Job Information Number of Positions 1 Industry Engineering Date Opened 06/09/2025 Job Type Permanent Work Experience 2-3 years City Bangalore State/Province Karnataka Country India Zip/Postal Code 560037 Location Bangalore About Us CloudifyOps is a company with DevOps and Cloud in our DNA. CloudifyOps enables businesses to become more agile and innovative through a comprehensive portfolio of services that addresses hybrid IT transformation, Cloud transformation, and end-to-end DevOps Workflows. We are a proud Advance Partner of Amazon Web Services and have deep expertise in Microsoft Azure and Google Cloud Platform solutions. We are passionate about what we do. The novelty and the excitement of helping our customers accomplish their goals drives us to become excellent at what we do. Job Description Culture at CloudifyOps : Working at CloudifyOps is a rewarding experience! Great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. About the Role: We are seeking a proactive and technically skilled AI/ML Engineer with 2–3 years of experience to join our growing technology team. The ideal candidate will have hands-on expertise in AWS-based machine learning, Agentic AI, and Generative AI tools, especially within the Amazon AI ecosystem. You will play a key role in building intelligent, scalable solutions that address complex business challenges. Key Responsibilities: 1. AWS-Based Machine Learning Develop, train, and fine-tune ML models on AWS SageMaker, Bedrock, and EC2. Implement serverless ML workflows using Lambda, Step Functions, and EventBridge. Optimize models for cost/performance using AWS Inferentia/Trainium. 2. MLOps & Productionization Build CI/CD pipelines for ML using AWS SageMaker Pipelines, MLflow, or Kubeflow. Containerize models with Docker and deploy via AWS EKS/ECS/Fargate. Monitor models in production using AWS CloudWatch, SageMaker Model Monitor. 3. Agentic AI Development Design autonomous agent systems (e.g., AutoGPT, BabyAGI) for task automation. Integrate multi-agent frameworks (LangChain, AutoGen) with AWS services. Implement RAG (Retrieval-Augmented Generation) for agent knowledge enhancement. 4. Generative AI & LLMs Fine-tune and deploy LLMs (GPT-4, Claude, Llama 2/3) using LoRA/QLoRA. Build Generative AI apps (chatbots, content generators) with LangChain, LlamaIndex. Optimize prompts and evaluate LLM performance using AWS Bedrock/Amazon Titan. 5. Collaboration & Innovation Work with cross-functional teams to translate business needs into AI solutions. Collaborate with DevOps and Cloud Engineering teams to develop scalable, production-ready AI systems. Stay updated with cutting-edge AI research (arXiv, NeurIPS, ICML). 5. Governance & Documentation Implement model governance frameworks to ensure ethical AI/ML deployments. Design reproducible ML pipelines following MLOps best practices (versioning, testing, monitoring). Maintain detailed documentation for models, APIs, and workflows (Markdown, Sphinx, ReadTheDocs). Create runbooks for model deployment, troubleshooting, and scaling. Technical Skills Programming: Python (PyTorch, TensorFlow, Hugging Face Transformers). AWS: SageMaker, Lambda, ECS/EKS, Bedrock, S3, IAM. MLOps: MLflow, Kubeflow, Docker, GitHub Actions/GitLab CI. Generative AI: Prompt engineering, LLM fine-tuning, RAG, LangChain. Agentic AI: AutoGPT, BabyAGI, multi-agent orchestration. Data Engineering: SQL, PySpark, AWS Glue/EMR. Soft Skills Strong problem-solving and analytical thinking. Ability to explain complex AI concepts to non-technical stakeholders. What We’re Looking For Bachelor’s/Master’s in CS, AI, Data Science, or related field. 2-3 years of industry experience in AI/ML engineering. Portfolio of deployed ML/AI projects (GitHub, blog, case studies). Good to have an AWS Certified Machine Learning Specialty certification. Why Join Us? Innovative Projects: Work on cutting-edge AI applications that push the boundaries of technology. Collaborative Environment: Join a team of passionate engineers and researchers committed to excellence. Career Growth: Opportunities for professional development and advancement in the rapidly evolving field of AI. Equal opportunity employer CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.

