83 Scrapy Jobs

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹80,000.00 per month Education: Bachelor's (Preferred) Experience: Machine learning: 4 years (Preferred) Work Location: In person

Be a part of India’s largest and most admired news network! Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry. Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow. Role Overview: We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value. Key Responsibilities: Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications. Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery. Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.). Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment. Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders. Apply basic Docker concepts for containerization and deployment of applications. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay abreast of the latest advancements in AI/ML and NLP best practices. Required Qualifications & Skills: 2 to 5 years of hands-on experience as a Data Scientist or in a similar role. Solid understanding of machine learning fundamentals, algorithms, and best practices. Proficiency in Python and relevant data science libraries. Good SQL skills for complex querying and data manipulation. Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications & Skills: Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI. Basic understanding of Docker and containerization for deploying applications. Experience with dashboarding tools like Power BI and building web applications with Streamlit. Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium). Knowledge of data warehousing concepts and schema design. Experience in designing and building ETL pipelines. Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred. “We correspond only from our official email address” Show more Show less

Role : Senior Python Locations : Teynampet, Chennai/Kk Nagar, from Office : (1pm to 10pm) Monday of Interview : : 3+ Skills : 3+ years of Strong experience in Python & 2 years in Django Web framework Experience or Knowledge in implementing various Design Patterns Good Understanding of MVC framework & Object-Oriented Programming Experience in PGSQL / MySQL and MongoDB Good knowledge in different frameworks, packages & libraries Django/Flask, Django ORM, Unit Test, NumPy, Pandas, Scrapy etc. Experience developing in a Linux environment, GIT & Agile methodology Good to have knowledge in any one of the JavaScript frameworks: jQuery, Angular, ReactJS Good to have experience in implementing charts, graphs using various libraries Good to have experience in Multi-Threading, REST API management (ref:hirist.tech) Show more Show less

Job Designation - Data Scraping Location - Ahmedabad Years of Experience - 3+ years We are seeking a skilled and motivated Web Crawler to join our team. The ideal candidate will have 3 to 5 years of experience in developing and maintaining robust web scraping solutions. You will be responsible for designing, implementing, and optimizing web crawlers to extract valuable data from diverse online sources. This role requires a strong understanding of web technologies, data handling, and problem-solving skills. Responsibilities: •Design, develop, and maintain efficient and scalable web crawlers using Python, Mozenda, etc. •Utilize web scraping frameworks such as Scrapy, Beautiful Soup, or Selenium to extract data from websites. •Implement and optimize data extraction logic using XPath, CSS selectors, and JSONPath. •Understand and effectively navigate website structures and implement strategies to bypass anti-scraping measures. •Test, maintain, and troubleshoot web scraping processes to identify and resolve any issues or errors. •Ensure data integrity and quality through rigorous testing and validation. •Monitor and troubleshoot crawler performance, identifying and resolving complex technical issues. •Work with SQL and NoSQL databases to store and manage extracted data. •Collaborate with cross-functional teams to define data requirements and deliver actionable insights. •Maintain comprehensive documentation for all crawler development and maintenance activities. •Demonstrate a strong understanding of the HTTP protocol and web technologies. Show more Show less

