584 Parsing Jobs - Page 22

Description The Amazon Last Mile Geospatial team builds systems that model the real world to enable routing for drivers. We build, maintain and vend base map data, road network data, map tiles, geocodes of addresses and time estimates for service as well as transit times. We also provide a shortest path service to find fastest paths between locations and a service to optimize consolidation of stops. Together these systems help us get better at determining the locations that we go to deliver packages, figure out how to get to those locations and to estimate the effort of delivery for planning. While it may be easy to say “Why build yet another Maps?” as a first reaction, as we go deeper into our problems, the answer becomes increasingly clear and challenging. We are building systems that enable depth focused solutions. For example, we are interested in not only getting a person to an address like 300 Boren Ave N, we are also interested in helping them find out if there is a mailing room in the building and if there is, helping them navigate quickly to that mailing room. We are also interested in accurately estimating how long it would take to arrive at the address, find the mailing room and drop a package there. We will incorporate the ability to leverage mass transit, multiple modes of transportation and traffic awareness to find the most efficient paths for our drivers. We are also interested in making it easy to calculate paths on cheap mobile devices or in simplifying the process to find an efficient path to cover hundreds of delivery points. Several of these problems require us in building systems that can work with an ensemble of models as well as support the right segmentation of inputs to make good estimates on the outputs. There are several unsolved or partially solved problems in this space such as automatically adding new roads detected from sensor/video data into the larger road graph, deterministically detecting if a new road is in fact just a modification to an existing road (such as a change in curvature of an existing road due to a new sidewalk), accurately determining the bearing of a person when they start traveling leveraging only a single and single IMU sensor source, parsing unstructured addresses such as in countries like India, processing alternate solutions within microseconds on a mobile device without talking to a backend service and so on. The right person for this space would enjoy working in a space that requires constantly pushing both the research and technology boundaries to unlock solutions to such problems. Our key output metrics include location accuracy, coverage and accuracy of our road network for routing and users to the correct location, predictive accuracy of service and transit estimates. We also measure the operational impact of these inputs on delivery success and on the gaps between actual versus planned on-zone times, transit times and service times. If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. #lastmile #maps_intelligence #sensor_intelligence Key job responsibilities Participate in the design, implementation, and deployment of successful large-scale systems and services in support of our fulfillment operations and the businesses they support. Participate in the definition of secure, scalable, and low-latency services and efficient physical processes. Work in expert cross-functional teams delivering on demanding projects. Functionally decompose complex problems into simple, straight-forward solutions. Understand system interdependencies and limitations. Share knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Basic Qualifications Bachelor's degree in computer science or equivalent 2+ years of non-internship professional software development experience 2+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Preferred Qualifications Experience building complex software systems that have been successfully delivered to customers Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems 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 - Amazon Dev Center India - Hyderabad Job ID: A2895144 Show more Show less

Job description Pranatree LLC is seeking an experienced LLM Scientist to join our team, focusing on the development, fine-tuning, and deployment of cutting-edge Large Language Models (LLMs) and Generative AI solutions. This role requires a strong foundation in data science, AI, and software engineering, with a particular emphasis on building innovative solutions for complex, unstructured problems. The position is remote and involves working on high-impact projects that push the boundaries of what LLMs can achieve. Responsibilities LLM Fine-Tuning and Development: Research, fine-tune, and deploy LLMs, optimizing their capabilities to solve diverse AI problems. Generative AI Solutions: Leverage advanced AI and machine learning techniques to build prototypes and production-grade solutions for various use cases. RAG Pipelines: Design and implement Retrieval-Augmented Generation pipelines to improve the accuracy and relevance of AI outputs. Prototyping: Build and demonstrate working prototypes using frameworks such as Streamlit or Dash. Algorithm and Data Structures Expertise: Apply strong knowledge of algorithms and data structures to parse and process unstructured data effectively. System Performance and Debugging: Profile, debug, and optimize machine learning systems for scalability and performance in large-scale environments. Collaboration and Problem Solving: Work collaboratively with data scientists, engineers, and cross-functional teams to solve unstructured, complex problems using AI. Communication: Communicate technical concepts and project updates clearly and effectively to stakeholders. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Minimum of 5 years of experience in software development, including relevant work in AI and machine learning. Technical Skills Programming Proficiency: Strong coding skills in Python, Java, or C++. Data Science and AI: Solid foundation in data science and experience with Generative AI. LLM Expertise: Experience with fine-tuning large language models and familiarity with RAG pipelines. Frameworks for Prototyping: Proficiency in building prototypes using Streamlit, Dash, or similar app frameworks. Algorithms and Data Structures: Strong background in algorithms, data structures, and parsing unstructured data. System Performance: Experience with profiling, debugging, and ensuring the scalability of machine learning systems. Preferred Experience: Hands-on experience with Generative AI and fine-tuning LLMs. Soft Skills Strong communication skills to convey complex technical ideas. Problem-solving ability, especially in unstructured and ambiguous scenarios. Performance Expectations Develop and fine-tune LLMs for various applications, ensuring high performance and reliability. Design and deploy prototypes that showcase practical uses of LLMs and Generative AI. Collaborate effectively within a multidisciplinary team to develop innovative AI-driven solutions. Ensure scalable and high-performance AI systems through effective profiling and debugging practices. Show more Show less

