Data Mining Algorithms Jobs in Ahmedabad

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Job Title: Rust Developer Location: Ahmedabad, India Experience Required: Minimum 2 Years About the Role We are looking for an experienced Rust Developer to join our team immediately and contribute to a critical 2-year blockchain project. If you have a strong background in systems programming, a passion for secure, high-performance code, and enjoy working on cutting-edge technologies, this role is for you. What You ll Do Develop and maintain blockchain nodes focused on security, speed, and reliability. Work on core components including P2P networks, cryptographic functions, consensus algorithms, databases, and APIs. Ensure software handles large financial transactions with the highest degree of security. Optimize code for performance, scalability, and maintainability. Collaborate closely with other developers to solve complex systems-level challenges. Requirements At least 2 years of professional programming experience with Rust. 4+ years of experience in systems programming, including languages like C++. Strong knowledge of advanced data structures and algorithms. Expertise in secure coding practices and writing high-quality, readable code. Skilled in debugging, profiling, and performance optimization. Experience with multithreaded and network programming. Proficiency in optimizing key-value store databases. Comfortable hacking on Linux systems. Attention to detail and commitment to code quality. Preferred Familiarity with blockchain platforms and distributed ledger technology (a plus, but not mandatory). Work on a high-impact blockchain project handling real-world financial data. Be part of an innovative and fast-growing technology team in Ahmedabad. Opportunities to grow your skills in Rust and systems programming. Collaborative work environment with a focus on security and performance.

Job Title: Rust Developer High-Security Blockchain Systems Location: Ahmedabad, India We are looking for an experienced and passionate Rust Developer to join our advanced Blockchain engineering team in Ahmedabad. If you're ready to make an immediate impact on a high-value, long-term project involving cutting-edge systems programming, cryptography, and P2P networks, we want to hear from you. About the Role: Join us on a groundbreaking 2-year project focused on building highly secure, high-performance decentralized systems. As a Rust Developer, you ll be responsible for developing and maintaining our core node infrastructure. You'll work closely with technologies related to networking, consensus algorithms, databases, and API integrations. Security is our top priority, with performance as a close second. We expect all developers to embrace this mindset from day one. Key Responsibilities: Design, develop, and maintain our Rust-based Blockchain node. Work on core components including P2P networking, database management, cryptographic systems, and API integrations. Contribute to the implementation and optimization of consensus algorithms. Collaborate with a security-first mindset, writing highly reliable and maintainable code. Conduct performance profiling, debugging, and multithreaded optimization. Ensure clean, readable, and well-documented code for long-term maintainability. Required Skills & Experience: Minimum 3 years of hands-on Rust development experience. 4+ years in systems-level programming (Rust, C++, or similar). Strong knowledge of advanced data structures and low-level algorithms. Deep understanding of secure coding practices and performance tuning. Proficiency in multithreaded and network programming. Experience with key-value store optimization. Solid debugging and profiling skills. Comfortable working in Linux-based environments. Passion for building secure, scalable software systems. Preferred Qualifications (Bonus Points): Familiarity with other Blockchain platforms and decentralized technologies. Experience with cryptography, distributed systems, or consensus protocols. Knowledge of DevOps and infrastructure automation tools. Be part of a mission-critical project at the forefront of Blockchain security. Work with an experienced and driven team of engineers. Collaborate in a culture that prioritizes innovation, security, and code quality.

Job Title: Rust Developer Experience: 2+ Years Key Responsibilities: We are looking for an experienced Rust developer who is ready to immediately contribute to our work. We are currently in the midst of a 2-year project and we expect you to begin pulling your weight as soon as possible. What we expect of you Since we are creating software/product that handles large financial values, we place an emphasis on developing solutions that have the highest possible degree of security, with a secondary objective being speed and performance. We expect you to adopt this mindset when you begin working with us. You will develop and maintain the node. Day-to-day tasks include working on P2P networks, databases, cryptography, APIs and consensus algorithms. Having a solid overview of other blockchain platforms is useful, but not necessary. Requirements: At least 3 years of programming experience with Rust. 4+ years in systems programming, that may include other languages (C++). Have experience with advanced data structures and algorithms. Secure coding practices. Debugging, profiling and performance optimisation skills. Multithreaded programming knowledge. Network programming skills. Key-value store optimisation skills. Attention to the quality and readability of your code. Passion to hack on Linux systems.

