This role is essential for advancing the strategic objectives of the insurance actuarial function by implementing analytics and transformational initiatives. The team is primarily responsible for innovation, research & development. Utilizing high end analytical & technical skills, team members design models/methodologies tailored for actuarial reserving processes, as well as analyze financial data to generate actionable insights that aid decision-making. This position offers an exciting opportunity to participate in a range of analytics projectsdescriptive, diagnostic, predictive, and prescriptivewhile also focusing on Artificial Intelligence and cloud migration, thereby enhancing the organizations ability to adapt to emerging business needs. DISCOVER your opportunity What will your essential responsibilities include? Implementation of analytics projects and other transformational projects that directly impact the organization's strategic objectives. Run tools based in Python, R, SQL, and execute ETL processes to facilitate business deliverables, with a focus on future development work to drive actionable insights and business impact. Write high-quality, effective code that can be easily scaled across platforms using Python/R programming. Deepen the understanding of the business to contribute to other analytics initiatives, including predictive modeling, and collaborate on data-driven projects with cross-functional teams. Learn in-house software platforms used for actuarial reserving and manage their use in the processes, contributing to the enhancement of analytical capabilities. Manage quarterly/monthly/yearly financial data for MI reporting and collaborate with stakeholders to provide valuable insights and support decision-making. Partner with global technology teams to deliver changes to our data and processes to meet strategic goals, actively participating in transformative projects including move to the cloud. Demonstrate proactive communication with Business users, Development, Technology, Production Support, and Delivery Teams, and Senior Management to drive collaborative problem-solving and knowledge sharing. Develop and maintain process documentation to ensure transparency and knowledge transfer within the team and across stakeholders. Support ad-hoc activities to address emerging business needs and contribute to the agility of the team.You will report to Lead, AFR. SHARE your talent Were looking for someone who has these abilities and skills: Required Skills and Abilities: University Graduate (B.E/B.Tech/CS/IT/BSc). Relevant years of work experience, preferably in the insurance industry, financial services, or consultancy. Good knowledge of Statistics and mathematical functions. Good hands-on computer application skills, specifically python programming, SQL, Power BI & MS Excel. In-depth knowledge of Python software development, including frameworks, tools, and systems (NumPy, Pandas, Django, SciPy, PyTorch, etc.). Desired Skills and Abilities: Good to have knowledge of R programming (dplyr) and QlikView. Excellent analytical, research, and problem-solving skills. Understanding of cloud principles with good exposure to Microsoft Azure stack (Databricks, SQL DB etc.). Understanding of AI fundamentals including exposure to LLMs.

About the Role: We are seeking a highly motivated and skilled Data Scientist with 25 years of industry experience in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI). The ideal candidate will have a strong foundation in Python programming and a passion for solving complex business problems using data. You will work on designing, developing, and deploying scalable AI solutions for real-world applications across domains. This is a hands-on role requiring technical expertise, experimentation, and collaboration across cross-functional teams. Key Responsibilities: Perform Exploratory Data Analysis (EDA) to uncover patterns, insights, and anomalies. Design, build, and optimize ML and DL models using Python for diverse business use cases. Develop and apply NLP techniques for text analysis and language understanding. Build, fine-tune, and deploy Generative AI solutions (LLMs, VLMs, RAG) tailored to enterprise needs. Create and maintain end-to-end ML pipelines , including data preprocessing, feature engineering, training, evaluation, and deployment. Manage and monitor models in production using MLOps workflows (CI/CD, model tracking, versioning, etc.). Stay updated with recent developments in AI/ML and continuously explore new tools and frameworks. Required Skills & Qualifications: Strong programming proficiency in Python is essential. Experience with Python libraries such as pandas, NumPy, scikit-learn, NLTK, Transformers (Hugging Face), TensorFlow/PyTorch . Solid understanding of machine learning algorithms, statistical modeling, and deep learning concepts. Hands-on experience in Natural Language Processing and Generative AI techniques (e.g., LLMs, RAG, VLMs, Agents). Experience with EDA, data preprocessing , and feature engineering. Familiarity with MLOps tools like MLflow, DVC or similar. Experience with Docker and containerized deployment of ML models. Working knowledge of databases both SQL and NoSQL . Experience deploying ML models in production environments . Familiarity with version control tools (e.g. Git) and collaborative workflows. Exposure to cloud platforms like AWS, GCP, or Azure is a plus.

