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 YOULL DO :

- Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, 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.

- Collaborates effectively with cross functional teams to deliver end-to-end products & features.

- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.

- Estimates efforts, identify risks, devises and meets project schedules.

- Runs review meetings effectively and drive the closure of all open issues on time.

- Mentors/coaches data scientists to facilitate their development and provide technical leadership to them.

- Rises above detail to see broader issues and implications for whole product/team.

WHAT YOULL 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.

- Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design.

- Experience with Solr/OpenSearch/Elasticsearch .

- Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc).

- Experience with embedding & vector search.

- Experience in using large language models.

- 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 :

- 5 years.

BENEFITS :

- Outstanding Compensation.

- Competitive salary.

- Tax-friendly compensation structure.

- Bi-annual bonus.

- Annual Appraisal.

- Equity in company.

- 100% Full Health Benefits.

- Group Mediclaim, personal accident, & term life insurance.

- Group Mediclaim benefit (including parents' coverage).

- Online Health (OPD) Consultation Benefit.

- Personal accident and term life insurance coverage.

- Flexible Time Away.

- 24 days paid leaves.

- Declared fixed holidays.

- Paternity and maternity leave.

- Compassionate and marriage leave.

- Covid leave (up to 7 days).

ADDITIONAL BENEFITS :

- Internet and home office reimbursement.

- In-office catered lunch, meals, and snacks.

- Certification policy.

- Cab pick-up and drop-off facility.