Bangalore,Karnataka,India Job ID 764972 Join our Team Ericsson’s R&D Data team is seeking a visionary and technically exceptional Principal Machine Learning Engineer to lead the design, development, and deployment of advanced ML systems at scale. This role sits at the strategic intersection of machine learning, data engineering, and cloud-native architecture—shaping the next generation of AI-driven services at Ericsson. As a senior technical leader, you will architect and guide the end-to-end ML lifecycle, from data strategy and engineering to large-scale model deployment and continuous optimization. You’ll partner closely with data engineers, software developers, and product stakeholders, while mentoring a high-performing team of ML engineers. Your work will help scale intelligent systems that power mission-critical R&D and network solutions. Key Responsibilities: Architect and implement scalable ML solutions, deeply integrated with robust and reliable data pipelines. Own the complete ML lifecycle: data ingestion, preprocessing, feature engineering, model design, training, evaluation, deployment, and monitoring. Design and optimize data architectures supporting both batch and streaming ML use cases. Collaborate with data engineering teams to build real-time and batch pipelines using managed streaming platforms such as Kafka or equivalent technologies. Guide the development and automation of ML workflows using modern MLOps and CI/CD practices. Mentor and lead ML engineers, establishing engineering best practices and fostering a high-performance, collaborative culture. Align ML efforts with business objectives by working cross-functionally with data scientists, engineers, and product managers. Stay current with the latest ML and data engineering advancements, integrating emerging tools and frameworks into scalable, production-ready systems. Champion responsible AI practices including model governance, explainability, fairness, and compliance. Required Qualifications: 8+ years of experience in machine learning, applied AI, or data science with a proven record of delivering ML systems at scale. 3+ years of experience in data engineering or building ML-supportive data infrastructure and pipelines. Advanced degree (MS or PhD preferred) in Computer Science, Data Engineering, Machine Learning, or a related technical field. Proficient in Python (preferred), with experience in Java or C++ for backend or performance-critical tasks. Deep expertise with ML frameworks (TensorFlow, PyTorch, JAX) and cloud platforms, especially AWS (SageMaker, Lambda, Step Functions, S3, etc.). Experience with managed streaming data platforms such as Amazon MSK, or similar technologies for real-time ML data pipelines. Experience with distributed systems and data processing tools such as Spark, Airflow, and AWS Glue. Fluency in MLOps best practices, including CI/CD, model versioning, observability, and automated retraining pipelines. Strong leadership skills with experience mentoring engineers and influencing technical direction across teams. Excellent collaboration and communication skills, with the ability to align ML strategy with product and business needs.

Ably Soft specializes in delivering paramount web design and development solutions. With an expert team of over 150 web professionals and clientele in more than 50 countries, we invest in cultivating diverse talents and rendering an enriching experience. Our flagship award-winning product Yo!Kart has been a huge success. Our cutting-edge eCommerce enabled and database driven platforms have garnered immense recognition. We are one of the fastest-growing IT companies in the region with prowess in delivering innovative eCommerce solutions. Pursuing a holistic approach, we focus on supporting an employee-driven work environment. ISO 9001:2015 Certified Company NASSCOM Member Candidate Profile Candidate must have a background in software development, academically and/or professionally. Experience in native iOS development. Proficient in Swift and Objective-C. Experience with iOS frameworks such as Core Data, Core Animation, etc. Familiarity with RESTful APIs to connect iOS applications to back-end services. Experience with performance and memory tuning. Excellent knowledge of GPS usage on iOS platform and battery conservation strategies. Excellent understanding of working with REST Web Services. Familiarity with push notifications, cloud messaging, and APIs. Understanding of code versioning tools (e.g., Git). Experience in publishing apps on the App Store. Good understanding of software development life cycle. Willingness to work hard to achieve companys commitments. Good communication skills, good team player and committed to the organization. Understanding Apples design principles and interface guidelines. KRAs: Design and build advanced applications for the iOS platform. Implement new technology and maximize development efficiency. Collaborate with cross-functional teams to define, design, and ship new features. Work on bug fixing and improving application performance. Self-motivated and ability to work without detailed instructions. Translate designs and wire-frames into high quality code. Adept at writing code that is readable and speaks of quality thinking. Project Planning PP Pre Sales Stage Provide support/guidance/training to the Pre-sales team and Business Analysts team to ensure the clients requirements are properly understood and replied to with appropriate information and professionalism. Provide time/cost estimates to Pre-sales/BA team. Assist in the collection and documentation of users requirements, development of user stories, estimates and work