AI Developer Key Responsibilities: AI Development & Integration: Develop and enhance AI-driven solutions using platforms such as Claude.ai, Perplexity.ai, and other Anthropics-powered tools. Integrate AI features into EdTech platforms, supporting personalized learning, adaptive content, and intelligent tutoring systems. EdTech Solutions Development: Design AI applications tailored for the education sector, including virtual tutors, automated assessments, and recommendation engines. Collaborate with educators and curriculum designers to align AI functionalities with educational objectives. Model Training & Fine-Tuning: Train and fine-tune large language models (LLMs) to ensure they meet the specific needs of the education sector. Apply transfer learning to adapt general-purpose models for educational applications. AI Tool Utilization: Utilize Claude.ai, Perplexity.ai, and other emerging Anthropics technologies to develop interactive learning solutions and data-driven insights. Experiment with new AI features to continuously enhance platform capabilities. Research & Innovation: Stay updated on AI and EdTech trends to implement cutting-edge solutions. Conduct research to identify how advanced AI tools can address educational challenges and improve learning outcomes. Collaboration & Stakeholder Engagement: Work closely with product managers, UX designers, and other development teams to deliver AI-powered features for EdTech platforms. Communicate complex AI concepts to both technical and non-technical stakeholders in a clear and concise manner. Requirements: Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus. Technical Skills: Extensive experience with Claude.ai, Perplexity.ai, and other Anthropics systems. Strong proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, and Hugging Face. Solid understanding of natural language processing (NLP), transformer-based models, and large language models (LLMs). Experience with API integrations and deploying AI/ML models in production environments. EdTech Experience: Proven track record of developing AI solutions for educational platforms. Familiarity with challenges in EdTech, including data privacy (e.g., FERPA, GDPR), accessibility, and scalability. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to explain AI concepts to both technical and non-technical audiences. Collaborative mindset with a passion for leveraging AI to improve education. Preferred Experience: Experience with adaptive learning systems, gamification, or AI-powered chatbots in education. Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience working on projects that involve real-time AI integrations. Qualification : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Data Miner / Business Development Executive Job Description: Lead Generation: Conduct lead generation through various platforms such as Apollo, online directories (Yellowpages, Pinkpages, AIA), Google search, and more to identify potential clients. Email Marketing: Execute email marketing campaigns, targeting potential leads and nurturing existing ones. Lead Follow-Ups: Actively follow up on generated leads to convert them into potential business opportunities. LinkedIn Outreach: Utilize LinkedIn to engage with prospects, build relationships, and generate business leads. Database Management: Manage and maintain an up-to-date database using HubSpot CRM software, ensuring accurate records and efficient workflow. Data Scraping: Use various data scraping tools such as Webscrapper, Data Miner, and Instant Data Scraper to gather valuable information and insights for lead generation. Requirements: Qualifications: Any graduate/postgraduate (MBA preferred). Shift Timings: Day Shift: 10:00 AM to 07:00 PM (During training period). Post-training shift timings will be determined by the Project Manager. Working Days: 5 working days per week. Qualification : Any graduate/postgraduate (MBA preferred).