About This Role Required Experience: 4-7 years of experience in financial services, with the following capabilities: Analytical approach Basic or intermediate coding and programming skills Verbal and written communication Critical thinking Multitasking and time management Purpose And Scope Every day, Client Success Specialists tackles the hardest, most sophisticated problems in FinTech. We apply our in-depth understanding of Aladdin, our clients’ businesses, and the investment management process to provide world-class service to our growing, global client base. Our team members come from different majors and bring diverse skills and experiences to the table, but we share a serious passion for solving tough problems and keeping our clients happy. Our team is known for being industry experts with a reputation for getting the job done. As a team of 170+ strong globally, we… Deliver outstanding client service to users, every time Solve difficult problems by providing innovative solutions Collaborate with others because we know we can do more together Learn every day, question everything, and embrace change Foster a fun, innovative team environment Key Responsibilities Provide hands-on service to empower our clients to run their businesses on Aladdin: You will have direct, daily interactions with industry practitioners at respected investment institutions. You will solve problems that matter, making direct and measurable difference to our clients. In the process, you will hone technical, industry, and relationship skills. Use technology to solve problems: We can teach the skills you need to succeed, such as SQL and UNIX, for maneuvering relational databases and parsing product logs. You will apply these skills to help client and product teams make Aladdin better. Educate users, demonstrate service insights, and relay user feedback to improve the client experience and our product: We believe that the best client service is proactive, not reactive. We are students of our own data and engage with our clients and engineers to keep problems from arising, in addition to handling issues that are brought to our attention. Work on a global team, with a local presence: Our support model follows the sun – if a market is open somewhere in the world, so are we. You will get to work with teams across the world, while engaging with a vibrant local team. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As an Analyst/Associate within Markets team, you will be a self-starter and self-motivated individual as the business is based on devising bespoke mandates. This role requires you to demonstrate a range of skills from effective process oversight and controls, effective communication to analytical problem solving and teamwork Job Responsibilities Implementing and monitoring investment restrictions and guidelines; reporting breaches and maintaining records. Monitoring global exposure, liquidity, market, credit risk, validation of VaR models and other risk metrics. Oversight of daily tasks and processes and investigating escalation alerts from portfolio managers, middle office, compliance. Automating manual Excel-based monitoring / reporting processes to improve efficiencies across the Internal Control book of work Continuing the migration from legacy Excel tools into a modern UI Streamlining regulatory / client reporting Lead and participate in ad-hoc projects as needed by senior management Assist with the preparation of management information for committees and management meetings. Required Qualifications, Capabilities, And Skills Relevant experience in investment compliance or investment risk in asset management is crucial to the role Experience in coding (preference on Python), specifically strong knowledge of data parsing & storage, as well as statistical, analytical (or machine learning) libraries Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner Able to work independently and collaboratively to problem solve, and knowing when to escalate Clearly document the code of the tools created; Publish and maintain clear user documentation Strong quantitative and analytical skills and strong communication skills (both written and verbal) and ability to present findings to a non-technical audience including external stakeholders Preferred Qualifications, Capabilities, And Skills Strong knowledge of derivative markets (Equities, FX, Rates, or Commodities) Knowledge of UI languages such as react would be an advantage and Advanced user of MS Office suite Close attention to detail and ability to work to very high standards About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $65 billion in investment capital as of December 1, 2024, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world's capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. We are looking for resourceful and exceptional candidates for the Data Engineer role within our product development teams based out of Hyderabad. At DESIS, the Data Engineers develop Web Robots, or Web Spiders, that crawl through the web and retrieve data in the form of HTML, plain text, PDFs, Excel, and any other format that is either structured or unstructured. The job functions of the engineer also include scraping the website data into a structured format and building automated and custom reports on the downloaded data that are used as knowledge for business purposes. The team also works on automating end-to-end data pipelines. WHAT YOU'LL DO DAY-TO-DAY: As a member of the Data Engineering team, you will be responsible for various aspects of data extraction, such as understanding the data requirements of the business group, reverse-engineering the website, its technology, and the data retrieval process, re-engineering by developing web robots to automate the extraction of the data, and building monitoring systems to ensure the integrity and quality of the extracted data. You will also be responsible for managing the changes to the website's dynamics and layout to ensure clean downloads, building scraping and parsing systems to transform raw data into a structured form, and offering operations support to ensure high availability and zero data losses. Additionally, you will be involved in other tasks such as storing the extracted data in the recommended databases, building high-performing, scalable data extraction systems, and automating data pipelines. WHO WE’RE LOOKING FOR: Basic qualifications: 2-4 years of experience in website data extraction and scraping Good knowledge of relational databases, writing complex queries in SQL, and dealing with ETL operations on databases Proficiency in Python for performing operations on data Expertise in Python frameworks like Requests, UrlLib2, Selenium, Beautiful Soup, and Scrapy A good understanding of HTTP requests and responses, HTML, CSS, XML, JSON, and JavaScript Expertise with debugging tools in Chrome to reverse engineer website dynamics A good academic background and accomplishments A BCA/MCA/BS/MS degree with a good foundation and practical application of knowledge in data structures and algorithms Problem-solving and analytical skills Good debugging skills Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/SnrMemDEFeb25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