We are accepting applications for experienced Data Engineer with a strong background in data scraping, cleaning, transformation, and automation. The ideal candidate will be responsible for building robust data pipelines, maintaining data integrity, and generating actionable dashboards and reports to support business decision-making. Key Responsibilities: Develop and maintain scripts for scraping data from various sources including APIs, websites, and databases. Perform data cleaning, transformation, and normalization to ensure consistency and usability across all data sets. Design and implement relational and non-relational data tables and frames for scalable data storage and analysis. Build automated data pipelines to ensure timely and accurate data availability. Create and manage interactive dashboards and reports using tools such as Power BI, Tableau, or similar platforms. Write and maintain data automation scripts to streamline ETL (Extract, Transform, Load) processes. Ensure data quality, governance, and compliance with internal and external regulations. Monitor and optimize the performance of data workflows and pipelines. Qualifications & Skills: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Minimum of 5 years of experience in a data engineering or similar role. Proficient in Python (especially for data scraping and automation), and strong hands-on experience with Pandas, NumPy , and other data manipulation libraries. Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium). Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehouses (e.g., Redshift, Snowflake, BigQuery). Familiarity with data visualization tools like Power BI, Tableau, or Looker. Knowledge of ETL tools and orchestration frameworks such as Apache Airflow, Luigi, or Prefect . Experience with version control systems like Git and collaborative platforms like Jira or Confluence . Strong understanding of data security, privacy , and governance best practices. Excellent problem-solving skills and attention to detail. Preferred Qualifications: Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with NoSQL databases like MongoDB, Cassandra, or Elasticsearch. Understanding of CI/CD pipelines and DevOps practices related to data engineering. Job Type: Full-Time (In-Office) Work Days: Monday to Saturday Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹1,500,000.00 per year Schedule: Day shift Work Location: In person

About the Role: We are looking for a skilled Python Developer with strong expertise in web scraping and data extraction. You will be responsible for designing and maintaining scalable scraping systems, handling large volumes of data, and ensuring the accuracy and integrity of data from various online sources. Responsibilities: Develop and maintain Python scripts for scraping structured and unstructured data from websites and APIs. Build robust, scalable, and efficient scraping solutions using libraries such as BeautifulSoup, Scrapy, Selenium, or Playwright. Monitor and optimize scraping performance and manage data pipelines. Handle website structure changes, anti-bot protections, and CAPTCHA bypassing when necessary. Store, clean, and normalize scraped data using databases (e.g., PostgreSQL, MongoDB) or cloud solutions. Collaborate with data analysts, engineers, and product managers to define data needs and deliver insights. Ensure compliance with legal and ethical standards of data collection. Required Skills: Strong proficiency in Python, especially in web scraping. Solid understanding of HTML, CSS, JavaScript, HTTP protocols, and browser behavior. Familiarity with RESTful APIs, JSON, and XML. Experience working with databases (SQL or NoSQL). Basic knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker) is a plus. Preferred Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. Experience handling large-scale scraping projects. Background in using version control systems (e.g., Git). Understanding of data privacy laws (e.g., GDPR, CCPA). Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Work Location: In person

We are looking for a skilled Python Developer with strong expertise in web scraping and data extraction. You will be responsible for designing and maintaining scalable scraping systems, handling large volumes of data, and ensuring data accuracy and integrity from various online sources. Responsibilities: Develop and maintain Python scripts for scraping structured and unstructured data from websites and APIs. Build robust, scalable, and efficient scraping solutions using libraries such as BeautifulSoup, Scrapy, Selenium, or Playwright. Monitor and optimize scraping performance and manage data pipelines. Handle website structure changes, anti-bot protections, and CAPTCHA bypassing when necessary. Store, clean, and normalize scraped data using databases (e.g., PostgreSQL, MongoDB) or cloud solutions. Collaborate with data analysts, engineers, and product managers to define data needs and deliver insights. Ensure compliance with legal and ethical standards of data collection. Required Skills: Strong proficiency in Python, especially in web scraping. Solid understanding of HTML, CSS, JavaScript, HTTP protocols, and browser behavior. Familiarity with RESTful APIs, JSON, and XML. Experience working with databases (SQL or NoSQL). Basic knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker) is a plus. Preferred Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. Experience handling large-scale scraping projects. Background in using version control systems (e.g., Git). Understanding of data privacy laws (e.g., GDPR, CCPA). Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Work Location: In person

