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About Company- At Shard Center for Innovation, we thrive to create the future society through transformative education in upcoming technologies, human skills, and management practices world-wide. We excel in unparalleled programs in cutting-edge disciplines like- Artificial Intelligence, Drone, Machine Learning, Robotics, Virtual Reality (VR) and Internet of Things (IoT) etc Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML,Robotics, Drone etc. Planning daily/weekly lessons. Adopting an objective criterion for measuring learner progress. Attending to age – appropriate /individual student needs and refinement of knowledge delivery accordingly. Demonstrating various hands-on projects for the students. To carry out Any other activities related to the above as and when decided by the management. Teach robotics concepts and programming (Python, Scratch, C++). Conduct hands-on, project-based activities and competitions. Guide students in developing innovative robotics projects. Maintain robotics kits and ensure a safe, organized learning space. Collaborate and stay updated on STEM advancements. EXPERIENCE: 1-3 years Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above. Practical Knowledge of these subjects and experience in imparting lessons in these subjects. Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. ee Job Type: Full-time Pay: ₹15,000.00 - ₹32,000.00 per month Application Question(s): Do you have experience in the fields of ROBOTICS, IOT and DRONE? Language: English (Required) Work Location: In person

At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished. As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal partners to define and implement solutions that optimize Apple’s internal business processes. Description As an Engineering Manager, you’ll lead a team of skilled engineers and make decisions impacting multi-functional partners. You’ll contribute to code reviews and risk assessments, and represent the team and technology in meetings with IS&T and business units. You’ll clarify requirements and set objectives for multi-functional software projects. You’ll also plan a multi-year roadmap, oversee software development, and develop and grow engineers within the team. KEY RESPONSIBILITIES: Design, develop, and optimise highly scalable, distributed systems using cloud-native technologies and micro-services architecture to create robust and resilient solutions. We are seeking a project leader with hands-on experience in Agile development methodologies to ensure timely delivery of projects. Lead proof-of-concept projects and pilot implementations to showcase innovative ideas. Strive for perfection by continuously enhancing system reliability, performance, and security. We’re looking for someone who can contribute to design, code reviews, and risk assessments. They’ll also assist in debugging and resolving technical issues. Additionally, they’ll design and architect large-scale projects, focussing on performance, scalability, robustness, and resiliency. Collaborate with product owners, developers, QA, support teams, and end-users for successful project outcomes. Lead, mentor, and guide an engineering team, fostering innovation and excellence. Possess strong problem-solving and analytical skills. They can lead, hire, develop, and build an engineering team, providing technical direction and growth opportunities. Master intricate technical challenges, foster innovation, and keep abreast of the latest advancements in new technologies. Minimum Qualifications 12+ years of experience building and scaling enterprise-grade systems that meet the demands of high-volume environments. 3+ years of experience in building, developing, and leading engineering teams. Proficient in programming languages such as PythonJava Strong hands-on expertise with Python frameworks (Django, Flask, or FastAPI, RESTful APIs), React.js and modern JavaScript Experience with relational databases like Oracle, PostgreSQL etc... Hands-on experience in designing and architecting large projects including performance, scalability, robustness, and resiliency Demonstrated proficiency in project management, ensuring timely delivery and extensive experience in Agile development methodologies. Bachelor of science or equivalent experience in Computer Science. Preferred Qualifications Development experience with container orchestration systems such as Docker and Kubernetes Experience with NoSQL databases like Couchbase, Redis, MongoDB, etc. Experience / Exposure building products using AI/ML technologies. A solid grasp of LLMs, prompt engineering, and RAG is a plus Experience in developing & managing applications for the supply chain business domain is a plus. Effectively manage and collaborate with contractors. Excellent verbal and written communication skills. Submit CV

General information Country India State Telangana City Hyderabad Job ID 45162 Department Information Technology Experience Level MID_SENIOR_LEVEL Employment Status FULL_TIME Workplace Type Hybrid Description & Requirements A Day in The Life Typically Includes: Review emails looking for open issues and priority requests Resolve any job failures Pick up next or continue current JIRA task in the analysis and delivery of data for use by other teams Work with other team members to assist and develop. Develop Data models / ERD Diagrams for review and execution Document any solutions in code and updates to Data Dictionary Review work product with manager, Business Analysts Required skills: Ability to code using SQL, Python Use of SQL IDE – Mngt. Studio or Visual Studio Previous experience with Data Warehouse design and modeling Experience with GIT Methodical problem solving skills Good communication skills through verbal and written communication. Teams, Email Understanding of Data Management skills – Profiling, Modeling Good documentation skills – writing with clarity Preferred Qualifications: Experience with Salesforce Experience with Snowflake Experience or experimentation with AI tools and techniques particularly as it relates to data analysis and management. Knowledge of cloud AI/ML services (AWS/Azure) or in built models Familiarity with business platforms like Salesforce/Pardot/Service Now/Infor OS for data-driven strategies Knowledge of - predictive analytics Developing solid data strategies, including systems of record and exposing data for AI/ML applications across diverse use cases. Knowledge of CICD pipeline Understanding of application databases and how they are modeled vs. a data warehouse model CRM Databases, Transactional Systems ( like invoicing, ticketing, ++) Familiarity with additional coding languages in preferred order Pebble A basic understanding of finance, marketing, sales and/or accounting is helpful in understanding the data we work with. Any certifications in: AWS Snowflake Microsoft About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

