446 Parsing Jobs - Page 17

Can you discern the subtle nuances in a Shakespearean sonnet or break down the phonetic structure of a word with equal ease? Imagine harnessing that linguistic and literary expertise with cutting-edge AI to revolutionize how millions of students master language and literature. At 2 Hour Learning, we're not just writing the future of English education—we're crafting it into an immersive, adaptive experience. We're seeking a visionary individual to lead our mission in transforming English and Language Arts education through advanced data analysis, innovative AI applications, and deep subject matter expertise. Your goal? To double the speed at which students grasp language concepts and literary analysis, from basic phonics to advanced literary criticism. At 2 Hour Learning, we're revolutionizing K-12 education with undeniable results. Our AI-driven learning ecosystem is transforming how students learn, enabling them to master subjects at twice the speed of traditional schooling. We're not tweaking the system; we're rebuilding it from the ground up, and we have the data to prove it works. Students using our platform consistently achieve 4s and 5s on five or more AP exams, demonstrate more than two year's growth on annual MAP assessments, and shatter their own expectations of what they can achieve. What You Will Be Doing Uncovering patterns in student reading and writing data using AI, transforming these insights into groundbreaking strategies that revolutionize English language instruction and literary analysis. Crafting AI-powered tools that adapt to individual learning styles, making grammar intuitive, vocabulary building exciting, and literary analysis accessible to students at all levels. Designing dynamic learning pathways that evolve in real-time, guiding students from phonics to parsing complex texts, ensuring each learner progresses at an optimal pace. Collaborating with a diverse team of educators, linguists, and AI experts to push the boundaries of language education, directly impacting the learning journey of thousands of students. Transforming classic and contemporary literature into interactive, AI-enhanced experiences that not only educate students but ignite their passion for reading and writing. What You Won’t Be Doing Managing traditional English curriculums or handling administrative tasks—this role is about innovation and strategic improvement in how language arts are taught and learned within our accelerated model. Working in isolation—you'll be part of our dynamic team pushing the frontiers of AI in English education. Focusing solely on theory—every AI model you develop will directly impact how students understand and apply language skills in the real world, all within the 2 Hour Learning framework. Instructional Designer Key Responsibilities Drive measurable improvements in student English and Language Arts outcomes through AI-driven analysis and implementation, as demonstrated by a 2x acceleration in skill mastery across various domains (reading, writing, grammar, literature analysis) and grade levels, all within our innovative 2 Hour Learning model. Basic Requirements Bachelor's degree or higher in English, Literature, Linguistics, or a related field 3+ years of experience teaching English/Language Arts or developing ELA curriculum, with demonstrable impact on learning outcomes Basic coding abilities in any programming language Experience designing, implementing, or using AI systems for tasks such as content generation, data analysis, or adaptive learning Demonstrated ability to analyze complex data and derive actionable insights from it Excellent communication skills, with the ability to explain complex English/Language Arts concepts to diverse stakeholders in a professional setting About 2 Hour Learning Education is broken, but 2 Hour Learning is proving it doesn’t have to be. They’re tearing down the outdated one-size-fits-all model and replacing it with AI-driven personalized learning that helps kids master academics in just two hours a day. With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they’re proving that smarter learning is possible. At 2 Hour Learning, it’s talent and performance that matter. They offer a dynamic, on-campus and remote-friendly environment where innovators, educators, and AI specialists can be a part of fixing a broken school system. 2 Hour Learning is reprogramming learning for the AI era. Here’s How They’re Fixing It. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5389-IN-Mumbai-InstructionalD.016 Show more Show less

Network Python Automation EngineerIn-Office Chennai, Tamil Nadu, India Telecom Engineer Job Description: Telco Network Automation Engineer Experience Level: Mid-Senior (5 years & above) Industry: Telecommunications --- Role Overview: We are seeking a Telco Network Automation Engineer with expertise in Python, DevOps, and GUI automation to streamline and enhance network operations. This role focuses on automating telecom network functions, service provisioning, monitoring, and troubleshooting using modern automation frameworks. You will work closely with Network, SRE, and DevOps teams to develop scalable automation solutions, optimize workflows, and improve service reliability. --- Key Responsibilities: ✅ Network Automation & Scripting · Develop and maintain Python-based automation scripts for telecom network configurations, provisioning, and monitoring. · Automate network deployment, scaling, and optimization using APIs, Ansible, Netconf, REST, and CLI scripting. ✅ DevOps & CI/CD Integration · Implement network automation pipelines using Jenkins, GitLab CI/CD, or Ansible AWX. · Deploy and manage containerized network functions (CNFs) and virtual network functions (VNFs) using Docker and Kubernetes. · Work with Infrastructure as Code (IaC) tools like Terraform for network automation. ✅ GUI Automation & RPA · Automate GUI-based telecom applications using Selenium, Python for GUI, Ai based Python Automation. · Develop robotic process automation (RPA) scripts with Python for repetitive network tasks. ✅ Observability & Monitoring · Implement network observability solutions using Prometheus, Grafana, and ELK (Elasticsearch, Logstash, Kibana). · Automate alerts and self-healing mechanisms using Python-based event-driven automation. ✅ Collaboration & Documentation · Work with cross-functional teams (Network, DevOps, and SRE) to align automation strategies. · Document automation workflows, playbooks, and best practices. --- Required Skills & Experience: ✔ Programming & Scripting: · Proficiency in Python (automation, API development, multi-threading, network libraries). · Experience with Bash, Shell, PowerShell, or YAML scripting. ✔ Network & Telecom Knowledge: · Understanding of Telco networks, SDH, Routing & Networking, and VoIP/SIP protocols. · Hands-on experience with network devices (routers, switches, firewalls, EPC, IMS, BSS/OSS systems). · Design and implement automation workflows for telecommunication networks, including provisioning, configuration, and monitoring. · Automate repetitive network tasks such as circuit provisioning, topology adjustments, and fault monitoring. · Optimize legacy network management systems (e.g., ECI NMS) through automation. · Work on technologies like NMS, EMS, IMS, 5G, and virtualization platforms (e.g., vBlock, CNIS, NCP). ✔ Automation & DevOps Tools: · Ansible, Terraform, Kubernetes, Docker (Infrastructure automation). · Git, Jenkins, CI/CD pipelines (Continuous deployment of automation scripts). · REST APIs, Netconf, SNMP, gRPC (Network automation protocols). · Develop Python scripts to automate manual processes, such as data extraction, email parsing, and log analysis. · Build custom modules and libraries for network automation and GUI automation. · Use Python for interacting with APIs, databases, and file systems to streamline automation workflows. · Write scripts for fetching CRQ IDs from emails, managing dependencies, and performing data transformations. · Maintain script repositories and ensure proper documentation. ✔ GUI & RPA Automation: · Selenium, PyAutoGUI, for GUI automation. · Network Automation: Experience with network management systems (e.g., ECI NMS) and Telco protocols. · GUI Automation: Proficiency with tools like Pywinauto, or AutoIt for desktop application automation. · Scripting: Strong Python programming skills, including libraries like Selenium, Pywinauto, Ai-Python libraries. · Virtualization Platforms: Familiarity with platforms like VINO, vBlock, CNIS, and NCP. · API Integration: Experience with REST APIs and web services for network and application integration. · DevOps Tools: Hands-on experience with Ansible, Jenkins, and Docker. · Version Control: Knowledge of Git and CI/CD pipelines. ✔ Monitoring & Observability: · Experience with Prometheus, Grafana, ELK Stack, Splunk, or OpenTelemetry. --- Preferred Qualifications: ➕ Experience with public cloud networking (AWS, GCP, Azure). ➕ Knowledge of AI/ML-driven network automation. ➕ Exposure to telecom service orchestration tools (ONAP, OpenStack, Cisco NSO). --- Why Join Us? Work on cutting-edge and transformations across 4G, 5G & SDN/NFV automation projects. Be part of an innovative DevOps & SRE-driven network team. Competitive salary and growth opportunities in telecom automation Job Type: Full-time Pay: ₹400,000.00 - ₹1,400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Rotational shift Supplemental Pay: Shift allowance Yearly bonus Work Location: In person

