We’re in search of a Senior Back-End Software Engineer that specializes in server-side components. In this role, you’ll primarily work on Node JS, Mongo DB, Python, Typescript, Redis, building scalable products and will bring a depth of knowledge on algorithms and data structures. As a Back-End Software Engineer, on any given day you might be architecting new features for our customers, refactoring existing code to be more scalable, and seeing changes through to completion in a live environment. Typical work week look like:- Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience. Design and implementation of scalable applications by using asynchronous programming with low-latency, high-availability, and performant applications between multiple systems, servers, and environments. Integration of data storage solutions by creating database schemas that represent and support business processes and also Integrating multiple data sources and databases into one system. Building reusable code and libraries for future use. Explore technical innovation and propose new solutions as and when required. Work with engineers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every month. Our ideal candidate should have:- 5+ years of relevant experience in a Tech Startup A solid grounding in Computer Science fundamentals (based on a BE/BTech or MS in Information Technologies/Computer Science) Strong proficiency with JavaScript and knowledge of Node.js and frameworks. Strong hands on MongoDB and ability to write aggregation queries. Understanding of Python and TypeScript. Basic understanding of front-end technologies, such as HTML5, and CSS3. Hands-on on code versioning tools, such as Git, Redis, AWS, Sockets What you can expect from ORI:- Passion & happiness in the workplace with great people & open culture with amazing growth opportunities. An ecosystem where leadership is fostered which builds an environment where everyone is free to take necessary actions to learn from real experiences. Chance to work on the cutting edge of technology. Freedom to pursue your ideas and tinker with multiple technologies- which a techie would definitely enjoy!! If you have outstanding programming skills and a great passion for developing beautiful, innovative applications, then you will love this job. Show more Show less

Exp: 2- 3 years of experience Annual CTC: Up to 10 LPA Location: NCR preferable (work-from-home currently). A remote working option is also available for good candidates from other places. For quick Response, please fill out the form Job Application Form https://docs.google.com/forms/d/e/1FAIpQLSeBy7r7b48Yrqz4Ap6-2g_O7BuhIjPhcj-5_3ClsRAkYrQtiA/viewform Job Description DUTIES AND RESPONSIBILITIES Thorough understanding of React.js and its core principles Developing new user-facing features using React.js · Building reusable components and front-end libraries for future use · Translating designs and wireframes into high quality code · Optimizing components for maximum performance across a vast array of web-capable devices and browsers · Collaborate with Product Designers, Product Managers, and Engineers to deliver compelling user-facing products · Build UI framework to help us create rich applications to interact with our data code, widgets, and all- and help us identify and document its emergent rules · Work with Clients to make their design and UI dreams come to life via an elegant user experience and design. · Experience with common front-end development tools such as Babel, Webpack, NPM, etc. · Ability to understand business requirements and translate them into technical requirements WORK EXPERIENCE · The position requires 2 to 3 years of experience as React JS Developer with any professional organization · A proven track record of design in front end development · Build pixel-perfect, buttery smooth UIs across both mobile platforms. · Experience in HTML5/CSS3, JavaScript (ES6), React · Strong coding skills · Familiarity with VSCode and other associated tools in React ecosystem SKILLS, ABILITIES & KNOWLEDGE · Clear and concise written and spoken communication skills · Ability to function with minimal oversight and must have developed a project in a team and with the matured use of configuration management and build/release process · Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model · Thorough understanding of React.js and its core principles · Experience with popular React.js workflows (such as Flux or Redux) · Familiarity with newer specifications of EcmaScript · Experience with data structure libraries (e.g., Immutable.js) · Knowledge of isomorphic React is a plus · Familiarity with RESTful APIs · Knowledge of modern authorization mechanisms, such as JSON Web Token · Familiarity with modern front-end build pipelines and tools · Experience with common front-end development tools such as Babel, Webpack, NPM, etc. · Ability to understand business requirements and translate them into technical requirements · A knack for benchmarking and optimization · Familiarity with code versioning tools -GIT · Flexible and responsive work style · Strong problem solving and analytical capabilities · Ability to multi-task and work under pressure Qualifications BE, B.Tech. Or MCA/MS (Computer Science / IT) from reputed institute Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Tech And AI Lead – Associate Director Are you passionate about using AI to drive business decisions? Do you enjoy developing robust solutions that have a wide-reaching impact? Are you as enthusiastic about sharing insights with clients as you are about discovering them from the data? If so, we have a great opportunity for you! Team: Global Analytics The opportunity You will be working in a small, agile analytics team within Global Finance serving teams across EY. We work with EY’s global leadership to ensure that the best data and analytics-driven insights are used in strategic and operational decision-making across the firm. Within the analytics team, you will lead be the Tech & AI Lead, responsible for identifying and implementing opportunities to leverage AI to better serve actionable insights across EY. You will use your knowledge of AI and experience in a wide range of tools and technologies to produce efficient and scalable solutions across everything we do. You will lead projects that provide innovative, data-driven perspectives on key business questions, helping to frame and develop the narratives that will ultimately guide how investments are made