18226 Spark Jobs - Page 36

About This Role Wells Fargo is seeking a Senior Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow In This Role, You Will Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 4+ years of Spark development experience 4+ years of Scala/Java development for Spark focusing on functional programming paradigm Spark SQL, Streaming and dataframe/dataset API experience Spark query tuning and performance optimization SQL &NOSQL database integration with Spark (MS SQL server and MongoDB) Deep understanding of distributed systems (CAP theorem, partition and bucketing, replication memory layouts, consistency) Deep understanding of Hadoop / Cloud platforms, HDFS, ETL/ELT process and Unix shell scripting Good to have Java, .net experience. Good to have any of the cloud data engineering certifications. Job Expectations: Experience in working Agile development methodology, GIT and JIRA Experience/working knowledge of technologies like Kafka, Cassandra, Oracle RDBMS and JSON structures Python development with/without Spark Experience of Banking/Financial domain Posting End Date: 5 Aug 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-475748

We're looking for a Senior Software Engineer This role is Hybrid, Mumbai Office Senior Software Engineer | Hybrid | Mumbai This is an exciting opportunity to join our global organization as a Senior Software Engineer working on our Performance Suite. Success in this role will provide a host of additional opportunities for technical and professional growth. The role will be based in our Mumbai office. In this role you will... Work in a global team, delivering SaaS software on AWS Develop across the entire technology stack, including C#, .NET, React, Typescript, CI/CD tooling, and infrastructure Be responsible for your own test coverage, including unit, integration, and automated functional tests Work with other engineers and quality assurance staff to ensure our requirements for quality, security, scalability, and usability are met Own your code all the way to production, including continuous deployment, monitoring, and troubleshooting Collaborate with the product management team to plan, design, and scope new features, and identify opportunities for enhancements Work independently with minimal supervision, and provide leadership and mentorship to other software engineers Consideration for privacy and security obligations You’ve Got What It Takes If You Have. Bachelor’s degree in computer science or equivalent experience 3+ years of web-based application development experience Strong problem solving skills, a keen sense of ownership, and a detail-oriented mindset Ability to effectively manage and correctly prioritize multiple streams of work Ability to clearly communicate technical issues and project details Experience delivering software in a Lean or Agile environment Extra dose of awesome if you have... Up-to-date experience with C# and TypeScript Hands-on experience with AWS and Docker Experience with continuous deployment Experience in a startup environment or on a global software team We offer... A supportive team environment, and a culture of trust and ownership Our Culture Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today. Who We Are Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today. Check us out on LinkedIn , Comparably , Glassdoor , and Facebook !

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : Python (Programming Language), Google BigQuery, PySpark Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Good To Have Skills: Experience with Python (Programming Language), Google BigQuery, PySpark. - Strong understanding of distributed computing principles. - Experience with data processing frameworks and ETL processes. - Familiarity with cloud platforms and services. Additional Information: - The candidate should have minimum 5 years of experience in Apache Spark. - This position is based at our Chennai office. - A 15 years full time education is required.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : Python (Programming Language), Google BigQuery, PySpark Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to gather requirements, developing application features, and ensuring that the applications are aligned with business objectives. You will also engage in problem-solving activities, providing innovative solutions to enhance application performance and user experience, while maintaining a focus on quality and efficiency throughout the development process. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Good To Have Skills: Experience with Python (Programming Language), Google BigQuery, PySpark. - Strong understanding of data processing frameworks and distributed computing. - Experience with application development methodologies and best practices. - Familiarity with cloud platforms and services related to application deployment. Additional Information: - The candidate should have minimum 5 years of experience in Apache Spark. - This position is based in Chennai. - A 15 years full time education is required.

About Us: We're not just building a brand. We're building a movement. We use social to tell stories, spark conversations, and build an unapologetically authentic community. If you’re fluent in Reels, memes, trends, analytics, and vibes — keep reading. What You’ll Do: Make and execute content calendars across Instagram, Facebook, LinkedIn, X (Twitter), and emerging platforms like Threads. Turn brand campaigns and messaging into scroll-stopping visuals, captions, and stories Stay chronically online (in a good way) — spot trends before they peak and plug them in authentically Collaborate with UGC creators, influencers, and other stakeholders to create and schedule content Write copy that’s on-brand, human, and hits hard — from snappy captions to longer-form storytelling Engage daily: reply to DMs, comments, and community convos — and yes, that includes meme wars Track performance using analytics tools; optimize content strategy based on data insights A/B test content formats, posting times, hashtags, and hooks Coordinate giveaways, collabs, and campaign launches Report on key KPIs: engagement, reach, follower growth, conversions, and platform-specific wins

