Module Lead (Search and Match)

BOLD is seeking for senior professional who will combine 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

BOLD Platform services team design, creates, manage and maintains the highly scalable and distributed services for the wider use of web and mobile product applications/portals/websites. The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments.

Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

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.

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-

Module Lead (Search & Match)- 5.5 years

#LI-Hybrid

• About Bold
• We Transform Work Lives
• As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

• We Celebrate And Promote Diversity And Inclusion
• We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.