across our business. Your Key Responsibilities As Tech & AI lead, you will ensure that the analytics team is making the best use of the latest GenAI models and technologies across our portfolio of analyses. This will include reviewing our tech stack, architecture and models and proposing alternatives where commercially effective, and evolving our use of AI to improve how we operate and go to market. In this key role, you will contribute to a wide range of analytics projects across the team, e.g.: GenAI Insight Portal for Global Analytics Integration of GenAI functionality within our existing products and those of other teams Design of dynamic communications system/alert system connecting insights to relevant roles in the firm Involvement in the production of recommendation systems Automating processes and analysis across the team Implementing the roll out of new technologies as necessary Across your project responsibilities you may be required to: Gather requirements from key business stakeholders Develop innovative solutions to the stakeholder requirements, challenging the status quo when required to impact how the business operates Create and lead global project teams across our onshore and offshore teams and other stakeholders to deliver commercial and business-oriented solutions Provide technical direction across the project phases, running review sessions and/or pair-programming with other team members to ensure high quality outputs are delivered Create compelling deliverables (e.g. presentations, dashboards) to communicate key insights and recommendations to senior audiences You will also coach and mentor junior colleagues and peers in their technical development through hosting training sessions and informal knowledge sharing. Skills And Attributes For Success We are a diverse team with a variety of skillsets across the data and analytics domains. You are a motivated, curious, technically minded individual that will use their unique blend of skills and experiences to elevate the value that our team can bring to the business. To qualify for the role you must have: Strong academic record holding a PhD or Masters level degree in Machine Learning & AI (or similar) Leading knowledge and experience of applying emerging GenAI models & tech Demonstrable experience in relevant technical roles, including some experience in specifically data insight / analytics roles Extensive experience across the software development life cycle, from initial architecture design to implementation and testing Experience using Python and SQL to manage and manipulate data for analysis Good understanding of database design, including schema design and versioning data Experience in at least one version control system, preferably Git Experience in developing decision making models to inform better business decisions Exceptional attention to detail, demonstrated in analysis performed, outputs delivered, and verbal/written communications Experience working with directly with stakeholders to ensure project expectations are met or exceeded Experience in data storytelling, especially for non-technical audiences The ability to prioritize and balance your time across multiple commitments and help others on the team do the same Experience leading projects to deliver efficiently and on time Ideally, you’ll also have several of the following: Experience identifying use cases for automation and designing & implementing automated solutions, ideally in the production of data-driven reporting Experience in at least one data visualization application e.g. Tableau, Spotfire, Power BI The ability to determine, explain, and produce the appropriate visualization to illustrate a key insight Experience developing statistical models in a production environment using Python A deep understanding of the benefits and limitations of a range of statistical and analytical methods (regression and classification methods, recommendation engines, etc.) Ability to validate and where necessary cleanse data sources for use in analysis Knowledge of techniques for handling missing data Experience building interactive dashboards in multiple platforms Experience working in an agile environment Experience working in or with a strategy function What Working At EY Offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service while allowing you to build your career without sacrificing your personal priorities. We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Tech And AI Lead – Associate Director Are you passionate about using AI to drive business decisions? Do you enjoy developing robust solutions that have a wide-reaching impact? Are you as enthusiastic about sharing insights with clients as you are about discovering them from the data? If so, we have a great opportunity for you! Team: Global Analytics The opportunity You will be working in a small, agile analytics team within Global Finance serving teams across EY. We work with EY’s global leadership to ensure that the best data and analytics-driven insights are used in strategic and operational decision-making across the firm. Within the analytics team, you will lead be the Tech & AI Lead, responsible for identifying and implementing opportunities to leverage AI to better serve actionable insights across EY. You will use your knowledge of AI and experience in a wide range of tools and technologies to produce efficient and scalable solutions across everything we do. You will lead projects that provide innovative, data-driven perspectives on key business questions, helping to frame and develop the narratives that will ultimately guide how investments are made across our business. Your Key Responsibilities As Tech & AI lead, you will ensure that the analytics team is making the best use of the latest GenAI models and technologies across our portfolio of analyses. This will include reviewing our tech stack, architecture and models and proposing alternatives where commercially effective, and evolving our use of AI to improve how we operate and go to market. In this key role, you will contribute to a wide range of analytics projects across the team, e.g.: GenAI Insight Portal for Global Analytics Integration of GenAI functionality within our existing products and those of other teams Design of dynamic communications system/alert system connecting insights to relevant roles in the firm Involvement in the production of recommendation systems Automating processes and analysis across the team Implementing the roll out of new technologies