Node.js Developer Location: Ahmedabad Primary Responsibilities: PHP Backend Development: Good understanding of PHP back-end development to support full-stack development requirements. JavaScript and Frameworks: Strong expertise in AngularJS, JavaScript, Core Java, and Node.js development. Node.js Frameworks: Deep understanding of Node.js and related frameworks available for efficient development. Web Services Integration: Experience with AJAX, REST, and JSON for API integrations and data exchange. Database & Server Side: Hands-on experience with MongoDB, JavaScript, Node.js, HTML, React.js, Express.js, and Mongoose. Database Design & Management: High-level understanding of MySQL or MongoDB; ability to create schema-based and schema-less database designs. Security Compliance: Understanding of accessibility and security compliance to ensure data protection and security. Authentication & Authorization: Implement user authentication and authorization protocols across multiple systems, servers, and environments. Automated Testing: Experience in implementing automated testing platforms and writing unit tests to ensure quality code. Version Control Systems: Proficient in using code versioning tools such as Git and SVN to manage code and track changes. Code Optimization: Writing reusable, testable, and efficient code that meets industry standards. OOP & Data Structures: Solid understanding of Object-Oriented Programming (OOP) concepts, data structures, and algorithms for optimized code development. Programming Languages: Hands-on experience with programming languages and frameworks; a strong knowledge of Node.js and its ecosystem. Frontend Development: Experience with HTML, CSS, and AJAX for creating seamless front-end interactions. Qualifications: Proficiency in Node.js, AngularJS, and JavaScript. Familiarity with databases like MongoDB and MySQL. Good understanding of modern web technologies like HTML, CSS, and AJAX. Strong problem-solving skills with hands-on experience in implementing OOP concepts and data structures. Ability to work independently and as part of a team in a fast-paced environment. This role is designed for developers who are passionate about back-end development with Node.js and are eager to work in a dynamic and challenging environment. If you are well-versed with the mentioned technologies and frameworks, we encourage you to apply.

Job Title: AI/ML Developer Experience: 2-3 Years Positions Available: 02 Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Responsibilities: Develop and deploy AI/ML solutions, leveraging expertise in machine learning, deep learning, and generative AI. Design, implement, and optimize models using popular libraries like TensorFlow, PyTorch, scikit-learn, and others. Apply deep learning, computer vision, NLP, and reinforcement learning techniques to real-world problems. Work with Large Language Models (LLMs), including training custom models and integrating third-party LLM APIs like OpenAI. Conduct data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning to ensure high-quality results. Analyze complex data sets, create visualizations, and leverage statistical techniques to guide decision-making. Collaborate effectively with cross-functional teams and stakeholders to ensure successful project delivery. Continuously stay up-to-date with emerging technologies, implementing them to enhance products and services. Contribute to an Agile development environment with familiarity in DevOps practices for CI/CD. Skills & Qualifications: Experience: At least 2 years of hands-on experience in AI/ML development with a proven track record of successful project delivery. Technical Skills: Proficiency in Python, C++, R, or Scala. Strong foundation in machine learning and deep learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, OpenCV, and others. Experience in working with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiar with API frameworks like Django, Flask, and FastAPI (a plus). Key Areas of Expertise: Data preprocessing, feature engineering, model evaluation, and optimization. Experience with LLMs and integrations with third-party APIs like OpenAI. Ability to work with cloud platforms and ML Ops is a plus. Personal Attributes: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Proactive, self-motivated, and eager to learn new technologies. Comfortable working both independently and as part of a team. Additional Pluses: Familiarity with Agile methodologies and DevOps practices. Knowledge in data visualization tools and techniques is an advantage. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Title: AI/ML Engineer Location: Ahmedabad, India Job Type: Full-time Job Overview: As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems. Key Responsibilities: Collaborate with Cross-functional Teams: Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems. Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models. ML Pipeline Development: Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation. Model Deployment and Monitoring: Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness. Stay Current with Advancements: Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems. Contribute to Best Practices: Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization. Write Clean Code: Maintain high-quality, maintainable, and efficient code that adheres to industry best practices. Required Qualifications: Education: Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience: 3+ years of experience as a Machine Learning Engineer or in a similar role. Programming Skills: Advanced skills in programming languages such as Python, Rust, and related frameworks. Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras. Problem-Solving: Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy. Collaboration and Communication: Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams. Independence: Ability to work independently when needed, demonstrating initiative and accountability. Preferred Qualifications: Microservices and Containerization: Experience with microservices architecture, Docker, Kubernetes, and Linux. Big Data Tools: Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Technical Design Skills: Demonstrated technical design, problem-solving, coding, and debugging skills. Distributed Systems: Experience with distributed systems design and implementation. Innovation: Be part of a team that is shaping the future of artificial intelligence. Career Growth: Continuous learning and growth opportunities in the AI/ML domain. Impact: Work on real-world projects that drive meaningful business outcomes. Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration. If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops! Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.