Key Responsibilities: Strong understanding of Python frameworks (Flask) and libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL and experience with databases like PostgreSQL/ Oracle (any other SQL databases) Experience with cloud services (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) Demonstrated problem solving /Algorithms / Design patterns / Hackathon etc Good to have Machine learning, AI, Data science exposure (Scikit-learn, TensorFlow, PyTorch) Product development experience is preferred Qualifications: 3+ years of professional experience in Python backend development. Experience with RESTful APIs and microservices architecture. Experience with DevOps practices and tools (e.g., CI/CD pipelines) Experience with Agile development methodologies (e.g., Scrum, Kanban) Bachelor's degree in Computer Science, Computer Engineering, or a related field. Must have good communication skills. Only candidates available for immediate joining or with a notice period of 15 days or less will be considered. Intrested candidate can sahre tere resume to logashrik@newtglobcorp.com

Job Title: Python Developer Location: Pune (Hybrid - 3 Days a week onsite) Required Skills: Strong Python programming skills Experience with REST API development and integration Hands-on experience with Splunk (search, dashboards, alerts) Knowledge of Windows plugins and scripting

Role: Python Developer Hyderabad- Hybrid Job Description: We are seeking a skilled Python Developer to join our team and contribute to designing, developing, and maintaining high-performance applications. The ideal candidate should have strong experience in Python, along with expertise in web frameworks like Flask or Django , database management, and API development. Required Skills & Qualifications: Strong proficiency in Python (3.x) and knowledge of OOP principles. Experience with Flask or Django for web application development. Proficiency in working with databases ( SQL and NoSQL ). Hands-on experience with RESTful API development and integration. Familiarity with version control tools like Git, GitHub, or GitLab . Experience with cloud platforms ( AWS, Azure, or Google Cloud ) is a plus. Knowledge of containerization tools like Docker and Kubernetes is an advantage. Strong debugging, testing, and problem-solving skills. Experience with CI/CD pipelines is a plus. Ability to work independently and collaboratively in an agile environment. Preferred Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or related field. Experience with asynchronous programming (Celery, RabbitMQ) is a plus. Knowledge of data processing, analytics, or AI/ML frameworks is beneficial.

Pandas/Numpy/FastAPI/Flask/SQL/xLwriter/Sklearn/Pyodbc/Pymongo/Selenium Exposure to Web Deployment using Flask, Docker over REST API Excel automation using Python and front-end technologies like HTML, CSS Good understanding in SQL Programming/Query

Looking for Java Fullstack Developer Required Candidate profile Looking for our client

Looking for Java Fullstack Developer Required Candidate profile Looking for our client

Job Requirements : B.Tech/BE/M.Tech/ME in Computer Science or equivalent from a reputed college/university. We are looking for 3 - 5 years of experience engineer for this position. Should have hands on experience on Frontend Web application development Should have hands on experience on technologies like JavaScript, Vue JS/ Angular/ React & Python Should have hands on experience on working with REST APIs Should be comfortable working with SQL Server, Postgres and any Experience in C# is considered a plus but not mandatory Has basic understanding and/or experience of business process management and Agile Methodology Strong analytical and problem-solving skills Deliver accurate and reliable solutions Ability to work independently and take initiative to be able to decide on our own and complete tasks on time. Excellent interpersonal and communication skills Communicate ideas and feedback clearly Ability to work under pressure and multi-task Demonstrate time management on assigned projects