Are you a passionate Video Editor with a creative spark? Join our dynamic team! We are looking for a full-time Video Editor to be a part of our creative team in Noida (Sector 100). If you have at least 2 year of professional editing experience and a love for visual storytelling, this on-site position might be the perfect fit for you! Key Responsibilities: 🎬 Editing high-quality videos for various platforms (Reels, YouTube, documentaries, etc.) 🎬 Collaborating with the creative team to bring innovative ideas to life 🎬 Ensuring all videos align with brand guidelines and messaging Requirements: 🔹 Proficiency in Adobe Premiere Pro, Adobe After Effects, and Adobe Illustrator (or similar software) 🔹 Basic understanding of color grading, sound design, and transitions 🔹 Ability to work independently and meet deadlines 🔹 Previous experience editing reels, YouTube videos, or documentaries is a plus! If you're a detail-oriented and creative individual who's ready to make an impact, we would love to hear from you! 🔗 Apply now and take the next step in your creative journey with us! #Hiring #VideoEditor #CreativeJobs #AdobePremierePro #NoidaJobs #JobAlert #CreativeTeam #VisualStorytelling #JoinOurTeam

Training-related experience Must have Teaching experience: conducting training sessions in classroom and dynamically responding to different capabilities of learners; experience in analyzing the feedback from sessions and identifying action areas for self-improvement Developing teaching material: Experience in developing teaching material, including exercises and assignments Good presentation skills, excellent oral / written communication skills Nice to have Teaching experience: Experience in delivering session over virtual classrooms Instructional Design: Developing engaging content Designing Assessments: Experience in designing assessments to evaluate the effectiveness of training and gauging the proficiency of the learner Participated in activities of the software development lifecycle like development, testing, configuration management Job Responsibilities Develop teaching materials including exercises & assignments Conduct classroom training / virtual training Design assessments Enhance course material & course delivery based on feedback to improve training effectiveness Location: Mysore, Mangalore, Bangalore, Chennai, Pune, Hyderabad, Chandigarh Description of the Profile We are looking for trainers with 2 to 4 years of teaching experience and technology know-how in one or more of the following areas: Java – Java programming, Spring, Angular / React, Bootstrap Microsoft – C# programming, SQL Server, ADO.NET, ASP.NET, MVC design pattern, Azure, MS Power platforms, MS Dynamics 365 CRM, MS Dynamics 365 ERP, SharePoint Testing – Selenium, Microfocus - UFT, Microfocus-ALM tools, SOA testing, SOAPUI, Rest assured, Appium Big Data – Python programming, Hadoop, Spark, Scala, Mongo DB, NoSQL SAP – SAP ABAP programming / SAP MM / SAP SD /SAP BI / SAP S4 HANA Oracle – Oracle E-Business Suite (EBS) / PeopleSoft / Siebel CRM / Oracle Cloud / OBIEE / Fusion Middleware API and integration – API, Microservices, TIBCO, APIGee, Mule Digital Commerce – SalesForce, Adobe Experience Manager Digital Process Automation - PEGA, Appian, Camunda, Unqork, UIPath MEAN / MERN stacks Business Intelligence – SQL Server, ETL using SQL Server, Analysis using SQL Server, Enterprise reporting using SQL, Visualization Data Science – Python for data science, Machine learning, Exploratory data analysis, Statistics & Probability Cloud & Infrastructure Management – Network administration / Database administration / Windows administration / Linux administration / Middleware administration / End User Computing / ServiceNow Cloud platforms like AWS / GCP/ Azure / Oracle Cloud, Virtualization Cybersecurity - Infra Security / Identity & Access Management / Application Security / Governance & Risk Compliance / Network Security Mainframe – COBOL, DB2, CICS, JCL Open source – Python, PHP, Unix / Linux, MySQL, Apache, HTML5, CSS3, JavaScript DBMS – Oracle / SQL Server / MySQL / DB2 / NoSQL Design patterns, Agile, DevOps