plans. PP Post Sales Stage Collaborate with Project Planning Team to ensure the scope of the project is complete and well documented. Project Plan must be agreed to and approved by the Lead Programmer. Must share the Possible Use Cases with the Project Planning Team to ensure these are handled at the project Execution and Testing stage. Project Execution/Management Clearly and regularly communicate with management and technical support colleagues. Responsible for reporting/timely delivery and keep updates to all stakeholders mainly when an obstacle is faced. Make sure that work done (progress made) on the current project is clear and can be evaluated any time. Lead project success at all stages. Test and maintain software products to ensure strong functionality and optimization. Self-Improvement Knowledge Sharing Team Training Should be glad/readily available to provide inputs/help/support to their own and other departments as and when needed (subject to availability) for the interest of the organization. Keep himself/herself updated about the latest best practices related to their Job Responsibilities. Acquire new skills and knowledge which are in sync with company future plans and or your upcoming project requirements. Team Management/Leading Act as an example to the team as someone who follows Rules/Practices set by the organization the closest possible way. Will evaluate and provide feedback for junior team members about technical competence as well as other areas like behavioral, punctuality, responsibility, etc. Others (Administrative and Disciplinary) Make sure that the Software Programmers are posting their time in a descriptive and a timely manner. Required Experience: 2 to 3 Years Ecommerce, Online Market Places, Mobile Applications, CMS, Open Source Scripts, Social networking portals, On Demand Service Portals. Qualifications/ Preferred Industry Web Solutions: B. Tech, BCA, B. Sc (IT), M. Tech, MCA, or M. Sc (IT) Candidates. Foreign Language will be considered as a plus point. Ecommerce, Online Market Places, Mobile Applications, CMS, Open Source Scripts, Social networking portals, On Demand Service Portals. Location and Working Days: Ably Soft Pvt. Ltd. Plot- ITC3, Sector-67, Mohali, Punjab 5 Days Working Mohali, Work from office Show more Show less

NOTE : This position is for Mumbai (Remote), please apply only if are from Mumbai or open to relocate to Mumbai. As a Frontend Developer in BrowserStack, you will be working with an open mind to use the best suited Frontend technologies for our products. You will work with peers on teams dedicated to a specific product or may be part of a frontend platform team. You will work together with Product Managers, Designers, Backend Engineers and Quality Assurance Engineers to work on some common goals. Desired experience: You should have 1-3 years of professional experience developing Web applications. Strong knowledge of HTML, CSS, JavaScript. Prior exposure to at least one of the modern JavaScript frameworks/libraries. ReactJS knowledge is a plus. Good working knowledge of one of the build tools like - Webpack, Parcel, Gulp etc Experience of working with web infrastructure and also understanding of building scalable web applications using frameworks like Ruby on Rails and Node.js is a huge plus. Good understanding of code versioning tools like Git. We are looking at someone with the ability to work and operate in a fast-paced and collaborative environment with high willingness to learn. Aggressive problem diagnosis and creative problem solving skills What will you do? Own and commit to all your work and be accountable for your results. You will build reusable, high quality code and libraries for future which can be unit tested, code reviewed and used across multiple projects. You also will be participating in a culture of code reviews, writing tech specs, and collaborating closely with other people (no lone wolves) Will Work with cross-functional team members like designers, product managers and analytics. Researching on new technologies and adapting them to BrowserStack requirements. You will understand and use third party libraries, as well as troubleshooting UI related issues using browsers tools. Ability to rapidly iterate on product/platform features Show more Show less

Role – Deep Learning Engineer & Data Scientist Job Description Location - PAN India Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Job Description Job Purpose ICE Mortgage is the leading cloud-based platform provider for the mortgage finance industry. ICE Mortgage technology solutions enable lenders to originate more loans, reduce origination costs, and reduce the time to close, all while ensuring the highest levels of compliance, quality and efficiency. Visit ‪ EllieMae.com to learn more. We are seeking a strong QA Engineer with a solid background in Software Quality and Testing. As a member of the Quality Engineering team, you will be working with a fast-paced development team while collaborating with other developers, other QA Engineers, Product, UX, Management and customer support teams. You will have the opportunity to contribute and enhance our existing test framework and improve the overall Quality of our products. While working on these products you will be responsible for full life-cycle management, including requirements analysis, testing, documentation, deployment and owning Quality. Responsibilities Test web applications, APIs, client applications Write and execute test plans, design and develop test tools, debug and report code bugs and push quality upstream. Implement and maintain test automation and frameworks, performance testing