Founded in 1997 by Sanjeev Bikhchandani, founder of InfoEdge and Ashoka University, Naukri.com is India’s largest platform for white collar job seekers and recruiters.
To cater to these different user groups, Naukri has developed the most advanced AI-powered vertical search and recommendation engine in the country. Comprised of a talented group of approximately 60 data scientists, 15 ML engineers, and 20 analytics experts, the team operates under specializations such as search, recommendation, language models (classification), pricing, user acquisition, content generation, job and resume matching, and information extraction. Each unit is professionally led by a Lead Data Scientist or Her AVP in Data Science, ensuring strong leadership and focused proficiency.
“We are proud to have solved the challenges of ‘finding job seekers’ and ‘finding jobs’ for each group, respectively,” said Jatin Tuklal, executive vice president and head of data science at Naukri.com. target.
Naukri.com has carved a unique path in the world of B2B data science and AI with its outstanding AI and analytics team. Collaborate with product managers and engineering teams to effectively solve and enable business problems. The company has invested in AI R&D since his 2011, and as a pioneer in B2B data science and AI, he has accumulated over 10 years of valuable experience.
Introduced in 2022, Naukri’s ResDex is India’s largest resume database built vigorously with data science. The recruiter uses the platform to process her over 1 million job requisitions from his vast pool of 8 billion applications available on Naukri.
The company is currently recruiting for various Data Scientist positions such as Senior, Lead, AVP and VP.
The experience levels required for these roles are: Data Scientist (0-4 years), Senior Data Scientist (4-8 years), Lead Data Scientist (6-10 years), AVP Data Science (8-12 years), Vice President Data Science (10-14 years), Vice President Data Science (10-16 years).
Play AI & Analytics at Naukri.com
Naukri.com’s data science efforts serve both B2B and B2C needs. In the B2B space, the focus is on optimizing recruiter efficiency through advanced resume search engines and accurate candidate recommendations based on the recruiter’s unique background. The company offers his B2C users personalized job listings, salary-related insights and an easy-to-navigate job search engine.
“Our approach to AI model development is unique in its flexibility as it is not confined to any particular AI architecture. Instead, our team relies on different model combinations to effectively address real-world challenges and foster innovation and adaptability,” added Tuklal.
One of the prime examples of AI implementation is harnessing the power of AI to automatically generate job requirements that match recruiter search actions and patterns. This is made possible using different layers of a hierarchical ensemble clustering model whose first stack is based on: single linkage and after that Stack is based on multiple linkages.
With a dedicated ecosystem, the company focuses on developing, deploying, and monitoring AI and ML-based engines to address various business challenges and deliver superior client solutions.
Various AI models and techniques are employed to achieve this. This includese-LSTM, bi-directional LSTM, BERT, CNN, Transformers, Attention Mechanisms, and GANs. The most commonly used classical machine learning and statistical models are: Random forests, XGBoost, hierarchical and divisive agglomerative clustering, and logistic classifiers.
By training these open-source models on proprietary data and combining them with AI architectures, organizations can optimize their problem-solving capabilities and ensure effective implementation into their products.
Their job recommendation engine is Recoculus leverages over 200 multiple models to provide personalized job recommendations. It automatically extracts information from a candidate’s resume to match it to the best job postings and learns candidate preferences based on past job applications, including a variety of positions such as technical, human resources, and finance. It then recommends jobs based on recent search behavior, optimizes job postings, and helps applicants apply.
of resdex enterprise The platform analyzes a recruiter’s past activity and personalizes search results to provide the most relevant selection of talent. For example, if an Amazon recruiter heavily influences her Flipkart job seekers, the model will automatically learn this behavior and increase the visibility of her Flipkart job seekers in future recruiter searches.
hiring process
The recruitment process for data science roles is rigorous and consists of five interviews to assess the candidate’s understanding of statistics, linear algebra, classical machine learning, and deep learning. Candidates will also be asked to work out real-world programming case studies with recruiters. In the next round, Senior Data Science her leader assesses technical skills and data science temperament. The final round is personnel evaluation for personality and cultural fit.
Candidates must have a Mathematics or Engineering degree (Btech/Mtech/MSc/PhD) from a prestigious institution such as IIT, IISc, ISI, or IIIT. Experience with a top 10 AI team would be an advantage.
expectations
Ideal candidates are expected to have skills in math, statistics (probability, hypothesis testing, etc.), linear algebra, classical ML, algorithms (RF, boosting, etc.), testing (performance metrics), loss functions, deep learning (LSTM, CNN, etc.), data processing (NLP, text mining), DL libraries (TensorFlow, PyTorch). , LLM frameworks (Vicuna, MPT-7B), programming languages (Python with PySpark interface), databases (SQL, MongoDB, HDFS).
Joining Naukri’s data science team offers a fast-paced research environment, independent project autonomy, collaboration with smart colleagues, meritocracy, data-driven decision-making, and rich learning opportunities.
work culture
Naukri’s work culture is young, dynamic, collegial, and fast-paced, according to Tuklal. When it comes to data science, Naukli plays an important role at the core of Naukli’s business and innovation. “This makes the job of a data scientist at Naukli, albeit challenging, very exciting,” he added.
At every level, data scientists fully accept the responsibility of overseeing one or more projects from start to finish and take full ownership of the final business outcome. They work closely with various stakeholders including product managers, ML engineers, technologists, design teams, and more. Naukli aims to maintain a strong balance sheet and follows the highest standards of professional ethics along with conservative financial management.
Additionally, data science and AI play a key role in powering Naukri’s best-selling products, distinguishing the company as one of the consistently profitable Internet companies in India.
Joining Naukri.com allows you to focus on building a long-term career with a company that values steady growth over forced job changes. In addition, Naukli benefits from the mentorship of some of the Internet’s finest thought leaders, providing employees with a rich and supportive environment for professional development.
Overall, Naukri.com offers an attractive opportunity for those seeking a challenging and impactful career in data science and AI, backed by a strong foundation and a thriving work culture.
Check out the opening now.