Role –Senior Gen AI Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a Data Engineer with ETL/ELT expertise for our growing data platform and analytics teams, you will understand and enable the required data sets from different sources. This includes both structured and unstructured data into our data warehouse and data lake with real-time streaming and/or batch processing to generate insights and perform analytics for business teams within Verizon. Understanding the business requirements. Transforming technical design. Working on data ingestion, preparation and transformation. Developing the scripts for data sourcing and parsing. Developing data streaming applications. Debugging the production failures and identifying the solution. Working on ETL/ELT development. What We’re Looking For... You’re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solve business problems. You'll Need To Have Bachelor’s degree or one or more years of relevant experience required, demonstrated through work experience and/or military experience. Experience with Data Warehouse concepts and Data Management life cycle. Even better if you have one or more of the following: Any related Certification on ETL/ELT developer. Accuracy and attention to detail. Good problem solving, analytical, and research capabilities. Good verbal and written communication. Experience presenting to and influencing partners. Why Verizon? Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice. We are a ‘pay for performance’ company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program. Your benefits are market competitive and delivered by some of the best providers. You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions. We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*. Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research. You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment. Your benefits package will vary depending on the country in which you work. subject to business approval If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Skills We’re Hiring: iOS Developer – Objective-C | Swift | Xcode Location: Chandigarh, India Job Type: Full-Time Apply Now: Send your resume and App Store links to hr@cogniter.com About the Role Are you passionate about crafting sleek, responsive, and high-performance iOS applications? Cogniter Technologies is looking for a talented iOS Developer with strong skills in Objective-C, Swift, and Xcode to join our dynamic team. You’ll have the opportunity to build innovative mobile experiences from the ground up that engage thousands of users worldwide. Your Role Will Involve: App Development: Design, build, and maintain native iOS applications using Objective-C, Swift, and Xcode. Advanced Features: Implement advanced functionality such as Core Animation, GPS integration, multithreading, and offline data storage. UI/UX Design: Create intuitive and user-friendly interfaces using Interface Builder, Google MapKit, and custom views. API Integration: Work with RESTful APIs, local databases (SQLite), and third-party SDKs to extend app capabilities. Debugging & Optimization: Troubleshoot, profile, and optimize code for peak performance and efficiency. Cross-Device Compatibility: Ensure smooth functionality across a range of iOS devices and versions. App Store Best Practices: Adhere to Apple’s guidelines and best practices for successful App Store submissions. Must-Have Skills: Proficiency in Objective-C, Swift, C++ , and strong understanding of OOP principles. Expertise with Xcode IDE, iOS SDK , and interface development tools. Familiarity with JavaScript, HTML5, CSS, XML , and data parsing techniques. Strong debugging, performance tuning, and crash analysis skills. Experience with multithreading, Google Maps integration, and third-party libraries. Hands-on experience working with REST/JSON/XML APIs and offline data handling. 5-6 published apps on the App Store (please include links in your resume). Bonus Points If You Have: Experience developing enterprise-level iOS applications. Knowledge of OpenGL, Core Animation (3D), or mobile game engines. Background in mobile game development. Expertise in mobile app security and performance optimization. Why Work With Us? Impactful Projects: Build apps that reach thousands of users worldwide. Exposure to Enterprise & Gaming: Work on diverse projects including enterprise solutions and innovative games. Collaborative Team: Join a culture that values creativity, clean code, and continuous learning. Full Lifecycle Contribution: Be involved in the entire app development lifecycle—from concept to App Store launch. Ready to Build Something Great? Send your resume along with links to your published apps to hr@cogniter.com . Apply Now

Job Title: Product Manager – Insurance Integrations Location : Mumbai | Experience : 2–5 years About the Role We’re looking for a PM who gets the nuts and bolts of insurance workflows, especially around general insurance APIs. You’ll own insurer integrations end-to-end. Key Responsibilities Manage integrations for motor, health, and travel products Work closely with insurer tech teams to integrate BAP, Saral, iPOS, etc. Drive execution from documentation to go-live Handle policy validations, document parsing, and insurer-specific logic Track API updates and regulatory changes (IRDAI) Ideal Candidate 2–5 years in product management within insurance Familiar with insurer APIs and policy management platforms Strong analytical and problem-solving skills Startup mindset: high ownership, fast execution Job Types: Full-time, Permanent Pay: ₹1,400,000.00 - ₹2,400,000.00 per year Application Question(s): Can you describe your experience integrating insurance APIs—particularly for motor, health, or travel products? I’d love to understand your hands-on involvement with insurer-side systems like BAP, Saral, or iPOS, and how you managed end-to-end implementation—from requirement gathering and testing to go-live. How do you stay aligned with regulatory updates (like IRDAI changes), and what steps do you take when insurer APIs change or break? Location: Mumbai, Maharashtra (Required) Work Location: In person Speak with the employer +91 9905721269