About the Role: We are looking for a skilled Python Developer with strong expertise in web scraping and data extraction. You will be responsible for designing and maintaining scalable scraping systems, handling large volumes of data, and ensuring the accuracy and integrity of data from various online sources. Responsibilities: Develop and maintain Python scripts for scraping structured and unstructured data from websites and APIs. Build robust, scalable, and efficient scraping solutions using libraries such as BeautifulSoup, Scrapy, Selenium, or Playwright. Monitor and optimize scraping performance and manage data pipelines. Handle website structure changes, anti-bot protections, and CAPTCHA bypassing when necessary. Store, clean, and normalize scraped data using databases (e.g., PostgreSQL, MongoDB) or cloud solutions. Collaborate with data analysts, engineers, and product managers to define data needs and deliver insights. Ensure compliance with legal and ethical standards of data collection. Required Skills: Strong proficiency in Python, especially in web scraping. Solid understanding of HTML, CSS, JavaScript, HTTP protocols, and browser behavior. Familiarity with RESTful APIs, JSON, and XML. Experience working with databases (SQL or NoSQL). Basic knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker) is a plus. Preferred Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. Experience handling large-scale scraping projects. Background in using version control systems (e.g., Git). Understanding of data privacy laws (e.g., GDPR, CCPA). Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Work Location: In person

Job Summary: We are looking for a skilled Python Developer with strong expertise in web scraping and data extraction. You will be responsible for designing and maintaining scalable scraping systems, handling large volumes of data, and ensuring data accuracy and integrity from various online sources. Responsibilities: Develop and maintain Python scripts for scraping structured and unstructured data from websites and APIs. Build robust, scalable, and efficient scraping solutions using libraries such as BeautifulSoup, Scrapy, Selenium, or Playwright. Monitor and optimize scraping performance and manage data pipelines. Handle website structure changes, anti-bot protections, and CAPTCHA bypassing when necessary. Store, clean, and normalize scraped data using databases (e.g., PostgreSQL, MongoDB) or cloud solutions. Collaborate with data analysts, engineers, and product managers to define data needs and deliver insights. Ensure compliance with legal and ethical standards of data collection. Required Skills: · Strong proficiency in Python, especially in web scraping. · Solid understanding of HTML, CSS, JavaScript, HTTP protocols, and browser behavior. · Familiarity with RESTful APIs, JSON, and XML. · Experience working with databases (SQL or NoSQL). · Basic knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker) is a plus. Preferred Qualifications: · Bachelor's degree in Computer Science, Information Technology, or related field. · Experience handling large-scale scraping projects. · Background in using version control systems (e.g., Git). · Understanding of data privacy laws (e.g., GDPR, CCPA). Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Experience: Data visualization: 1 year (Required) Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

ABOUT THE PYTHON DATA ENGINEER ROLE: We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases. This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation. KEY RESPONSIBILITIES: Develop, test, and maintain efficient Python applications. Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading. Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources. Design and implement algorithms for data processing, transformation, and analysis. Write optimized SQL queries and work with relational databases to manage and analyse large datasets. Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions. Ensure code quality, performance, and scalability through best practices and code reviews. Stay updated with the latest advancements in Python, data engineering, and backend development. REQUIRED QUALIFICATIONS: Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 3–5+ years of hands-on experience as Data Engineer using Python Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy. Experience with Data Visualization tools such as Power BI, Tableau Strong understanding of relational databases and SQL. Experience working with cloud platforms such as AWS Strong problem-solving skills with an analytical mindset. Excellent communication skills and the ability to work in a collaborative team environment. WHY JOIN US? Highly inclusive and collaborative culture built on mutual respect. Focus on core values, initiative, leadership, and adaptability. Strong emphasis on personal and professional development. Flexibility to work remotely and/or hybrid indefinitely. ABOUT WIN: Founded in 1993, WIN is a highly innovative proptech company revolutionizing the real estate industry with cutting-edge software platforms and products. With the stability and reputation of a 30-year legacy paired with the curiosity and agility of a start-up, we’ve been recognized as an Entrepreneur 500 company, one of the Fastest Growing Companies, and the Most Innovative Home Services Company. OUR CULTURE: Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life Show more Show less