General information Country India State Telangana City Hyderabad Job ID 45091 Department Information Technology Experience Level MID_SENIOR_LEVEL Employment Status FULL_TIME Workplace Type Hybrid Description & Requirements A Day in The Life Typically Includes: Review emails looking for open issues and priority requests Manage resolution any job failures with necessary communication to team and stakeholders Communicate with other colleagues, peers to identify any priority tasks Review the teams progress on projects through Scrum calls, 1:1 meetings, email and other meetings. Review and plan both current or developing projects Manage available resources against priorities in the form of projects or open issues Required skills: Good communication skills through verbal and written communication. Teams, Email Experience developing and executing medium size project plans Effective Time Management Understanding of Data Management skills – Profiling, Modeling Good documentation skills – writing with clarity Previous experience with Data Warehouse design and modeling Experience with GIT Preferred Qualifications: Experience with Salesforce Experience with Snowflake Experience or experimentation with AI tools and techniques particularly as it relates to data analysis and management. Knowledge of cloud AI/ML services (AWS/Azure) or in built models Familiarity with business platforms like Salesforce/Pardot/Service Now/Infor OS for data-driven strategies Knowledge of - predictive analytics Developing solid data strategies, including systems of record and exposing data for AI/ML applications across diverse use cases. Knowledge of CICD pipeline Understanding of application databases and how they are modeled vs. a data warehouse model CRM Databases, Transactional Systems ( like invoicing, ticketing, ++) Familiarity with additional coding languages in preferred order Pebble A basic understanding of finance, marketing, sales and/or accounting is helpful in understanding the data we work with. Any certifications in: AWS Snowflake Microsoft About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionised entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple Operations and Supply Chain delivers to customer promise with revolutionary precision, accuracy and at an immense scale. At the heart of that revolution precision, accuracy and scale are best in class processes and systems. We are seeking an experienced and hands-on Supply Chain Data Solutions Architect to lead the development and deployment of next-generation AI systems in our global supply chain function. This role will focus on implementing cutting-edge Generative AI and Agentic AI solutions, backed by strong Data Engineering practices and supply chain domain expertise. Description As a Data Solutions Architect, we look forward to your bridging the gap between AI capabilities and real-world business challenges, driving automation, resilience, and efficiency across the value chain. Key responsibilities include : AI & Agentic Systems Implementation : - Design, build, and deploy Generative AI and Agentic AI solutions tailored for supply chain use cases (e.g., demand forecasting, scenario planning, exception handling, data monitoring). - Leverage technologies like LLMs, autonomous agents, reinforcement learning, and reasoning frameworks to power decision-making tools. - Lead the experimentation and operationalization of AI agents across planning, sourcing, logistics, and fulfillment domains. Data Engineering & Infrastructure : - Architect scalable data pipelines that ingest, transform, and serve high-quality data for AI/ML workloads. - Ensure robust data integration from ERP, Supply Chain systems, and third-party APIs (e.g., weather, risk). - Implement MLOps best practices to manage AI lifecycle: versioning, monitoring, retraining, and governance. Supply Chain Domain Expertise : - Work closely with cross functional supply chain IT and operations teams to translate business challenges into AI-driven solutions. - Bring functional understanding across areas like S&OP, inventory management, supplier risk, and transportation optimization. - Drive continuous improvement through digital twin models, predictive analytics, and scenario simulation. Cross-Functional Leadership : - Collaborate with data scientists, and engineers in a fast-paced agile environment. - Act as a thought leader in identifying high-value opportunities for AI within the enterprise supply chain. - Present technical concepts and business value to executive stakeholders clearly and persuasively. Minimum Qualifications Bachelor’s or Master’s in Computer Science, Data Science, Operations Research, or a related field. 10+ years of experience in data engineering, AI/ML, or analytics roles. 4+ years of hands-on experience with Generative AI (e.g., GPT, Claude, open-source LLMs) and Agent-based architectures (LangChain, AutoGen, etc.). Strong background in data engineering: SQL, Spark, Python, Airflow, cloud (AWS/GCP/Azure), and data lakes. Deep understanding of supply chain processes (planning, logistics, procurement, manufacturing). Familiarity with MLOps tools, vector databases (e.g., Pinecone, FAISS), and AI safety practices. Preferred Qualifications Experience with commercial supply chain platforms (e.g., Kinaxis, Blue Yonder). Exposure to digital twin and simulation platforms. Strong storytelling, communication, and stakeholder management skills. Experience in building and leading cross-functional project teams in a matrixed organization. Submit CV

General information Country India State Telangana City Hyderabad Job ID 45734 Department Development Description & Requirements Position Summary Software Engineer We are seeking an experienced Software Engineer with 3–5 years of hands-on development experience to contribute to our strategic Value+ initiative, driving automation, AI adoption, and process optimization. This role plays a critical part value+ roadmap by building scalable, high-quality solutions and enhancing our internal technology capabilities. The ideal candidate will have strong proficiency in Python and TypeScript, with exposure to RPA, AI/ML, and process mining. This position is based in the Hyderabad office and requires work from the office 3 days a week. A Day in Life Typically Includes : Designing and developing scalable automation solutions using Python and TypeScript. Leading and supporting development of RPA and AI-based capabilities aligned with business goals. Performing code reviews and mentoring junior team members. Troubleshooting issues, optimizing performance, and ensuring security compliance. Documenting technical approaches and assisting in deployment and release activities Researching new tools, frameworks, or use cases to improve delivery and efficiency. What You Will Need: Required Skills: Bachelor’s degree in computer science, Engineering, Information Technology, or a related field. in software development with a strong track record of delivering production-grade solutions. Proficient in Python and TypeScript; experience with other languages or frameworks is a plus. Hands-on experience with RPA tools, AI/ML model integration, or process mining platforms. Strong understanding of software engineering principles, data structures, algorithms, and design patterns. Experience with CI/CD pipelines, version control (Git), and Agile development practices. Excellent problem-solving, communication, and collaboration skills. A proactive mindset with the ability to take ownership of initiatives. Responsibilities: Design, develop, and maintain scalable applications using Python and TypeScript. Lead and support RPA automation workflows, AI/ML use cases, and process mining initiatives. Translate business requirements into technical specifications and deliver robust, maintainable solutions. Mentor junior developers, conduct code reviews, and enforce coding standards and best practices. Contribute to solution architecture, ensuring performance, scalability, and security compliance. Collaborate cross-functionally with product managers, analysts, and engineers to deliver business outcomes. Prepare detailed documentation, including technical specs, user guides, and deployment procedures. Stay current with emerging technologies and bring innovative ideas to the team. What Will Put You Ahead? Preferred Qualifications: Experience with multi-tenant systems. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