Key Responsibilities: Develop and maintain automated web scraping scripts using Python libraries such as BeautifulSoup, Scrapy, and Selenium. Optimize scraping pipelines for performance, scalability, and resource efficiency. Handle dynamic websites, CAPTCHA-solving, and implement IP rotation techniques for uninterrupted scraping. Process and clean raw data, ensuring accuracy and integrity in extracted datasets. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Leverage APIs when web scraping is not feasible, managing authentication and request optimization. Document processes, pipelines, and troubleshooting steps for maintainable and reusable scraping solutions. Ensure compliance with legal and ethical web scraping practices, implementing security safeguards. Requirements: Education : Bachelors degree in Computer Science, Engineering, or a related field. Experience : 2+ years of Python development experience, with at least 1 year focused on web scraping. Technical Skills : Proficiency in Python and libraries like BeautifulSoup, Scrapy, and Selenium. Experience with regular expressions (Regex) for data parsing. Strong knowledge of HTTP protocols, cookies, headers, and user-agent rotation. Familiarity with databases (SQL and NoSQL) for storing scraped data. Hands-on experience with data manipulation libraries such as pandas and NumPy. Experience working with APIs and managing third-party integrations. Familiarity with version control systems like Git. Bonus Skills : Knowledge of containerization tools like Docker. Experience with distributed scraping solutions and task queues (e.g., Celery, RabbitMQ). Basic understanding of data visualization tools. Non-Technical Skills : Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to work independently and collaboratively in a team environment. CANDIDATES AVAILABLE FOR FACE-TO-FACE INTERVIEWS ARE PREFERRED.

Pandas: Proficient in data manipulation and analysis using data frame and series. Experience with data cleaning, merging, reshaping and aggregation. Knowledge of handling missing data, filtering, sorting and applying functions to datasets REST API: Experience in making get and post request using libraries like requests. Ability to fetch, process and handle JSON responses effectively. Knowledge of error handling, authentication(e.g. auth), and API rate limitingData structures in python: In depth knowledge of Python's bult in data structures: lists, tuples, dictionaries, sets and arrays. Proficiency in implementing custom data structures using classes, methods and functions.Regular Expression: Proficient in pattern matching, text searching and data validation. Experience with reading from and writing to files(text, CSV, JSON

About The Role We are hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Pune on a hybrid schedule Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done, What You'll Do Perform deep dive analysis to understand and optimize the key product KPIs, Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products, Conduct data analysis to make product recommendations and design A/B experiments, Partner with Product and Engineering teams to solve problems and identify trends and opportunities, Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations, We'd Love for You to Have Five plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib, Experience with articulating product questions and using statistics to arrive at an answer, Experience with scripting in SQL extracting large data sets and designing ETL flows, Work experience in an inter-disciplinary / cross-functional field, Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation, Distinctive problem-solving skills and impeccable business judgment, Capable of translating analysis results into business recommendations, Should have a bachelors degree in engineering (CS / IT) or equivalent degree from a well-known institute/university, Additional Information Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days in office and 2 days working remotely) that is intended to maximize collaboration, innovation, and productivity among teams and across functions, Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement As well, when were back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!, Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we dont just value diversity, we promote and celebrate it We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the worlds leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes, Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand,

About The Role We are hiring a results-oriented Principal Machine Learning Engineer to join our growing team in Pune on a hybrid schedule Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done, What You'll Do Perform deep dive analysis to understand and optimize the key product KPIs, Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products, Conduct data analysis to make product recommendations and design A/B experiments, Partner with Product and Engineering teams to solve problems and identify trends and opportunities, Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations, We'd Love for You to Have Seven plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib, Proven ability to inspire, mentor, and develop team members to deliver value consistently, Experience with articulating product questions and using statistics to arrive at an answer, Experience with scripting in SQL extracting large data sets and designing ETL flows, Work experience in an inter-disciplinary / cross-functional field, Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation, Distinctive problem-solving skills and impeccable business judgment, Capable of translating analysis results into business recommendations, Should have a bachelors degree in engineering (CS / IT) or equivalent degree from a well-known institute/university, Additional Information Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days in office and 2 days working remotely) that is intended to maximize collaboration, innovation, and productivity among teams and across functions, Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement As well, when were back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we dont just value diversity, we promote and celebrate it We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the worlds leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes, Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand,