About the Role: We are looking for a hands-on Data Engineer to join our team and take full ownership of scraping pipelines and data quality. You'll be working on data from 60+ websites involving PDFs, processed via OCR and stored in MySQL/PostgreSQL. You’ll build robust, self-healing pipelines and fix common data issues (missing fields, duplication, formatting errors). Responsibilities: Own and optimize Airflow scraping DAGs for 60+ sites Implement validation checks, retry logic, and error alerts Build pre-processing routines to clean OCR'd text Create data normalization and deduplication workflows Maintain data integrity across MySQL and PostgreSQL Collaborate with ML team for downstream AI use cases Requirements: 2–5 years of experience in Python-based data engineering Experience with Airflow, Pandas, OCR (Tesseract or AWS Textract) Solid SQL and schema design skills (MySQL/PostgreSQL) Familiarity with CSV processing and data pipelines Bonus: Experience with scraping using Scrapy or Selenium Location: Delhi (in-office only) Salary Range : 50-80k/Month Show more Show less

Job Title: AI/ML + Backend Developer (SEO Automation & Technical Implementation) Location: Remote (APAC preferred) | Full-Time or Contract 🔹About the Role We’re looking for a 3-7 years experienced technical powerhouse who blends backend engineering, AI/ML experience, and hands-on SEO implementation skills. This hybrid role will support our mission to scale intelligent SEO operations and automate key parts of our publishing workflows. You’ll build custom tools and systems that integrate machine learning, backend development, and SEO performance logic — from programmatic content generation and internal linking engines to technical audits, schema injection, and Google Search Console automations. 🔹What You'll Be Doing 🔧 Backend & Automation Development Build internal tools and APIs using Python or Node.js Automate content workflows (meta/gen content, redirects, schema, etc.) Integrate third-party APIs (GSC, Ahrefs, OpenAI, Gemini, Google Sheets) 🧠 AI/ML Workflows Apply NLP models for entity recognition, summarization, topic clustering Deploy and manage ML inference pipelines Work with LLMs to scale content enhancements (FAQs, headlines, refresh logic) ⚙️ SEO Automation & Technical Implementation Run and implement technical SEO audits (crawl issues, sitemaps, indexing, Core Web Vitals) Automate internal linking, canonical tags, redirects, structured data Use tools like Screaming Frog CLI, GSC API, and Cloudflare for scalable SEO execution 📈 Performance Monitoring Set up dashboards to monitor SEO KPIs and anomaly detection Build alerting systems for performance drops, crawl issues, or deindexed content 🔹 Key Skills Required Languages & Tools: Python (FastAPI, Pandas, Scrapy, etc.) and/or Node.js Databases (PostgreSQL, MongoDB, Redis) Docker, GitHub Actions, Cloud (GCP/AWS preferred) GSC API, Screaming Frog CLI, Google Sheets API OpenAI/Gemini API, LangChain or similar frameworks SEO Knowledge: Strong understanding of on-page and technical SEO Experience with programmatic content, schema markup, and CWV improvements Familiar with common issues like crawl depth, duplication, orphan pages, and indexability 🔹 Nice to Have Experience with content/media/publishing websites Familiarity with CI/CD and working in async product teams Exposure to headless CMS or WordPress API integrations Past experience automating large-scale content or SEO systems 🔹 What You'll Get The chance to work on large-scale content automation and modern SEO problems High autonomy, technical ownership, and visibility in decision-making Flexible remote work and performance-based incentives Direct collaboration with SEO strategy and editorial stakeholders . Show more Show less