We work on Apple scale opportunities and challenges. We are engineers at heart. We like solving technical problems. We believe a good engineer has the curiosity to dig into inner workings of technology and is always experimenting, reading and in constant learning mode. If you are a software engineer with passion to code and dig deeper into any technology, love knowing the internals, fascinated by distributed systems architecture, we want to hear from you. Description We are seeking a highly skilled LLM Ops and ML Ops Engineer to lead the deployment, scaling, monitoring, and optimization of large language models (LLMs) across diverse environments. This role is critical to ensuring our machine learning systems are production-ready, high-performing, and resilient. The ideal candidate will have deep expertise in Python programming / Go Programming, a comprehensive understanding of LLM internals, and hands-on experience with various inference engines and deployment strategies. The person should be capable of exhibiting deftness to balance multiple simultaneous competing priorities and deliver solutions in a timely manner. The person should be able to understand complex architectures and be comfortable working with multiple teams KEY RESPONSIBILITIES: - Design and build scalable infrastructure for fine-tuning, and deploying large language models. - Develop and optimize inference pipelines using popular frameworks and engines (e.g. TensorRT, vLLM, Triton Inference Server). - Implement observability solutions for model performance, latency, throughput, GPU/TPU utilization, and memory efficiency. - Own the end-to-end lifecycle of LLMs in production-from experimentation to continuous integration and continuous deployment (CI/CD). - Collaborate with research scientists, ML engineers, and backend teams to operationalize groundbreaking LLM architectures. - Automate and harden model deployment workflows using Python, Kubernetes, Containers and orchestration tools like Argo Workflows and GitOps. - Design reproducible model packaging, versioning, and rollback strategies for large-scale serving. - Stay current with advances in LLM inference acceleration, quantization, distillation, and model compilation techniques (e.g., GGUF, AWQ, FP8). Minimum Qualifications 5+ years of experience in LLM/ML Ops, DevOps, or infrastructure engineering with a focus on machine learning systems. Advance level proficiency in Python/Go, with ability to write clean, performant, and maintainable production code. Deep understanding of transformer architectures, LLM tokenization, attention mechanisms, memory management, and batching strategies. Proven experience deploying and optimizing LLMs using multiple inference engines. Strong background in containerization and orchestration (Kubernetes, Helm). Familiarity with monitoring tools (e.g., Prometheus, Grafana), logging frameworks, and performance profiling. Preferred Qualifications Experience integrating LLMs into micro-services or edge inference platforms. Experience with Ray distributed inference Hands-on with quantization libraries Contributions to open-source ML infrastructure or LLM optimization tools. Familiarity with cloud platforms (AWS, GCP) and infrastructure-as-code (Terraform). Exposure to secure and compliant model deployment workflows Submit CV

Job Description Associate Specialist / Analyst - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who you are: You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities: Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications: Bachelor’s degree with at least 1-3 years industry experience Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications: Advanced degree in STEM (MS, MBA, PhD) 2-3 years’ experience in healthcare analytics and consulting Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills: Job Posting End Date: 08/11/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R336990

At Apple, new ideas have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don't just craft products - they build the kind of wonder that's revolutionised entire industries!. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple’s IS&T team is looking for a passionate Software Quality Engineer to contribute to design, analysis and certification of our applications. We are looking for someone who is equally passionate about quality and using lightweight processes to consistently achieve it. The role would also involve interacting with multi-functional engineering and product teams to test features, perform root cause analysis, and drive the quality of customer's experience. Description In this role, you will be involved in quality engineering for critical customer facing applications, work in a fast-paced, dynamic environment and be directly responsible for: - The quality of Apple’s products, including consistent functionality, performance and stability - Understanding new and existing feature implementations in order to craft informed, robust testing charters - Authoring and reviewing test scenarios, scripts and plans - Conduct functional, regression, performance, and security testing using automation tools - Identifying and report defects, inclusive of first-level root cause analysis and consistent steps to reproduce - Design, develop, and maintain automated test frameworks, scripts, and test cases for web, API, and mobile applications - Collaborate with developers, product managers, and QA teams to define test strategies and acceptance criteria - Implement CI/CD pipeline integration to enhance automated testing execution - Analyze test results, report defects, and track issues using defect management tools - Continuously improve test automation frameworks and enhance testing efficiency - Championing quality efforts beyond test execution, including collaborating with test automation engineering teams, product management teams and engineering program teams Minimum Qualifications 4 to 14 years experience in software quality assurance testing Strong practical 2 years experience in automation with Java, Python and/or Swift or any OO language Experience in testing API/Web Service, Web apps or Mac/iOS/iPadOS native applications Strong hands-on experience on Core Java, Karate, RestAssured, Playwright/Selenium, Appium/XCUI or similar frameworks Excellent written and verbal communication skills Preferred Qualifications Good knowledge of automation framework architecture, design and development Expertise in QE processes, tools and metrics Experience in Maven/Gradle and Git repositories is required Experience of working in Agile development environment with high quality product Solid understanding of software build tools, CI/CD integrations, deployment process and code quality checking tools Understands logs scanning to identify the errors and root cause Experience in testing microservices and cloud-based applications Strong problem-solving, debugging, and analytical skills Hunger to learn and explore new technologies which will optimise the existing solutions Hands on experience with Load, Resiliency & Performance testing. Exposure to Jmeter/Gatling/Locust performance testing framework Experience with Testing of AI/ML applications, Security and Accessibility testing is good to have Experience in cloud technologies such as AWS/GCP and containerisation technologies such as Docker or Kubernetes is good to have Experience with ServiceNow is nice to have Education & Experience Bachelors Degree in Computer Science or equivalent experience Submit CV