Job Description Having quick turnaround and increased test coverage is the need of the hour; hence the increased emphasis on automation testing across projects. Publicis Sapient is looking for automation experts who in addition to the expertise in the tools and techniques also have the knack to understand the business needs, ROI and accordingly create the automation strategy. Assures consistent quality of Software Applications production by developing and enforcing robust Automated Software QE strategy, practices, and processes, providing documentation and managing people. They collaborate the with the project, business and (QE) teams, to develop detailed automated scripts, test frameworks to make the overall system more effective and efficient for our clients. Responsible for the overall quality of the project through effective QE leadership and management to ensure that all deliverables in terms of time, price and quality are met. This individual must have a proven track record of success building, leading, and managing a functional and technical QE team with a strong sense of quality ownership. This is a hands-on job that requires strategic thinking and planning to provide leadership and expertise throughout the entire QA lifecycle, ensuring the success of the team s manual and automation efforts in an agile working environment Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques. Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities Well-versed with most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently Have expertise to enforce/adhere defect or other processes in the team Preferred (Mostly for people being hired at the Senior Associate Career Stage) Mentored or coached at least one person. Can define Automation Test strategy and test plan for low and medium complexity applications taking into account the business needs, ROI etc. Able to maintain and report test coverage matrix Able to identify device coverage for the application in question. Can devise regression testing approach Qualifications 6-9 years of experience with QE for distributed, highly scalable systems. Good understanding of OOPS concepts and strong programming skills in Java, Groovy, or JavaScript Hands-on experience in working with at least one GUI-based test automation tool for desktop and/or mobile automation. Experience with multiple tools will be added advantage Proficient in writing SQL queries & familiarity with the process of test automation tool selection & test approach. Experience in designing and developing automation frameworks and creation of scripts using best industry practices such as Page object model Integrate test suites into the test management system and custom test harness. Familiar with the implementation of design patterns, modularization, and user libraries for framework creation Can mentor team as well as has short learning curve for new technology, Understands all aspects of Quality Engineering. Understanding of SOAP and REST principles Thorough understanding of microservices architecture. In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS Hands-on experience working with Postman or similar tool & parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar Hands-on experience in performing Request and Response Schema validation, Response codes, and exceptions. Good Understanding of BDD, TDD methodologies, and tools like Cucumber, TestNG, Junit, or similar. Experience in defining API E2E testing strategy, designing and developing API automation framework. Working experience on building tools Maven / Gradle, Git, etc. Experience in creating test pipeline – CI/CD, possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar/expert in domains like retail banking, automobile, insurance, betting, food markets, hotel industry, healthcare) Used /Exposure to automation tool for automating mobile applications & non-functional testing To set up test environment for execution on cloud environments such as Sauce Labs, browser stack. Knowledge of new tools (open source & licensed) in the automation world and have the knack to explore them and keep abreast with the latest tools in the market Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber, DevOps Knowledge and experience in service virtualization and tools like CA Lisa. Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable Experience in test management tools like Xray & Zephyr and integration of test framework with these tools. Understanding of commonly used software design patterns like Builder, Factory, Singleton and Façade Possess excellent Communication skills (written, verbal both formal & informal). Helps to create a positive, collaborative working environment for the team. Quick grasping and flexibility to adapt to new technologies/processes & Ability to multi-task under pressure and work independently with minimal supervision. i.e. Ability to prioritize when under pressure Efficiently makes tough decisions and communicates them effectively & independently manages operational level client meetings. Develops strong relationships with appropriate client stakeholders. Acts as the primary POC/facilitator for planned (regular) client meetings. Manages peer-level client relationships (expectations, communications, negotiations, escalation, feedback, etc.) Education: Full time Bachelor’s/Master’s engineering degree Additional Information Additional Information Gender-Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across truly value. Show more Show less

Job Description Having quick turnaround and increased test coverage is the need of the hour; hence the increased emphasis on automation testing across projects. Publicis Sapient is looking for automation experts who in addition to the expertise in the tools and techniques also have the knack to understand the business needs, ROI and accordingly create the automation strategy. Assures consistent quality of Software Applications production by developing and enforcing robust Automated Software QE strategy, practices, and processes, providing documentation and managing people. They collaborate the with the project, business and (QE) teams, to develop detailed automated scripts, test frameworks to make the overall system more effective and efficient for our clients. Responsible for the overall quality of the project through effective QE leadership and management to ensure that all deliverables in terms of time, price and quality are met. This individual must have a proven track record of success building, leading, and managing a functional and technical QE team with a strong sense of quality ownership. This is a hands-on job that requires strategic thinking and planning to provide leadership and expertise throughout the entire QA lifecycle, ensuring the success of the team s manual and automation efforts in an agile working environment Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques. Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities Well-versed with most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently Have expertise to enforce/adhere defect or other processes in the team Preferred (Mostly for people being hired at the Senior Associate Career Stage) Mentored or coached at least one person. Can define Automation Test strategy and test plan for low and medium complexity applications taking into account the business needs, ROI etc. Able to maintain and report test coverage matrix Able to identify device coverage for the application in question. Can devise regression testing approach Qualifications 6-9 years of experience with QE for distributed, highly scalable systems. Good understanding of OOPS concepts and strong programming skills in Java, Groovy, or JavaScript Hands-on experience in working with at least one GUI-based test automation tool for desktop and/or mobile automation. Experience with multiple tools will be added advantage Proficient in writing SQL queries & familiarity with the process of test automation tool selection & test approach. Experience in designing and developing automation frameworks and creation of scripts using best industry practices such as Page object model Integrate test suites into the test management system and custom test harness. Familiar with the implementation of design patterns, modularization, and user libraries for framework creation Can mentor team as well as has short learning curve for new technology, Understands all aspects of Quality Engineering. Understanding of SOAP and REST principles Thorough understanding of microservices architecture. In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS Hands-on experience working with Postman or similar tool & parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar Hands-on experience in performing Request and Response Schema validation, Response codes, and exceptions. Good Understanding of BDD, TDD methodologies, and tools like Cucumber, TestNG, Junit, or similar. Experience in defining API E2E testing strategy, designing and developing API automation framework. Working experience on building tools Maven / Gradle, Git, etc. Experience in creating test pipeline – CI/CD, possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar/expert in domains like retail banking, automobile, insurance, betting, food markets, hotel industry, healthcare) Used /Exposure to automation tool for automating mobile applications & non-functional testing To set up test environment for execution on cloud environments such as Sauce Labs, browser stack. Knowledge of new tools (open source & licensed) in the automation world and have the knack to explore them and keep abreast with the latest tools in the market Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber, DevOps Knowledge and experience in service virtualization and tools like CA Lisa. Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable Experience in test management tools like Xray & Zephyr and integration of test framework with these tools. Understanding of commonly used software design patterns like Builder, Factory, Singleton and Façade Possess excellent Communication skills (written, verbal both formal & informal). Helps to create a positive, collaborative working environment for the team. Quick grasping and flexibility to adapt to new technologies/processes & Ability to multi-task under pressure and work independently with minimal supervision. i.e. Ability to prioritize when under pressure Efficiently makes tough decisions and communicates them effectively & independently manages operational level client meetings. Develops strong relationships with appropriate client stakeholders. Acts as the primary POC/facilitator for planned (regular) client meetings. Manages peer-level client relationships (expectations, communications, negotiations, escalation, feedback, etc.) Education: Full time Bachelor’s/Master’s engineering degree Additional Information Gender-Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across truly value. 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MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. As a Forward Deployed AI Engineer on our newly formed Field Engineering team, you’ll work directly with enterprise customers on high-impact projects that leverage Generative AI, LLMs, and modern application development. You’ll be hands-on in helping organizations migrate legacy databases, modernize their architecture, and integrate AI-driven functionality into their applications. This is a rare opportunity to apply your software engineering expertise while driving AI adoption across industries. You’ll not only solve challenging, real-world engineering problems, but also influence MongoDB’s AI strategy and product direction. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What You’ll Do Work with enterprise customers to refactor applications, migrate legacy databases, and optimize performance using MongoDB Prototype and build AI-powered features, leveraging LLMs and Generative AI frameworks to improve software development workflows and application functionality Apply modern software engineering practices to accelerate customers’ AI adoption, helping them implement microservices-based architectures, intelligent automation, and AI-enhanced applications Influence MongoDB’s AI and software development roadmap by sharing insights from real-world implementations and customer needs Collaborate across engineering, product, and customer teams to create scalable, resilient software solutions What We’re Looking For 8+ years of experience in software engineering, with a proven track record of delivering impactful technical solutions for enterprise clients, preferably using Java, SQL, and Python An engineering degree in Computer Science, Machine Learning, Mathematics, Network Engineering, or Electrical Engineering In-depth knowledge of AI/ML concepts, tools, and open-source development; experience designing and implementing AI-powered applications is highly preferred Proficient in test-driven development methodologies and familiar with monolithic vs. microservices architectures, including database migration and refactoring Strong problem-solving skills and a passion for tackling complex, “un-Googleable” challenges while driving innovation through software development Preferred qualifications: Academic research experience in parsing, AI/ML, or programming languages To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. **MongoDB is an equal opportunities employer** Req ID - 2263149964 Show more Show less

