We are looking to hire a skilled WordPress developer to design and implement attractive and functional websites for our clients. You will be responsible for both back-end and front-end development including the implementation of WordPress themes and plugins as well as site integration and security updates. To be a successful WordPress developer, you should have in-depth knowledge of front-end programming languages, a good eye for aesthetics, and strong content management skills. Ultimately, a top-class WordPress developer can create attractive, user-friendly websites that perfectly meet the design and functionality specifications of the client. Required Skills Bachelor’s degree in computer science or a similar field. Proven work experience as a WordPress developer. Knowledge of front-end technologies including CSS3, JavaScript, HTML5, and jQuery. Knowledge of code versioning tools including Git, Mercurial, and SVN. Experience working with debugging tools such as Chrome Inspector and Firebug. Good understanding of website architecture and aesthetics. Ability to manage projects. Good communication skills. Responsibilities Designing and building the website front-end. Creating the website architecture. Designing and managing the website back-end including database and server integration. Generating WordPress themes and plugins. Conducting website performance tests. Troubleshooting content issues. Conducting WordPress training with the client. Monitoring the performance of the live website. Job Location : Rajkot, Gujarat Position : 02 Experience : 1yr – 2yr Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Schedule: Day shift Ability to commute/relocate: Rajkot, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: WordPress: 1 year (Required) Front-end development: 1 year (Required) Work Location: In person

Responsibilities: Develop and maintain server-side applications using NodeJS. Design and implement RESTful APIs and backend services. Ensure high performance, quality, and responsiveness of applications. Collaborate with front-end developers, designers, and product managers to integrate user-facing elements with server-side logic. Optimize applications for maximum speed and scalability. Participate in code reviews, write unit tests, and maintain high code quality standards. Troubleshoot and debug production issues as needed. Key Skills: Strong proficiency in JavaScript and NodeJS . Experience with ExpressJS or similar NodeJS frameworks . Proficiency in database technologies like MongoDB, MySQL, or PostgreSQL . Experience in writing RESTful APIs and working with third-party APIs . Good understanding of asynchronous programming and its quirks and workarounds. Familiarity with front-end technologies like HTML5 and CSS3 (basic understanding). Knowledge of code versioning tools such as Git . Show more Show less

We’re Hiring: MLOps Engineer (Azure) harshita.panchariya@tecblic.com Location: Ahmedabad, Gujarat Experience: 3–5 Years Employment Type : Full-Time * An immediate joiner will be preferred. Job Summary: We are seeking a skilled and proactive MLOps/DataOps Engineer with strong experience in the Azure ecosystem to join our team. You will be responsible for streamlining and automating machine learning and data pipelines, supporting scalable deployment of AI/ML models, and ensuring robust monitoring, governance, and CI/CD practices across the data and ML lifecycle. Key Responsibilities MLOps : Design and implement CI/CD pipelines for machine learning workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate model training, validation, deployment, and monitoring using tools such as Azure ML, MLflow, or KubeFlow. Manage model versioning, performance tracking, and rollback strategies. Integrate machine learning models with APIs or web services using Azure Functions, Azure Kubernetes Service (AKS), or Azure App Services. DataOps Design, build, and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure Data Factory, Synapse Pipelines, or Apache Airflow. Ensure data quality, lineage, and governance using Azure Purview or other metadata management tools. Monitor and optimize data workflows for performance and cost efficiency. Support batch and real-time data processing using Azure Stream Analytics, Event Hubs, Databricks, or Kafka. DevOps & Infrastructure Provision and manage infrastructure using Infrastructure-as-Code tools such as Terraform, ARM Templates, or Bicep. Set up and manage compute environments (VMs, AKS, AML Compute), storage (Blob, Data Lake Gen2), and networking in Azure. Implement observability using Azure Monitor, Log Analytics, Application Insights, and Skills : Strong hands-on experience with Azure Machine Learning, Azure Data Factory, Azure DevOps, and Azure Storage solutions. Proficiency in Python, Bash, and scripting for automation. Experience with Docker, Kubernetes, and containerized deployments in Azure. Good understanding of CI/CD principles, testing strategies, and ML lifecycle management. Familiarity with monitoring, logging, and alerting in cloud environments. Knowledge of data modeling, data warehousing, and SQL. Preferred Qualifications Azure Certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate, or Azure DevOps Engineer Expert). Experience with Databricks, Delta Lake, or Apache Spark on Azure. Exposure to security best practices in ML and data environments (e.g., identity management, network security). Soft Skills Strong problem-solving and communication skills. Ability to work independently and collaboratively with data scientists, ML engineers, and platform teams. Passion for automation, optimization, and driving operational excellence. harshita.panchariya@tecblic.com Show more Show less

Job Title: Python/Django Developer Location: Gandhinagar GIFT City Job Type: Full-Time (Hybrid) Experience: 3+ Years Job Summary We are seeking a skilled Python/Django Developer to join our team. The ideal candidate will be responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to front-end requests. You will also work closely with front-end developers to integrate user-facing elements into the application. A basic understanding of front-end technologies is required. Key Responsibilities Develop and maintain efficient, reusable, and reliable Python code. Design and implement low-latency, high-availability, and performant applications. Integrate user-facing elements developed by front-end developers with server-side logic. Ensure security and data protection standards are implemented. Integrate data storage solutions such as MySQL and MongoDB.Optimize applications for maximum speed and scalability. Collaborate with other team members and stakeholders to develop scalable solutions. Write unit and integration tests to ensure software quality. Debug and resolve application issues promptly. Maintain code integrity and organization using version control tools like Git. Key Requirements Proficiency in Python with hands-on experience in at least one web framework such as Django or Flask. Strong knowledge of Object Relational Mapper (ORM) libraries. Experience integrating multiple data sources and databases into one system. Understanding of Python’s threading limitations and multi-process architecture. Good understanding of server-side templating languages such as Jinja2 or Mako. Basic knowledge of front-end technologies like JavaScript, HTML5, and CSS3. Strong grasp of security and data protection best practices. Experience with user authentication and authorization across multiple systems, servers, and environments. Solid understanding of fundamental design principles for scalable applications. Experience with event-driven programming in Python. Ability to design and implement MySQL database schemas that support business processes. Strong unit testing and debugging skills. Proficiency in Git for code versioning and collaboration. Preferred Qualifications Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization tools like Docker. Knowledge of RESTful APIs and microservices architecture. Experience working in Agile development environments. Skills: google cloud,flask,mongodb,restful apis,azure,python scripting,orm tools,mysql,backend apis,backend development,docker,mako,python,aws,jinja2,database design,agile,css3,git,microservices,html5,django,javascript Show more Show less