We're looking for a Senior Software Engineer This role is Hybrid, Pune Office Senior Software Engineer | Hybrid | Pune Role Overview We are seeking a Senior Software Engineer with expertise in modern .NET and React development, strong problem-solving skills, and a passion for building scalable, high-quality applications. In addition to core engineering skills, this role requires familiarity with AI-assisted development tools, awareness of Generative AI capabilities, and experience with AWS cloud services to accelerate innovation and productivity. Key Responsibilities Design, develop, maintain, and enhance .NET applications and microservices for both legacy modernization and cloud-native platforms. Leverage AI-powered development tools to accelerate coding, improve code quality, and automate repetitive development tasks. Explore and integrate Generative AI capabilities (e.g., embeddings, RAG, prompt engineering) into applications where relevant. Analyze product and technical user stories, prepare clear technical specifications, and effectively communicate with both technical and business stakeholders. Write unit, integration, and system tests to ensure robust and maintainable code that meets business and client requirements. Full-stack development using the latest .NET framework and React; build modern, responsive, and accessible UI/UX experiences. Participate in agile ceremonies (sprint planning, design reviews, retrospectives) and contribute to technical decision-making. Collaborate with cross-functional teams including engineers, product managers, and QA to deliver features end-to-end. Participate in key architectural decisions, applying cloud-native best practices. Mentor and guide junior engineers, promoting best practices across design, development, testing, and DevSecOps. Troubleshoot complex production issues, conduct detailed root cause analysis (RCA), and ensure preventive measures are implemented. Work with AWS cloud services (e.g., Lambda, S3, API Gateway, CloudFront, DynamoDB, RDS, ECS/EKS) for application deployment and scalability. Continuously improve team productivity by introducing AI-driven automation, performance optimization techniques, and cloud cost efficiencies. You’ve Got What It Takes If You Have… Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 5+ years of software development experience using C#, .NET Core, RESTful APIs, JavaScript/TypeScript, and React. Experience with AI-assisted development (e.g., GitHub Copilot, ChatGPT) and curiosity about Generative AI applications in software engineering. Strong in OOP, SOLID principles, and design patterns (GOF). Experience with ORM frameworks like Entity Framework, NHibernate. Proficiency in modern JavaScript libraries/frameworks (React preferred; Angular exposure is a plus). UI development experience using Tailwind CSS, Bootstrap, Material UI, or similar. Good understanding of AWS cloud services, serverless architectures, and CI/CD pipelines. Experience with relational and non-relational databases (SQL Server, PostgreSQL, MongoDB, DynamoDB). Proficiency with testing frameworks (MSTest, NUnit, xUnit, Jest, Cypress). Exposure to Node.js / Next.js for backend or SSR development is a plus. Experience delivering software in Agile/Scrum environments. Awareness of secure coding practices and ability to identify and mitigate vulnerabilities. Strong debugging, troubleshooting, and performance tuning skills. Excellent communication skills and a collaborative mindset. Our Culture Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today. Who We Are Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today. Check us out on LinkedIn , Comparably , Glassdoor , and Facebook !

Location: Hyderabad India Type of Position: Full Time Introduction: Pragmatic Play is one of the world’s leading suppliers of online slots, casinos, live dealer and bingo games with new and exciting products and verticals added on a continuous basis. Pragmatic Play currently employs over 2,000 people in over 12 locations and has seen consistent, triple-digit growth year on year.Our award-winning slots portfolio contains unique in-house content consisting of over 200 proven HTML5 games, available in many currencies, 31 languages and all major certified markets. Millions of players play our games every day across hundreds of operators such as Flutter, Bet365, Entain, Kindred, Gamesys, LeoVegas, Betsson and many others. We are a team of passionate individuals with the mission to succeed and create industry-leading games that players love. The Role: This role will be required to build ETL data pipelines for Data warehousing. The candidate needs to have Hands-on experience with SQL and any of standard ETL tools like Talend, Informatica, Pentaho, etc. One is expected to have good data modelling skills to transform data as per business needs. And should be aware of scripting languages like Python, Shell Scripting or Java and exposure to big data technologies like Spark/Scala/PySpark will be added advantage. The successful candidate will have experience in building and managing complex Datamart’s and develop database solutions to ensure company information is stored effectively and securely. Also, the candidate should be a self-starter, with strong attention to detail, vocally self-critical, with an ability to work in a fast-paced environment. Key Responsibilities: Develop database solutions to store and retrieve company information Design conceptual and logical data models and flowcharts Improve system performance by conducting tests, troubleshooting, and integrating new elements Optimize new and current database systems Use scripting languages to automate key processes governing data movement, cleansing, and processing activities Key skills: Excellent analytical skills & Quantitative skills: Proven analytical and quantitative skills, and tools to perform analysis. Ability to use hard data and metrics to back up assumptions and develop project business cases Attention to detail: While understanding the big picture, you are an organized and detail-oriented person. Nothing gets missed on your watch and you can lead projects to completion. Working to the highest standards, even under pressure: You’re ambitious, hold yourself to high standards and thrive in a dynamic, high-energy environment. Passion for i-gaming: You love games and want to be part of a winning team. Requirements: 2+ years of strong experience with data transformation & ETL on large data sets 2+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data) 2+ years of complex SQL or NoSQL experience Experience in advanced Data Warehouse concepts Expertise in SQL and advance SQL. Experience in industry ETL tools (i.e., Informatica, Talend) Experience with Reporting Technologies (i.e., Tableau, PowerBI) Strong verbal & written communication skills Must be self-managed, proactive and customer focused Experience in programming languages (Python, Java, or Bash scripting) Good to have Experience with Big Data technologies (i.e., Hadoop, Spark, Redshift, Vertica, Hive, etc.) Experience as an enterprise technical or engineer consultant Degree in Computer Science, Information Systems, Data Science, or related field

