Module Lead

Bold is seeking a Module Lead for its Data Science team. This role involves combining analytical skills and business knowledge to deliver key insights to Product and Management teams. The individual will drive product development using vast user data sets to enhance current products and find inferences to build new ones. The Data Science department focuses on discovering patterns, creating predictive algorithms, improving data quality with machine learning, and collaborating with other teams on projects involving NLP and machine learning like resume parsing, ranking, and content generation.

Must Have

• Work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning.
• Leverage user data to perform research, develop models, and create data products.
• Develop novel and scalable data systems using machine learning techniques.
• Collaborate effectively with cross-functional teams to deliver end-to-end products.
• Demonstrate ability to multi-task and re-prioritize responsibilities.
• Estimate efforts, identify risks, devise and meet project schedules.
• Run review meetings effectively and drive closure of open issues.
• Mentor/coach data scientists and provide technical leadership.
• Knowledge and experience using statistical and machine learning algorithms.
• Expert knowledge in Python.
• Experience in using large language models.
• Experience in feature selection, building and optimising classifiers.
• Experience working with backend technologies such as Flask/Gunicorn.
• Experience on working with open source library such as Spacy, NLTK, Gensim.
• Experience on working with deep-learning library such as TensorFlow, PyTorch.
• Experience with software stack components.
• Be a keen learner and enthusiastic about developing software.

Good to Have

• Experience with Cloud infrastructure and platforms (Azure, AWS).
• Experience using tools to deploy models into production (Jenkins).

Perks & Benefits

• Competitive salary
• Tax-friendly compensation structure
• Bi-annual bonus
• Annual Appraisal
• Equity in company
• Group Mediclaim, personal accident, & term life insurance
• Group Mediclaim benefit (including parents' coverage)
• Practo Plus health membership for employees and family
• Personal accident and term life insurance coverage
• 24 days paid leaves
• Declared fixed holidays
• Paternity and maternity leave
• Compassionate and marriage leave
• Covid leave (up to 7 days)
• Internet and home office reimbursement
• In-office catered lunch, meals, and snacks
• Certification policy
• Cab pick-up and drop-off facility

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 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 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 using large language models. Fine-tuning knowledge is good to have.
• 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.

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-

• Module Lead- 5.5 years+

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