Job Title: Python/Django Developer Location: Gandhinagar GIFT City Job Type: Full-Time (Hybrid) Experience: 3+ Years Job Summary We are seeking a skilled Python/Django Developer to join our team. The ideal candidate will be responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to front-end requests. You will also work closely with front-end developers to integrate user-facing elements into the application. A basic understanding of front-end technologies is required. Key Responsibilities Develop and maintain efficient, reusable, and reliable Python code. Design and implement low-latency, high-availability, and performant applications. Integrate user-facing elements developed by front-end developers with server-side logic. Ensure security and data protection standards are implemented. Integrate data storage solutions such as MySQL and MongoDB.Optimize applications for maximum speed and scalability. Collaborate with other team members and stakeholders to develop scalable solutions. Write unit and integration tests to ensure software quality. Debug and resolve application issues promptly. Maintain code integrity and organization using version control tools like Git. Key Requirements Proficiency in Python with hands-on experience in at least one web framework such as Django or Flask. Strong knowledge of Object Relational Mapper (ORM) libraries. Experience integrating multiple data sources and databases into one system. Understanding of Python’s threading limitations and multi-process architecture. Good understanding of server-side templating languages such as Jinja2 or Mako. Basic knowledge of front-end technologies like JavaScript, HTML5, and CSS3. Strong grasp of security and data protection best practices. Experience with user authentication and authorization across multiple systems, servers, and environments. Solid understanding of fundamental design principles for scalable applications. Experience with event-driven programming in Python. Ability to design and implement MySQL database schemas that support business processes. Strong unit testing and debugging skills. Proficiency in Git for code versioning and collaboration. Preferred Qualifications Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization tools like Docker. Knowledge of RESTful APIs and microservices architecture. Experience working in Agile development environments. Skills: google cloud,flask,mongodb,restful apis,azure,python scripting,orm tools,mysql,backend apis,backend development,docker,mako,python,aws,jinja2,database design,agile,css3,git,microservices,html5,django,javascript Show more Show less

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Innovation & Technology Job Number: WD30240361 Job Description Job Title: ML Platform Engineer – AI & Data Platforms ML Platform Engineering & MLOps (Azure-Focused) Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on automation, security, and scalability. Develop and manage infrastructure as code using Terraform, including provisioning compute clusters (e.g., Azure Kubernetes Service, Azure Machine Learning compute), storage, and networking. Implement robust model lifecycle management (versioning, monitoring, drift detection) with Azure-native MLOps components. Infrastructure & Cloud Architecture Design highly available and performant serving environments for LLM inference using Azure Kubernetes Service (AKS) and Azure Functions or App Services. Build and manage RAG pipelines using vector databases (e.g., Azure Cognitive Search, Redis, FAISS) and orchestrate with tools like LangChain or Semantic Kernel. Ensure security, logging, role-based access control (RBAC), and audit trails are implemented consistently across environments. Automation & CI/CD Pipelines Build reusable Azure DevOps pipelines for deploying ML assets (data pre-processing, model training, evaluation, and inference services). Use Terraform to automate provisioning of Azure resources, ensuring consistent and compliant environments for data science and engineering teams. Integrate automated testing, linting, monitoring, and rollback mechanisms into the ML deployment pipeline. Collaboration & Enablement Work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features. Contribute to solution architecture for real-time and batch AI use cases, including conversational AI, enterprise search, and summarization tools powered by LLMs. Provide technical guidance on cost optimization, scalability patterns, and high-availability ML deployments. Qualifications & Skills Required Experience Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 5+ years of experience in ML engineering, MLOps, or platform engineering roles. Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps. Proven experience managing infrastructure as code with Terraform in production environments. Technical Proficiency Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience in Bash or PowerShell. Experience with Docker and Kubernetes, especially within Azure (AKS). Familiarity with CI/CD principles, model registry, and ML artifact management using Azure ML and Azure DevOps Pipelines. Working knowledge of vector databases, caching strategies, and scalable inference architectures. Soft Skills & Mindset Systems thinker who can design, implement, and improve robust, automated ML systems. Excellent communication and documentation skills—capable of bridging platform and data science teams. Strong problem-solving mindset with a focus on delivery, reliability, and business impact. Preferred Qualifications Experience with LLMOps, prompt orchestration frameworks (LangChain, Semantic Kernel), and open-weight model deployment. Exposure to smart buildings, IoT, or edge-AI deployments. Understanding of governance, privacy, and compliance concerns in enterprise GenAI use cases. Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is a plus.

Who are we Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing. Job Summary: We are seeking a skilled and innovative Azure AI Engineer to design, build, and deploy intelligent applications and solutions using Microsoft Azure AI services. The ideal candidate will have a strong background in machine learning, natural language processing, and cloud-native architectures, with a focus on leveraging Azure’s AI and Machine Learning capabilities to solve real-world problems. Key Responsibilities: Design and develop AI solutions using Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, and other Azure-based tools. Implement and deploy machine learning models, NLP models, and computer vision solutions in a scalable and secure Azure environment. Collaborate with data scientists, software developers, and DevOps teams to integrate AI services into applications and business workflows. Monitor, evaluate, and improve model performance using tools like Azure ML, MLflow, and responsible AI dashboards. Ensure solutions comply with data privacy, ethical AI, and security standards. Automate and optimize ML pipelines using Azure ML Pipelines and DevOps integration. Stay updated on new Azure AI features and best practices, and recommend improvements. Requirements Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of hands-on experience with Microsoft Azure, especially in AI/ML services. Proficiency in Python, Azure SDKs, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with Azure Machine Learning Studio, Data Factory, Blob Storage, and Azure Functions. Familiarity with REST APIs, containers (Docker), and CI/CD pipelines. Strong understanding of data preprocessing, feature engineering, model deployment, and monitoring. Preferred Qualifications: Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect certification. Experience with Azure OpenAI, ChatGPT, or large language models. Exposure to Responsible AI principles and tools. Knowledge of MLOps, model versioning, and A/B testing in production environments. Benefits Work with stakeholders to identify automation opportunities and tailor solutions to business needs. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Experience with data analysis tools and techniques to uncover insights and optimize models. Microsoft Azure AI certification will be Big Plus Job Opening ID RRF_5394 Job Type Permanent Industry IT Services Date Opened 12/06/2025 City Pune City Province Maharashtra Country India Postal Code 411057