ETL QA - Technical Lead Experience: 7 to 11 Years Job Locations: Hyderabad (1 position) | Gurgaon (1 position) Job Summary: We are looking for a highly skilled and detail-oriented ETL QA - Technical Lead with strong experience in Big Data Testing , Hadoop ecosystem , and SQL validation . The ideal candidate should have hands-on experience in test planning, execution, and automation in a data warehouse/ETL environment. You'll work closely with cross-functional teams in an Agile environment to ensure the quality and integrity of large-scale data solutions. Key Responsibilities: Lead end-to-end testing efforts for data/ETL pipelines across big data platforms Design and implement test strategies for validating large datasets, transformations, and integrations Perform hands-on testing of Hadoop-based data platforms (HDFS, Hive, Spark, etc.) Develop complex SQL queries for data validation and business rule testing Collaborate with developers, product owners, and business analysts in Agile ceremonies Own test planning, test case design, defect tracking, and reporting for assigned modules Identify areas of automation and build reusable QA assets Drive QA best practices and mentor junior QA team members Required Skills: 7-11 years of experience in Software Testing, with at least 3+ years in Big Data/Hadoop testing Strong hands-on experience in testing Hadoop components like HDFS, Hive, Spark, Sqoop, etc. Proficient in SQL (complex joins, aggregations, data validation) Experience in ETL/Data Warehouse testing Familiarity with data ingestion, transformation, and validation techniques

About the Role: We are seeking an experienced AI Engineer who brings together the best of data analytics, cloud computing, and scalable AI application development . You will be responsible for designing, developing, and deploying AI solutions that leverage real-time data pipelines, APIs, and containerized microservices. Key Responsibilities: Develop, deploy, and maintain AI/ML models and pipelines in production environments. Build and manage FastAPI -based APIs to serve AI models and analytics results. Design scalable and secure cloud-based architectures for AI services (AWS/Azure/GCP). Containerize applications using Docker and orchestrate with Kubernetes . Collaborate with data scientists, backend engineers, and DevOps teams to integrate models into applications. Optimize data ingestion, preprocessing, and model inference pipelines for performance and reliability. Monitor and improve model accuracy and system performance post-deployment. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Engineering, or related field. 3+ years of experience in AI/ML engineering or backend data systems. Proficient in Python with experience in FastAPI , NumPy, pandas, and ML libraries (scikit-learn, PyTorch, or TensorFlow). Strong understanding of cloud services (AWS/GCP/Azure) and deployment best practices. Hands-on experience with Docker and Kubernetes for scalable service orchestration. Solid background in data analytics , including ETL, big data processing, and model interpretation. Familiarity with CI/CD tools and MLOps frameworks is a plus. Nice to Have: Experience with real-time data pipelines (Kafka, Spark Streaming, etc.) Knowledge of database systems (SQL and NoSQL) Exposure to monitoring tools like Prometheus, Grafana, or ELK stack Prior experience working with edge AI or distributed ML environments Job Type: Full-time Pay: ₹15,773.05 - ₹52,938.83 per month Work Location: In person

If you have the creative spark in you and are passionate about advertising, Mirror is the right place to flourish your skills. Looking for candidates that have the zest to prove their skills in designing and motion graphics and are ready to go beyond their boundaries of imagination and creativity. The candidate will be working multiple client projects which will include, social media work, digital campaigns and also concept designing work. Kindly share your updated resume and work portfolio on mirroradvertising1@gmail.com Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Ability to commute/relocate: Borivali, Mumbai Suburban - 400092, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: Motion graphics: 1 year (Required) Work Location: In person Application Deadline: 11/08/2025

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 10+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 10+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating 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.