Technical Skills: Strong experience in Python, R, or Scala for data analysis and modeling. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong command on NLP domain models. Hands-on expertise with time-series forecasting techniques (e.g., ARIMA, LSTM, GRU), building CICD pipeline and model monitoring system. Experience working with large datasets and distributed computing tools (Hadoop, Spark). Optimize and fine-tune models for performance, accuracy, and scalability. Experience in reinforcement learning or online learning techniques. Expertise in handling large-scale datasets, using tools like Pandas, NumPy, and SQL. Knowledge of cryptocurrency markets, blockchain, and financial modeling. Proficiency in cloud platforms like AWS, GCP, or Azure for deploying machine learning models.

Requirements: Good knowledge of Python with a minimum of 2+ years of experience. Strong understanding of various Python libraries, APIs, and toolkits. Experience or understanding of working in Web 3.0. Proficient in Django, Django REST Framework, and Flask framework. Understanding of AWS Serverless implementation using Lambda and API Gateway. Hands-on experience with databases like MySQL and PostgreSQL. Proficient in NoSQL document databases, especially MongoDB and Redis. Strong knowledge of Data Structures and Algorithms. Thorough understanding of version control system concepts, especially Git. Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and their impact on application performance. Excellent understanding of MVC and OOP; bonus for understanding prevalent design patterns. Excellent debugging and optimization skills. Job Responsibilities: Build robust, scalable, and maintainable applications. Debug, fix bugs, identify performance issues, and improve app performance. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Handle complex technical issues related to web app development and discuss solutions with the team. Develop, deploy, and maintain multistage, multi-tier applications. Write high-performing code and participate in key architectural decisions. Execute projects and interact with clients. Implement Scrum methodologies.

Requirements: Research, track, maintain and update Leads. Contact prospects to qualify Leads. Conduct customer research Email Marketing and different strategies. Bidding in Upwork and other freelancing platform. Develop a strong knowledge of the company s products and services in order to facilitate the sales process. Excellent english communication (verbal and written). Experience working with western companies. Qualification: (if any particular needed): MBA Preferred Qualification : MBA Preferred

Responsibilities Research potential prospects and business opportunities through market analysis, and competitor analysis. Must have an idea about current market trends. Utilize automated tools to gather and extract data from primary and secondary sources accurately. Develop and manage databases, organizing data for clarity and easy access. Support communication strategies by sharing company presentations and campaign content to identify and engage leads, creating potential business opportunities. Responsible for data mining and market research through the Internet, building databases, and being proficient in secondary research. Good analytical skills & requirement understanding skills. Good Presentation skills, good hands with market research. Requirements Currently pursuing or recently graduated with a degree in Business, Marketing, or a related field. Strong communication skills. Self-motivated and able to multitask. Experience in sales or business development is a plus.

Job Title: Data Mining Executive Job Summary We are seeking a highly analytical Data Mining Executive to join our team. The ideal candidate will be responsible for gathering, analyzing, and extracting valuable insights from various datasets to support business decision-making. This role involves using advanced data mining techniques, conducting secondary research, and leveraging tools such as LinkedIn Sales Navigator to drive business opportunities. You will work closely with clients and internal teams to ensure accurate and actionable data is provided. Key Responsibilities Data Mining: Gather and analyze large datasets to extract meaningful insights and patterns to inform business strategies. Secondary Research: Conduct thorough secondary research to gather relevant data, industry trends, and competitor analysis to drive business decisions. Client Communication: Communicate effectively with clients to understand their data requirements and provide them with valuable insights and reports. Spreadsheet Management: Maintain and update spreadsheets to organize data, track project progress, and monitor deadlines. Outreach: Use LinkedIn Sales Navigator and other tools to support business outreach, gather client-specific data, and assist in client acquisition. Reporting and Analysis: Prepare detailed reports based on data mining and analysis to present findings to clients or senior management. Skills Required Data Mining: Experience in extracting and analyzing large sets of structured and unstructured data. Secondary Research: Strong research skills to gather relevant data from various sources. LinkedIn Sales Navigator: Proficiency in using LinkedIn Sales Navigator for client outreach and data collection. Spreadsheet Management: Expertise in managing and analyzing data using Excel or Google Sheets. Market Research: Ability to analyze market trends and competitor data to support business goals. Qualifications Any Graduate (Preferably in Business, Marketing, or related fields). Qualification : Any Graduate (Preferably in Computer Science or related field).