- 3+ years of building models for business application experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Knowledge of standard speech and machine learning techniques The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key responsibilities include: - Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. - Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. - Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. - Engage in effective technical communication (written & spoken) with coordination across teams. - Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. - Publish research papers in internal and external venues of repute - Support on-call activities for critical issues Basic Qualifications: - Master’s or PhD in computer science, statistics or a related field - 2-7 years experience in deep learning, machine learning, and data science. - Proficiency in coding and software development, with a strong focus on machine learning frameworks. - Experience in Python, or another language; command line usage; familiarity with Linux and AWS ecosystems. - Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. - Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. - Papers published in AI/ML venues of repute Preferred Qualifications: - Track record of diving into data to discover hidden patterns and conducting error/deviation analysis - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations - The motivation to achieve results in a fast-paced environment. - Exceptional level of organization and strong attention to detail - Comfortable working in a fast paced, highly collaborative, dynamic work environment Experience using Unix/Linux Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing This role is to solve business problems in Machine Learning for the Seller and Fulfilment Tech (SFT) org. The overarching goal of the team is to enhance ML expertise and fluency within SFT and across IST, championing engineering and operational excellence in ML model development and other related parts of the ML model lifecycle. Some of the key areas which the team owns in this space area: Selection Recommendations, Registration improvements, Bad actor detection and prevention Selection economics, Inventory recommendation, Delivery Promise Predictions, Seller success. Within the ML space, the scientist would have to solve intrinsically hard problems where neither problem nor solution is well defined. So, the leader should have high focus on building a deep understanding of the ML science space, experimentation methodology, as well as a high focus on embracing external trends, especially applications of GenerativeAI and LLMs. A large focus area for the role is to also contribute towards the science and research aspects. The ASII leader applies and extends existing scientific techniques, and invents new ones to address specific customers’ needs or business problems, at a project level. This should also lead to regular contributions to internal or external peer-reviewed publications that validate novelty Experience using Unix/Linux Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science and Automation We will count on you to: Identify opportunities which add value to the business and make the process more efficient. Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text. Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning. Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI). Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer. Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX. Collaborate with data engineers and software developers to integrate AI models into production workflows. Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases. Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions. Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. Conduct code reviews and provide mentorship to junior developers. Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services. Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues. Be responsible for the professional development of your projects and institute a succession plan. What you need to have: Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline. Proven experience of 8-12 years in Python development Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack. Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction. Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP). Experience deploying models as APIs/microservices using FastAPI, Flask, or similar. Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit). Solid understanding of prompt engineering and prompt-tuning techniques. Proven experience with data automation and building data pipelines. Proven track record in building and maintaining data pipelines and ETL processes. Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot. Familiarity with database management systems (SQL and NoSQL databases). Experience in designing and implementing system architecture. Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization. Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest). Strong attention to detail and ability to work with complex data sets. Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills Excellent project management and organization skills Superlative stakeholder management skills – ability to positively influence stakeholders. Synthesis skills- Ability to connect the dots and answer the business question. Excellent problem-solving, structuring and critical-thinking skills. Ability to work independently and collaboratively in a fast-paced environment. What makes you stand out? Master’s degree in Computer Science, Engineering, or related fields. Experience in working with large-scale data sets and real-time data processing. Familiarity with additional programming languages like Java, C++, or R. Strong problem-solving skills and ability to work in a fast-paced environment. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. 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Checkmarx is the enterprise application security leader and the host of Checkmarx One™ — the industry -leading cloud-native AppSec platform that helps enterprises build #DevSecTrust. Description Who are we? Checkmarx is the leader in application security and ensures that enterprises worldwide can secure their application development from code to cloud. Our consolidated platform and services address the needs of enterprises by improving security and reducing TCO, while simultaneously building trust between AppSec, developers, and CISOs. At Checkmarx, we believe it’s not just about finding risk but remediate it across the entire application footprint and software supply chain with one seamless process for all relevant stakeholders. We are honored to serve more than 1,800 customers, which includes 40 percent of all Fortune 100 companies including Siemens, Airbus, SalesForce, Stellantis, Adidas, Wal-Mart and Sanofi. We’re excited to expand our global presence with the opening of a new site in Pune, India—an innovation hub designed to attract top talent and fuel the future of application security. Joining our Pune team means working on cutting-edge technologies in cloud, DevSecOps, AI-driven security and being part of a high-impact engineering culture where your code helps secure the software that powers the world. What would you be doing? Excellent team/autonomous work capabilities. With C#/.Net as primary technology, you will cross skill yourself in other programming languages and technologies required in the project. Developing the detailed design structure after understanding the requirements and the design. Implementing the best practices, coding standards and secure coding practices. Studying, exploring and understanding the details of software vulnerabilities. Maintaining and improving lookup patterns (queries) to ensure high quality SAST results. Triaging product defects. Maintaining the account of time and reporting regularity of own work Create and maintain technical documentation. Requirements Bachelor of Computer Science / Computer Engineering or graduate of leading technological units 3+ years of experience in software development At least 1 year of experience developing a tech company Experience in backend development with object-oriented programming languages, namely C#. Strong logical reasoning and code reading skills Ability to read requirements and implement them into code Must have expertise in any one SCM tool like GitHub/Gitlab/Azure DevOps etc. Excellent written and verbal communication in English Team player, can-do approach Nice to Have Knowledge/background in Cyber Security and SAST Knowledge in static analysis terms and techniques (parsing, resolving, control flow, data flow, etc) Practical experience in web development Understanding of CI/CD technologies and tools such as Jenkins, CircleCI and alike What we have to offer Checkmarx offers a great work environment, professional development, challenging careers, competitive compensation, great work-life balance, as well as great benefits and perks throughout the year. Checkmarx is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law Show more Show less