tools, and other quality inspection tools Execute manual tests and then automate Debug and troubleshoot complex issues Analyze test automation results. Assist in maintaining test environment Knowledge And Experience 8+ years’ experience Open and willing to join an agile, fast paced work environment Excellent written and oral communication skills with ability to explain, present, and showcase concepts and concerns to technical and non-technical audiences. Must be familiar with entire Software Development Life Cycle process Knowledge of programming language such as Java, Python or C#. Experience with automated testing tools and technologies: Selenium, Jenkins, Test Runners Experience with test automation of APIs Exposure to various web technologies such as HTML, CSS, XPATH, JavaScript Exposure to various versioning systems (Git, TFS, Subversion) Exposure to test case management tools Strong analytical and problem-solving skills Self-motivated, able to learn and research issues independently Knowledge of modern best practices for professional software development including coding standards, code reviews, source control management, build processes, testing, and operations Bachelor’s degree in computer science or relevant Engineering degree. Show more Show less

Company Overview Viraaj HR Solutions is a leading provider of human resource services dedicated to connecting talented professionals with dynamic job opportunities across various industries. We focus on delivering tailored solutions that meet the unique needs of our clients while emphasizing a culture of integrity, excellence, and collaboration. Our mission is to empower individuals and businesses through innovative HR solutions that enhance productivity and growth. Role Overview We are currently seeking an experienced Azure DevOps Engineer to join our team on-site in India. The ideal candidate will play a critical role in managing and supporting our cloud infrastructure, implementing DevOps practices, and ensuring a smooth software development lifecycle. If you are passionate about enhancing development processes and have a solid background in Azure technologies, we would love to hear from you! Role Responsibilities Design and implement Azure DevOps solutions to optimize development and deployment processes. Develop and manage CI/CD pipelines ensuring automation and efficiency. Collaborate with development, QA, and operations teams to ensure successful project delivery. Manage source control through Git, ensuring code quality and versioning. Implement Infrastructure as Code (IaC) using tools like Terraform or Azure Resource Manager. Monitor and manage cloud resources, ensuring high availability and performance. Troubleshoot and resolve issues related to cloud infrastructure and DevOps tooling. Conduct regular system audits and ensure compliance with security standards. Document processes and create solutions for recurring issues to enhance efficiency. Conduct performance tuning and optimization of deployment processes. Provide technical guidance and mentoring to junior team members. Stay updated with the latest trends in cloud technology and DevOps practices. Participate in Agile ceremonies to ensure smooth project progress. Collaborate with stakeholders to gather requirements and deliver tailored solutions. Support disaster recovery plans and implementation for cloud services. Qualifications Bachelor’s degree in Computer Science or related field. Proven experience as an Azure DevOps Engineer or in a similar role. Strong understanding of Azure cloud services and deployment models. Experience with containerization technologies like Docker and Kubernetes. Proficient in scripting languages such as PowerShell or Python. Hands-on experience with CI/CD tools and practices. Familiarity with monitoring tools like Azure Monitor or Grafana. Experience with configuration management tools such as Ansible or Chef. Good understanding of networking concepts and security best practices. Ability to work on multiple projects simultaneously and meet deadlines. Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Experience working in an Agile or Scrum environment. Ability to collaborate effectively with cross-functional teams. Relevant certifications in Azure or DevOps are a plus. Skills: agile methodologies,agile,azure,version control,collaboration tools,cloud monitoring,infrastructure as code (iac),ansible,terraform,powershell,kubernetes,cloud infrastructure,ci/cd,containerization,git,azure resource manager,python,devops,docker,chef,scrum Show more Show less

Company Overview Viraaj HR Solutions is a leading provider of human resource services dedicated to connecting talented professionals with dynamic job opportunities across various industries. We focus on delivering tailored solutions that meet the unique needs of our clients while emphasizing a culture of integrity, excellence, and collaboration. Our mission is to empower individuals and businesses through innovative HR solutions that enhance productivity and growth. Role Overview We are currently seeking an experienced Azure DevOps Engineer to join our team on-site in India. The ideal candidate will play a critical role in managing and supporting our cloud infrastructure, implementing DevOps practices, and ensuring a smooth software development lifecycle. If you are passionate about enhancing development processes and have a solid background in Azure technologies, we would love to hear from you! Role Responsibilities Design and implement Azure DevOps solutions to optimize development and deployment processes. Develop and manage CI/CD pipelines ensuring automation and efficiency. Collaborate with