as necessary Across your project responsibilities you may be required to: Gather requirements from key business stakeholders Develop innovative solutions to the stakeholder requirements, challenging the status quo when required to impact how the business operates Create and lead global project teams across our onshore and offshore teams and other stakeholders to deliver commercial and business-oriented solutions Provide technical direction across the project phases, running review sessions and/or pair-programming with other team members to ensure high quality outputs are delivered Create compelling deliverables (e.g. presentations, dashboards) to communicate key insights and recommendations to senior audiences You will also coach and mentor junior colleagues and peers in their technical development through hosting training sessions and informal knowledge sharing. Skills And Attributes For Success We are a diverse team with a variety of skillsets across the data and analytics domains. You are a motivated, curious, technically minded individual that will use their unique blend of skills and experiences to elevate the value that our team can bring to the business. To qualify for the role you must have: Strong academic record holding a PhD or Masters level degree in Machine Learning & AI (or similar) Leading knowledge and experience of applying emerging GenAI models & tech Demonstrable experience in relevant technical roles, including some experience in specifically data insight / analytics roles Extensive experience across the software development life cycle, from initial architecture design to implementation and testing Experience using Python and SQL to manage and manipulate data for analysis Good understanding of database design, including schema design and versioning data Experience in at least one version control system, preferably Git Experience in developing decision making models to inform better business decisions Exceptional attention to detail, demonstrated in analysis performed, outputs delivered, and verbal/written communications Experience working with directly with stakeholders to ensure project expectations are met or exceeded Experience in data storytelling, especially for non-technical audiences The ability to prioritize and balance your time across multiple commitments and help others on the team do the same Experience leading projects to deliver efficiently and on time Ideally, you’ll also have several of the following: Experience identifying use cases for automation and designing & implementing automated solutions, ideally in the production of data-driven reporting Experience in at least one data visualization application e.g. Tableau, Spotfire, Power BI The ability to determine, explain, and produce the appropriate visualization to illustrate a key insight Experience developing statistical models in a production environment using Python A deep understanding of the benefits and limitations of a range of statistical and analytical methods (regression and classification methods, recommendation engines, etc.) Ability to validate and where necessary cleanse data sources for use in analysis Knowledge of techniques for handling missing data Experience building interactive dashboards in multiple platforms Experience working in an agile environment Experience working in or with a strategy function What Working At EY Offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service while allowing you to build your career without sacrificing your personal priorities. We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Good day, We have immediate opportunity for Python Developer. Job Role: Python Developer Job Location: Kharadi, Pune Experience- 5 Years to 15 Years Notice Period: upto 30 days. About Company: At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+ and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. Diversity, Equity, and Inclusion Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Job Description: Job Description: We are seeking a talented Python Developer to join our team and contribute to the development and maintenance of Python-based applications. The ideal candidate will possess expertise in Python programming, basic Unix knowledge, SQL, and a strong understanding of Cloud Development, CI/CD, and DevOps practices. Responsibilities: Develop and maintain Python-based applications. Collaborate with cross-functional teams to define, design, and deploy new features. Write clean, maintainable, and efficient code. Design and implement low-latency, high-availability, and performance applications. Integrate user-facing elements developed by front-end developers with server-side logic. Implement security and data protection. Optimize applications for maximum speed, scalability, and reliability in a cloud environment. Implement and maintain CI/CD pipelines for automated testing, integration, and deployment. Work closely with DevOps teams to ensure seamless deployment and monitoring of applications in the cloud. Implement data storage solutions and database management in a cloud environment. Perform code reviews and provide feedback to other developers. Troubleshoot, debug, and upgrade existing systems. Requirements: Proficient in Python with a good understanding of its ecosystems Basic knowledge of Unix/Linux systems Familiarity with SQL databases and their declarative query languages Strong understanding of Cloud Development and experience with cloud platforms such as AWS, Azure, or GCP Experience with CI/CD pipelines and tools for automated testing and deployment. Familiarity with DevOps practices and tools for infrastructure as code, configuration management, and monitoring Good understanding of server-side templating languages Experience with web frameworks such as Django, Flask, or Pyramid Understanding of accessibility and security compliance Knowledge of user authentication and authorization between multiple systems, servers, and environments Understanding of fundamental design principles behind a scalable application Familiarity with event-driven programming in Python Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform. Proficient understanding of code versioning tools such as Git Experience with front-end technologies such as JavaScript, HTML5, and CSS3 is a plus. If you find this opportunity interesting kindly share your below details (Mandatory) Total Experience Experience in Python - Experience in Unix/Linux – Experience in SQL- Experience in Cloud - Current CTC- Expected CTC- Notice period- Current Location- If you had gone through any interviews in Synechron before? If Yes when Regards, Premkumar Khandare Show more Show less