Checkmarx is the enterprise application security leader and the host of Checkmarx One™ — the industry -leading cloud-native AppSec platform that helps enterprises build #DevSecTrust. Description Who are we? Checkmarx is the leader in application security and ensures that enterprises worldwide can secure their application development from code to cloud. Our consolidated platform and services address the needs of enterprises by improving security and reducing TCO, while simultaneously building trust between AppSec, developers, and CISOs. At Checkmarx, we believe it’s not just about finding risk but remediate it across the entire application footprint and software supply chain with one seamless process for all relevant stakeholders. We are honored to serve more than 1,800 customers, which includes 40 percent of all Fortune 100 companies including Siemens, Airbus, SalesForce, Stellantis, Adidas, Wal-Mart and Sanofi. We’re excited to expand our global presence with the opening of a new site in Pune, India—an innovation hub designed to attract top talent and fuel the future of application security. Joining our Pune team means working on cutting-edge technologies in cloud, DevSecOps, AI-driven security and being part of a high-impact engineering culture where your code helps secure the software that powers the world. What would you be doing? Excellent team/autonomous work capabilities. With C#/.Net as primary technology, you will cross skill yourself in other programming languages and technologies required in the project. Developing the detailed design structure after understanding the requirements and the design. Implementing the best practices, coding standards and secure coding practices. Studying, exploring and understanding the details of software vulnerabilities. Maintaining and improving lookup patterns (queries) to ensure high quality SAST results. Maintaining the account of time and reporting regularity of own work Create and maintain technical documentation. Requirements Bachelor of Computer Science / Computer Engineering or graduate of leading technological units Open minded and learning spirit (towards application security) Excellent written and verbal communication in English Team player, can-do approach Nice to Have Knowledge/background in Cyber Security and SAST Knowledge in static analysis terms and techniques (parsing, resolving, control flow, data flow, etc) Practical experience in .Net development Practical experience in web development Understanding of CI/CD technologies and tools such as Jenkins, CircleCI and alike What we have to offer Checkmarx offers a great work environment, professional development, challenging careers, competitive compensation, great work-life balance, as well as great benefits and perks throughout the year. Checkmarx is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. Show more Show less