Job Title: Data Automation Intern Location: Remote Duration: 3-6 months Type: Unpaid Internship About CollegePur: CollegePur is a remote educational consultancy dedicated to guiding students through their academic journeys. We focus on providing insightful resources and personalized support to help students make informed decisions about their education and careers. Overview: We are seeking motivated Python Programming Interns to join our team. In this role, you will develop automated solutions to extract and organize information from public online sources. This experience will provide exposure to real-world data workflows and foundational concepts in data engineering and automation. Key Responsibilities: Develop Python scripts to automate the retrieval of structured and semi-structured data from web and API sources. Process, clean, and structure extracted information into usable formats (e.g., CSV, JSON). Assist in building simple pipelines for data refresh and scheduled extraction. Collaborate with internal teams to understand data needs and deliver high-quality datasets. Maintain clear documentation of code, logic, and workflow steps. Preferred Skills: Proficiency in Python programming. Familiarity with web interaction tools such as Requests, BeautifulSoup, Selenium, or Scrapy. Understanding of HTML/CSS/DOM structures. Experience working with pandas for data manipulation and transformation. Basic knowledge of REST APIs and JSON data structures. Exposure to ETL concepts, especially the extract and transform stages, is a plus. Strong analytical and debugging skills. Eligibility: Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, or a related field. Self-taught developers with Python automation projects or coursework. Aspiring data engineers or developers interested in real-world data workflows. Individuals who enjoy working with data and turning it into structured, usable information. Perks: Flexible working hours and remote work opportunity. Mentorship from experienced developers and analysts. Hands-on experience with live data extraction and automation projects. Certificate of completion and Letter of recommendation Show more Show less

Hiring: Python Developer (Web Scraping) – Mohali Location Location : Mohali Email : hr@baselineitdevelopment.com Contact : 9888122266 Experience : 1 Year Required Skills : Strong knowledge of Python. Hands-on experience in Web Scraping using tools like BeautifulSoup, Scrapy, or Selenium. Understanding of APIs and data parsing. Familiarity with data cleaning and automation scripts. Basic knowledge of databases (MySQL/PostgreSQL) is a plus. Good problem-solving skills and ability to write clean, efficient code Roles & Responsibilities : Develop and maintain web scraping scripts to extract data from various websites. Work with large datasets and automate data collection processes. Ensure data accuracy and consistency. Collaborate with the team to understand requirements and deliver solutions Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Work Location: In person

Be a part of India’s largest and most admired news network! Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry. Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow. Role Overview: We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value. Key Responsibilities: Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications. Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery. Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.). Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment. Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders. Apply basic Docker concepts for containerization and deployment of applications. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay abreast of the latest advancements in AI/ML and NLP best practices. Required Qualifications & Skills: 2+ years of hands-on experience as a Data Scientist or in a similar role. Solid understanding of machine learning fundamentals, algorithms, and best practices. Proficiency in Python and relevant data science libraries. Good SQL skills for complex querying and data manipulation. Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications & Skills: Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI. Basic understanding of Docker and containerization for deploying applications. Experience with dashboarding tools like Power BI and building web applications with Streamlit. Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium). Knowledge of data warehousing concepts and schema design. Experience in designing and building ETL pipelines. Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred. “We correspond only from our official email address” Show more Show less