IMEA (India, Middle East, Africa) India LIXIL INDIA PVT LTD Employee Assignment Hybrid Full Time 30 June 2025 About This Role We at LIXIL are seeking a skilled and experienced Sitecore Developer to join our global team. You will play a key role in developing and maintaining a decoupled front-end applications using Next.js on Vercel, integrated with the latest Sitecore XM Cloud SaaS solution. A strong understanding of Storybook.js for UI component development and testing is essential. You will collaborate closely with our global cross-functional team, including UX/UI designers, further experts, internal / external developers, and content managers, to deliver cutting-edge web applications that provide seamless user experiences. Key Responsibilities You contribute to the development and maintenance of our Web applications, with a focus on building scalable, high-performance solutions Build and manage a decoupled front-end architecture using Next.js to deliver seamless user experiences. Leverage Storybook.js to build, test, and document reusable UI components. Work closely with UX/UI designers to translate mockups and wireframes into interactive and responsive front-end interface modules, based on Next.js You secure dynamic cross-browser compatibility and mobile responsiveness across multiple platforms. Implement and optimize integrations with leading integrations solutions to Sitecore’s (XM) Cloud for dynamic content management. Collaborate with backend developers to create scalable APIs and services to power the front-end. Participate in code reviews, unit testing, extending test-automation via cypress.io, and ensure code quality by following best practices. Stay updated with the latest front-end technologies and frameworks and continuously improve the codebase. Required Qualification Technical Expertise: 3+ years of experience in a role working with Sitecore (preferably with Sitecore XM Cloud or comparable setup). Strong expertise in Sitecore, including headless architecture, Sitecore JSS, and integrations Experience with Next.js and its ecosystem (Vercel App, Node.js, API integration) Track record of working on SSR (Service-Side-Rendering) / SSG (Static-Site-Generation) applications Experience with Sitecore XM Cloud, including page/content modeling, integration with APIs, and component-driven development. Strong experience with Storybook.js for building, testing, and documenting front-end components. Hands-on experience with JavaScript/TypeScript, HTML, CSS, and front-end technologies. Familiarity with Headless CMS architecture and decoupled development approaches. Understanding of RESTful APIs and integration with backend services. Experience working in Agile environments with tools like JIRA, Git, Confluence, etc. Familiarity with CI/CD pipelines, unit testing frameworks, and code versioning tools. Solid understanding of test automation approaches and tools e.g. like cypress.io or comparable Strong communication and collaboration skills, Show more Show less

Primary Skills Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 5-7 years of experience as a Python developer, with a focus on Product development (BE+FE development). Hands on experience in Angular Js. Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. Python- FastAPI (Flask/Django) API Development (RESTful Services) Cloud Platforms - Google Cloud Platform (GCP)prefferd. Familiarity with database management systems- PostgreSQL, MySQL, MongoDB and ORMs (e.g.,SQLAlchemy, Django ORM). Knowledge of CI/CD pipelines - Jenkins, GitLab CI, CircleCI Frontend Development - JavaScript, Angular Code Versioning - Git Testing - Unit & Integration Testing Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. Secondary Skills Monitoring Tools - Prometheus, Grafana, Datadog Security and Compliance Standards - GDPR, PCI, Soc2 DevOps Collaboration UX/UI Collaboration for Angular components Experience with asynchronous programming (e.g., asyncio, Aiohttp). Experience with big data technologies like Spark or Hadoop. Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plus (ref:hirist.tech) Show more Show less

Role : Senior React Js Developer YOE : 1- : Coimbatore, Tamil Nadu Full Job Description Mallow Technologies is a custom software development company, and we have experts covering a wide variety of the latest software development domains. We take pride in delivering high-quality mobile and web applications based on client needs. We deliver high-quality solutions that drive business growth, combining innovation, expertise, and exceptional user experiences. Skills Mallow Technologies seeks a skilled Senior React.js Developer with over 3 years of experience to design, build, and maintain efficient, scalable web applications while mentoring junior developers. The ideal candidate will possess strong frontend skills and a commitment to best practices and code have : Comprehensive knowledge of HTML, CSS (SASS / LESS), JavaScript, Typescript. Have strong knowledge in React, Redux, Next.js, JSX, and ES6, with experience working with modern UI frameworks and component libraries. Backend integration using HTTP REST-based API, with a strong understanding of synchronous/asynchronous request handling. Proficient understanding of code versioning tools Git. Experience with common libraries such as Redux-Saga, Styled Components. Design, build and maintain efficient, reusable, and reliable react code. Should adhere to best practices in ReactJS. Identify bottlenecks and bugs, and devise solutions to the problems. Writing test cases for react component rendering, unit and E2E. Possess prior experience in creating applications with compatibility for both browsers and various devices. Capable of Independently Designing an application. Conceptualizing ideas, taking mockups, and converting them into a pixel-perfect web interface. Good understanding of agile software development life cycle processes. Experience in mentoring and guiding junior developers, performing code reviews, and providing feedback to improve their skills. Good To Have Experience in monitoring and improving application performance will be a plus. Web app performance improvements (Page speed, GTMetix, Webpage test). Being familiar with deployments using AWS will be a plus. Familiar with ESLint, PWA. Job Type : : Cell phone reimbursement Flexible schedule Health insurance Paid sick time Provident Fund Work from : Day shift Monday to : 6 months - 4 years (Preferred) (ref:hirist.tech) Show more Show less