development, QA, and operations teams to ensure successful project delivery. Manage source control through Git, ensuring code quality and versioning. Implement Infrastructure as Code (IaC) using tools like Terraform or Azure Resource Manager. Monitor and manage cloud resources, ensuring high availability and performance. Troubleshoot and resolve issues related to cloud infrastructure and DevOps tooling. Conduct regular system audits and ensure compliance with security standards. Document processes and create solutions for recurring issues to enhance efficiency. Conduct performance tuning and optimization of deployment processes. Provide technical guidance and mentoring to junior team members. Stay updated with the latest trends in cloud technology and DevOps practices. Participate in Agile ceremonies to ensure smooth project progress. Collaborate with stakeholders to gather requirements and deliver tailored solutions. Support disaster recovery plans and implementation for cloud services. Qualifications Bachelor’s degree in Computer Science or related field. Proven experience as an Azure DevOps Engineer or in a similar role. Strong understanding of Azure cloud services and deployment models. Experience with containerization technologies like Docker and Kubernetes. Proficient in scripting languages such as PowerShell or Python. Hands-on experience with CI/CD tools and practices. Familiarity with monitoring tools like Azure Monitor or Grafana. Experience with configuration management tools such as Ansible or Chef. Good understanding of networking concepts and security best practices. Ability to work on multiple projects simultaneously and meet deadlines. Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Experience working in an Agile or Scrum environment. Ability to collaborate effectively with cross-functional teams. Relevant certifications in Azure or DevOps are a plus. Skills: agile methodologies,agile,azure,version control,collaboration tools,cloud monitoring,infrastructure as code (iac),ansible,terraform,powershell,kubernetes,cloud infrastructure,ci/cd,containerization,git,azure resource manager,python,devops,docker,chef,scrum Show more Show less

Company Overview Viraaj HR Solutions is a leading provider of human resource services dedicated to connecting talented professionals with dynamic job opportunities across various industries. We focus on delivering tailored solutions that meet the unique needs of our clients while emphasizing a culture of integrity, excellence, and collaboration. Our mission is to empower individuals and businesses through innovative HR solutions that enhance productivity and growth. Role Overview We are currently seeking an experienced Azure DevOps Engineer to join our team on-site in India. The ideal candidate will play a critical role in managing and supporting our cloud infrastructure, implementing DevOps practices, and ensuring a smooth software development lifecycle. If you are passionate about enhancing development processes and have a solid background in Azure technologies, we would love to hear from you! Role Responsibilities Design and implement Azure DevOps solutions to optimize development and deployment processes. Develop and manage CI/CD pipelines ensuring automation and efficiency. Collaborate with development, QA, and operations teams to ensure successful project delivery. Manage source control through Git, ensuring code quality and versioning. Implement Infrastructure as Code (IaC) using tools like Terraform or Azure Resource Manager. Monitor and manage cloud resources, ensuring high availability and performance. Troubleshoot and resolve issues related to cloud infrastructure and DevOps tooling. Conduct regular system audits and ensure compliance with security standards. Document processes and create solutions for recurring issues to enhance efficiency. Conduct performance tuning and optimization of deployment processes. Provide technical guidance and mentoring to junior team members. Stay updated with the latest trends in cloud technology and DevOps practices. Participate in Agile ceremonies to ensure smooth project progress. Collaborate with stakeholders to gather requirements and deliver tailored solutions. Support disaster recovery plans and implementation for cloud services. Qualifications Bachelor’s degree in Computer Science or related field. Proven experience as an Azure DevOps Engineer or in a similar role. Strong understanding of Azure cloud services and deployment models. Experience with containerization technologies like Docker and Kubernetes. Proficient in scripting languages such as PowerShell or Python. Hands-on experience with CI/CD tools and practices. Familiarity with monitoring tools like Azure Monitor or Grafana. Experience with configuration management tools such as Ansible or Chef. Good understanding of networking concepts and security best practices. Ability to work on multiple projects simultaneously and meet deadlines. Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Experience working in an Agile or Scrum environment. Ability to collaborate effectively with cross-functional teams. Relevant certifications in Azure or DevOps are a plus. Skills: agile methodologies,agile,azure,version control,collaboration tools,cloud monitoring,infrastructure as code (iac),ansible,terraform,powershell,kubernetes,cloud infrastructure,ci/cd,containerization,git,azure resource manager,python,devops,docker,chef,scrum Show more Show less