The HiLabs Story HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes. HiLabs Team Multidisciplinary industry leaders Healthcare domain experts AI/ML and data science experts Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT). Be a part of a team that harnesses advanced AI, ML, and big data technologies to develop cutting-edge healthcare technology platform, delivering innovative business solutions. Job Title : Python Web Scraper Job Location : Bengaluru, Karnataka Job summary: We are a leading Software as a Service (SaaS) company that specializes in the transformation of data in the US healthcare industry through cutting-edge Artificial Intelligence (AI) solutions. We are looking for Python Web Scraper, who should continually strive to advance engineering excellence and technology innovation. The mission is to power the next generation of digital products and services through innovation, collaboration, and transparency. You will be a technology leader and doer who enjoys working in a dynamic, fast-paced environment. Responsibilities: Design and build scalable, reliable web scraping solutions using Python/PySpark. Develop enterprise-grade scraping services that are robust, fault-tolerant, and production-ready. Work with large volumes of structured and unstructured data; parse, clean, and transform as required. Implement robust data validation and monitoring processes to ensure accuracy, consistency, and availability. Write clean, modular code with proper logging, retries, error handling, and documentation. Automate repetitive scraping tasks and optimize data workflows for performance and scalability. Optimize and manage databases (SQL/NoSQL) to ensure efficient data storage, retrieval, and manipulation for both structured and unstructured data. Analyze and identify data sources relevant to business Collaborate with data scientists, analysts, and engineers to integrate data from disparate sources and ensure smooth data flow between systems. Desired Profile: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 2-4 years of experience in web scraping, data crawling, or data Proficiency in Python with web scraping tools and libraries (e.g., Beautiful Soup, Scrapy, or Selenium). Basic working knowledge of PySpark and data tools like Apache Airflow and EMR. Experience with cloud-based platforms (AWS, Google Cloud, Azure) and familiarity with cloud-native data tools like Apache Airflow and EMR. Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Understanding of data governance, data security best practices, and data privacy regulations (e.g., GDPR, HIPAA) Familiarity with version control systems like Git. HiLabs is an equal opportunity employer (EOE). No job applicant or employee shall receive less favorable treatment or be disadvantaged because of their gender, marital or family status, color, race, ethnic origin, religion, disability, or age; nor be subject to less favorable treatment or be disadvantaged on any other basis prohibited by applicable law. HiLabs is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce to support individual growth and superior business results. Thank you for reviewing this opportunity with HiLabs! If this position appears to be a good fit for your skillset, we welcome your application. HiLabs Total Rewards Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes. CCPA disclosure notice - https://www.hilabs.com/privacy

Summary To enhance user profiling and risk assessment, we are building web crawlers to collect relevant user data from third-party sources, forums, and the dark web. We are seeking a Senior Web Crawler & Data Extraction Engineer to design and implement these data collection solutions. Job Responsibilities Design, develop, and maintain web crawlers and scrapers to extract data from open web sources, forums, marketplaces, and the dark web. Implement data extraction pipelines that aggregate, clean, and structure data for fraud detection and risk profiling. Use Tor, VPNs, and other anonymization techniques to safely crawl the dark web while avoiding detection. Develop real-time monitoring solutions for tracking fraudulent activities, data breaches, and cybercrime discussions. Optimize crawling speed and ensure compliance with website terms of service, ethical standards, and legal frameworks. Integrate extracted data with fraud detection models, risk scoring algorithms, and cybersecurity intelligence tools. Work with data scientists and security analysts to develop threat intelligence dashboards from collected data. Implement anti-bot detection evasion techniques and handle CAPTCHAs using AI-driven solvers where necessary. Stay updated on OSINT (Open-Source Intelligence) techniques, web scraping best practices, and cybersecurity trends. Requirements 5+ years of experience in web crawling, data scraping, or cybersecurity data extraction. Strong proficiency in Python, Scrapy, Selenium, BeautifulSoup, Puppeteer, or similar frameworks. Experience working with Tor, proxies, and VPNs for anonymous web scraping. Deep understanding of HTTP protocols, web security, and bot detection mechanisms. Experience parsing structured and unstructured data from JSON, XML, and web pages. Strong knowledge of database management (SQL, NoSQL) for storing large-scale crawled data. Familiarity with AI/ML-based fraud detection techniques and data classification methods. Experience working with cybersecurity intelligence sources, dark web monitoring, and OSINT tools. Ability to implement scalable, distributed web crawling architectures. Knowledge of data privacy regulations (GDPR, CCPA) and ethical data collection practices. Nice to Have Experience in fintech, fraud detection, or threat intelligence. Knowledge of natural language processing (NLP) for analyzing cybercrime discussions. Familiarity with machine learning-driven anomaly detection for fraud prevention. Hands-on experience with cloud-based big data solutions (AWS, GCP, Azure, Elasticsearch, Kafka).