As Relyance AI’s Technical Product Manager - Core Platform , you will help bring new products and improve existing foundational product offerings at Relyance AI. This role demands a deep understanding of system architecture, platforms and the evolving data security, privacy, and the AI landscape that addresses critical customer challenges. You’ll lead efforts to build new platform features and improve existing core services that serve as the backbone of our product suite. This role requires you to think critically and craft products with first principles. You will work closely with cross-functional teams, including Engineering, Customer Success, Sales, and Legal, to deliver high-quality, impactful products that empower our customers to protect their data and ensure compliance. As a Technical Product Manager, your role will include: Building and evolving foundational platform capabilities, such as common services, ingress/egress layers, telemetry pipelines, identity and access primitives, and developer-facing APIs that power all Relyance AI products. Deeply understand user needs by engaging with customers, mapping workflows, identifying pain points, and aligning on desired outcomes. Drive cross-functional collaboration by acting as the connective tissue between engineering, design, GTM, and leadership to ensure initiatives align with company priorities and timelines. Own end-to-end product lifecycle, from discovery and ideation to scoping, execution, launch, and iteration, especially for complex, technical platform features. Bringing structure to ambiguity by translating high-level strategy, OKRs, and stakeholder goals into clear product specs and prioritized backlogs. Measuring product success metrics and telemetry determined on value delivered, usage, and customer satisfaction. This role could be a fit for you if you bring: Have 3+ years of product management experience, including shipping technical products (e.g., APIs, platforms, infrastructure). Have directly interfaced with customers—whether through roadmap discussions, feedback loops, or support escalations—and thrive on turning their needs into platform capabilities. Have deep familiarity with APIs, developer platforms, and integrations, including authentication models (OAuth, API keys etc.), versioning strategies, and standard architectural patterns (REST, event-driven, etc.). B2B SaaS experience, technical fluency, and an ability to understand modern software systems (microservices, APIs, client-server architecture, etc.) to help drive strategic and technical discussions. Excellent written and verbal communication skills for articulating product requirements, customer challenges, and GTM messaging. This role will require the ability to effectively convey complex product ideas and strategies to a range of stakeholders, including executives, engineering, GTM, and end-users. Ability to wear many hats and pivot based on company needs. Excitement about taking on new and varied responsibilities in a fast-growing, dynamic organization. Bonus points for: Experience working with cloud data ecosystems such as Amazon S3, Google Cloud Storage, Snowflake, BigQuery, or similar platforms. Experience with security tools, standard security practices for sensitive data protection, and frameworks (e.g., NIST, etc.) Experience with data privacy regulations (like GDPR, CPRA, etc.), security practices and frameworks, or data governance. Experience with python, Java, Go, or Ruby. Experience with Machine Learning or AI. Bringing curiosity and a growth mindset to the work you do. Who are we? At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. Show more Show less

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace – bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations – including AAA, the NHS, Penske, and Moderna – trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com. Job Title: Quality Engineer (QE) / Software Development Engineer in Test (SDET) Overview Simpplr is looking for a Quality Engineer or SDET who sees quality as an integrated part of the engineering process. You will be part of a cross-functional product team, contributing from story grooming to release. Your role will include building test frameworks, validating assumptions early, and ensuring a fast and reliable delivery pipeline. This is a hands-on engineering position focused on building quality into every layer of the stack. Join us in shaping the future of employee experience through a modern intranet platform used by leading enterprises across the globe. What You'll Do Engineer quality across the lifecycle Participate in requirement discussions and define test strategies alongside product managers and developers Influence design and architecture with a quality-first mindset Plan testing early and build the necessary tools and automation to validate continuously Build scalable test systems Design and maintain automation frameworks using Selenium, Cucumber BDD, and JUnit or TestNG Set up pre-merge validations and test environments that mirror production Automate end-to-end flows, component-level tests, and API validations that are fast and reliable Leverage data to drive quality Implement observability and build dashboards to track key quality indicators Collaborate with engineering and product to co-own and act on quality metrics Continuously improve test coverage and reduce escape rates through data-backed insights Integrate with CI/CD workflows Embed tests within GitHub workflows or Jenkins pipelines Create fail-fast mechanisms to catch issues before deployment Champion modern practices like contract testing, test data versioning, and environment stability Collaborate across disciplines Engage in sprint planning, backlog grooming, and technical design discussions Work closely with developers, infrastructure engineers, and data teams Coach junior engineers and help foster a culture of engineering excellence Core Qualifications What We're Looking For 3 to 5 years of experience in quality engineering or SDET roles Strong coding skills in JS, playwright and experience with frameworks like Cucumber BDD, JUnit, or TestNG Hands-on experience for UI testing and tools like Postman, RestAssured, or JMeter for API testing Experience integrating tests into CI/CD pipelines such as GitHub Actions or Jenkins Ability to build test strategies, manage test data, and debug across the full stack Personal attributes Ownership mindset with a focus on proactive problem solving Excellent collaboration and communication skills Comfortable working in fast-paced product environments Bonus points Experience with performance or security testing Exposure to microservices or cloud-native testing approaches Certifications such as ISTQB or agile quality credentials Simpplr’s Hub-Hybrid-Remote Model At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met. Show more Show less

