Senior Software Engineer- DataScience

livecareer

Dadri

On-site

INR 1,400,000 - 2,100,000

Full time

4 days ago
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Job summary

Bold seeks a Senior Software Engineer-Data Science to join its global team and transform large user data into smarter products. You will blend analytical insights with business context to guide product and management decisions.

You will collaborate with Engineering, Portals, BI, and Product to deliver NLP and ML solutions, from resume parsing to recommendations, using Python, SQL, and modern ML frameworks.

Qualifications

  • Knowledge of statistical and ML algorithms incl. regression, clustering, neural nets.
  • Expert Python skills for data science and production code.
  • Experience selecting features and building classifiers.
  • Work with backend tech such as Flask/Gunicorn.
  • Experience with Spacy, NLTK, Gensim for NLP tasks.
  • Familiarity with TensorFlow or PyTorch for DL models.
  • Understanding of software stacks and CI/CD basics.
  • Interest in prompt engineering and LLMs.
  • Familiarity with LangChain/LlamaIndex and vector DBs.

Responsibilities

  • Lead data science projects: predictive modelling, NLP, statistical analysis.
  • Research, build models, and create data products with Dev & Product teams.
  • Develop scalable data systems leveraging ML to improve UX.
  • Advance prompt engineering and evaluate LLMs for business problems.
  • Experiment with agentic workflows to enhance job seeker experiences.

Skills

ML algorithms
Python
NLP
Feature selection
Flask backend
Spacy/NLTK/Gensim
TensorFlow/PyTorch
LangChain/LlamaIndex
Vector databases
Prompt engineering

Tools

Flask
Gunicorn
Spacy
NLTK
Gensim
TensorFlow
PyTorch
LangChain
LlamaIndex
Vector databases

Job description

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-

Senior Software Engineer-4.5 years+

#LI-SV1

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.

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