About the Role
Looking for a strong AI / ML resource who will be responsible for designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. The ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology.
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 optimize machine learning models
Collaborate with cross-functional teams to integrate machine learning models into production systems
Stay up-to-date with the latest developments in the field of AI and machine learning
Requirements
Bachelor's or Master's degree in Computer Science, Mathematics, or related field
3-5 years of experience in machine learning and data science
Strong programming skills in Python, Java, or C++
Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
Experience with data visualization tools such as Tableau or Power BI
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
About the Company
Our Client is a Data to Insights R&D and Engineering Lab company guiding its customers in developing GenAI, Advanced Analytics, Insights Applications, and Solutions, through Consulting, Advisory, Engineering, and Talent Services. Having a vertical focus on Life Science, Pharma, BioPharma, and Biotech Industries and assisting them with the acceleration of Drug Discover, Commercialization, and Patient care through Data & GenAI solutions and services.