Experience : 5.00 + years Salary : INR 1500000-2000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid (Ahmedabad) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Inferenz) What do you need for this opportunity? Must have skills required: ML model deployment, MLOps, Monitoring Inferenz is Looking for: Job Description: Position: Sr. MLOps Engineer Location: Ahmedabad, Pune Required Experience: 5+ Years of experience Preferred: Immediate Joiners Job Overview: Building the machine learning production infrastructure (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. We are looking for a highly skilled MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports the deployment, monitoring, and scaling of machine learning models in production. You will work closely with data scientists, software engineers, and DevOps teams to ensure seamless integration of machine learning models into our production systems. The job is NOT for you if: You don’t want to build a career in AI/ML. Becoming an expert in this technology and staying current will require significant self-motivation. You like the comfort and predictability of working on the same problem or code base for years. The tools, best practices, architectures, and problems are all going through rapid change — you will be expected to learn new skills quickly and adapt. Key Responsibilities: Model Deployment: Design and implement scalable, reliable, and secure pipelines for deploying machine learning models to production. Infrastructure Management: Develop and maintain infrastructure as code (IaC) for managing cloud resources, compute environments, and data storage. Monitoring and Optimization: Implement monitoring tools to track the performance of models in production, identify issues, and optimize performance. Collaboration: Work closely with data scientists to understand model requirements and ensure models are production ready. Automation: Automate the end-to-end process of training, testing, deploying, and monitoring models. Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines for machine learning projects. Version Control: Implement model versioning to manage different iterations of machine learning models. Security and Governance: Ensure that the deployed models and data pipelines are secure and comply with industry regulations. Documentation: Create and maintain detailed documentation of all processes, tools, and infrastructure. Qualifications: 5+ years of experience in a similar role (DevOps, DataOps, MLOps, etc.) Bachelor’s or master’s degree in computer science, Engineering, or a related field. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) Strong understanding of machine learning lifecycle, data pipelines, and model serving. Proficiency in programming languages such as Python, Shell scripting, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.). Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) Experience with CI/CD tools like Jenkins, GitLab CI, or similar Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) Strong software engineering skills in complex, multi-language systems Comfort with Linux administration Experience working with cloud computing and database systems Experience building custom integrations between cloud-based systems using APIs Experience developing and maintaining ML systems built with open-source tools Experience developing with containers and Kubernetes in cloud computing environments Familiarity with one or more data-oriented workflow orchestration frameworks (MLFlow, KubeFlow, Airflow, Argo, etc.) Ability to translate business needs to technical requirements Strong understanding of software testing, benchmarking, and continuous integration Exposure to machine learning methodology and best practices Understanding of regulatory requirements for data privacy and model governance. Preferred Skills: Excellent problem-solving skills and ability to troubleshoot complex production issues. Strong communication skills and ability to collaborate with cross-functional teams. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack). Knowledge of database systems (SQL, NoSQL). Experience with Generative AI frameworks Preferred cloud-based or MLOps/DevOps certification (AWS, GCP, or Azure) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Us: Solytics Partners provide products and services to BFSI and Healthcare firms. We use AI/ML&cutting-edge technology to develop next generation solutions or provide efficient services. We have a strong team of PHDs in AI/ML and experts in BFSI, and healthcare industry. Our regulatory compliantsolutions and servicesenable leading corporations and institutions to create and sustain competitive advantage. Job Summary: The role of a Functional Business Analyst in the Model Validation Unit is to translate complex business concepts into system and process requirements that align with regulatory standards and organizational priorities. This includes ensuring smooth implementation of IT-enabled solutions, providing post-go-live and BAU support, and helping create a robust governance framework for the end-to-end lifecycle of models used in the bank. Key Responsibilities: Functional Areas Model Inventory Management: Build and maintain a comprehensive inventory of all models used within the bank, detailing their objectives, data sources, and stakeholders. Validation Framework & Workflow Implementation: Develop and manage standardized workflows for model validation, incorporating rigorous testing and multi-stage approvals. Performance Monitoring & Issue Tracking: Enable real-time monitoring of model performance, flagging anomalies and tracking resolution progress with proper reporting. Documentation & Central Repository Management: Set up a central repository to store model-related documentation, historical data snapshots, and validation reports. Version Control & Auditability: Ensure proper versioning of models with detailed logs to support traceability, audits, and governance. Collaboration Platform: Provide a unified platform for seamless collaboration between data scientists, engineers, and business teams during the model lifecycle. Transparency & Regulatory Compliance: Maintain audit trails and ensure all model-related activities comply with internal and external regulatory requirements. Business Analyst Responsibilities Requirement Analysis & Process Design: Capture business requirements accurately, design TO-BE processes, and eliminate redundancies to ensure cost-effective and efficient solutions. Functional Solution Definition: Collaborate with vendors to define and finalize functional solutions that align with business needs and regulatory expectations. Quality Management & Delivery Certification: Manage UAT processes, prepare comprehensive test plans, and ensure bug-free, high-quality releases with appropriate system and operational controls. Production & BAU Support: Provide ongoing functional support, analyze production issues, manage enhancements, bug fixes, UAT, deployment, and reporting. Key Requirements: 4 to 8 years of experience, ideally with exposure to: Model Governance / Validation workflows Credit/Market Risk Models Workflow-driven applications and Data Lake systems Banking applications with regulatory and risk focus Strong analytical, documentation, and communication abilities Understanding of banking domains: Credit Risk, Market Risk, Rating Models Experience with platforms like IBM Cloud Pak for Data, Solytics Nimbus (preferred) Familiarity with tools like Autosys, TNG Vendor coordination and delivery management Knowledge of SDLC, STLC, project management, and performance testing concepts Show more Show less

AI / Generative AI Engineer Location: Remote ( Pan India ) Job Type: Fulltime NOTE: "Only immediate joiners or candidates with a notice period of 15 days or less will be considered" Overview: We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies. This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform - GCP, Amazon Web Services - AWS) and/or modern data platforms (Databricks, Snowflake) . You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences. Key Responsibilities: Design and Development: Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models - LLMs, diffusion models). Develop and implement algorithms for tasks such as natural language processing (NLP) , text generation, image synthesis, speech recognition, and forecasting. Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG) , and evaluating their performance. Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity. Platform Expertise: Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini) , AWS (e.g., SageMaker, Bedrock, S3 ), Databricks, and/or Snowflake to build and deploy solutions. Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s). Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem. MLOps and Productionization: Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management. Deploy models into production environments and ensure their performance, scalability, and reliability. Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization. Collaboration and Innovation: Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows. Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies. Lead and participate in the ideation and prototyping of new AI applications and systems. Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness. Documentation and Communication: Create and maintain comprehensive technical documentation for AI models, systems, and processes. Effectively communicate complex AI concepts and results to both technical and non-technical audiences. Required Qualifications: 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture. 3+ years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformer s), and statistical modeling. Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models ( LLMs like GPT, BERT, LLaMA, etc .). Proficiency in using common A I/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc. Demonstrable experience with at least one of the following cloud/data platforms: GCP: Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services . AWS: Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services . Databricks: Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform , including MLflow. Snowflake: Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads , and Snowpark. Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines. Knowledge of MLOps tools and practices for model deployment, monitoring, and management. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Show more Show less