Job Description Having quick turnaround and increased test coverage is the need of the hour; hence the increased emphasis on automation testing across projects. Publicis Sapient is looking for automation experts who in addition to the expertise in the tools and techniques also have the knack to understand the business needs, ROI and accordingly create the automation strategy. Assures consistent quality of Software Applications production by developing and enforcing robust Automated Software QE strategy, practices, and processes, providing documentation and managing people. They collaborate the with the project, business and (QE) teams, to develop detailed automated scripts, test frameworks to make the overall system more effective and efficient for our clients. Responsible for the overall quality of the project through effective QE leadership and management to ensure that all deliverables in terms of time, price and quality are met. This individual must have a proven track record of success building, leading, and managing a functional and technical QE team with a strong sense of quality ownership. This is a hands-on job that requires strategic thinking and planning to provide leadership and expertise throughout the entire QA lifecycle, ensuring the success of the team s manual and automation efforts in an agile working environment Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques. Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities Well-versed with most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently Have expertise to enforce/adhere defect or other processes in the team Preferred (Mostly for people being hired at the Senior Associate Career Stage) Mentored or coached at least one person. Can define Automation Test strategy and test plan for low and medium complexity applications taking into account the business needs, ROI etc. Able to maintain and report test coverage matrix Able to identify device coverage for the application in question. Can devise regression testing approach Qualifications 6-9 years of experience with QE for distributed, highly scalable systems. Good understanding of OOPS concepts and strong programming skills in Java, Groovy, or JavaScript Hands-on experience in working with at least one GUI-based test automation tool for desktop and/or mobile automation. Experience with multiple tools will be added advantage Proficient in writing SQL queries & familiarity with the process of test automation tool selection & test approach. Experience in designing and developing automation frameworks and creation of scripts using best industry practices such as Page object model Integrate test suites into the test management system and custom test harness. Familiar with the implementation of design patterns, modularization, and user libraries for framework creation Can mentor team as well as has short learning curve for new technology, Understands all aspects of Quality Engineering. Understanding of SOAP and REST principles Thorough understanding of microservices architecture. In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS Hands-on experience working with Postman or similar tool & parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar Hands-on experience in performing Request and Response Schema validation, Response codes, and exceptions. Good Understanding of BDD, TDD methodologies, and tools like Cucumber, TestNG, Junit, or similar. Experience in defining API E2E testing strategy, designing and developing API automation framework. Working experience on building tools Maven / Gradle, Git, etc. Experience in creating test pipeline – CI/CD, possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar/expert in domains like retail banking, automobile, insurance, betting, food markets, hotel industry, healthcare) Used /Exposure to automation tool for automating mobile applications & non-functional testing To set up test environment for execution on cloud environments such as Sauce Labs, browser stack. Knowledge of new tools (open source & licensed) in the automation world and have the knack to explore them and keep abreast with the latest tools in the market Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber, DevOps Knowledge and experience in service virtualization and tools like CA Lisa. Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable Experience in test management tools like Xray & Zephyr and integration of test framework with these tools. Understanding of commonly used software design patterns like Builder, Factory, Singleton and Façade Possess excellent Communication skills (written, verbal both formal & informal). Helps to create a positive, collaborative working environment for the team. Quick grasping and flexibility to adapt to new technologies/processes & Ability to multi-task under pressure and work independently with minimal supervision. i.e. Ability to prioritize when under pressure Efficiently makes tough decisions and communicates them effectively & independently manages operational level client meetings. Develops strong relationships with appropriate client stakeholders. Acts as the primary POC/facilitator for planned (regular) client meetings. Manages peer-level client relationships (expectations, communications, negotiations, escalation, feedback, etc.) Education: Full time Bachelor’s/Master’s engineering degree Additional Information Gender-Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across truly value. 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Job Description Having quick turnaround and increased test coverage is the need of the hour; hence the increased emphasis on automation testing across projects. Publicis Sapient is looking for automation experts who in addition to the expertise in the tools and techniques also have the knack to understand the business needs, ROI and accordingly create the automation strategy. Assures consistent quality of Software Applications production by developing and enforcing robust Automated Software QE strategy, practices, and processes, providing documentation and managing people. They collaborate the with the project, business and (QE) teams, to develop detailed automated scripts, test frameworks to make the overall system more effective and efficient for our clients. Responsible for the overall quality of the project through effective QE leadership and management to ensure that all deliverables in terms of time, price and quality are met. This individual must have a proven track record of success building, leading, and managing a functional and technical QE team with a strong sense of quality ownership. This is a hands-on job that requires strategic thinking and planning to provide leadership and expertise throughout the entire QA lifecycle, ensuring the success of the team s manual and automation efforts in an agile working environment. Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques. Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities. Well-versed with most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently. Have expertise to enforce/adhere defect or other processes in the team Preferred (Mostly for people being hired at the Senior Associate Career Stage). Mentored or coached at least one person. Can define Automation Test strategy and test plan for low and medium complexity applications taking into account the business needs, ROI etc. Able to maintain and report test coverage matrix Able to identify device coverage for the application in question. Can devise regression testing approach. Qualifications 4-6 years of experience. Experience with QE for distributed, highly scalable systems. Good understanding of OOPS concepts and strong programming skills in Java, Groovy, or JavaScript Hands-on experience in working with at least one GUI-based test automation tool for desktop and/or mobile automation. Experience with multiple tools will be added advantage. Proficient in writing SQL queries & familiarity with the process of test automation tool selection & test approach Experience in designing and developing automation frameworks and creation of scripts using best industry practices such as Page object model. Integrate test suites into the test management system and custom test harness Familiar with the implementation of design patterns, modularization, and user libraries for framework creation. Can mentor team as well as has short learning curve for new technology. Understands all aspects of Quality Engineering Understanding of SOAP and REST principles, Thorough understanding of microservices architecture. In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS Hands-on experience working with Postman or similar tool. Hands-on experience in parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar Hands-on experience in performing Request and Response Schema validation, Response codes, and exceptions. Good Understanding of BDD, TDD methodologies, and tools like Cucumber, TestNG, Junit, or similar. Experience in defining API E2E testing strategy, designing and developing API automation framework. Working experience on building tools Maven / Gradle, Git, etc. Experience in creating test pipeline – CI/CD Possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar/expert in domains like retail banking, automobile, insurance, betting, food markets, hotel industry, healthcare) Used /Exposure to automation tool for automating mobile applications & non-functional testingTo set up test environment for execution on cloud environments such as Sauce Labs, browser stack. Knowledge of new tools (open source & licensed) in the automation world and have the knack to explore them and keep abreast with the latest tools in the market Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber, DevOps Knowledge and experience in service virtualization and tools like CA Lisa. Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable Experience in test management tools like Xray & Zephyr and integration of test framework with these tools Understanding of commonly used software design patterns like Builder, Factory, Singleton and Façade Possess excellent Communication skills (written, verbal both formal & informal) Helps to create a positive, collaborative working environment for the team. Quick grasping and flexibility to adapt to new technologies/processes Ability to multi-task under pressure and work independently with minimal supervision. i.e. Ability to prioritize when under pressure Efficiently makes tough decisions and communicates them effectively. Independently manages operational level client meetings. Develops strong relationships with appropriate client stakeholders. Acts as the primary POC/facilitator for planned (regular) client meetings. Manages peer-level client relationships (expectations, communications, negotiations, escalation, feedback, etc.) Education: Full time Bachelor’s/Master’s engineering degree. Additional Information Gender-Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well-being. Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across truly value. Show more Show less