Company Overview Viraaj HR Solutions is a leading provider of human resource services dedicated to connecting talented professionals with dynamic job opportunities across various industries. We focus on delivering tailored solutions that meet the unique needs of our clients while emphasizing a culture of integrity, excellence, and collaboration. Our mission is to empower individuals and businesses through innovative HR solutions that enhance productivity and growth. Role Overview We are currently seeking an experienced Azure DevOps Engineer to join our team on-site in India. The ideal candidate will play a critical role in managing and supporting our cloud infrastructure, implementing DevOps practices, and ensuring a smooth software development lifecycle. If you are passionate about enhancing development processes and have a solid background in Azure technologies, we would love to hear from you! Role Responsibilities Design and implement Azure DevOps solutions to optimize development and deployment processes. Develop and manage CI/CD pipelines ensuring automation and efficiency. Collaborate with development, QA, and operations teams to ensure successful project delivery. Manage source control through Git, ensuring code quality and versioning. Implement Infrastructure as Code (IaC) using tools like Terraform or Azure Resource Manager. Monitor and manage cloud resources, ensuring high availability and performance. Troubleshoot and resolve issues related to cloud infrastructure and DevOps tooling. Conduct regular system audits and ensure compliance with security standards. Document processes and create solutions for recurring issues to enhance efficiency. Conduct performance tuning and optimization of deployment processes. Provide technical guidance and mentoring to junior team members. Stay updated with the latest trends in cloud technology and DevOps practices. Participate in Agile ceremonies to ensure smooth project progress. Collaborate with stakeholders to gather requirements and deliver tailored solutions. Support disaster recovery plans and implementation for cloud services. Qualifications Bachelor’s degree in Computer Science or related field. Proven experience as an Azure DevOps Engineer or in a similar role. Strong understanding of Azure cloud services and deployment models. Experience with containerization technologies like Docker and Kubernetes. Proficient in scripting languages such as PowerShell or Python. Hands-on experience with CI/CD tools and practices. Familiarity with monitoring tools like Azure Monitor or Grafana. Experience with configuration management tools such as Ansible or Chef. Good understanding of networking concepts and security best practices. Ability to work on multiple projects simultaneously and meet deadlines. Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Experience working in an Agile or Scrum environment. Ability to collaborate effectively with cross-functional teams. Relevant certifications in Azure or DevOps are a plus. Skills: agile methodologies,agile,azure,version control,collaboration tools,cloud monitoring,infrastructure as code (iac),ansible,terraform,powershell,kubernetes,cloud infrastructure,ci/cd,containerization,git,azure resource manager,python,devops,docker,chef,scrum Show more Show less

Company Overview Viraaj HR Solutions is a leading provider of human resource services dedicated to connecting talented professionals with dynamic job opportunities across various industries. We focus on delivering tailored solutions that meet the unique needs of our clients while emphasizing a culture of integrity, excellence, and collaboration. Our mission is to empower individuals and businesses through innovative HR solutions that enhance productivity and growth. Role Overview We are currently seeking an experienced Azure DevOps Engineer to join our team on-site in India. The ideal candidate will play a critical role in managing and supporting our cloud infrastructure, implementing DevOps practices, and ensuring a smooth software development lifecycle. If you are passionate about enhancing development processes and have a solid background in Azure technologies, we would love to hear from you! Role Responsibilities Design and implement Azure DevOps solutions to optimize development and deployment processes. Develop and manage CI/CD pipelines ensuring automation and efficiency. Collaborate with development, QA, and operations teams to ensure successful project delivery. Manage source control through Git, ensuring code quality and versioning. Implement Infrastructure as Code (IaC) using tools like Terraform or Azure Resource Manager. Monitor and manage cloud resources, ensuring high availability and performance. Troubleshoot and resolve issues related to cloud infrastructure and DevOps tooling. Conduct regular system audits and ensure compliance with security standards. Document processes and create solutions for recurring issues to enhance efficiency. Conduct performance tuning and optimization of deployment processes. Provide technical guidance and mentoring to junior team members. Stay updated with the latest trends in cloud technology and DevOps practices. Participate in Agile ceremonies to ensure smooth project progress. Collaborate with stakeholders to gather requirements and deliver tailored solutions. Support disaster recovery plans and implementation for cloud services. Qualifications Bachelor’s degree in Computer Science or related field. Proven experience as an Azure DevOps Engineer or in a similar role. Strong understanding of Azure cloud services and deployment models. Experience with containerization technologies like Docker and Kubernetes. Proficient in scripting languages such as PowerShell or Python. Hands-on experience with CI/CD tools and practices. Familiarity with monitoring tools like Azure Monitor or Grafana. Experience with configuration management tools such as Ansible or Chef. Good understanding of networking concepts and security best practices. Ability to work on multiple projects simultaneously and meet deadlines. Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Experience working in an Agile or Scrum environment. Ability to collaborate effectively with cross-functional teams. Relevant certifications in Azure or DevOps are a plus. Skills: agile methodologies,agile,azure,version control,collaboration tools,cloud monitoring,infrastructure as code (iac),ansible,terraform,powershell,kubernetes,cloud infrastructure,ci/cd,containerization,git,azure resource manager,python,devops,docker,chef,scrum Show more Show less

