Module Lead (Search and Match)

BOLD; Dadri; Remote; INR 4,500,000 - 6,000,000; Full time

Benefits offered by this job

Health benefits

Bi-annual bonus

Annual appraisal

Equity in company

Generous paid leaves

Job summary

BOLD is seeking a senior data scientist to blend analytical skills with business insights. You will explore vast user datasets to drive product development, build scalable data systems, and partner with platform architects to deliver end-to-end data products and features.

You will mentor data scientists, tackle NLP, ML, and RAG challenges, and contribute to strategic decisions impacting product direction and user experience at scale.

Qualifications

• Experience with statistical and ML algorithms including regression, clustering, neural nets.
• Proficient in Python for data science and ML pipelines.
• Experience with NLP, LLMs, RAG for search quality.

Responsibilities

• Work on data science projects involving NLP, ML, and predictive modelling.
• Develop models and data products with Product teams.
• Mentor data scientists and provide technical leadership.

Skills

Statistical methods

Machine learning

NLP

LLMs & RAG

Vector search

Prediction modelling

Data science mentorship

Cross-functional collaboration

Tools

Python

Flask/Gunicorn

Spacy

NLTK

Gensim

TensorFlow

PyTorch

Solr/OpenSearch/Elasticsearch

langChain/crewai

Embedding & vector search

Job description

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

Job Description

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 infeature selection, building and optimising classifiers.
• Experience working with backend technologies such asFlask/ 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

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

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.