SE- Data Science

Company Overview:

BOLD is revolutionising the career landscape by empowering individuals to discover and develop their professional paths. Our recent acquisitions of Monster and CareerBuilder will expand our global reach and impact. With a range of brands like FlexJobs, Zety, and Sonara and more, we provide job seekers with the tools to create impressive resumes and connect with employers. BOLD fosters a dynamic, inclusive culture that prioritises innovation and growth. So don't wait and join us in shaping the future of work and redefining successful careers.

Key Responsibilities:

Demonstrate ability to work on data science projects involving predictive modelling, NLP,

statistical analysis, vector space modelling, machine learning etc.

Leverage our rich data sets of user data to perform

research, develop models and create data

products with our Development & Product teams

Develop novel and scalable data systems in cooperation with our system architects that

leverage datasets using machine learning techniques to enhance the user experience.

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Required skills:

Knowledge and experience using statistical and machine learning algorithms including

regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural

networks, deep learning, ensemble methods

Expert

knowledge in Python.

Should have done one or more projects involving fine-tuning with LLMs

Experience in

feature selection, building and optimising classifiers.

Experience working with backend technologies such as Flask/ Gunicorn etc.

Experience on working with open source library such Spacy, NLTK, Gensim etc

Experience on working with deep learning library such as Tensor flow, Pytorch etc

Experience with software stack components including common programming languages, back

-end technologies, database modelling, continuous integration, services oriented architecture,

software testability etc.

Be a keen learner and enthusiastic about developing software.

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Additional skills (Good to have):

Experience with Cloud infrastructure and

platforms (Azure, AWS)

Experience using tools to deploy models into the production environment such as Jenkins

Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*NetNR

Perks and benefits:

Perks and benefits.

Cab Facility.

Meal and Snacks.

Internet Allowance.

Equipment Purchase Program.

Internal and External Training.

Parental Support .