About The Role Grade Level (for internal use): 10 The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. What’s In It For You Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML library’s and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements Proven track record as a senior / lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Master’s / PhD from a recognized institute in a relevant specialization Good To Have 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315679 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

About The Role Grade Level (for internal use): 10 The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. What’s In It For You Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML library’s and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements Proven track record as a senior / lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Master’s / PhD from a recognized institute in a relevant specialization Good To Have 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315679 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

About The Role Grade Level (for internal use): 10 The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. What’s In It For You Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML library’s and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements Proven track record as a senior / lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Master’s / PhD from a recognized institute in a relevant specialization Good To Have 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315679 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

We Are Hiring! Join Our Team as a Senior Python Developer Role: Senior Python Developer Work Locations: Teynampet, Chennai/Kk Nagar, Madurai Work from Office: (1pm to 10pm) Monday - Friday Mode of Interview: In-Person Experience : 4+ Years Hands-on software development skills, deep technical expertise across the entire software delivery process. Forward-thinking skilled individual. Structured, organized, and a good communicator. Write reusable, Testable, and Efficient code. Required Skills: - 3+ years of Strong experience in Python & 2 years in Django Web framework. Experience or Knowledge in implementing various Design Patterns. Good Understanding of MVC framework & Object-Oriented Programming. Experience in PGSQL / MySQL and MongoDB. Good knowledge in different frameworks, packages & libraries Django/Flask, Django ORM, Unit Test, NumPy, Pandas, Scrapy etc., Experience developing in a Linux environment, GIT & Agile methodology. Good to have knowledge in any one of the JavaScript frameworks: jQuery, Angular, ReactJS. Good to have experience in implementing charts, graphs using various libraries. Good to have experience in Multi-Threading, REST API management. Interested candidates can send their resume to this mail id -dharshanamurthy.v@egrovesys.com Or WhatsApp - 9342768767 About Company: eGrove Systems is a leading IT solutions provider specializing in eCommerce, enterprise application development, AI-driven solutions, digital marketing, and IT consulting services. Established in 2008, we are headquartered in East Brunswick, New Jersey, with a global presence. Our expertise includes custom software development, mobile app solutions, DevOps, cloud services, AI chatbots, SEO automation tools, and workforce learning systems. We focus on delivering scalable, secure, and innovative technology solutions to enterprises, startups, and government agencies.At eGrove Systems, we foster a dynamic and collaborative work culture driven by innovation, continuous learning, and teamwork. We provide our employees with cutting-edge technologies, professional growth opportunities, and a supportive work environment to thrive in their careers. Job Types: Full-time, Permanent Pay: ₹267,535.81 - ₹800,000.00 per year Benefits: Provident Fund Location Type: In-person Schedule: Monday to Friday UK shift Work Location: In person

Responsibilities: Collaborate with cross-functional teams on project requirements & deliverables. Design, develop, test & maintain Python apps using Django/Flask & AWS/Azure Cloud.

We are looking for a Python Developer who has expertise in web scraping and backend development. The ideal candidate should be proficient in Python frameworks, data extraction techniques, and API integration.

Hiring Web Scraping Interns Location: Ahmedabad Internship Duration: 3 to 5 months Stipend: Based on performance (optional) Qualification: BCA / B.Sc (Computer Science) / B.Tech / BE (IT/CS) Final year students or recent graduates are preferred Skills Required: Basic knowledge of Python Familiarity with web scraping libraries such as BeautifulSoup, Selenium, or Scrapy Understanding of HTML and CSS; JavaScript knowledge is a plus Ability to work independently and in a team Willingness to learn and take ownership of tasks What You Will Learn: Real-world web scraping techniques Handling dynamic pages, proxies, captchas, and data cleaning Working on client-based projects with proper documentation Best practices for storing and managing scraped data Exposure to tools and workflows used in live environments Show more Show less