Job Summary Key responsibilities ¿ Coaching and improvement o Identify delivery bottlenecks and inefficiencies in the API development lifecycle. o Coach developers on industry standard best practices for API design, testing, and deployment. o Introduce tooling, patterns, and accelerators (e.g., code templates, automation scripts, API governance practices). ¿ Requirement gathering & Design o Collect and translate business requirements into clear detailed designs o Design robust, scalable, and reusable APIs and integration patterns (e.g., REST, GraphQL, event driven architecture). ¿ Hands On Leadership o Contribute to code reviews & quality, proofs of concept, and development where necessary o Provide deep technical mentorship to uplift the team's capabilities ¿ Quality & Governance o Promote API versioning, documentation standards (e.g., OpenAPI/Swagger), and security practices (OAuth, rate limiting, etc.). o Help establish or improve automated quality gates, testing, and CI/CD workflows for APIs. Requirements: ¿ Excellent leadership, communication, and coaching skills. ¿ Proven experience (10+ years) in API development, especially in enterprise integration contexts involving SAP & eCommerce (like Adobe Commerce Cloud) platforms. Show more Show less

Job Description About Advance Auto Parts Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day. About AAP Global Capability Centre We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The AAP Global Capability Center, located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration. About Information Technology At Advance Auto Parts, the IT organization is embracing the digitization of retail and working to transform our organization as a leader in the modern age of retail. We are leading the way with DevOps, thinking cloud-first, and adopting modern approaches to infrastructure management. We realize Agile is more than a manifesto, and that applications need to be portable, event and service-oriented, and support a data analytics and data-first culture of the modern business. We are taking action to transform a 75-year-old company to be an industry leader in building a best-in-class omnichannel experience for its customers. We value and cultivate our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse. You will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise capabilities across Advance Auto Parts. What is the job about? Part of a high performing team that focuses on giving an excellent user experience for an e-commerce storefront by collaborating with product owners, architects, backend platform teams and meets a high delivery commitment rate. Experience & Expertise Requirements 6+ years of experience 4+ years of experience in React in Web application development 6+ years of experience with HTML5, modern CSS (Flexbox, Grid, responsive design, etc.) Proficient in JavaScript (ES6+) including DOM manipulation, event model, and browser APIs Strong understanding of Typescript, its nuances, and patterns for scalable codebases. Experience with modern frameworks like React and Next.js 5+ years of experience with Responsive Web Design utilizing libraries like Styled Components, Emotion, Tailwind, Bootstrap, MUI Familiarity with packaging and build tools such as pnpm, npm, yarn, node, webpack, swc, babel, vite, parcel, tsc Familiarity with SEO (Search Engine Optimization) trends and implementation Thorough understanding of React.js and its core principles Experience with server-side frameworks like Next.js or Remix Experience with popular React.js state management libraries such as Redux Toolkit, Tanstack Query, Zustand, Recoil, Jotai Familiarity with RESTful APIs Familiarity with modern front-end build pipelines and tools – Bitbucket, Git, Jenkins Ability to understand business requirements and translate them into technical requirements Familiarity with code versioning tools Ability to diagnose and fix bugs and performance bottlenecks Experience with observability tools such as New Relic or Datadog for monitoring performance, tracing, and logging Strong understanding Core Web Vitals and best practices to improve metrics like LCP, INP, and CLS Maintain code and write automated tests using Jest and React Testing Library to ensure the product is of the highest quality Rock solid at working with third-party dependencies and debugging dependency conflicts Bachelor’s degree in computer science preferred. Roles & Responsibilities Develop and maintain user-facing features using React.js Build reusable components and front-end libraries for future use Translate designs and wireframes into high quality code Optimize components for maximum performance across a vast array of web-capable devices & browsers Collaborate with UI/UX designers, product owners, architects, and backend developers to improve usability Write clean, scalable & maintainable code along with maintaining documentation of code & technical processes Participate in code reviews, testing and debugging Stay up to date with emerging trends and technologies in front-end development California Residents Click Below For Privacy Notice https://jobs.advanceautoparts.com/us/en/disclosures We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. 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Bangalore, Karnataka, India Working as a member of Database Administrator (DBA) team, the DBA will be responsible for SQL Server Installations, Configurations, High Availabilities, performance tuning, troubleshooting, security management, Migrations and Upgradations of different database platforms in on-prem and cloud systems for all applications under AXA XL. What You’ll Be DOING What will your essential responsibilities include? Installing and configuring Microsoft SQL Server instances in a stand-alone, clustered and Always On environments along with database replication and mirroring configuration. Experience of migrating databases to Azure SQL DB, Azure SQL DW, Azure SQL Managed Instance. Assisting with SQL Server Assessment\Planning\Migration\Upgrades\Automation\Performance Tuning, etc. Troubleshooting, planning migration strategy and DR planning of SSAS\SSIS\SSRS. SQL DB Automation for DB Deployments working with PowerShell, ARM Templates, etc. using DB Versioning tools like Azure DevOps SSDT etc. Good in TSQL scripting and commands. Expertise in database troubleshooting, performance tuning, query tuning of SQL\T-SQL, partitioning, file group. Implementation and design database Indexes for high performance, as part of the migration\upgrade activities. Work self-directedly and in coordination with other application developers to investigate, analyze and resolve issues. Work with internal technical resources on project implementations and to resolve business and technical issues. Developing, managing, testing and implementing database back-up, recovery and maintenance plans. Performing database capacity management, handling database incidents and finding root cause analysis. Recovering databases during Disaster Recovery testing and incidents. Liaising with Project Managers, Developers, Application Support, Release, infrastructure teams to ensure database integrity, security and performance. You will report to GT SDC DBA Lead. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Relevant years of Experience as SQL Database Administrator. Experience in designing, implementing and managing High Availability database solutions. Hands-On experience working in Azure. Expertise in producing technical documentation. Exposure in migrating existing SQL Server (on-premises) data loads to Cloud (Azure) & on-prem to on-prem. Expert knowledge of SQL scripting \ programming. Prior work experience with performance tuning, query plan analysis, and indexing. Knowledge of database auditing and performance monitoring solutions. Understanding of Azure Network, Security groups, Load balancing, Storage layers. Excellent working knowledge of IT Operations and support organizations would be an advantage. Ability to work self-directedly with less supervision is required. Experience doing backups & restores using SQL Commvault is a plus. Knowledge of ITIL processes and tools like Service now, SILVA, JIRA. Having Microsoft Certification is a plus. Desired Skills And Abilities Comprehensive knowledge of DBMS. Able to organize self and others including effective scheduling, prioritization and time management skills, completing tasks to tight deadlines. Demonstrates a ‘can do’ attitude. Proven track record of knowing what it takes to provide a consistently first-class customer service internally and/or externally. Ability to build effective working relationships (Internally/Externally), establishing credibility amongst a wide and demanding client group. Comfortable taking ownership for own work, identifying the need for action (using initiative) whilst working effectively within a team. Who WE Are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What we OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential. It’s about helping one another — and our business — to move forward and succeed. Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe. Robust support for Flexible Working Arrangements Enhanced family-friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer. Total Rewards AXA XL’s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do. We’re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence. Sustainability At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations. Our Pillars Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We’re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans. Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions. Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We’re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting. AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL’s “Hearts in Action” programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving. For more information, please see axaxl.com/sustainability. Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview: We are looking for a Backend Engineer who can architect and build scalable, performant, and secure APIs and services. You’ll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure — and knows how to build reliable systems that scale. Responsibilities: Design, build, and maintain robust, scalable RESTful or GraphQL APIs Architect systems with clear data models and clean separation of concerns Optimize database performance through effective indexing, query tuning, and caching strategies Implement security best practices including authentication, authorization, rate limiting, and input validation Write unit, integration, and end-to-end tests to ensure system correctness and reliability Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast Troubleshoot performance bottlenecks, memory leaks, and outages in production environments Required Skills: Proficiency in one or more backend languages: Node.js (JavaScript/TypeScript), Python, Java, or Go Experience with backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases Expertise in API design, including REST, GraphQL, pagination, versioning, and error handling Familiarity with authentication protocols: JWT, OAuth2, session handling Solid grasp of security principles: XSS, CSRF, SQL Injection, secure password handling Experience with Docker for containerization and deploying microservices Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues Working knowledge of Git workflows and code review practices Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI Nice to Have: Experience with cloud platforms: AWS (EC2, S3, RDS, Lambda), GCP, or Azure Familiarity with Kubernetes or container orchestration for service scaling Hands-on with monitoring/logging tools: Prometheus, Grafana, ELK stack, Datadog, Sentry Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events Prior work on serverless architectures using AWS Lambda or GCP Functions Basic experience working with ETL pipelines or streaming data Integration experience with GenAI/ML inference layers is a plus Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline Equivalent practical experience or contributions to open-source backend projects are also considered Show more Show less