Job Title: Business Development Executive Intern Job Summary We are seeking a BDE Intern to support our business development efforts by conducting web research, identifying prospects, and maintaining an updated database. The ideal candidate will have strong web research skills, proficiency in using MS Office (especially Word, Excel, and Outlook), and good communication skills. As a BDE Intern, you will gather key contact information and maintain accurate records to support business growth. Key Responsibilities Web Research: Conduct web research from various platforms based on the company's defined strategy. Identify potential prospects and key contacts relevant to the business. Data Collection & Database Maintenance: Gather missing data from websites and other sources to ensure completeness. Maintain and update the company s database using CRM tools or Google Sheets. Lead Generation: Identify leads and compile information to drive business development. Collaboration & Reporting: Collaborate with other team members to ensure data accuracy and timely updates. Report on lead generation and data research progress. Proficiency in MS Office: Utilize MS Office tools (Word, Excel, Outlook) for research, data entry, and communication. Skills Required Lead Generation: Experience or understanding of identifying potential leads. Data Mining: Proficient in collecting and organizing data from different platforms. Business Development: Ability to support business development efforts through accurate data and insights. MS Office: Proficiency in MS Word, Excel, and Outlook. Communication Skills: Good written and verbal communication skills in English. Qualifications Any Graduate (Preferably in Business, IT, or related fields).

Roles and Responsibilities Lead Generation Strategy: Develop and execute comprehensive lead generation strategies to drive the acquisition of qualified leads for our software services offerings, leveraging a mix of inbound and outbound marketing tactics. Market Research: Conduct market research and analysis to identify target industries, segments, and personas for software services, and develop insights into their pain points, needs, and preferences. Lead Qualification: Qualify inbound leads through effective lead scoring and segmentation, and conduct outreach to prospects to gather additional information, assess their needs, and identify potential opportunities for engagement. Outbound Prospecting: Conduct outbound prospecting activities, including cold emailing, cold calling, and social selling, to engage with target accounts and decision-makers and generate new business opportunities. Lead Nurturing: Implement lead nurturing campaigns and workflows to engage and nurture leads throughout the buyer's journey, providing relevant content and resources to educate, inform, and build trust with prospects. CRM Management: Utilize CRM software (e.g., Zoho) to track lead activity, manage lead data and information, and ensure timely follow-up and engagement with leads to drive conversion and pipeline growth. Performance Tracking: Monitor and analyze key performance metrics, including lead volume, quality, conversion rates, and ROI, and provide regular reports and insights to stakeholders to optimize lead generation efforts and drive results. Job Requirements Bachelor's degree in marketing, Business Administration, or IT field. Minimum of 3 years of experience in lead generation, digital marketing, or related roles, preferably in the software services industry. Strong understanding of digital marketing channels, techniques, and best practices, with hands-on experience in executing successful lead generation campaigns. Excellent communication, writing, and interpersonal skills, with the ability to craft compelling messaging and engage with prospects effectively. Analytical mindset with the ability to interpret data, draw insights, and optimize campaigns to improve performance and drive results. Proficiency in marketing automation tools (e.g., HubSpot, Marketo), CRM software (e.g., Zoho), and other digital marketing platforms and analytics tools. Results-oriented, self-motivated, and able to work independently as well as collaboratively in a fast-paced, dynamic environment. Qualification : Bachelor's degree in marketing, Business Administration, or IT field.