Data engineer, strong in Python, Solution architech At least 8+ years experience, ideally within a Data Engineer role. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. Excellent experience working Python, Pandas, Flask/Fast/Django API, Middleware, Scheduler, SQL, Databases. Prior experience with Python frameworks such as Django or Flask and a strong knowledge of SQL (queries, joins, etc.). Good to have some experience in AWS/Azure. Capability of developing highly-scalable RESTful APIs. Excellent team player and can work well in an individual capacity as well. Detail-oriented and possess strong analytical skills. Pays strong attention to detail and deliver work that is of a high standard. Highly goal-driven and work well in fast-paced environments. Python, RestAPI, Redis Cache, SQl ostgres/MariaDB/Clickhouse, Kubernetes, Linux/Window scheduler, Shell Script 1. DataOPS - Python Core Advanced - Development and Data Pipelining - Data Structures, Pandas, Numpy, sklearn, concurrency, design patterns 2. DevOPS - App Deployment using CI/CD tools like Jenkins, Jfrog, Docker, Kubernetes, Openshift Container Platform 3. Microservices & REST APIs - FastAPI, Flask, Tornado 4. Cloud how apps are build and deployed using cloud 5. Databases & SQL Postgres, Clickhouse, MongoDB 6. Caching & Queuing - Pub/Sub(RabbitMQ), Redis 7. Operating system - Linux and windows 8. Monitoring and Logging Splunk

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Drive projects and initiatives to improve and expand existing DLP platform capabilities. Implement and manage DLP solutions, including data labeling technologies. Work directly with stakeholders to define requirements and develop security solutions. Ensure the security of endpoint devices, including data protection and behavior analysis. Deploy and manage endpoint DLP solutions, such as those offered by Proofpoint. Manage email security policies and configurations, including DLP for email. Detect and prevent data loss through email channels, such as by identifying sensitive content and usebehavior. Gain deep knowledge of the Proofpoint platform, including its various modules (e.g., Endpoint DLP, Email DLP) Be proficient in using the Proofpoint console to manage alerts, investigate incidents, and analyze user behavior. Primary Skills DLP Endpoint Security Email Security Secondary Skills Data Labeling Behavior Analysis Incident Response

Role Summary We are looking for an experienced Python Lead Developer with over 7 years in Python programming, strong skills in Pandas for data manipulation, and expertise in Celery for distributed task management. This position is ideal for someone who enjoys leading development projects, mentoring teams, and ensuring high standards in software quality and performance. Key Responsibilities Lead Python development projects, ensuring code quality and efficiency. Guide and mentor team members, conduct code reviews, and foster collaboration. Utilize Pandas for data analysis and transformation tasks. Implement and maintain asynchronous tasks using Celery. Optimize application performance and scalability. Required Skills Core: Proficient in Python, Pandas, and Celery. Additional: Knowledge of relational databases, RESTful API integration, and Git. Soft Skills: Strong leadership, problem-solving, and communication abilities. Keywords Pandas,Celery,RESTful API integration,Git,data analysis,Python*

Experience Range : 5 - 10+ Year's Work Location : Bangalore Must Have Skills : Pandas, Hypothesis testing, A/Btesting, feature engineering, statistical analysis, Machine Learning, NumPy, Python, SQL Good To Have Skills : Databricks Job Description : Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5 years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering . Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design .