AI Architect - Location: Remote Remote India Remote Remote India Job Type: regular full-time Division: Precision for Medicine Business Unit: QuartzBio Requisition Number: 5716 QuartzBio Overview QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions. Position Summary As AI Architect , you will play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems that power our core products and enable intelligent exploration of biomarker data. You will lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. In this leadership role, you will architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy, tooling, and infrastructure. You will also champion best practices in AI-first development, mentor engineering talent, and drive the adoption of emerging AI technologies to ensure our systems remain at the forefront of innovation. Key Responsibilities Architect and lead the development of next-generation RAG systems using vector databases, semantic embeddings, and cloud-native services. Design and implement scalable, production-ready GenAI pipelines and LLM-based services to power intelligent, conversational exploration of biomarker data. Collaborate across Product, Engineering, and Design to align AI architecture with roadmap priorities and user needs. Own key architectural decisions around model orchestration, latency optimization, prompt design, and scalability Strategic technical advisor to leadership and help prioritize AI investments with long-term impact. Provide technical leadership across squads, driving design reviews, AI solution quality standards, and architectural consistency. Lead internal initiatives to adopt and evaluate emerging AI/LLM frameworks, orchestration platforms, and foundation models. Define and refine LLM evaluation frameworks, feedback pipelines, and end-user quality metrics. Champion best practices for AI-first development, observability, versioning, and experimentation Serve as a mentor and multiplier, developing talent across the AI engineering organization. Drive strategic AI initiatives aligned with business goals. Subject matter expert in AI and machine learning technologies. Draft and maintain internal documentation for relevant AI systems and processes; communicate within and across teams. Debug and troubleshoot complex AI system issues and provide timely solutions. Mentor and develop AI engineers; help scale the AI organization through strategic hiring, training, and leadership. Communicate effectively with team members and stakeholders. Collaborate with cross-functional teams to define AI project requirements and timelines. Continuously improving technical skills and staying up to date with emerging AI technologies and shifting priorities Other duties as assigned. Qualifications Bachelor’s degree related field and a minimum of 12 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions. 10+ years of engineering experience, including 5+ years shipping production ML/AI systems, with a focus on LLMs or GenAI 6-8 years of experience working in a customer-facing role and leading projects. Proven experience driving architecture and strategy for complex AI systems at scale Deep expertise in Python, cloud platforms (especially AWS), and modern AI/ML infrastructure Advanced proficiency with semantic search, vector databases, and retrieval-augmented generation (RAG) architectures Experience working with LLM tooling such as Lang Chain, Llama Index, AWS Bedrock, OpenAI, or similar Familiarity with evaluation pipelines, human-in-the-loop feedback systems, and performance optimization Strong systems thinking and algorithmic fundamentals (DSA) Excellent communication skills, with a track record of aligning stakeholders and driving strategic initiatives. Comfortable in AI-native environments using tools like GitHub Copilot, Cursor, or related development assistants. Strong ability to identify and present information or data that will have a strong effect on others. Strong ability to partner with customers. Strong ability to review and understand end-to-end work processes. Skilled at collaborating with customers to understand their requirements and expectations by asking questions and listening. Excellent problem-solving and analytical skills. Leadership Expectations Follows Company's Principle and code of ethics on a day-to-day basis. Shows appreciation for individual talents, differences, and abilities of fellow team members. Listens and responds with appropriate actions. Leads change initiatives and continuous process improvements. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. Apply Now Show more Show less

Webs Optimization Software Solution” (www.websoptimization.com) , Ahmedabad is hiring for Highly Enthusiastic & Motivated Lead Android Developer. Job Designation: Lead Android Developer [Kotlin] Job Location: Ahmedabad, Gujarat [WFO Only] Work Experience: 4 - 6 Years Working Days: 5 Days About Our Product: Callyzer is a B2B Call Monitoring and Lead Management Software. Callyzer operates under LogiMinds Technolab LLP and was established in 2021. In a short period, we have gained over 1500+ clients and our software is being utilized by more than 15,000+ employees globally. Our key customers include Pristyn Care, Tata Capital, Cars24, WheelEye, Motilal Oswal, etc. JOB DESCRIPTION: As a Lead Android Developer , you will be responsible for leading Android projects, mentoring developers, and ensuring technical excellence throughout the lifecycle of our mobile applications. Key Responsibilities: Team Leadership : Guide and mentor junior developers, assign tasks, and oversee project execution. Project Ownership : Drive end-to-end feature development - from planning to deployment and support. Architecture : Design scalable architecture based on MVVM principles. Application Development : Develop, optimize, and maintain high-quality Android apps using Kotlin. Database : Handle local storage using SQLite and Room Database. Dependency Injection : Manage lifecycles and components with Dagger-Hilt. API Integration : Work with RESTful APIs via Retrofit. Concurrency : Ensure smooth background processing using Kotlin Coroutines. Crash Handling : Integrate and monitor Firebase Crashlytics for crash analytics. Play Store : Manage app releases, updates, and Play Store compliance processes. Code Quality : Conduct code reviews, enforce best