Senior AWS Software Engineer in Noida, India is listed on Jobeax. Browse 30,000+ vacancies available.
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
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. 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.
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.
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+
Outstanding Compensation
Competitive salary
Tax-friendly compensation structure
Bi-annual bonus
100% Full Health Benefits
Group Mediclaim, personal accident, & term life insurance
Online Health (OPD) Consultation Benefit
Personal accident and term life insurance coverage
Flexible Time Away
- Declared fixed holidays
- Paternity and maternity 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
As an established global organization, BOLD helps people find jobs. 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 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.