At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished. As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal partners to define and implement solutions that optimize Apple’s internal business processes. Description We are seeking an individual who can address challenges and find creative solutions. The ideal candidate should excel in collaborative environments and produce high-quality software under tight deadlines. Must be a self-starter, highly motivated, and able to work independently, while collaborating effectively with multi-functional teams across the globe (US, Singapore, India, and Europe). This role will have a direct impact on Apple’s business, requiring interaction with various internal teams to deliver cutting-edge products in a dynamic, ever-evolving environment. Key Responsibilities:- Design, develop, and optimize highly scalable, distributed systems, leveraging cloud-native technologies and micro services architecture to build robust and resilient solutions. Lead proof-of-concept projects and pilot implementations to showcase new ideas. Strive for excellence by continuously seeking ways to enhance system reliability, performance, and security. Contribute to design and code reviews, and assist in debugging and resolving issues. Develop system components and take full responsibility for the timely delivery, quality of the work. Collaborate with product owners, developers, QA, support teams, and end users. Mentor and guide a team of engineers, fostering a culture of innovation and excellence. Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies. Collaborate with contractors to ensure successful project execution. Ability to multitask and work independently with minimal supervision. Occasionally, will need to handle application production (warranty) support. Excellent verbal and written communication skills. Minimum Qualifications 6+ years of relevant experience in enterprise-level application development using advanced Oracle database technologies Hands-on experience with large-volume databases for both OLTP and OLAP environments Experience with databases such as SingleStore, Oracle, Snowflake, NoSQL, Graph, etc. Strong expertise in ETL, performance optimization, and maintenance of various solutions based on Oracle databases Strong ability to research, design, and develop complex technical solutions involving multiple technologies Bachelor's / Master’s degree in Computer Science or equivalent Preferred Qualifications Familiarity with Agile project management methodologies Experience with Python, Pandas DataFrames, SQLAlchemy, numpy, etc Experience in consuming and exposing web services (e.g., SOAP, REST) Knowledge of UNIX/Linux platforms and scripting experience with Shell, XML, JSON AI/ML-related experience A strong understanding of LLMs, prompt engineering and RAG Experience in developing applications for the Supply Chain business domain Submit CV

Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionised entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple Operations and Supply Chain delivers to customer promise with revolutionary precision, accuracy and at an immense scale. At the heart of that revolution precision, accuracy and scale are best in class processes and systems. We are looking for an Application Support Engineer to lead the Automation for Global Support, who would be responsible for modernising Support planning and execution using intelligent tools and would be hands-on. This role is perfect for an individual contributor who thrives at the intersection of support process and platform engineering. Description We are looking for an Application Support Engineer to architect smarter, faster, and self-sufficient support processes and systems. Key responsibilities include : - Work in a high-trust environment with technical leadership. - Work in strategic, tactical, and operational capacity to improve quality and speed of Application Support - Lead innovation in support with cutting-edge AI and LLM-powered tools. - Work on impactful challenges, following up on issues to ensure root cause and corrective action. Invoke crisis management for critical incidents. - Act as technical lead during critical incidents for fast resolution, root cause clarity, and system hardening. - Influence developer and application teams to shift support left, instrument apps, build diagnostics, and integrate telemetry early. - Contribute to build smart support tools: AI/ML summarisers, chatbots, ticket intelligence engines, and knowledge search systems. Integrate LLM-based agents into workflows for automation. - Develop automation for auto-triage, self-healing, and real-time diagnostics. - Enhance observability platforms for early anomaly detection, enriched alerts, and predictive support. - Create scalable play-books and support-as-code tooling for improved operational readiness and knowledge reuse. Partner with Business and technical teams to deliver support and manage incidents. Minimum Qualifications 4-7 years of experience in Enterprise Application Support Management Experience in handling observability/monitoring tools (PagerDuty, Data-dog, Prometheus, Splunk) Excellent verbal and written communication skills, attention to detail and the ability to communicate at all organizational levels Bachelor’s or Masters degree in Engineering specialising in Computer Science or IT Preferred Qualifications Problem Solving techniques for issue resolution Ability to communicate clearly and professionally with our business partners on the status of production issues and resolution strategy. Excellent interpersonal and problem solving skills required to serve diverse customer base and deal effectively with escalating issues Ability to combine technology with a support mindset to lead automation, observability, and shift-left processes. Experience working with best-in-class processes of IT service management while working on complex IT systems landscape in a global organisations. Ability to develop smart support tools using LLM, summarisers, and self-serve diagnostics and search interfaces using natural language processing Experience building Tableau dashboards for reporting and metrics. Deep analytical skills, systems thinking, and the ability to turn support problems into scalable engineering solutions collaborating across engineering, monitoring, and portfolio teams. Able to drive cross-functional communications required to serve diverse customer base and deal with escalations efficiently. Understanding in Supply Chain domain (or) Support delivery process and tools. Past experience in Service Now for Incident Management. Submit CV