Role & responsibilities We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and improving backend services and applications, ensuring high performance and responsiveness to requests from the front end. If you have a passion for problem-solving, clean code, and scalable applications we want to hear from you! Key Responsibilities: Develop, test, and maintain robust and scalable Python-based applications. Collaborate with front-end developers, product managers, and other stakeholders to integrate user-facing elements with server-side logic. Build and maintain APIs, services, and data pipelines. Write clean, reusable, and efficient code following best practices. Participate in code reviews and provide constructive feedback. Troubleshoot and debug applications, optimizing performance. Integrate data storage solutions (SQL and NoSQL databases). Stay up to date with emerging trends and technologies in software development. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Proficient in Python 3.x with a strong understanding of Pythonic principles. Experience with Python frameworks like Django , Flask , or FastAPI . Strong knowledge of RESTful API design and development . Good knowledge of python, DS, Pandas, Scikit, NumPy, TensorFlow, Keras etc. AI/ML exp mandatory Experience working with relational databases (e.g., PostgreSQL , MySQL ) and/or NoSQL databases (e.g., MongoDB ). Familiarity with version control tools like Git . Good understanding of software testing, debugging, and performance optimization. Solid problem-solving skills and attention to detail. Preferred (Bonus) Skills: Experience with Docker , Kubernetes , or other containerization technologies. Familiarity with cloud platforms (AWS, Azure, GCP). Knowledge of asynchronous programming (e.g., asyncio). Understanding of CI/CD pipelines . Experience in data science, machine learning, or DevOps is a plus

We are looking for a Data Engineer with the tech stack of Python, Pandas, Postgres, Java, and Apache Flink. Must have experience in Python, Java in the data ingestion pipeline with Apache Flink.

Department ISS DELIVERY - DEVELOPMENT - GURGAON Level 3 About your team The Investment Solutions Services (ISS) delivery team provides team provides systems development, implementation and support services for FILs global Investment Management businesses across asset management lifecyle. We support Fund Managers, Research Analysts, Traders and Investment Services Operations in all of FILs international locations, including London, Hong Kong, and Tokyo About your role You will be joining this position as Senior Test Analyst in QA chapter, and therefore be responsible for executing testing activities for all applications under IM technology based out of India. Here are the expectations and probably how your day in a job will look like Understand business needs and analyse requirements and user stories to carry out different testing activities. Collaborate with developers and BAs to understand new features, bug fixes, and changes in the codebase. Create and execute functional as well as automated test cases on different test environments to validate the functionality Log defects in defect tracker and work with PMs and devs to prioritise and resolve them. Develop and maintain automation script , preferably using python stack. Deep understanding of databases both relational as well as non-relational. Document test cases , results and any other issues encountered during testing. Attend team meetings and stand ups to discuss progress, risks and any issues that affects project deliveries Stay updated with new tools, techniques and industry trends. About You Seasoned Software Test analyst with more than 5+ years of hands on experience Hands-on experience in automating web and backend automation using open source tools ( Playwright, pytest, Selenium, request, Rest Assured, numpy , pandas). Proficiency in writing and understanding complex db queries in various databases ( Oracle, Snowflake) Good understanding of cloud ( AWS , Azure) Preferable to have finance investment domain. Strong logical reasoning and problem solving skills. Preferred programming language Python and Java. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI) for automating deployment and testing workflows