practices, and optimize performance. Version Control: Must have experience with Git , and familiarity with GitHub, GitLab, or Bitbucket for code management. Required Technical Skills: Proficiency in Kotlin programming Strong grasp of MVVM architecture Expertise in Room Database and SQLite Experience with Dagger-Hilt , Retrofit , and Kotlin Coroutines Firebase Crashlytics integration and crash analytics handling Play Store deployment and release management experience Proficiency in Git/code versioning tools like GitHub, GitLab, or Bitbucket Why Join Webs Optimisation Software Solution? Working Days: 5 days a week Company History: Incorporated since 2013 Team: An ever-growing team of 80+ highly talented professionals Work Schedule: Flexible working hours Health Benefits: Medical insurance Work Culture: Positive atmosphere and culture promoting personal growth Job Satisfaction: Job satisfaction and stability with a suitable leave policy Company Activities: Fun company activities Benefit of WFH Policy Show more Show less

We are looking for a skilled .NET Full Stack Developer with experience in Azure cloud services to join our innovative team. The ideal candidate will be adept in developing high-quality, scalable, and efficient web applications and have a solid background in .NET frameworks and cloud-based solutions. ◘ Key Responsibilities: •Design, develop, and maintain efficient and reliable code using .NET programming languages (MVC/Core) with a focus on Azure cloud integration. Implement Azure cloud services into the development lifecycle, ensuring high availability and scalability. Collaborate with cross-functional teams to define, design, and ship new features, with a focus on cloud-based solutions. Optimize applications for maximum speed and scalability. Identify, troubleshoot, and resolve performance issues. Maintain code quality, organization, and automatization. Stay abreast of developments in web applications and programming languages. ◘ Skills and Qualifications: 2-4 years of experience in .NET development, including MVC/Core, Entity Framework. Proficient in C#, SQL Server, and Azure Functions and cloud services. Strong understanding of object-oriented programming. Experience in building SOAP & REST web services. Experience with front-end technologies, including JavaScript, jQuery, HTML5, and CSS3. Familiarity with Azure cloud services and their application in web development. Experience in implementing automated testing platforms and unit tests. Good understanding of code versioning tools, such as Git. ◘ Bonus Qualifications: Experience with Angular or other modern JavaScript frameworks. Knowledge of additional cloud service providers (e.g., AWS, Google Cloud). Job Type: Full-time Location Type: In-person Schedule: Day shift Application Question(s): We are hiring for Surat, Gujarat local candidates. So, Are you from Surat? Experience: as a dot net developer: 2 years (Required) Work Location: In person

Company Description TOPS Infosolutions Pvt. Ltd. is a leading provider of innovative IT solutions, specializing in custom software development and digital transformation strategies to help businesses succeed in the digital era. With expertise across various industries including retail, healthcare, finance, and more, we leverage advanced technologies such as AI, machine learning, and cloud computing to create scalable solutions. Our services encompass ERP, CRM, SCM, Business Intelligence, Software Product Development, and Bespoke Applications for web and mobile platforms. Based in Ahmedabad, we prioritize quality, reliability, and customer satisfaction through an agile approach. Position : PHP(Laravel Developer) Experience Level: 3+ Years Job Location: Ahmedabad - WFO Job Requirements: Strong experience in Back-End Web Development, Object-Oriented Programming (OOP). Experience in Laravel, CodeIgniter, or other MVC frameworks Should have knowledge of Agile Process & Knowledge of Web Application Security concepts. Database experience of at least one of the following: PostgreSQL or MySQL. Must have experience of Laravel Seeders, Migration and factory files, Service Providers. Should have Experience of creating schedules and artisan commands in Laravel. Should be very strong with Object Oriented concepts, design and architecture. Basic Database conceptual knowledge such as DDL, DML and their usages. Knowledge of Ecommerce, payment gateway & API integration. Identify and correct bottlenecks and fix bugs Experience with Google Map API, Firebase API, and AWS is plus. Proficient understanding of code versioning tools (such as Git, Bitbucket) Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. We are looking for a passionate and skilled software professionals to provide software engineering solutions for development projects in the Security systems team. In this position, you will work with a team of multi-disciplined professionals to develop and optimize systems, tools and methods for QTI security solutions. The position will require you to work on security software development that needs close interactions with internal teams and potentially with external customers as well. You will be contributing on various Security related technologies across Mobile platform Security, Cryptography, Trusted Execution environments, Access control mechanisms, vulnerability detection etc. You will work across multiple processors, Embedded software platforms, and operating systems. Your work will contribute towards making mobile platforms safe and secure to use and thus creating a positive impact on end user of the handset. Responsibilities Designing, developing, coding, testing and debugging Security related software on Embedded platforms. Developing software in C, Assembly. Python to run on ARM, RISCV & Proprietary CPU platforms. Develop Software modules for proprietary or high level operating systems (Linux/Windows). Follow defined methodologies, processes and procedures for various software development activities. Triage, Debug and resolve issues and bugs in the software through good problem solving skills. Collaborate within and cross functional teams as required to ensure quality work products are delivered. Demonstrate Self motivation and strong initiative and ability to work with minimal supervision or direction. Minimum Qualifications Bachelor's / Master's degree in Engineering, Information Systems, Computer Science, Electronics or related field. 