We are looking for a Senior Frontend Engineer who excels at building high-performance, scalable, and user-friendly interfaces. You will be responsible for developing new software products, solving complex technical challenges, and delivering high-quality, maintainable front-end code. This role requires a deep understanding of modern frontend technologies, with a strong focus on ReactJS, along with leadership and collaboration skills. you will be responsible for - Developing new user-facing features using ReactJS, ensuring a smooth and responsive user experience. Building reusable components and front-end libraries for future use. Translating designs and wireframes into high-quality, efficient code. Optimizing components for maximum performance across a wide array of web-capable devices and browsers. Collaborating with UI/UX designers and backend developers to improve usability and design. Staying up-to-date with the latest industry trends and technologies, ensuring the application adheres to best practices. Writing clear, maintainable, and testable code. Mentoring junior engineers, conduct knowledge-sharing sessions, and contribute to the hiring process. Working with product managers and stakeholders to define project requirements and break down complex problems into manageable tasks. Ensuring timely delivery of project milestones, maintaining high-quality standards. Maintaining a focus on performance, scalability, and SEO optimization. what you need – Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. 4+ years of experience in software development, with extensive expertise in ReactJS and its core principles. Strong proficiency in Javascript, including DOM manipulation and CSSOM. In-depth knowledge of modern front-end development practices, including state management libraries (such as Redux or Flux). Experience with RESTful APIs and frontend build pipelines and tools. Familiarity with modern authorization mechanisms (e.g., JSON Web Tokens). Proficiency in code versioning tools, such as Git. Strong problem-solving, communication, and leadership skills. Ability to work independently, take ownership of features from design to production, and collaborate with cross-functional teams. Solid understanding of SEO principles and ensuring frontend applications adhere to them. Experience with responsive and adaptive design, ensuring compatibility across different devices and browsers . bonus points for – Experience with TypeScript. Familiarity with modern front-end build tools and methodologies. Understanding of Agile development methodologies. what you get – Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. . about us — We are Proximity — a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Here’s a quick guide to getting to know us better... You can visit our website Proximity.tech and: Watch our CEO, Hardik Jagda, tell you all about Proximity. Read about Proximity’s values and meet some of our Proxonauts. Explore our website, blog, and the design wing — Studio Proximity. Get behind-the-scenes with us on Instagram! Follow @ProxWrks and @H.Jagda Show more Show less

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. React Strong exp on Javascript, HTML and CSS, Expertise in React design patterns (HOCs, render props, compound components). Strong understanding of React performance optimization techniques. In-depth experience with state management tools (Redux Saga, Zustand, or similar). Knowledge of advanced React concepts like server-side rendering (Next.js) or static site generation. Familiarity with TypeScript in React projects. Proficient in writing maintainable CSS (CSS-in-JS, SCSS, Styled-Components). Java In-depth knowledge of Java concurrency, collections, and design patterns. Extensive experience with Spring Framework, especially Spring Boot, Spring Security, and Spring Cloud for developing microservices. Ability to implement scalable, secure, and high-performance RESTful APIs Proficiency in advanced testing techniques and frameworks, including BDD/TDD with JUnit, TestNG, and Mockito. Others Knowledge of Agile development processes and team collaboration tools (JIRA, Confluence). Exposure to cloud-native architectures and serverless computing. Code versioning: Version control systems (Git), Familiar with unit testing frameworks like Jest, Mocha and Enzyme. Hands on experience on Monitoring and Logging tools. Commitment to continuous learning and staying updated with industry trends, tools, and technologies. Show more Show less