Are you an exceptionally skilled and highly motivated individual with a deep passion for quantitative finance, data science, end-to-end automation, cutting-edge AI tools, and creating impactful educational content ? Do you possess an unparalleled command of Python, advanced mathematics, statistical modeling, and the ability to effectively communicate complex concepts for online learning? If so, we have an extraordinary opportunity for you! We are seeking a Highly Paid Quant Analyst Intern for a demanding yet incredibly rewarding 6-month remote internship in India. This role is designed for ambitious individuals who are ready to dive deep into real-world quantitative challenges, drive efficiency through comprehensive automation, leverage the power of new AI tools (like Claude, ChatGPT, Perplexity, Gemini), and crucially, develop high-quality quantitative education content for our online platforms. Key Responsibilities: Quantitative Research & Model Development: Apply your expertise to research, develop, and refine quantitative models, trading strategies, and analytical tools. Quantitative Education Content Creation: Design, develop, and refine engaging and accurate quantitative education content (e.g., lessons, exercises, case studies, coding tutorials) for Gotraddy's online courses and training programs. Data Science & Analytics: Perform in-depth analysis of financial datasets, identify patterns, and extract actionable insights to inform and enhance our course materials and practical exercises. End-to-End Workflow Automation: Design, build, and maintain robust automated pipelines and tools for data processing, model testing, and the creation of interactive learning simulations and demonstrations, leveraging tools like n8n and Make . AI Tool Integration & Prompt Engineering: Proactively explore and effectively utilize new AI tools (e.g., Claude, ChatGPT, Perplexity, Gemini ) through advanced prompt engineering to assist in research, content generation, problem-solving, and efficiency improvements for educational material. Mathematical & Statistical Application: Leverage your understanding of advanced mathematical concepts (e.g., probability, stochastic calculus, optimization) to create clear, practical examples and solve complex problems for educational purposes. Content Validation & Improvement: Rigorously test and validate existing and new quantitative content, ensuring accuracy, relevance, pedagogical effectiveness, and a seamless online learning experience. Collaboration & Innovation: Work closely with our experienced educators and content creators to translate complex quantitative concepts into accessible and engaging learning experiences. What We're Looking For: Education: Currently pursuing or recently completed a Bachelor's, Master's, or Ph.D. in a highly quantitative field such as Quantitative Finance, Mathematics, Statistics, Computer Science, Data Science, or a related discipline. Exceptional Python Skills: Expert-level proficiency in Python, including extensive experience with libraries like NumPy, Pandas, SciPy, Scikit-learn , and ideally, specialized quantitative finance libraries. Strong Data Science Acumen: Proven ability in data manipulation, statistical analysis, machine learning (regression, classification, time series), and data visualization. Solid Mathematical Foundation: Deep understanding of linear algebra, multivariate calculus, probability theory, stochastic processes, and numerical methods. Automation Prowess: Demonstrated experience in automating complex workflows and processes using Python scripting and/or workflow automation tools like n8n or Make. Proficiency in Prompt Engineering: Demonstrated ability to effectively use and extract valuable insights from large language models and other AI tools (e.g., Claude, ChatGPT, Perplexity, Gemini). Content Creation Aptitude: Strong ability to articulate complex quantitative concepts clearly, concisely, and engagingly for an online learning audience. Experience with educational content development is a significant plus. Highly Motivated: A proactive, self-starter attitude with a strong desire to learn, contribute, and elevate educational content. Problem-Solving: Excellent analytical and problem-solving skills, with a keen eye for detail. Communication: Strong verbal and written communication skills. Location: Ability to work remotely from India. Desired Skills: While not strictly mandatory, candidates possessing the following skills will be highly regarded: Advanced Python Development: Experience with more complex Python frameworks or building robust applications. In-depth Data Science Techniques: Exposure to advanced topics like deep learning for financial applications, causal inference, or advanced time series analysis. Mathematical Sophistication: Knowledge of advanced optimization, numerical methods, or stochastic calculus applied to finance. AI Tool Power User: Proven track record of leveraging AI tools (Claude, ChatGPT, Perplexity, Gemini) for complex problem-solving, code generation, or sophisticated content ideation. Workflow Automation Mastery: Experience in designing and implementing complex, multi-step automated workflows using tools like n8n or Make for diverse applications. Educational Content Design: Prior experience in designing curricula, writing lessons, or creating interactive learning modules for quantitative subjects. Creative Writing & Pedagogy: Ability to distill complex technical information into clear, engaging, and creatively presented educational materials suitable for diverse learning styles. What We Offer: Exceptional Compensation: This is a highly competitive and very well-paid internship , acknowledging your top-tier skills and potential contribution to our firm. Impactful Contribution: Your work will directly enhance the learning experience for aspiring quantitative professionals globally, shaping the future of quantitative education. Deep Learning & Growth: An unparalleled opportunity to deepen your quantitative skills and master the integration of cutting-edge AI, workflow automation, and educational content creation. Mentorship: Direct mentorship from seasoned quantitative professionals and educators who are also exploring AI and automation frontiers. Dynamic Remote Environment: A collaborative, intellectually stimulating, and fast-paced remote work environment that fosters innovation in quantitative education, AI application, and content development. Flexibility: The convenience of a remote role, allowing you to work from anywhere in India. Career Pathway: Strong potential for a full-time conversion offer upon successful completion of the internship, contributing to our core education and research initiatives. Internship Duration: 6 Months Location: Remote (India)

