Create and retrain machine learning models and systems.

Design and implement machine learning applications based on requirements.

Conduct statistical analysis and fine-tune models using test results.

Research and select appropriate ML algorithms, tools, and datasets.

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.

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

Required profile