Job Description Having quick turnaround and increased test coverage is the need of the hour; hence the increased emphasis on automation testing across projects. Publicis Sapient is looking for automation experts who in addition to the expertise in the tools and techniques also have the knack to understand the business needs, ROI and accordingly create the automation strategy. Assures consistent quality of Software Applications production by developing and enforcing robust Automated Software QE strategy, practices, and processes, providing documentation and managing people. They collaborate the with the project, business and (QE) teams, to develop detailed automated scripts, test frameworks to make the overall system more effective and efficient for our clients. Responsible for the overall quality of the project through effective QE leadership and management to ensure that all deliverables in terms of time, price and quality are met. This individual must have a proven track record of success building, leading, and managing a functional and technical QE team with a strong sense of quality ownership. This is a hands-on job that requires strategic thinking and planning to provide leadership and expertise throughout the entire QA lifecycle, ensuring the success of the team s manual and automation efforts in an agile working environment. Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques. Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities. Well-versed with most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently. Have expertise to enforce/adhere defect or other processes in the team Preferred (Mostly for people being hired at the Senior Associate Career Stage). Mentored or coached at least one person. Can define Automation Test strategy and test plan for low and medium complexity applications taking into account the business needs, ROI etc. Able to maintain and report test coverage matrix Able to identify device coverage for the application in question. Can devise regression testing approach. Qualifications 4-6 years of experience. Experience with QE for distributed, highly scalable systems. Good understanding of OOPS concepts and strong programming skills in Java, Groovy, or JavaScript Hands-on experience in working with at least one GUI-based test automation tool for desktop and/or mobile automation. Experience with multiple tools will be added advantage. Proficient in writing SQL queries & familiarity with the process of test automation tool selection & test approach Experience in designing and developing automation frameworks and creation of scripts using best industry practices such as Page object model. Integrate test suites into the test management system and custom test harness Familiar with the implementation of design patterns, modularization, and user libraries for framework creation. Can mentor team as well as has short learning curve for new technology. Understands all aspects of Quality Engineering Understanding of SOAP and REST principles, Thorough understanding of microservices architecture. In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS Hands-on experience working with Postman or similar tool. Hands-on experience in parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar Hands-on experience in performing Request and Response Schema validation, Response codes, and exceptions. Good Understanding of BDD, TDD methodologies, and tools like Cucumber, TestNG, Junit, or similar. Experience in defining API E2E testing strategy, designing and developing API automation framework. Working experience on building tools Maven / Gradle, Git, etc. Experience in creating test pipeline – CI/CD Possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar/expert in domains like retail banking, automobile, insurance, betting, food markets, hotel industry, healthcare) Used /Exposure to automation tool for automating mobile applications & non-functional testingTo set up test environment for execution on cloud environments such as Sauce Labs, browser stack. Knowledge of new tools (open source & licensed) in the automation world and have the knack to explore them and keep abreast with the latest tools in the market Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber, DevOps Knowledge and experience in service virtualization and tools like CA Lisa. Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable Experience in test management tools like Xray & Zephyr and integration of test framework with these tools Understanding of commonly used software design patterns like Builder, Factory, Singleton and Façade Possess excellent Communication skills (written, verbal both formal & informal) Helps to create a positive, collaborative working environment for the team. Quick grasping and flexibility to adapt to new technologies/processes Ability to multi-task under pressure and work independently with minimal supervision. i.e. Ability to prioritize when under pressure Efficiently makes tough decisions and communicates them effectively. Independently manages operational level client meetings. Develops strong relationships with appropriate client stakeholders. Acts as the primary POC/facilitator for planned (regular) client meetings. Manages peer-level client relationships (expectations, communications, negotiations, escalation, feedback, etc.) Education: Full time Bachelor’s/Master’s engineering degree. Additional Information Gender-Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well-being. Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across truly value. Show more Show less

Who we are: Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. We are looking for a highly motivated and solution-oriented Senior Data Analyst to join our Search team. The team leverages Wayfair’s huge datasets to inform the product roadmap of our Search algorithms and technology. We work in close collaboration with a high performing team of engineers, machine learning scientists, and product managers who are on the leading edge of the search space. Examples of our work are: Design, run and analyze the results of A/B tests of new search algorithms and strategies (e.g. to generate predictive search suggestions); we also develop new testing and test analysis methodologies. KPI reporting and monitoring; this includes anomaly detection tools and advanced measurement approaches. Exploratory data analysis (e.g. clustering/segmentation) to generate new insights & inform our search roadmap. Use and develop our in-house automated tools; for instance, we have created a QA tool to better understand the performance of our new algorithms before A/B testing them. What you will do: Run open-ended exploratory data analysis to identify new ideas and opportunities Design and run A/B tests of our latest search algorithms Proactively monitor our search algos and systems to identify potential issues, determine root causes, and resolve. Build new tools that allow us to be more productive and efficient Work closely and build productive relationships with our product, engineering and machine learning stakeholders. Communicate key insights and recommendations to cross-functional executive leaders across the organization We Are a Match Because You Have: 3+ years of professional experience in an analytical role (in addition to any graduate education). Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred. Analytics or Data Science experiences with e-commerce companies is a strong plus. In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required. In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required. Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, required. Experience working with machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, preferred. Strong written and verbal communication with a team player, highly collaborative attitude. Ability to collaborate and proactively communicate with stakeholders. Proven track record of taking ownership and driving results. Thrive in a fast-paced environment. Strong business acumen, analytical skills, and technical abilities along with Show more Show less

Project Description: Our client is a US subsidiary of a global financial house working in multiple markets and asset classes. The client has a requirement to migrate a big number of applications/systems running on hundreds of Windows/Unix servers (prod/non-prod) and components marked as EOL (End-of-Life) - Win 2012/2014, UNIX RHEL6, SQL 2016, Java 8, etc. to modern versions. The scope of activities will include migration of applications (including DB/MW) and underlying infrastructure layer (OS, ESX, storage) to the latest (stable) infra stack: (Win 2012/2014 -> Win 2019, Unix RHEL6 -> Unix RHEL7), SQL 2016 -> SQL 2019, Java 8 -> Java 11. The project also involves some application technology stack modernization We are currently looking to build a distributed ~20 strong team of functional analysts, infrastructure and DevOps specialists, test engineers and developers led by an on-site project manager to assume full responsibility for project delivery. Anticipated project duration is ~ 1 year. Luxoft is proposing permanent employment, competitive salary and benefits package and possibility to move to different projects within Luxoft upon the project completion. The intent is to operate in WFH mode mostly, working from the office is possible upon request. Responsibilities: • Communicating with client on requirements • Proposing the solution and providing estimations, being able to discuss different options • Programming in Java, PL/SQL, Shell scripts • Implementing and modifying functional and unit test • Fixing bugs and providing hot fixes • Preparing release notes • Interacting with project management, reporting status Mandatory Skills: • At least 5 years of Java/J2EE • Experience with Oracle & PL-SQL • Shell/Batch/Perl scripting • Swift messaging • XML parsing Verbal and written communication skills in English are essential. Nice-to-Have Skills: • JIRA/Confluence • Control-M • Microsoft Message Queue (MSMQ) • Experience in finance/capital markets Languages: English: B2 Upper Intermediate Show more Show less

Wissen Technology is Hiring for C++ Developer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are seeking a skilled C++ Developer with strong expertise in building market data feed handlers for derivatives exchanges, specifically within the Indian financial markets. This role demands low-latency systems knowledge, scripting skills, and familiarity with messaging protocols and network diagnostics tools. Key Responsibilities: Develop and maintain market data feed handlers for various Indian derivatives exchanges . Ensure high-performance, low-latency processing of real-time market data. Work closely with trading and infrastructure teams to optimize data flow and system performance. Implement efficient parsing, processing, and transformation of exchange protocols into internal formats. Collaborate in debugging production issues and enhancing data delivery reliability. Required Skills : Strong programming skills in C++ , with a focus on performance optimization and low-latency systems. Intermediate Linux skills, including shell scripting and command-line tools like grep , awk , sed . Advanced scripting experience in Python for automation and testing. Basic understanding of networking protocols : TCP, UDP, Multicast, Unicast. Familiarity with packet capture tools (e.g., Wireshark, tcpdump , tshark ). Nice-to-Have Skills: Experience with Ruby scripting. Exposure to high-performance messaging libraries like Tibco RV, 29West LBM, Aeron, or similar. Knowledge of exchange market data formats and protocols in the Indian trading ecosystem (e.g., NSE, BSE, MCX). The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right ’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to W ork® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard ’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website : Show more Show less