# Only apply if you have completed Master's in Statistics # 0 to 1years Experience About the Company izmocars (www.izmoltd.com / www.izmocars.com) is a leading Interactive Media and Internet Solutions company with a strong presence in the Automotive industry. With Interactive Media studios in Long Beach, CA & Brussels, Europe, we are the largest producers of automotive content in the world. Our products include Interactive Media Solutions for Automotive, Web Platform, CRM, Online Marketing and Virtual Reality Platform for the Automotive industry. About FrogData FrogData, a leading AI-driven analytics platform, provides deep insights and decision intelligence to automotive dealerships. Our solutions leverage advanced statistical models, machine learning, and big data analytics to optimize business performance. We are looking for passionate MSc Statistics Freshers who can contribute to our data science and analytics team. What You Will DO: Work with large datasets to identify trends, patterns, and insights relevant to automotive dealerships. Develop statistical models, forecasting techniques, and predictive analytics for various business functions. Apply regression analysis, hypothesis testing, time series analysis, and other statistical techniques to solve business problems. Assist in data preprocessing, cleaning, and transformation to ensure high-quality analytics. Generate reports and dashboards using statistical tools and visualization platforms like Python . Required Qualifications & Skills MSc in Statistics from a Tier 1 / reputed university . Strong foundation in statistical concepts, probability, and data analysis techniques. Knowledge of R, Python (Pandas, NumPy, Scikit-learn, Stats models) for data manipulation and statistical modelling. Familiarity with SQL for querying and managing databases. Basic understanding of machine learning concepts is a plus. Strong analytical and problem-solving skills with keen attention to detail. Good communication skills to present data-driven insights effectively.

RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). data wrangling, data cleaning, data preprocessing, and data

Role & responsibilities We are seeking a highly skilled QA Automation Engineer with 3-5 years of experience in software development, SDET, or QA automation, with a strong focus on backend systems, APIs, or complex data pipelines. This role demands deep expertise in Python programming and a strong understanding of automation tools, CI/CD processes, and API testingparticularly within evolving AI-driven environments. Design, implement, and maintain robust automation frameworks using Python (Pytest or similar). Conduct thorough testing of backend systems , data pipelines, and RESTful APIs . Build test cases and scripts to support automated validation of AI-integrated services. Use tools like Postman or the requests library for API testing. Manage source control with Git and integrate tests into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions). Analyze and document defects with clarity, and collaborate with developers for resolution. Continuously adapt and learn new testing approaches for modern AI/ML-powered systems . Must-Have Skills 35 years of experience in software development, QA automation, or SDET roles. Strong hands-on programming skills in Python . Proven experience with automation frameworks like Pytest . Solid experience in REST API testing and tools like Postman or requests. Familiarity with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Excellent communication skills with the ability to articulate technical concepts clearly. Fast learner with the ability to adapt quickly to evolving AI/ML technologies . Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure), especially AI/ML services. Exposure to testing AI-based features or systems, especially in the telecom domain . Knowledge of UI automation tools like Selenium or Playwright (nice to have) Familiarity with structured testing of AI service pipelines and performance benchmarking. What We Offer Remote work flexibility Competitive compensation based on skill and experience Opportunity to work on cutting-edge AI-powered platforms A collaborative, learning-first culture with global project exposure