At Apple, new ideas quickly transform into groundbreaking products, services, andcustomer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished. Description As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal stakeholders to define and implement solutions that optimize Apple’s internal business processes. Minimum Qualifications 7+ years experience building Web Applications using HTML, CSS, and JavaScript frameworks and/or libraries such as React, Angular etc. Experience in consuming and exposing web services (e.g., SOAP, REST) Extensive knowledge of design patterns, enterprise architecture and software engineering principles Proven ability to research, design, and develop complex technical solutions involving multiple technologies. Experience in defining continuous integration build processes for frontend web development Experience writing unit tests for web applications Development experience with container orchestration systems such as Docker and Kubernetes. Familiarity with Agile project management methodologies. Bachelor's / Master’s degree in Computer Science or equivalent Preferred Qualifications Bachelor's / Master’s degree in Computer Science or equivalent Experience with various database technologies (RDBMS, Key-Value, Document-based, etc.) is a plus. Experience with Java, Python, Pandas DataFrames, SQLAlchemy, numpy, etc. is a plus. Experience with various database technologies (RDBMS, Key-Value, Document-based, etc.) is a plus. AI/ML-related experience is a plus. A strong understanding of LLMs, prompt engineering and RAG is a plus. Experience in developing applications for the Supply Chain business domain is a plus Submit CV

At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished. As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal stakeholders to define and implement solutions that optimize Apple’s internal business processes. Description We are seeking an individual who thrives on tackling challenges and finding creative solutions. The ideal candidate should excel in collaborative environments and produce high-quality software under tight deadlines. Must be a self-starter, highly motivated, and able to work independently, while collaborating effectively with multi-functional teams across the globe (US, Singapore, India, and Europe). This role will have a direct impact on Apple’s business, requiring interaction with various internal teams to deliver cutting-edge products in a dynamic, ever-evolving environment. Key Responsibilities: Design, develop, and optimize highly scalable, distributed systems, leveraging cloud-native technologies and micro services architecture to build robust and resilient solutions. Lead proof-of-concept projects and pilot implementations to showcase new ideas. Strive for excellence by continuously seeking ways to enhance system reliability, performance, and security. Contribute to design and code reviews, and assist in debugging and resolving issues. Develop system components and take full responsibility for the timely delivery, quality of the work. Collaborate with product owners, developers, QA, support teams, and end users. Mentor and guide a team of engineers, fostering a culture of innovation and excellence. Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies. Ability to collaborate with contractors. Ability to multitask and work independently with minimal supervision. Occasionally, will need to handle application production (warranty) support. Minimum Qualifications 5+ years of relevant experience in enterprise-level application development using Python and related technologies Experience with Python data analytics platforms, such as pandas, DataFrames, numpy, etc. Strong knowledge of data structures, algorithm design, and object-oriented programming Proven ability to research, design, and develop complex technical solutions involving multiple technologies Experience in building Django/Flask-based app servers and API development Bachelor's / Master’s degree in Computer Science or equivalent Preferred Qualifications Familiarity with Agile project management methodologies Experience with various database technologies (RDBMS, Key-Value, Document-based, etc) Experience working with Javascript Frameworks like Angular/React Experience in developing software and services in cloud environments like AWS, GCP, etc. Experience with real time data processing using Apache Kafka or other Streaming tools AI/ML-related experience A strong understanding of LLMs, prompt engineering and RAG Experience in developing applications for the Supply Chain business domain Submit CV

Department: Training & Academics Specialization: Data Science/ Data Analytics/ Artificial Intelligence / Machine Learning. Location: Technovalley Software India Pvt Ltd, Ernakulam Type: Full-time Job Summary: We are seeking a highly experienced Senior Technical Consultant to lead and support our Training Division in the domains of Data Science,Data Analytics AI, and Machine Learning. The ideal candidate should have a strong academic background, curriculum development expertise, deep industry knowledge, and proven experience in training delivery, system adherence, and project management. This role plays a key part in shaping the future of learners and aligning training programs with industry standards. Key Responsibilities: Design, develop, and continuously update curriculum and course materials in Python,Data Science, Data Analytics,AI, and ML. Conduct advanced training sessions for students and professionals across varied levels of expertise. Ensure training delivery follows institutional and industry-standard systems and protocols. Lead and manage academic projects, capstone implementations, and research-based assignments. Collaborate with cross-functional teams to align training content with current industry needs. Mentor junior trainers and provide technical guidance to improve training effectiveness. Evaluate learner progress and provide actionable feedback to improve performance. Stay current with the latest trends and technologies in Data Science, AI, and ML. Contribute to accreditation, quality audits, and compliance processes. Develop partnerships with industry experts and academic collaborators to enhance learning outcomes. Requirements: Master’s or Ph.D. in Data Science, Artificial Intelligence, or related fields. Minimum 3+ years of experience in training, consulting, or applied industry roles in Data Science/AI/ML. Demonstrated experience in curriculum design and training content development. Strong command over tools and technologies such as Python, R, TensorFlow, Scikit-learn, SQL, etc. Experience in project management, especially in academic or training environments. Knowledge of academic systems, evaluation metrics, and training frameworks. Excellent communication, presentation, and mentoring skills. Certifications like Microsoft AI Engineer, TensorFlow Developer, or equivalent are a plus. Preferred Skills: Exposure to EdTech platforms and LMS tools. Publications, whitepapers, or recognized research work in AI/ML domains. Hands-on experience with real-world projects and datasets. Ability to adapt content for various audiences — from students to corporate trainees. Why Join Us? Opportunity to lead innovation in AI/ML education. Collaborative and growth-oriented work culture. Direct impact on shaping the skills of the next generation of tech professionals. Job Type: Full-time Work Location: In person