BOLD is seeking for addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOU’LL DO Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience WHAT YOU’LL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Should have done one or more projects involving fine-tuning with LLMs Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT'S GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net – NR EXPERIENCE- Software Engineer, DataScience- 2.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

As an **Artificial Intelligence Engineer**, you will play a crucial role in designing, developing, and deploying AI systems. Your work will involve translating complex data into AI-driven solutions that can operate autonomously in real-time environments. You'll be responsible for writing code, deploying models to production, and continuously monitoring and updating them as needed. Years of experience needed –8+ years of experien ce Technical Skills Algorithm Developm ent: Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence pro cess Model Creat ion: Develop and validate algorithms, neural networks, and other machine learning mod els Generative AI: Specialize in generative AI, which involves creating AI systems that autonomously generate content. Machine Learn ing: Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (N LP): Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GTP Data Manage ment: Handle data pre-processing, augmentation, and synthetic data generation. Show more Show less

Description Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics Train custom Gen AI models that beat SOTA and paves path for developing production models Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications 3+ years of building models for business application experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Bachelor's degree in computer science, electrical engineering, or related field Preferred Qualifications Experience using Unix/Linux Experience in professional software development Knowledge of standard speech and machine learning techniques Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A2964694 Show more Show less

Job title: LLM Model Developer – India About SailPoint: SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. About the role: Want to be on a team that full of results-driven individuals who are constantly seeking to innovate? At SailPoint, our Engineering team does just that. In this role, You will be responsible for feature development within the team, writing exemplary code, consistently setting the bar for code reviews and technical advice on your team. Responsibilities : Fine-tune large language models using models available in Amazon Bedrock to enhance model relevance and performance in specific contexts Collaborate with cross-functional teams to understand business requirements and develop models that meet those requirements. Stay updated with the latest advancements in machine learning and data science, integrating innovative approaches for sustained competitive advantage. Deliver efficient, maintainable, robust Java code. Produce designs and rough estimates, and implement features based on product requirements. Collaborate with peers on designs, code reviews, and testing. Requirements: 5+ years of overall experience in machine learning and deep learning, with 2+ years focused on Large Language Models (LLMs) and Generative AI. Experience in Amazon Bedrock service, LLM models. Expertise in Retrieval-Augmented Generation (RAG) techniques, including ingestion techniques, parsing/chunking strategies, reranking, embedding, and vector databases. Strong background in prompt engineering, including system prompts and context prompting to enhance model interactions and outputs. Knowledge of ethical AI practices, including guardrails to prevent prompt injections and ensure responsible AI usage. Strong Java experience Great communication skills BS in Computer Science, or a related field Preferred Experience with AWS Experience with Continuous Delivery What success looks like in the role Within the first 30 days you will: Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your test and development environment. Seek to deeply understand business problems or common engineering challenges and propose software architecture designs to solve them elegantly by abstracting useful common patterns. By 90 days: Proactively collaborate on, discuss, debate and refine ideas, problem statements, and software designs with different (sometimes many) stakeholders, architects and members of your team. Take a committed approach to prototyping and co-implementing systems alongside less experienced engineers on your team—there’s no room for ivory towers here. By 6 months: Collaborates with Product Management and Engineering Lead to estimate and deliver small to medium complexity features more independently. Occasionally serve as a debugging and implementation expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner. Share support of critical team systems by participating in calls with customers, learning the characteristics of currently running systems, and participating in improvements. About SailPoint India and our Benefits: Nestled in the heart of Pune, a bustling hub of technology and culture, the office exemplifies SailPoint's commitment to excellence. Surrounded by a vibrant atmosphere, the Pune office serves as a strategic center for the company, where cutting-edge solutions are crafted and implemented to address the ever-evolving challenges in identity security. With a team of highly skilled professionals, the office embodies SailPoint's values of Integrity, Innovation, Impact and Individuals. Our Pune team works under a hybrid model enjoying the office 3 days a week (unless otherwise specified). We provide excellent office amenities, competitive salaries and strong benefits: Our benefits program offers medical insurance for employees and their dependents, accident insurance and term life insurance for all employees. All premiums are paid by SailPoint. Company sponsored health-checkups for employees and discounted rates for dependents Annual performance bonus Private equity at certain levels 24 Leaves every year in addition, 10 holidays Flexible Work hours. SailPoint is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Show more Show less

Sprinto is a leading platform that automates information security compliance. By raising the bar on information security, Sprinto ensures compliance, healthy operational practices, and the ability for businesses to grow and scale with unwavering confidence. We are a team of 200+ employees & helping 1000+ Customers across 75+ Countries . We are funded by top investment partners Accel, ELEVATION & Blume Ventures and have raised 32 Million USD in funding including our latest Series B round Role: We are seeking a motivated AI Engineering Intern to support the development and enhancement of our AI-powered solutions. In this internship, you'll have the opportunity to contribute to Sprinto's AI infrastructure, assist in optimizing systems, and gain hands-on experience with machine learning and AI technologies. Working alongside experienced engineers, data scientists, and product teams, you'll help create efficient data pipelines and developer tools that enable innovative AI-driven solutions Responsibilities Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs) Help evaluate system performance and participate in proposing solutions for optimization Actively participate in team discussions, fostering a collaborative and innovative learning environment Requirements Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related technical field Basic understanding of machine learning concepts, data processing, and AI technologies Experience with Python and familiarity with frameworks like TensorFlow, PyTorch, or similar Strong problem-solving skills and a willingness to learn quickly Excellent communication skills and ability to work collaboratively in a team setting Preferred: Experience or coursework in software development and data engineering Familiarity with cloud services like AWS, GCP, or Azure Interest in developing scalable AI systems and services Benefits Remote First Policy 5 Days Working With FLEXI Hours Group Medical Insurance (Parents, Spouse, Children) Group Accident Cover Company Sponsored Device Education Reimbursement Policy Show more Show less