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. Key job responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 7+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating 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.

Job description We are looking for skilled Data Engineering Trainees to work on some complex big data projects. This is an internship program which will eventually convert into an employment if the performance of the candidate is found excellent. Job Terms This is work from office internship. Job location is Pune, Maharashtra Internship duration will be 6 months A bond of 30 months including internship if the internship is converted to job Must have taken a formal training on Python & Spark Work Experience No experience is expected Candidates who graduated in 2023 or earlier will be preferred. Job Responsibilities Build scalable streaming data pipelines Write complex SQL queries to transform the source data Write an enterprise grade code which is stable and does not break Data pipeline deployment by working closely with the DevOps team Build automated job scheduling and monitoring scripts Skills Exceptional Programming skills in Python, Spark, Kafka, Pyspark and C++ Very good knowledge of SQL and complex query writing Very good knowledge of Pandas and Numpy Must be familiar with Exploratory Data analysis and data pre-processing Knowledge of Databricks will be an advantage Education B.Tech BE Who are pass out in 2023 and before 2023 Job Types: Full-time, Permanent Pay: ₹5,000.00 per month Schedule: Day shif Job Types: Full-time, Fresher, Internship Contract length: 4 months Pay: ₹5,000.00 per month Work Location: In person

Company Description About Freshworks Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Function: Engineering AI Reports To: VP - Engineering AI Team Size: 20 to 40 (Data Scientists, ML Engineers, Software Engineers) We are looking for a Senior Director – Engineering AI to lead the charter for machine learning, and GenAI initiatives across Freshworks’ platform. This leader will be responsible for defining the AI vision, leading high-impact cross-functional programs, embedding intelligence into our product suite, and scaling a world-class data science function globally. You’ll operate at the intersection of business, product, and technology — steering the strategic use of AI to solve customer problems, improve operational efficiency, and drive revenue growth. Key Responsibilities Strategy & Vision Define and own the AI roadmap aligned with company objectives. Drive the long-term strategy for AI/ML initiatives, and data monetization opportunities. Evangelize a culture of experimentation, evidence-based decision-making, and responsible AI. Team Leadership Hire, mentor, and develop a world-class team of data scientists, machine learning and engineers. Foster a collaborative, inclusive, and high-impact environment with a strong learning and delivery mindset. Cross-functional Leadership Partner closely with Engineering and Product teams to embed ML models into products and services. Collaborate with stakeholders across business functions to identify and prioritize use cases for AI. Technical Execution Oversee development and deployment of scalable ML models, statistical models, NLP solutions, and recommendation engines. Ensure rigorous experimentation and model validation using state-of-the-art techniques. Champion data governance, quality, and security practices. Metrics & Impact Define KPIs and success metrics for data science initiatives. Deliver measurable impact on revenue growth, operational efficiency, and customer experience. Qualifications Professional Experience 12–18 years of experience in AI, with at least 5 years in senior leadership roles managing large data science teams. Proven experience delivering ML-based products and solutions in a SaaS or digital platform environment. Demonstrated ability to influence product roadmaps and drive AI strategy in large-scale environments. Technical Expertise Deep understanding of applied machine learning, NLP, deep learning, causal inference, optimization, and GenAI (LLMs, embeddings, retrieval pipelines). Strong hands-on foundation in Python, SQL, Spark, and ML frameworks such as PyTorch, TensorFlow, scikit-learn. Familiarity with modern cloud data stacks (e.g., Snowflake, Databricks, AWS Sagemaker, Vertex AI, LangChain/RAG pipelines). Drive operational efficiency and engineering productivity across AI and data platform teams through streamlined processes, tooling, and automation. Establish and enforce standardized practices for data engineering, model development, and deployment across teams to ensure consistency, quality, and reuse. Champion platform-first thinking—building reusable components, shared services, and self-service capabilities to accelerate experimentation and delivery. Experience with production-grade ML deployment, experimentation, and performance tracking. Leadership & Influence Strong executive presence with the ability to influence senior stakeholders across Product, Engineering, Sales, and Marketing. Effective communication of complex technical concepts to diverse audiences including C-suite, product managers, and non-technical partners. Lead cross-functional initiatives to optimize end-to-end ML workflows, from data ingestion to model monitoring, reducing cycle times and increasing model velocity. Partner with engineering, product, and infrastructure teams to align roadmaps and eliminate friction in building, testing, and deploying AI solutions at scale. Passionate about building a data-driven culture and driving talent development across the organization. Nice to Have Experience in customer experience, CRM, service management, or sales tech domains. Hands-on exposure to LLM fine-tuning, prompt engineering, and GenAI application development. Hands-on experience developing and scaling ML pipelines and models using Databricks and related tools (e.g., MLflow,). etc Participation in AI ethics or responsible AI governance efforts. Open-source contributions or published research in relevant domains. Why Join Freshworks Shape the AI-first future of one of the fastest-growing SaaS companies globally. Build and ship data-driven solutions at scale, impacting 60,000+ businesses. Work with a global leadership team that values innovation, autonomy, and customer-centricity. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 10+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 10+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating 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.