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Machine Learning Engineer III Are you fascinated by data and building robust data and machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end customer? This is exactly what we, Data & AI ML organization in Expedia, do. Our team is looking for a Machine Learning Engineer to join our Machine Learning Engineering team in Gurgaon. Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the traveler journey and experience. We believe in being Different. We seek new ideas, different ways of thinking, diverse backgrounds and approaches, because averages can lie and sameness is dangerous. Expedia is committed to crafting an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. In this role, you will : Work in a cross-functional team of Machine Learning engineers and ML Scientists to design and code large scale batch and real-time data pipelines on the AWS. Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team Communicate and work effectively with geographically distributed cross functional teams Participate in code reviews to assess overall code quality and flexibility Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure Define, develop and maintain artifacts like technical design or partner documentation Drive for continuous improvement in software and development process within an agile development team Participate in user story creation in collaboration with the team Support and troubleshoot data and/or system issues as needed Experience and Qualifications: Degree in software engineering, computer science, informatics or a similar field Comfortable programming in Python and Scala. Hands-on experience with OOAD, design patterns, SQL and NoSQL Knowledgeable in big data technologies, in particular Spark, Hive, Hue, Qubole and Databricks Experience in crafting real-time streaming applications, preferably in Spark streaming, and Kafka/KStreams You have a good understanding of machine learning pipelines and ML Lifecycle. Experience of using cloud services (e.g. AWS) Experience with workflow orchestration tools (e.g. Airflow) Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning. Experience working with Agile/Scrum methodologies Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Senior Full-Stack Developer (Multi-Platform & AI Focus) Employment Type: Full-time About Us: We are an innovative tech company building cutting-edge applications that span web, mobile, real-time collaboration, AI/ML, and cloud solutions. We’re looking for a highly skilled and versatile Senior Full-Stack Developer to join our team and help us deliver exceptional products at scale. Responsibilities: Design, develop, and maintain full-stack applications across web, mobile, and backend systems Implement responsive and performant UIs with modern JavaScript frameworks and cross-platform mobile toolkits Build and optimize APIs (REST, GraphQL, gRPC) and integrate secure authentication/authorization mechanisms Develop real-time and collaborative features with WebSockets, WebRTC, and advanced graphics rendering (WebGL, Three.js/Babylon.js) Work with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB) Deploy and maintain scalable infrastructure on AWS using EC2, S3, Lambda, API Gateway, and CloudFormation Implement CI/CD pipelines with Docker, Kubernetes, and GitHub/GitLab workflows Develop and integrate ML models with frameworks like TensorFlow, PyTorch, and SageMaker Process images and media using OpenCV, Pillow, FFmpeg, and optimization pipelines Collaborate with the team using Agile/Scrum and ensure secure coding practices (OWASP) Write unit, integration, and end-to-end tests to maintain code quality Required Skills & Experience: 3+ years in software development with full-stack experience Proficiency in: Languages: JavaScript (ES2023+), TypeScript, Python, Go, Java, Swift, Kotlin Frameworks: React, Next.js, Angular, Django, FastAPI, Spring Boot, Flutter, React Native Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD Strong background in real-time applications, graphics APIs, and multi-user collaboration features Experience with AI/ML development, model deployment, and prompt engineering Strong problem-solving skills, attention to detail, and ability to work independently and in a team Nice to Have: Experience with Apache Spark, Apache Kafka Serverless architecture expertise (AWS Lambda, Step Functions, SNS/SQS) Job Type: Full-time Pay: ₹480,000.00 - ₹720,000.00 per year Benefits: Commuter assistance Health insurance Provident Fund Work Location: In person Expected Start Date: 01/09/2025

Company Profile: Satopradhan Private Limited is an e-commerce platform and here we deliver healthier alternatives including a range of organic & natural groceries, personal care items, Bioenzymatic cleaners and many more, all over the India. Located in Amritsar, Punjab, we've been dedicated to offering sustainable alternatives for a holistic lifestyle since 2019. Our work culture is unique, peaceful, familial, and centred around your well-being. To know more about us, visit our ecommerce website: Satopradhan.com Job Profile: We’re looking for a Housekeeping & Facility Manager to ensure cleanliness, hygiene, and smooth maintenance of our factory premises . This role requires a proactive person who can supervise housekeeping staff and also manage routine facility maintenance tasks like plumbing, electricals, and repairs . Key Responsibilities: Supervise daily housekeeping and cleanliness in production, storage & office areas Manage and guide the housekeeping team effectively Look after day-to-day factory maintenance , including electricals, plumbing, fittings, lighting, and general repairs Handle complaints related to any facility breakdowns Monitor stock of cleaning and maintenance supplies Ensure timely maintenance checks and overall hygiene of the premises Requirements: 2+ years of experience in facility or housekeeping management (hotel/factory/warehouse preferred) Basic knowledge of electrical, plumbing, and repair work. Expertise required in housekeeping management. Strong leadership and task coordination skills. Honest, responsible, and self-driven Company Benefits: Positive and peaceful work culture No partiality, leg pulling, bossy or rude behaviour Learning resources to enhance your skills Performance-based promotion Leaves (CL, ML, EL and Holidays) Overtime paid ESI Increments yearly To apply reach us at 8699342575 or hr@satopradhan.com Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Health insurance Leave encashment Ability to commute/relocate: Amritsar, Punjab: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Housekeeping management: 2 years (Required) Facilities management: 2 years (Required) Facilities maintenance: 2 years (Preferred) Location: Amritsar, Punjab (Required) Work Location: In person