3-5 years of experience in Embedded software development and programming in C / C++ / Assembly. Strong understanding of Embedded hardware, Computer Architecture and Operating System concepts. Good understanding of OS concepts such as tasks, signals, timers, priorities, deadlocks, stacks, etc. Proficiency in MMU concepts, including virtual memory management, address translation, and protection mechanisms Experience with SMMU and its functions, such as address translation, attribute control, and access permissions Understanding of security features related to memory management, such as TrustZone and secure memory regions Understanding of RTOS fundamentals like multi-threading, interrupt management, cache/memory management etc. Good expertise and experience on product security for embedded devices, which may include a subset of the following skillsets: Symmetric & Assymmetric Cryptography, Device integrity & Authentication, Secure communications, Trusted execution environment, Protected virtualization Platform isolation techniques, Embedded/real time OS security, Vulnerability detection methods, Exploit mitigation techniques, Hardware access control, Secure provisioning and debug, Key management and applied cryptography Desirable Qualifications Good understanding of and experience on embedded processor architectures like ARMv8/9 or RISC-V processors. Experience with code versioning tools (git / perforce) build tools (Makefiles/SCons), and debuggers like JTAG. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075841 Show more Show less

***********************************6 month contract opportunity********************************** Remote Opportunity Duties: Deliver new features and maintain existing features in Salesforce platform. Collaborate with product owners to define, scope, and size the approach to business requirements. Collaborate with architects to develop system designs and recommend technical solutions. Support the integration and data preparation with SQL experience. Configure flows, Lightning Web Components, security settings, validation rules, page layouts, and other object customizations. Perform Apex programming in Salesforce platform to support various business functions. Create Platform Events and Flows. Configure and customize Salesforce CPQ package. Ability to integrate 3rd Party API’s with Salesforce. Work with CRM development team in Agile SCRUM framework. Provide constructive feedback and recommendation to the Agile SCRUM team(s) as part of the retrospectives. Work closely with the QA and Dev Ops teams to optimize the Continuous Integration/Continuous Deployment processes and test automation frameworks for the team. Skills: Salesforce certifications like – Admin, App builder, PD1 and PD2. 5+ years of development experience on Salesforce. Experience on Salesforce development involving Apex classes, Apex triggers, and SOQL queries with deep understanding and hands-on experience on Salesforce limits and test class coverage. Lightning web and aura components. Experience on Salesforce CPQ package configuration and customizations around it. Experience in configuring Salesforce automation with Platform event and Flows. Intensive hands-on experience in Salesforce security model. Experience in development of web services and enterprise application integrations with Salesforce. Experience in code versioning and deployment tools such as VSCode, Salesforce CLI, Git, Ant. Demonstrated ability to thrive in a team environment that operates under the self-organizing principles of Agile. Understanding of, and the ability to put into practice, development, and quality standards for software development. Solid analytical and problem-solving skills. Excellent communication skills, able to present ideas and recommendations. Show more Show less

Role Description Role Proficiency: Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team Outcomes Managing and designing the reporting environment including data sources security and metadata. Providing technical expertise on data storage structures data mining and data cleansing. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Synthesize both quantitative and qualitative data into insights Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Understanding business requirements and translating it into executable steps for the team members. Identify and recommend new ways to streamline business processes Illustrates data graphically and translates complex findings into written text. Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback. Review the team’s deliverables before sending final reports to stakeholders. Support cross-functional teams with data reports and insights on data. Training end users on new reports and dashboards. Set FAST goals and provide feedback on FAST goals of reportees Measures Of Outcomes Quality - number of review comments on codes written Accountable for data consistency and data quality. Number of medium to large custom application data models designed and implemented Illustrates data graphically and translates complex findings into written text. Number of results located to help clients make informed decisions. Attention to detail and level of accuracy. Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Manage team members and review the tasks submitted by team members Number of mandatory trainings completed Outputs Expected Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Management And Strategy Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical Business Insights Mines the business’s database in search of critical business insights and communicates findings to the relevant departments. Code Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data. Creates efficient and reusable code. Follows coding best practices. Create/Validate Data Models Builds statistical models; diagnoses validates and improves the performance of these models over time. Predictive Analytics Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive Analytics Attempts to identify what business action to take Code Versioning Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket. etc. Create Reports Create reports depicting the trends and behaviours from the analysed data Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply to project related reporting standards/process Skill Examples Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings. Presentation Skills - reports and oral presentations to client Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Database languages such as SQL Programming language such as R or Python Analytical tools and languages such as SAS & Mahout. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik or Power BI. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Additional Comments Job Description: We are looking for an experienced Python Developer with a minimum of eight years of experience in Python and its related web frameworks. Experience with machine learning stacks is a plus. Job Location: Bengaluru, India Responsibilities: Develop, test, and maintain web applications using Python and related frameworks like Flask. Write clean, maintainable, and efficient code. Troubleshoot and debug applications to ensure optimal performance. Participate in code reviews to maintain code quality and share knowledge with the team. Work on integrating machine learning models and algorithms into applications (nice to have). Requirements: Minimum of 5 years of professional experience in Python development. Strong knowledge of web frameworks like Flask. Experience with relational databases such as PostgreSQL, MySQL, or similar. Familiarity with version control systems like Git. Knowledge of software development best practices and design patterns. Excellent problem-solving skills and the ability to work independently as well as in a team. Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders. Proficiency in front-end technologies like HTML, CSS, and JavaScript is a plus. Experience with machine learning stacks such as TensorFlow, Keras, or scikit-learn is a plus. Skills Python,Machine Learning Models,Flask,Postgresql Show more Show less

Job Title: Python Developer Experience: 6M to 2 year Location: Jaipur / Onsite Openings: 2 to 3 Company: i4 Consulting Pvt. Ltd. About Us: i4 Consulting Pvt. Ltd. is a leader in Website & Mobile App Development, committed to delivering innovative solutions and driving technological advancements. Our team is a blend of seasoned professionals and dynamic innovators who are passionate about what they do. Join us and be part of a company that values creativity, collaboration, and continuous learning. Job Description: We are looking for a skilled Python Developer (Django) to join our growing team. As a Python Developer at i4 Consulting Pvt. Ltd., you will be responsible for writing and testing code, debugging programs, and integrating applications with third-party web services and basic knowledge of using AI/ML . You will work closely with our engineering team to ensure system consistency and improve user experience. Key Responsibilities: Develop and maintain efficient, reusable, and reliable Python code. Write scalable, testable, and maintainable code. Work closely with other developers, designers, and product managers to deliver high-quality software solutions. Integrate user-facing elements developed by front-end developers with server-side logic. Implement security and data protection solutions. Identify and fix bottlenecks and bugs in the system. Help maintain code quality, organization, and automation. Artificial Intelligence and Machine Learning Collaborate in the design and implementation of scalable software. Qualifications: Proven experience as a Python Developer or in a similar role. Strong proficiency in Python and its frameworks (e.g., Django, Flask). Experience with front-end technologies (e.g., HTML, CSS, JavaScript) is a plus. Familiarity with ORM (Object Relational Mapper) libraries. Familiarity with event-driven programming in Python. Understanding of fundamental design principles behind a scalable application. Knowledge of user authentication and authorization between multiple systems, servers, and environments. Understanding of fundamental design principles behind a scalable application. Strong unit test and debugging skills. Proficient understanding of code versioning tools, such as Git. Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with front-end technologies (e.g., React, Angular, Vue.js). Experience with Docker and container orchestration tools (e.g., Kubernetes). Knowledge of machine learning libraries (e.g., TensorFlow, PyTorch) is a plus. Experience with RESTful APIs and web services. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and career advancement. A collaborative and inclusive work environment. Flexible working hours and remote work options. Access to the latest tools and technologies. How to Apply: Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and experience to HR@ICore.sg or WhatsApp on +919829285740 i4 Consulting Pvt. Ltd. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us and contribute to the future of IT Field with your expertise and creativity. We look forward to receiving your application! Thank you HR Team www.ICore.sg Show more Show less

Role Description Position: Python Developer - (2+ years) Type: Full-time Location: Hyderabad Qualifications 2+ years of experience as a Python Developer Strong proficiency in Python, with a good understanding of its ecosystems Experience with Python web frameworks such as Django or Flask Familiarity with front-end technologies (HTML, CSS, JavaScript) Experience with SQL and relational databases Understanding of code versioning tools such as Git Ability to work independently and collaboratively in a team Excellent problem-solving skills and attention to detail Additional qualifications and skills that would be beneficial: Experience with cloud platforms such as AWS or Azure Knowledge of containerization and orchestration tools such as Docker and Kubernetes Understanding of Agile development methodologies Knowledge of other programming languages such as Java or C++ If you are a talented Python Developer with a passion for coding and a desire to work in a dynamic and collaborative environment, we would love to hear from you! Show more Show less

Experience: 3years-4 year Np: Immediate-15Days Location: Coimbatore Share your updated resume to haripriya.k@kgisl.com Job Description: Experience in developing ASP.NET MVC applications Experience with ORM frameworks such as Entity Framework Experience with relational databases, including Microsoft SQL Server Experience in Web API Experience in .Net Core (Added Advantage) Proficiency in building web-based applications In-depth knowledge of the .NET languages Strong understanding of object-oriented programming Familiarity with agile environments Proficient understanding of code versioning tools Good communication skills Job Types: Full-time, Permanent Pay: ₹200,000.00 - ₹300,000.00 per year Benefits: Food provided Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Morning shift Ability to commute/relocate: Saravanampatti, Coimbatore - 641035, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your current company notice period? Education: Bachelor's (Preferred) Experience: .NET: 1 year (Preferred)