About Invicta Learning: Invicta Learning is a premier upskilling partner focused on delivering industry-relevant, hands-on training programs that prepare learners for the evolving tech landscape. We are conducting a comprehensive Data Engineering with AWS program aimed at building core competencies in cloud-based data engineering tools and platforms. Program Overview: This 40-day intensive training program focuses on building foundational to advanced skills in data engineering using AWS. The curriculum includes SQL, Data Warehousing, ETL/ELT, Python, Spark, AWS Glue, Redshift, Athena, Databricks, Airflow, and more. The program is enriched with power skills sessions and assessments to ensure learner readiness for real-world deployment. Key Responsibilities: Deliver end-to-end training on the Data Engineering with AWS curriculum as per Invicta’s standardized content. Facilitate hands-on sessions and practical labs on tools such as SQL, Python, Spark, AWS Glue, Athena, Redshift, Databricks, Airflow , and related services. Guide learners through data modeling, ETL pipelines, real-time analytics, and data lake implementations using AWS. Provide mentorship, doubt-clearing sessions, and code reviews to support learners’ growth. Conduct module-level and sprint-level assessments , ensuring learner performance tracking. Work closely with program coordinators to maintain daily attendance, learner engagement, and feedback loops. Support in learner evaluations through quizzes, coding challenges, and mock interviews. Keep learners updated on industry best practices, tools, and career tips related to data engineering. Encourage a collaborative, interactive, and inclusive learning environment. Curriculum Highlights: You will be expected to train learners on topics including but not limited to: SQL (Oracle & ANSI SQL) : DDL, DML, Joins, Views, Subqueries, Transactions Data Warehousing & BI Concepts : OLAP, OLTP, Star/Snowflake Schema, Data Vault ETL/ELT Processes : Architecture, Tools (AWS Glue, DMS), Metadata Handling Programming in Python : Data structures, Functions, File I/O, OOPs, Regex AWS Fundamentals : IAM, EC2, S3, RDS, VPC, Monitoring Spark & PySpark : RDDs, DataFrames, DAGs, SparkSQL, Streaming AWS Data Services : Glue, Athena, Redshift, Kinesis, Data Pipeline Databricks : Workspace, Jobs, Clusters, Data Lake Integration Airflow & Step Functions : Workflow orchestration and automation Candidate Requirements: Minimum 5 years of experience in data engineering, cloud technologies, or related training delivery. Proven expertise in AWS Data Services , Spark, and Python programming. Strong knowledge of Data Warehousing principles, ETL/ELT design , and modern data architecture. Hands-on experience with Databricks, Airflow, Glue, Athena, Redshift , and other AWS data tools. Excellent presentation, communication, and facilitation skills. Prior experience in classroom or virtual training delivery is preferred. Certifications such as AWS Certified Data Analytics, AWS Solutions Architect , or equivalent are a plus. Preferred Skills: Exposure to real-time data processing tools like Kinesis, Kafka, or Spark Streaming. Understanding of data security, compliance, and monitoring in AWS. Familiarity with deployment pipelines and containerized environments is a plus. Perks: Work with a dynamic and passionate team of trainers. Opportunity to upskill further with Invicta's partner ecosystem. Competitive compensation and performance incentives. Job Type: Contractual / Temporary Contract length: 40 days Pay: ₹700.00 - ₹800.00 per hour Schedule: Day shift Work Location: In person