We are looking for an experienced Purchase Accountant to manage purchasing, vendor relations, and accounting processes efficiently. The Purchase Accountant will be responsible for smooth procurement operations while maintaining accurate financial records. Key Responsibilities: Manage end-to-end purchasing processes, including vendor selection, price negotiation, and order placement. Maintain purchase records, invoices, and payment schedules in coordination with the accounts department. Ensure all purchasing transactions are accurately entered into the accounting system. Monitor stock levels and place orders in a timely manner to avoid shortages. Prepare purchase orders and maintain vendor databases for reliable sourcing. Verify bills with goods received notes and resolve discrepancies in purchasing records. Reconcile supplier accounts and maintain compliance with company policies. Assist in budgeting and forecasting related to purchasing costs. Qualifications & Skills: Proven experience as a Purchase Accountant or in a similar role involving purchasing and accounting. Strong knowledge of procurement and vendor management processes. Proficiency in Tally/ERP or other accounting software. Excellent communication, negotiation, and analytical skills. Attention to detail and ability to work under deadlines. Benefits: Professional work environment. Paid Leaves (CL, ML, EL) & Holidays. Overtime pay and ESI benefits. Annual increments based on performance. Location: VPO Daburji, G.T. Road, Amritsar Working Hours: 9 hours including lunch break Apply via Indeed or send your CV to hr@satopradhan.com | Call: 86992-92575 Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹20,000.00 per month Ability to commute/relocate: Amritsar, Punjab: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: purchase management: 2 years (Required) Location: Amritsar, Punjab (Required) Work Location: In person

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something. Do you have a passion for creating ground-breaking, impactful features that surprise and delight millions of users? Do you enjoy solving challenging problems in a fast-paced, dynamic environment where you’ll work with many different teams across Apple? If so, we are looking for a Senior Software Engineering Manager to join our team. We build apps and systems in the digital support & device diagnostics domain for Apple’s customers. Come help us innovate on creating meaningful experiences that makes a big difference in our customers lives. Description You will lead an impactful team of individual contributors and managers with responsibilities that span the entire software engineering lifecycle. You will hire, mentor, retain, and ensure your team has an environment to thrive and succeed. You will be accountable for your team's engineering decisions, delivery quality, and commitments. You will maintain relationships with leaders, peers, and partners across the globe in a matrix structure and strive to build and sustain their trust and collaborate with multiple teams to ensure desired business outcomes are achieved. Developing a strong understanding of the business domain and the technology landscape will be important when you are called upon to provide experienced advice to business partners and leaders. Your portfolio will include critical customer-facing products, each with multiple complex, fast-moving concurrent projects. You will have to adapt to an environment where the business priorities may change rapidly. You will collaborate with peers to build the technical roadmap that should be aligned with the business vision for the product. You will plan work distribution and drive execution for your team. Achieving objectives and outcomes will require advocating for your ideas, solving problems creatively, and working smartly to cross the finish line. You will also be responsible for the operational health of the multiple products and you will be required to provide hands-on leadership for resolving high-impact issues bringing together teams from across Apple. Minimum Qualifications 5 years experience in managing, hiring/building and mentoring a team of impactful software engineers working on internet-scale products. Bachelor's degree in Computer Science or related field 10 years or relevant work experience Preferred Qualifications Ability to communicate effectively and work collaboratively with geographically distributed leaders, peers, and partners. 10 years of hands-on software development with strong knowledge of web application development using Java/J2EE and/or React-based technologies. Solid knowledge of software development process including agile methods and ability to adjust for what works best Ability to make priority and trade-off decisions based on sound Software Engineering & Architecture principles Experience / Exposure building products using AI/ML technologies. Knowledge with Site Reliability and technical operational support activities. Experience building experiences in the Digital Support domain. Excellent communication, leadership, and presentation skills Submit CV

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something. Product Engineering International, part of the esteemed Software Engineering Organization, is looking for a highly motivated and experienced manager to lead a team focused on developing cutting-edge generative models for a diverse range of international languages for Apple Intelligence. In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will: - Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages. - Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment. - Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable. Description As a Manager of our ML team, you will lead all aspects of ML architecture, NLP technologies selection, model training, fine-tuning, ablation studies, and productization. This role requires strong technical expertise, leadership skills, and the ability to collaborate across teams. The ideal candidate has a proven track record in managing teams, delivering production grade ML models across cloud and on-device environment, and making informed decisions that balance performance, privacy, security, and power constraints. A passion for mentoring and fostering team growth is essential, as you’ll guide engineers to excel in their careers. If you thrive in dynamic environments and excel at leading teams and projects, we want to hear from you. Additionally, you will be encouraged to contribute to the broader research community by publishing in top-tier AI/ML journals. Minimum Qualifications Minimum of 5+ years of experience as an Engineering Manager for software features focused towards machine learning components including processing large, complex data sets. Solid grasp of foundational generative technologies, including LLMs and diffusion models, as well as a deep understanding of NLP algorithms in general. Strong analytical and problem-solving skills, with emphasis on software debugging of complex ML code basis. High fluency in Python and ability to navigate in C/C++/Objective-C/Swift code bases. Familiar with frameworks like TensorFlow or PyTorch Preferred Qualifications Master's degree in AI, Machine Learning, Computer Science, Mathematics, or a related field. Experience in structuring software development teams. Experience in building scalable and maintainable software operating on large datasets Excellent problem-solving and project management skills. Ability to interact with parties with varying levels of technical proficiency. Comprehensive understanding of the machine learning pipeline, encompassing data processing, training, and performance analysis. Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely Hands-on experience in NLP modeling for Indian languages is desired. Submit CV