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job Title: Data Scientist Experience: 4+ Years Educational Qualification: B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university Role Description We are seeking a skilled Data Scientist to join our team. The ideal candidate will identify valuable data sources, automate data collection processes, and analyze large datasets to uncover trends and patterns. This role involves building predictive models and machine-learning algorithms, collaborating with cross-functional teams, and proposing data-driven solutions to business challenges. Key Responsibilities Identify, collect, and automate data acquisition from valuable sources. Pre-process structured and unstructured data for analysis. Analyze large datasets to discover patterns and trends. Develop and implement predictive models and machine-learning algorithms. Combine multiple models using ensemble modeling techniques. Visualize data and present findings through dashboards and reports. Propose innovative solutions and strategies to address business challenges. Collaborate with engineering and product development teams for seamless integration of data solutions. Required Skills & Experience 4+ years of experience as a Data Scientist or Data Analyst with hands-on data mining experience. Proficiency in business intelligence tools (e.g., Power BI) and data frameworks (e.g., Hadoop). Experience querying databases and using statistical programming languages: Python, SQL, etc.; familiarity with Scala, Java, or C++ is a plus. Strong understanding of statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Tree-based models, and text mining. Expertise in advanced machine learning algorithms: regression, clustering, simulation, scenario analysis, decision trees, neural networks, etc. Solid foundation in machine learning, operations research, and advanced statistical methods. Strong analytical mindset with business acumen and problem-solving capabilities. Excellent project management and organizational skills. Nice-to-Have Skills Strong math skills (e.g., statistics, algebra). Experience working in dynamic, cross-functional environments with diverse teams. Ability to work with data and analytics experts to enhance the functionality of data systems. Qualification : B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university

About the Team: The Transactions Division at S&P Global Market Intelligence focuses on publishing data related to Mergers & Acquisitions (M&A) and Capital Markets. The team is responsible for collecting, validating, and analyzing corporate transaction data using various sources, such as search tools, press releases, company websites, stock exchange platforms, and regulatory filings. This data is curated and provided to clients in the form of a comprehensive, accurate, and timely product. The Impact: This role plays a crucial part in shaping the Transactions Dataset. As an analyst, you will be involved in collecting and validating data while working closely with peers and stakeholders on process improvements. This position offers an excellent opportunity to gain hands-on experience in the M&A, Private Offerings (PO), and Public Placements (PP) domains. You will deepen your understanding of financial reporting standards, corporate actions, and apply this knowledge in a practical setting. What s in it for You: You will be primarily responsible for the daily collection and validation of transactional data. As you develop a strong understanding of the dataset and become proficient in workflows, you will also have the opportunity to mentor new talent, helping them build their skill set. Additionally, you will be involved in process improvement initiatives, including LEAN and automation projects, that support various S&P Global Market Intelligence products. Key Responsibilities: Data Collection & Validation: Accurately extract, analyze, and input data into work tools according to specified guidelines. Ensure the integrity and quality of the collected data. Data Sources & Research: Utilize search tools, press releases, company websites, regulatory filings, and trade documents to extract and verify transaction data. Dataset Understanding: Develop a deep understanding of the dataset and workflows, becoming proficient in using the work tools and ensuring timely data delivery. Target Achievement: Meet individual and team targets while maintaining a focus on delivering high-quality, error-free results. Process Improvement & Innovation: Provide input for new data collection methods and suggest product enhancements related to the dataset. Project Management: Participate in projects as assigned, ensuring they are completed within the specified timelines while maintaining the required quality standards. Problem Resolution: Troubleshoot issues and provide support to the team to resolve any operational challenges. Basic Qualifications: Educational Background: MBA/BBA (preferably in finance), M.Com, or ACCA. Experience: Previous experience in financial research, data analytics, or quality assurance is preferred. Skills: Strong research and analytical skills. Proficiency in clear and effective communication. Basic knowledge of SQL and VBA is preferred. Ability to manage multiple tasks and priorities simultaneously. Strong teamwork and collaboration skills, with the ability to communicate effectively with global stakeholders. Willingness to work in rotational shifts (Morning, Evening, and Night). About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we provide accurate, deep, and insightful information that empowers our clients to make confident decisions. Our team of experts delivers cutting-edge data and technology solutions, helping organizations expand their perspective, operate with confidence, and make informed decisions. Qualification : MBA/BBA (preferably in finance), M.Com, or ACCA.