12+ Data extraction Jobs in India
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PythonWe seek a skilled AI Engineer with a background in AI research, machine learning, and data science to join our innovative team! This is an exciting opportunity for an individual with extensive AI experience eager to work on cutting-edge projects, turning research into practical AI applications. You will collaborate with cross-functional teams to design, develop, and implement AI solutions that enhance business operations and decision-making processes.
What We’re Looking For
● Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD in AI or a related discipline is highly desirable.
● Experience:
○ Proven experience in AI research and implementation, with a deep
understanding of both theoretical and practical aspects of AI.
○ Strong proficiency in machine learning (ML), data science, and deep learning techniques.
○ Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
○ Experience with data preprocessing, feature engineering, and data
visualization.
○ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI and ML deployment.
○ Strong analytical and problem-solving skills.
○ Ability to translate AI research into practical applications and solutions.
○ Knowledge of AI model evaluation techniques and performance optimization.
○ Strong communication skills for presenting research and technical details to non- technical stakeholders.
○ Ability to work independently and in team environments.
Preferred Qualifications
● Experience working with natural language processing (NLP), computer vision, or reinforcement learning.
What You’ll Be Doing
● Conduct advanced AI research to develop innovative solutions for business challenges.
● Design, develop, and train machine learning models, including supervised, unsupervised, and deep learning algorithms.
● Collaborate with data scientists to analyze large datasets, identify patterns, and extract actionable insights.
● Work with software development teams to integrate AI models into production environments.
● Leverage state-of-the-art AI tools, frameworks, and libraries to accelerate AI development.
● Optimize AI models for accuracy, performance, and scalability in real-world applications.
● Collaborate closely with cross-functional teams, including product managers, software engineers, and data scientists, to implement AI-driven solutions.
● Document AI research outcomes, development processes, and performance metrics. Present findings to stakeholders in an easily understandable manner.
Machine Learning (ML)PythonLocation: Hyderabad, Hybrid
We seek an experienced Lead Data Scientist to support our growing team of talented engineers in the Insurtech space. As a proven leader, you will guide, mentor, and drive the team to build, deploy, and scale machine learning models that deliver impactful business solutions. This role is crucial for ensuring the team provides real-world, scalable results. In this position, you will play a key role, not only by developing models but also by leading cross-functional teams, structuring and understanding data, and providing actionable insights to the business.
What We’re Looking For
● Proven experience as a Lead Machine Learning Engineer, Data Scientist, or a similar role, with extensive leadership experience managing and mentoring engineering teams.
● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
● Demonstrated success in leading teams that have designed, deployed, and scaled machine learning models in production environments, delivering tangible business results.
● Expertise in machine learning algorithms, deep learning, and data mining techniques, ideally in an enterprise setting.
● Hands-on experience with natural language processing (NLP) and data extraction tools.
● Proficiency in Python (or other programming languages), and with libraries such as Scikit-learn, TensorFlow, PyTorch, etc.
● Strong experience with MLOps processes, including model development, deployment, and monitoring at scale.
● Strong leadership and analytical skills, capable of structuring and interpreting data to provide meaningful business insights and guide decisions.
● A practical understanding of aligning machine learning initiatives with business objectives.
● Industry experience in insurance is a plus but not required.
What You’ll Be Doing
● Lead and mentor a team of strong Machine Learning Engineers, synthesizing their skills and ideas into scalable, impactful solutions.
● Have a proven track record in successfully leading teams in the development, deployment, and scaling of machine learning models to solve real-world business problems.
● Provide leadership in structuring, analyzing, and interpreting data, delivering insights to the business side to support informed decision-making.
● Oversee the full lifecycle of machine learning models – from development and training to deployment and monitoring in production environments.
● Collaborate closely with cross-functional teams to align AI efforts with business goals
and ensure measurable impacts.
● Leverage deep expertise in machine learning, data science, or related fields to enhance document interpretation tasks such as text extraction, classification, and semantic analysis.
● Utilize natural language processing (NLP) to improve our AI-based Intelligent Document Processing platform.
● Implement MLOps best practices, ensuring smooth deployment, monitoring, and maintenance of models in production.
● Continuously explore and experiment with new technologies and techniques to push the boundaries of AI solutions within the organization.
● Lead by example, fostering a culture of innovation and collaboration within the team while effectively communicating technical insights to both technical and non-technical stakeholders.
Candidates not located in Hyderabad will not be taken into consideration.
Data ScienceMachine Learning (ML)Role Overview:
We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.
Key Responsibilities:
- Data Analysis & Visualization:
- Develop and manage data pipelines, ensuring data accuracy and integrity.
- Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
- Extract and analyze complex data sets using SQL to generate actionable insights
2 Machine Learning & AI Models:
- Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
- Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
- Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.
3 Automation & Innovation:
- Use AI to streamline document verification, data extraction, and customer interaction processes.
- Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
- Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.
Qualifications:
- Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
- 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
- Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
- Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
- Strong problem-solving skills, with the ability to work independently and in teams.
- Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.
If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!
Role: HCM Oracle Cloud Implementation
JD:
Expereince in Data extraction from Oracle HCM EBS and Data load through HDL in Oracle HCM cloud
• Experience on multiple full lifecycle Oracle Fusion ERP Cloud implementation projects or similar ERP/SaaS/in-house applications
• Required to have at least 3 to 4 full life cycle implementation experience in Oracle Recruitment Cloud or similar Cloud products
- Experience in configuring workforce compensation plans
- Experience with creating compensation change statement and should be able to create security roles
- Experience in HDL and fast formula
• Experience working with global users and teams
• Work with business users and identify business requirements, conduct CRP workshops, etc.