DESCRIPTION About Amazon.com: Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business research Analyst will be responsible for data and Machine learning part of continuous improvement projects across compatibility and basket building space. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. In compatibility program, RA perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. RA also continuously improve the ML solution for higher solution accuracy, efficiency and scalability. RA should writes clear and detailed functional specifications based on business requirements as well as writes and reviews business cases. Key job responsibilities Scoping, driving and delivering complex projects across multiple teams. Performs root cause analysis by understand the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Designing and implementing core NLP tasks such as named entity recognition, classification and part-of-speech tagging. Dive deep to drive product pilots, build and analyze large data sets, and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of Python), tools for database (e.g. SQL, spark) and ML platform (tensorflow, pytorch) Conducting regular code reviews and implementing quality assurance processes to maintain high standards of code quality and performance optimization. Providing technical guidance and mentorship to junior team members and collaborating with external partners to integrate cutting-edge technologies. Find the scalable solution for business problem by executing pilots and build Deterministic and ML model (plug and play on readymade ML models and python skills). Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes within their part of project. Coordinates design effort between internal team and external team to develop optimal solutions for their part of project for Amazon’s network. Ability to convince and interact with stakeholders at all level either to gather data and information or to execute and implement according to the plan. About the team Amazon.com operates in a virtual, global eCommerce environment without boundaries, and operates a diverse set of businesses in 14 countries, including Retail, third party marketplaces, eCommerce platforms, web services for developers. Retail Business Service (RBS) organization is a core part of leading customer experience and selling partners experience optimization. This team is part of RBS Customer Experience business unit. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The compatibility program handled by this team has a direct impact on customer buying decisions and online user experience. Compatibility program aims to address Customer purchase questions if two products works together, as well as reduce return due to incompatibility. BASIC QUALIFICATIONS Basic Qualifications Ability to analyse and then articulate business issues to a wide range of audiences using strong data, written and verbal communication skills Good mastery of BERT and other NLP frameworks such as GPT-2, XLNet, and Transformer models Experience in NLP techniques such as tokenization, parsing, lexing, named entity recognition, sentiment analysis and spellchecking Strong problem-solving skills, creativity and ability to overcome challenges SQL/ETL, Automation Tools Relevant bachelor’s degree or higher 3+ years combined of relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles Be self motivated and autonomous with an ability to prioritize well, and remain focused when working within a team located in across several countries and time zones PREFERRED QUALIFICATIONS Preferred Qualifications 3+ years combined of relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles Understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Experience with computer vision algorithms and libraries such as OpenCV, TensorFlow, Caffe or PyTorch. Technical expertise, experience in Data science and ML 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.

DESCRIPTION The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: Using live package and truck signals to adjust truck capacities in real-time HOTW models for Last Mile Channel Allocation Using LLMs to automate analytical processes and insight generation Ops research to optimize middle mile truck routes Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings Deep Learning models to synthesize attributes of addresses Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS 5+ years of data scientist experience Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with statistical models e.g. multinomial logistic regression Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Experience working with data engineers and business intelligence engineers collaboratively Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS Experience as a leader and mentor on a data science team Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Expertise in Reinforcement Learning and Gen AI is preferred 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.

DESCRIPTION Amazon is a place where data drives most of our decision-making. Analytics, Operations & Programs (AOP) team is looking for a dynamic data engineer who can be innovative, strong problem solver and can lead the implementation of the analytical data infrastructure that will guide the decision making. As a Data Engineer, you think like an entrepreneur, constantly innovating and driving positive change, but more importantly, you consistently deliver mind-boggling results. You're a leader, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution. This position offers exceptional opportunities to grow their technical and non-technical skills. You have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects. As a Data Engineer, you are responsible for analyzing large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. This is done by leveraging data from various platforms such as Jira, Portal, Salesforce. You will work with a team of Product Managers, Software Engineers and Business Intelligence Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, implement new data pipelines that feed into or from critical data systems at Amazon. You must be able to prioritize and work well in an environment with competing demands. Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise. Key job responsibilities Design, implement and support an analytical data infrastructure Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications. Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing, reporting and analytics platforms. Contribute to the development of the BI tools, skills, culture and impact. Write advanced SQL queries and Python code to develop solutions A day in the life This role requires you to live at the intersection of data, software, and analytics. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue. You will drive the development process from design to release. Managing data ingestion from heterogeneous data sources, with automated data quality checks. Creating scalable data models for effective data processing, storage, retrieval, and archiving. Using scripting for automation and tool development, which is scalable, reusable, and maintainable. Providing infrastructure for self serve analytics and science use cases. Using industry best practices in building CI/CD pipelines About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams BASIC QUALIFICATIONS 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. 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.