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.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Machine Learning Scientist III (Bangalore) Introduction to team The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about using Machine Learning (ML) and Natural Language Processing techniques to enhance the Traveler Experience? Our Marketing Content Machine Learning Science team focuses on generating and optimizing content that delivers relevant, personalized experiences to travelers and drives value for our business. If you're ready for your next challenge and want to innovate in a forward-thinking and cutting-edge team, we want to speak with you! We are looking for a self-motivated and independent individual who will have end to end ownership over driving impact to Expedia’s largest Marketing channels. With ample access to the latest technology this could be an exciting position for someone who loves to explore and deeply understand applications of machine learning! In this role, you will: Develop and implement advanced machine learning models (including Large Language Models) and statistical algorithms, processing massive datasets to build scalable prototypes. Explore new content opportunities in text and image domains to create personalized traveler experiences with high business impact. Design and run experiments (A/B testing, multi-variate, factorial design, stratified sampling) to measure the effectiveness of campaigns and new initiatives. Collaborate with cross-functional teams, including Machine Learning Science, Marketing, and Engineering, and present findings to executives and stakeholders to drive strategic decisions. Contribute to the success of Expedia's ML community by mentoring team members, fostering a collaborative culture, and sharing best practices with other ML teams. Experience and Qualifications: Master’s Degree or PhD preferred in a related field, or equivalent related professional experience Proficient in one or more data science programming languages (Python, Java, R). Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, NER, Random Forests, and more. Proven experience applying NLP techniques and LLMs in production to solve business problems and generate significant value. Accustomed to collaborative, fun work environments. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. 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. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 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 Experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training, small language model development, and implementation of Agentic AI systems Experience in developing and deploying end-to-end machine learning and deep learning solutions 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.

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We have one of the most complicated and efficient supply chains in the world, powered by world class internal systems and tools developed and managed by the Global Sourcing and Supply Management (GSSM) Solutions team. These tools enable us to effectively manage costs, supply, and bring supply chain intelligence to the forefront of our decisions. The GSSM Solutions team is seeking experienced Product Manager to lead complex, global enterprise initiatives. Applying a blend of technical expertise and business intelligence, you will interact directly with multi-functional teams across Supply Chain, Procurement, Finance and Operations to define, build and roll-out innovative technology and business processes. This includes understanding business problems, converting to solution requirements and execution of the solution. You will own multiple projects aimed at improving supply chain strategies and addressing our evolving business needs. This position offers the opportunity to influence our analytical environment and push the boundaries of our reporting capability. If you are passionate about delivering quality data solutions, we hope you will consider joining our Apple team. Description As a Product Manager, you will evaluate global business requirements and architect solutions to be solved with systems and tools. Do you have a passion for data and innovation? In this role you will identify, propose, and craft technical solutions that are user-friendly, scalable, and address key business issues. You will analyze legacy systems and interfaces and collaborate with software developers and business teams to design new and advanced cross-platform solutions. This will include implementation, improvements, maintenance, and training. Do you love building systems and optimization solutions? If this describes you, then we should meet. Minimum Qualifications 7+ years of product management experience with a Bachelor’s degree. MBA or MS in Supply Chain Management, Information Systems, Analytics, Computer Science or similar field preferred. Basic knowledge of SQL, Python, R, VBA, HTML/CSS, Power BI, Tableau, Alteryx, Airtable or similar. Preferred Qualifications 2+ years of experience in AI/ML or data-driven platforms. Experience launching AI-powered features in enterprise tools or data products. Experience defining technical requirements and leading software and system implementations across large organizations and multiple regions. Ability to lead impactful programs independently under concurrent deadlines. Ability to communicate clearly and concisely across multiple audiences and partners. Ability to translate ambiguous business problems into concrete technical solutions. Ability to lead the development of AI projects from start to finish. Translate business goals into clear AI/ML feature requirements in partnership with AI engineers and data scientists. In-depth knowledge of emerging concepts like machine learning and predictive analytics. An understanding of data in a complex enterprise system landscape, including data governance, quality, and synchronization. Understanding of LLM ecosystems, RAG pipelines, vector databases. Strong communication and storytelling skills with executive-level stakeholders. International and cross-geography experience preferred. Submit CV

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high performance analog semiconductors whose solutions are powering the wireless networking revolution. At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management and the freedom to make meaningful contributions in a setting that encourages creativity and out-of-the-box thinking. Our work culture values diversity, social responsibility, open communication, mutual trust and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together can change the way the world communicates. Requisition ID: 74592 Job Description Develop and maintain an automated Process Design Kit Regression test system, including web-based management system. Develop and maintain databases and web pages used for simulation model documentation and integration into our Electronic Design Automation (EDA) tools. Implement and develop custom optimization algorithm and automation in Keysight ADS using Python Automate data exchange between designers and our internal filter process Requirements: Bachelor’s or Master’s degree in Computer Engineering 3 years’ work experience Develop and maintain web applications Proficiency with front-end technologies (e.g., HTML, CSS, JavaScript). Design, implement, and manage databases (e.g., MySQL, PostgreSQL) Python ML/AI experience a plus Experience with version control systems (e.g. DevOps, Git) Strong problem-solving skills and attention to detail. Ability to work independently and manage multiple tasks effectively. Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.