Position: Research Analyst (Subject Matter Expert – BFSI) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 5+ Years Company Description Scry AI is a leading innovator in AI-powered financial intelligence platforms tailored for Banking, Financial Services, and Insurance (BFSI) organizations. Our Collatio® Financial Spreading solution uses advanced AI to automate the digitization, normalization, and analysis of complex financial data from corporate filings, statements, and reports, supporting research, risk, and underwriting teams with faster, more accurate insights. We are seeking an experienced Research Analyst to join as a Subject Matter Expert (SME) and help drive the development of intelligent financial analysis tools and workflows for BFSI enterprises. Role Overview As a Research Analyst (SME) at Scry AI, you will use your expertise in financial research and corporate analysis to inform product development, support client engagements, and advance automation in financial statement analysis. You will work closely with product managers, data scientists, and client success teams to shape cutting-edge AI tools for research professionals and financial institutions. Key Responsibilities 1. Subject Matter Expertise & Product Strategy Provide domain expertise on financial analysis, research workflows, and reporting standards across BFSI sectors. Collaborate with product and engineering teams to improve AI models for extracting and interpreting data from financial statements, regulatory filings, and disclosures. Define financial metrics, ratios, and KPIs essential for research and credit evaluation. 2. Client & Market Engagement Act as a liaison between users and development teams to ensure product-market fit and solution adoption. Support solution engineering in product demos, RFPs, and pre-sales conversations with financial institutions. Conduct training sessions, pilot engagements, and feedback loops with clients. 3. Analytics Automation & Best Practices Contribute to developing automated workflows for financial spreading, trend analysis, benchmarking, and footnote parsing. Ensure output quality by validating mappings, templates, and research models generated by the platform. Recommend industry best practices for integrating AI-powered tools into traditional research workflows. 4. Thought Leadership & Competitive Research Track competing financial research platforms to identify gaps and opportunities. Co-develop content with marketing teams, including whitepapers, case studies, and knowledge sessions. Represent Scry AI at BFSI research forums and digital transformation events. Required Qualifications & Skills 5+ years of experience in financial research, credit analysis, risk research, or corporate financial analysis. In-depth understanding of financial statements, sector-specific KPIs, and fundamental analysis. Familiarity with research tools such as Capital IQ, FactSet, Bloomberg, or similar platforms. Hands-on experience with financial data modeling, spreading, or analysis automation. Strong communication and documentation skills for both business and technical audiences. Our Ideal Candidate Is a curious and analytical thinker passionate about improving financial research through AI. Has the ability to work across teams and translate real-world financial problems into product use cases. Is proactive, detail-oriented, and thrives in fast-paced environments. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre 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 V Team Life. What Youll 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 were looking for... Youre 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 Bachelors degree or one or more years of 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. If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll 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. Locations Hyderabad, India Chennai, India Show more Show less

Job Summary This position requires technical skills and an ability to resolve complex problems while working on time boxed, multiple concurrent development projects. Understand, suggest and choose from, possible technical solutions/tools to satisfy business needs choices that reflect a solution that balances design, use, and support. Use the best practices/techniques for keeping the design/solution under control without excessive work or rework. Peer technical review including design, code review and testing. Ability to lead a technical team, when required. Thorough understanding of OO concepts & its application in development. Expertise in Core Java Hands-on with spring 3.0 + (Spring CORE, Spring MVC , Spring ORM) Hands-on with JPA Hands-on with Spring AOP, Spring Security, AspectJ, Spring Logging with Log4J , and JMS) Hands-on with JSP, Servlet, JSON Hands-on with SQL Server Hands-on with REST Services Must have worked on one application server like Tomcat, JBOSS, Apache, Glassfish, and WebSphere Knowledge of XML parsing, and/or DOM traversal. Experience in Agile/SCRUM Software Development Create logical data structures, Coding, and Apply best practices/ design patterns of coding Product / application development, and knowledge of SDLC of multiple products/applications Responsible for and produces complete, quality deliverables Adherence and compliance to Project/organization processes and standards Educational Qualification Graduate, Java/J2EE training from a good institute. Skills Goal-oriented with a results-driven desire for success Experience 4.5 - 6 Years Relevant experience - 5 Years Show more Show less

