BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required
ABOUT THIS TEAM
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.
WHAT YOU’LL DO
- 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
- Evolve prompt engineering applications and benchmark different Large Language models to solve business problems.
- Implement and experiment with agentic workflows to improve the job seeker experience.
WHAT YOU’LL NEED
- 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.
- 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.
- Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably llm agents.
- Langchain and/or Llamaindex.
WHAT’S 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*Net – NR
EXPERIENCE-
- Software Engineer- 2.5 years+
- Senior Software Engineer-4.5 years+
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