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Responsibilities Translate application storyboards and use cases into functional applications Design, build, and maintain efficient, reusable, and reliable C# code Ensure the best possible performance, quality, and responsiveness of applications Help maintain code quality, organization, and automatization Skills Proficient in C#, with a good knowledge of its ecosystems Familiarity with the .NET framework Strong understanding of object-oriented programming Skill for writing reusable C# libraries Familiar with various design and architectural patterns Knowledge of concurrency patterns in C# Familiarity with Microsoft SQL Server Experience with popular web application frameworks, such as Nancy Familiarity with Windows Presentation Framework Knack for writing clean, readable C# code Understanding fundamental design principles behind a scalable application Creating database schemas that represent and support business processes Basic understanding of Common Language Runtime (CLR), its limitations, weaknesses, and workarounds Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools Familiarity with continuous integration Show more Show less

Job Description Production Specialist – Senior Associate/Team Lead - Kolkata/Chennai/Noida Job Title: Senior Associate/Team Lead - Production Specialist Location: Kolkata/Chennai/Noida Candidate Expectation Candidate must have 3 years of Experience in working with print vendors to ensure production quality and output. Candidate Must have Strong knowledge of print production, pre-press, file setup, and vendor communication. Familiarity with dielines, print finishes, bleeds, and mechanical setup Job Responsibilities Prepare and preflight production-ready print files according to printer specifications. Ensure dielines, cut marks, bleeds, and layout align with production and finishing standards. Troubleshoot and resolve technical issues related to print files and specifications. Collaborate with vendors, content admins, and project managers to ensure color accuracy, compression quality, and overall print integrity. Automate repetitive tasks and versioning workflows where possible to improve speed to market and reduce errors. Provide technical input and recommendations during project planning to anticipate production issues. Skills Required RoleProduction Specialist – Senior Associate/Team Lead - Kolkata/Chennai/Noida Industry TypeITES/BPO/KPO Functional Area Required Education B. Tech Employment TypeFull Time, Permanent Key Skills PRINTERS PRODUCTION SUPPORT Other Information Job CodeGO/JC/119/2025 Recruiter NameHemalatha Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

We are seeking a talented and motivated DevOps Engineer with strong expertise in Azure and AWS Cloud environments. This individual will be responsible for automating infrastructure provisioning, deployment pipelines, version control, and continuous integration/continuous deployment (CI/CD) processes. You will leverage your knowledge of ARM Templates, BiCep Templates, CloudFormation, and CDK to optimize and manage infrastructure. The ideal candidate will also be proficient in scripting and automation tools, such as Python and/or .NET, and have a strong understanding of versioning practices. Key Responsibilities: Design, implement, and manage infrastructure-as-code (IaC) using tools such as ARM Templates, BiCep Templates, AWS CloudFormation, and CDK (with Python or .NET). Develop and maintain CI/CD pipelines to automate code deployments and application updates on Azure and AWS Cloud platforms. Work closely with development, operations, and security teams to ensure seamless integration, automated testing, and smooth application deployment. Manage and provision cloud resources on Azure and AWS using native and third-party tools. Implement version control strategies to maintain source code and configuration in Git repositories. Monitor cloud environments for performance, security, and reliability, troubleshooting and resolving issues as they arise. Ensure cloud infrastructure is secure, compliant with organizational standards, and continuously optimized for cost-efficiency. Collaborate with cross-functional teams to enhance the deployment process and improve system reliability. Provide support and guidance for cloud infrastructure upgrades, scaling, and disaster recovery planning. Required Skills and Qualifications: Proven experience as a DevOps Engineer or similar role with a strong background in cloud platforms (Azure and AWS). Expertise in Infrastructure-as-Code (IaC) using tools such as ARM Templates, BiCep Templates, AWS CloudFormation, and CDK (Python and/or .NET). Strong experience with CI/CD pipelines and version control tools (Git, GitHub, GitLab, etc.). Proficiency in cloud automation and orchestration frameworks and tools. Experience working with Azure DevOps, Jenkins, Terraform, or similar CI/CD tools. Knowledge of scripting languages such as Python, Bash, or PowerShell. Understanding of containerization technologies such as Docker and orchestration tools like Kubernetes. Familiarity with monitoring tools and cloud resource management (e.g., Azure Monitor, AWS CloudWatch). Strong knowledge of cloud security best practices and governance. Excellent problem-solving, troubleshooting, and debugging skills. Familiarity with Agile and DevOps methodologies. Ability to work independently and collaborate effectively in a team-oriented environment. Preferred Skills: Experience with serverless architecture and platforms like AWS Lambda or Azure Functions. Knowledge of Microsoft PowerShell and Azure CLI. Exposure to database management in cloud environments (SQL, NoSQL, etc.). Experience with cloud cost management and optimization tools. Familiarity with GitOps principles. Show more Show less

Core data engineering tools and frameworks like Azure, Snowflake, DBT, Python, SQL, Git Solid data modelling and data management fundamentals at all levels to drive the ETL development lifecycle at all layers (conceptual, logical, physical) Git versioning practices for CI/CD DevOps alignment The ability to operate independently, take ownership, and provide mentorship within the team Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less