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. Key job responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 7+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating 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.

DESCRIPTION About Amazon.com: Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities As a Research Analyst, you'll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML/LLM models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML/LLM models. Key job responsibilities Collaborate and propose best in class ML/LLM solutions for business requirements Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments Familiar with ML/LLM models and able to work independently. BASIC QUALIFICATIONS Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline 2+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics 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.

Job description Job Title- Quizmaster & Engagement Associate Workplace type- Hybrid, Bangalore Fulltime Who are we looking for? For someone who is constantly curious, has a growth and learning mindset and can think their feet on. Your contribution? You would be expected to perform the following functions (Will evolve as the organization grows): 1.Create curiosity-inducing & engaging content in multiple online & offline formats on financial literacy & general topics for children & adults. 2.Conducting quizzes as a Quizmaster for varied audiences on different topics as per client requirements 3.Liaising with corporate clients & partners on requirements & smooth execution of quiz programs. 4.Engage with employees of different organizations online and offline as part of their culture circles. 5.Create an engaging environment in your online/offline session that requires you to spark interest, discuss, advise, guide, and support participants. 5.Responsible for end-to-end coordination and logistics for quiz events, both online & offline. 6.Fulfil all QShala feedback, assessment, and reporting requirements. 7.Coordinate, review, and take responsibility for content/curriculum created by yourself and other team members. 8.Create innovative new formats of content for audience engagement. Review and edit content created by team members 9.Train facilitators on the content created for delivery. Who is this role ideal for? 1.You are excited by the unique opportunity to create a curiosity experience unlike any other. 2.While we are not hard fussed about your educational qualifications, we would prefer that you have some quizzing experience, either as a quizzer or conducting quizzes. 3.You have conducted quizzes before for children/adults through online or offline modes You are comfortable working with and learning from children & adults. 4.You have worked at a start-up earlier and regularly dealt with ambiguity and firefighting. 5.Strong ownership, process orientation and attention to detail. Self-starter and ability to work with minimum supervision. 6.Team player, flexible and open to changing priorities. Job Types: Full-time, Permanent Pay: ₹45,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Monday to Friday Ability to commute/relocate: Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Have you hosted quiz and created quizzing content? Location: Bengaluru, Karnataka (Preferred) Work Location: In person

Duration: 8–10 weeks Location: Remote Start Date: AUG 2025 Stipend: Performance-based (fixed pay released on meeting goals) About the Role This is not about cold calls or quotas. This is about helping real people - creators, coaches, mentors - take the next step in building their personal brands. As our Client Strategy & Communication Intern , you’ll work closely with our leadership team to identify high-potential individuals and introduce them to digital solutions that match their vision. You’ll learn how to approach people meaningfully, how to spark conversations that matter, and how to structure outreach that earns attention and trust. If you’re someone who enjoys building relationships, learning how digital businesses grow, and working in a goal-driven but supportive environment — this internship will open the door to real career skills. What You'll Work On Discovering and researching influencers, coaches, and creators who need a strong digital presence Reaching out through well-crafted DMs, LinkedIn, and email introductions Supporting relationship-building with follow-ups, insights, and structured responses Working with the core team to refine outreach strategies based on what’s working Keeping track of the conversations, responses, and successful connections What This Internship Really Offers Confidence in communication – learn how to connect with people authentically Strategic thinking – discover how digital services are positioned and pitched Real-world networking – build your own network while representing brands Result-based rewards – earn pay based on actual value you help create A career foundation – master one of the most in-demand soft skills across industries What We’re Looking For You enjoy conversations, communication, and learning how to tell a story You’re organized and take ownership of your work You believe in personal brands and the digital creator economy You want to work in a team that values growth, results, and trust Job Type: Internship Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Monday to Friday Supplemental Pay: Commission pay Performance bonus Application Deadline: 10/07/2025 Expected Start Date: 07/10/2025