Job Description Proficiency in Angular v16+, Angular lifecycle hooks, and reactive forms. Strong command over HTML, CSS, JavaScript, TypeScript. Experience with Angular Material UI Component Library. Knowledge of Angular Signals, Services, and Dependency Injection. Familiarity with JEST for unit testing. Deep understanding of Subjects, Observables, and Change Detection. Strong grasp of Flexbox and responsive UI design principles. Good knowledge of RESTful API integration. Competency in using Node.js and NPM Knowledge in Git based workflows and code versioning tools Develop and maintain user interfaces using Angular v16+ with Angular Material. Implement UI components using HTML, CSS, JavaScript, and TypeScript. Create and execute unit tests using JEST to ensure code quality. Integrate frontend with RESTful APIs. Leverage Angular Reactive Forms, lifecycle hooks, and Signals effectively. Utilize Flexbox layouts to build responsive designs. Apply Angular services and dependency injection for clean architecture. Work with Subjects and Observables to manage asynchronous data. Handle common JS utilities for object merging, packing, and unpacking. Ensure optimal change detection strategies for performance. Contribute to continuous integration pipelines via Node.js and NPM. Collaborate in AgileScrum environments with cross-functional teams. Angular v16 HTML, CSS, JavaScript, and TypeScript Angular Reactive Forms Unit tests using JEST Show more Show less

Job Description Proficiency in Angular v16+, Angular lifecycle hooks, and reactive forms. Strong command over HTML, CSS, JavaScript, TypeScript. Experience with Angular Material UI Component Library. Knowledge of Angular Signals, Services, and Dependency Injection. Familiarity with JEST for unit testing. Deep understanding of Subjects, Observables, and Change Detection. Strong grasp of Flexbox and responsive UI design principles. Good knowledge of RESTful API integration. Competency in using Node.js and NPM Knowledge in Git based workflows and code versioning tools Develop and maintain user interfaces using Angular v16+ with Angular Material. Implement UI components using HTML, CSS, JavaScript, and TypeScript. Create and execute unit tests using JEST to ensure code quality. Integrate frontend with RESTful APIs. Leverage Angular Reactive Forms, lifecycle hooks, and Signals effectively. Utilize Flexbox layouts to build responsive designs. Apply Angular services and dependency injection for clean architecture. Work with Subjects and Observables to manage asynchronous data. Handle common JS utilities for object merging, packing, and unpacking. Ensure optimal change detection strategies for performance. Contribute to continuous integration pipelines via Node.js and NPM. Collaborate in AgileScrum environments with cross-functional teams. Angular v16 HTML, CSS, JavaScript, and TypeScript Angular Reactive Forms Unit tests using JEST Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)’s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights. We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions. As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques. Application of machine learning solutions. Best in class cloud technology & micro-services architecture. Use DevOps best practices that include model serving, data & code versioning. Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques. Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making. Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices. Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment. Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions. Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases. Develop internal tools and utilities to enhance the productivity of the team and streamline workflows. Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring. Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects. Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline. Previous Work Experience Minimum 3 years of relevant experience. Technical Skills Required Programming Languages: Proficiency in Python. Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics. Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques. Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation. LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering. Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets. Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis. Cloud Platforms: Familiarity with Azure and Google Cloud Platform. DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes. Other Skills Required APIs: Experience with FastAPI or Flask. Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies. And above all of this, an undying love for beer! We dream big to create future with more cheers. Show more Show less

Role Overview We are seeking a backend engineer with strong fundamentals, system-level thinking, and production-grade implementation experience. The ideal candidate is deeply technical and can make architectural and performance-related decisions with clarity. You will be responsible for building scalable, fault-tolerant systems and APIs that power core business functions. Key Responsibilities Design, develop, and maintain backend services using any language Golang, Python, C++, or Java within a scalable microservices architecture. Build and document reliable APIs (REST/gRPC) with attention to versioning, observability, and fault-tolerance Develop and optimize data pipelines and event-driven architectures using Kafka, SQS, or NATS Design and tune PostgreSQL schemas and queries for performance, reliability, and scalability Implement and optimize concurrency primitives (goroutines/threads, mutexes, context, rate limiters) Own your code in production — including debugging, monitoring (Prometheus, Grafana), and incident resolution Participate in architecture discussions and code reviews; uphold high code quality and design standards Required Skills and Qualifications Core Engineering 3–7 years of backend engineering experience with olang, Python, C++, or Java in production environments Strong understanding of concurrency, memory management, goroutine/thread scheduling, and synchronization primitives Ability to design and debug high-throughput, low-latency systems with attention to memory and CPU efficiency System Design and Infrastructure Experience with distributed messaging systems (Kafka/SQS/NATS): offset management, retries, ordering, delivery guarantees Familiarity with rate limiting, circuit breaking, retry logic, and backpressure in API and message systems Practical knowledge of containerized development (Docker), CI/CD, and cloud infrastructure (AWS preferred) Database Expertise Strong SQL skills — schema design, indexing, query optimization, ACID properties, migration strategies Experience with PostgreSQL or similar RDBMS handling large datasets and complex queries Production-Readiness Exposure to observability stack: structured logging, metrics (Prometheus/Grafana), alerts, and debugging tools Experience writing clean, testable code with unit/integration tests and version control workflows Preferred Qualifications (Good to Have) Experience with Redis, Elasticsearch, or time-series databases Background in fintech, trading systems, or high-throughput transactional systems Active contributor to design docs or architecture reviews Strong problem-solving record in system-level root cause analysis Culture Fit You reason about why , not just how You take ownership end-to-end — design to on-call You value clarity, performance, and maintainability over short-term hacks You communicate precisely and work well in high-performance teams Interview Process Resume and project review DSA + problem-solving round System design + infrastructure deep dive Final culture + ownership round Show more Show less