• Work with offshore team
• Confirm unit testing of reports, interfaces, data conversion and extensions (workflow, triggers, forms, etc.)
• Support solution validation in the phases of SIT, UAT and Go Live
HTML/CSS
Javascript
XML- Overall, 4-5 years of experience
- At least 3 years of HTML/CSS development experience is required
- Must have solid working experience on HTML5, CSS3, XML
- Should be an expert on XPath/Regex expressions for complex website navigations
- Working knowledge on core JavaScript
- Experience of mentoring the junior team members will be desirable
- Must have good communication skills
Python
DjangoData Science- Worked on Python, with knowledge of Scrapy framework & Beautiful Soup.
- Maintaining the running web crawlers full-stack application.
- Create more/better ways to crawl relevant information
- Builds and maintain new API integrations to support continuing increases in data volume and complexity
- Python Tech stack (Python library: Requests, Urllib, Beautifulsoup).
- Good communication skills.
Role - MIS Executive
Experience - 2 to 4 years
Job Location - Ahmedabad
- Maintenance of existing management information systems.
- Generate and distribute management reports in an accurate and timely manner.
- Use Advanced Excel capabilities, including pivot tables, look-ups, complex formulas and graphing to streamline business processes.
- Ability to understand complex data, analyze and make reports and dashboards
- Extract the data from the designated portal and update it.
- Provide recommendations to update current MIS to improve reporting efficiency and consistency.
- Perform data analysis for generating reports on a periodic basis.
- Provide strong reporting and analytical information support to the management team.
- Generate both periodic and ad hoc reports as required.
- Analyze business information to identify process improvements for increasing business efficiency and effectiveness.
- Provide support and assistance to management in issue troubleshooting and resolution.
- Handling database management by using Advanced Excel tools & MS Access
- Should be proficient with Advanced Excel Formulas such as, Pivot Table, Lookups, Index Formatting, Conditional Formatting.
- Exp in Tableau, Dashboard creation & Data crunching & extraction
- Qualification: Bachelor's degree with experience of 2 - 4 Years
- 2 to 4 Years experience in MIS and Dashboarding is a must.
Deep LearningMachine Learning (ML)● Frame ML / AI use cases that can improve the company’s product
● Implement and develop ML / AI / Data driven rule based algorithms as software items
● For example, building a chatbot that replies an answer from relevant FAQ, and
reinforcing the system with a feedback loop so that the bot improves
Must have skills:
● Data extraction and ETL
● Python (numpy, pandas, comfortable with OOP)
● Django
● Knowledge of basic Machine Learning / Deep Learning / AI algorithms and ability to
implement them
● Good understanding of SDLC
● Deployed ML / AI model in a mobile / web product
● Soft skills : Strong communication skills & Critical thinking ability
Good to have:
● Full stack development experience
Required Qualification:
B.Tech. / B.E. degree in Computer Science or equivalent software engineering
Real Estate Investment Analyst Responsibilities:
Analyst will be a part of investments team & will work on transactions including acquisitions and asset management duties as required. Key responsibility area will include: • Maintaining and updating various trackers. • Real estate data extraction & entry. • Commercial real estate market research and analysis (including searching for updated reports on different markets, compiling data from various sources, updating spreadsheets and reports with important metrics). • Perform financial analysis (develop financial models, build scenarios, prepare dashboards, etc.) of real estate investments under guidance of members of the team. • Prepare investment memos, pitch and presentation materials. • Working with the Deal Team to provide and organize due diligence information. • Assist in maintaining project timelines, workplan and ensuring milestones are met on time. • Support senior staff in preparation of budget and forecast exercises, audits, reporting, portfolio planning and finance management. • Prepare information packages and related documents for raising equity and debt.
Qualifications:
We are seeking to hire individuals who are highly motivated, mature and intelligent and have demonstrated excellence in prior endeavours. The successful candidate should have: • Strong analytical and communication skills. • A desire to work in a team environment, often under pressure. • Excellent attention to detail. • Intellectual curiosity and entrepreneurial zeal. • A desire to contribute to a positive culture. • Bachelor’s degree or higher in Real Estate, Economics, Business, or Finance. • Prior experience in real estate preferred. • Fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.).
We are Social.HR
An early-stage HR-Tech (SaaS) company. We aspire to be the leading self-driven career platform with intelligence. We are putting together a strong team of young individuals. The founders have the vision to create an intelligent, intuitive, and responsive career platform which gives you data-driven career insight and allows you to #BeTheBestYou
Who is?
An Intern will be our go-to person for all research and data-related aspects. You should be a hack who can get things done.
We Look for?
- 1. Who is going to get hands dirty
- An outside the box thinker
- Who is not afraid to challenge the conventional wisdom
- Moving decisively towards business goals
- Flexible in managing work-life balance
Are you the right fit?
- You are awesome at online research
- You are driven to make documentation and audit look like a piece of cake
- Full time must
- Have graduated or finishing up the course
We offer
The intern role is fun and it lies at the intersection of business and technology with true upside potential. Initially, the compensation will be in the form of a stipend.
Data Analytics
AngularJS (1.x)
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