Bold is seeking for newest 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 NLP, large language models, predictive modelling, 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 Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team. 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. Experience in using large language models. Fine-tuning knowledge is good to have. 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- Module Lead- 5.5 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

Description Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As a Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their packages reliably and efficiently. We are seeking an enthusiastic, customer centric professional with good analytical capabilities to drive impactful projects, implement advanced scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. Basic Qualifications 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 Preferred Qualifications 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. Company - ADCI - Karnataka - A66 Job ID: A2950397 Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Who we’re looking for: Primary Responsibilities: Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view. Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products. Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets. Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets. Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics. Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs. Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference. Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics. Ability and flexibility to coordinate and work with teams distributed across time zones, as needed Skill: Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem. Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing 5+ years of professional experience in data engineering or related fields Proficiency in Python, Java, or Scala for data processing and automation Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL) Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc. Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools Proven ability to mentor team members and lead technical initiatives across multiple workstreams Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards Demonstrated experience in data management & data governance capabilities Familiarity with data warehousing principles and best practices. Excellent problem solver - use of data and technology to solve problems or answer complex data related questions Excellent collaboration skills to work effectively in cross-functional teams. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Who we’re looking for: Primary Responsibilities: Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view. Participates in new software development and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products. Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets. Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements. Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure. Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs. Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference. Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks. Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. Skill: Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing 3+ years of professional experience in data engineering or related fields Proficiency in Python, Java, or Scala for data processing and automation Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL) Good working knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc. Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards Demonstrated experience in data management & data governance capabilities Familiarity with data warehousing principles and best practices. Excellent problem solver - use of data and technology to solve problems or answer complex data related questions Excellent collaboration skills to work effectively in cross-functional teams Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Show more Show less

Date Posted: 2025-04-10 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Position Role Type: Unspecified Overview: In this role, the Tech Pubs Engineer actively participate in a team environment, working with Authors and Illustrators in creating the various Tech Pubs documents with highest quality as per the ATA and S1000D requirements. Job Title: Associate Engineer Experience: 1-5 years Primary Responsibilities: Experience in Creation/revision of Component Maintenance Manuals (CMM), CMPs, Aircraft Maintenance Manuals (AMM), Aircraft illustrated Parts Catalog (AIPC) etc. for Aircraft Components and Systems. Strong working knowledge on Adobe Framemaker, Arbortext Epic Editor and Common Source Database (CSDB). Working knowledge on PLM tools like Teamcenter and Ennovia. Familiar with XML, SGML, and resolving the XML parsing errors. Strong knowledge of Technical Publications Aerospace Standards ATA100, ispec and 2200 S1000D. Experience in writing Assembly, Disassembly & Repair procedures. Working knowledge of illustration tools (Isodraw 7.3), 3DVIA and Catia will add advantage. Working Knowledge on Simplified English standard ASD-STE. Ability to understand and interpret engineering drawings and change drivers (Service Bulletin, Service Newsletter, ECN, TR, SIL, ATP etc.). Willingness to work in extremely tight schedules, while still not neglecting the value of attention to details and subsequently delivering high quality work. Must be ready for travel to abroad on need basis. Must be able to communicate effectively with internal /external customers. Basic Qualifications: Bachelor’s degree in mechanical / aerospace engineering. 1 -5 years of industry experience in Authoring of CMM, AMM and Data Modules. Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market. The high-quality products we design, test and produce in our Advanced Structures business help millions of passengers reach their destinations safely – every day! From nacelles, landing systems, flight controls and actuation to propellers– the products we manufacture work together behind the scenes to enhance the overall flight experience. We delight our customers with superior products and best-in-class service. Our global team is committed to continuous improvement – we work hard to make our solutions lighter-weight, stronger and more technically advanced, so that plane travel can be safer, more affordable, and more sustainable in the years to come. We are looking for the best and brightest to fly and land with us! WE ARE REDEFINING AEROSPACE. Some of our competitive benefits package includes: Transportation facility. Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of sick leave annually. Employee scholar program Work life balance Car lease program National Pension Scheme LTA Fuel & Maintenance /Driver wages And more! Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. Apply now and be part of the team that’s redefining aerospace, every day RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms Show more Show less

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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