Job Description Summary As a Staff Machine Learning Engineer, you will play a crucial role in bridging the gap between data science and production, ensuring the seamless integration and deployment of machine learning models into operational systems. You will be responsible for designing, implementing, and managing the infrastructure and workflows necessary to deploy, monitor, and maintain machine learning models at scale. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Responsibilities Job Description Model Deployment and Integration: Collaborate with data scientists to optimize, package and deploy machine learning models into production environments efficiently and reliably. Infrastructure Design and Maintenance: Design, build, and maintain scalable and robust infrastructure for model deployment, monitoring, and management. This includes containerization, orchestration, and automation of deployment pipelines. Continuous Integration/Continuous Deployment (CI/CD): Implement and manage CI/CD pipelines for automated model training, testing, and deployment. Model Monitoring and Performance Optimization: Develop monitoring and alerting systems to track the performance of deployed models and identify anomalies or degradation in real-time. Implement strategies for model retraining and optimization. Data Management and Version Control: Establish processes and tools for managing data pipelines, versioning datasets, and tracking changes in model configurations and dependencies. Security and Compliance: Ensure the security and compliance of deployed models and associated data. Implement best practices for data privacy, access control, and regulatory compliance. Documentation and Knowledge Sharing: Document deployment processes, infrastructure configurations, and best practices. Provide guidance and support to other team members on MLOps practices and tools. Collaboration and Communication: Collaborate effectively with cross-functional teams, including data scientists and business stakeholders. Communicate technical concepts and solutions to non-technical audiences. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Excellent programming skills in languages such as Python. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency in cloud platforms such as AWS, Azure and related services (e.g., AWS SageMaker, Azure ML). Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with software engineering principles and best practices (e.g., version control, testing, debugging). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced and dynamic environment. Preferred Qualifications Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of microservices architecture and distributed systems. Certification in relevant technologies or methodologies (e.g., AWS Certified Machine Learning Specialty, Kubernetes Certified Administrator). Experience with data engineering and ETL processes. Understanding of machine learning concepts and algorithms. Understanding of Large Language Models (LLM) and Foundation Models (FM). Certification in machine learning or related fields. Joining our team as a Staff ML Engineer offers an exciting opportunity to work at the intersection of data science, software engineering, and operations, contributing to the development and deployment of cutting-edge machine learning solutions. If you are passionate about leveraging technology to drive business value and thrive in a collaborative and innovative environment, we encourage you to apply. GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. Additional Information Relocation Assistance Provided: No Show more Show less

At Apple, new ideas have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don't just craft products - they build the kind of wonder that's revolutionised entire industries!. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Description We are seeking a highly skilled and motivated Machine Learning Engineer with a solid focus on Large Language Models (LLMs) and text processing. In this role, you will work on building, fine-tuning, optimising, and deploying LLMs for real-world applications. You'll also be responsible for generating scripts using LLMs, customising models using platforms like Ollama, and integrating them into robust applications. Design and implement solutions leveraging LLMs for text generation, understanding, summarisation, classification, and extraction tasks. Build pipelines to automate script generation for business or technical workflows using LLMs. Customise and fine-tune LLMs using domain-specific data with tools like Ollama and LoRA/QLoRA. Optimize LLMs for inference speed, accuracy, and resource efficiency (quantisation, pruning, etc.). Integrate LLM functionalities into end-user applications with a strong emphasis on usability and performance. Collaborate with product, design, and engineering teams to translate business requirements into ML-based solutions. Develop APIs and micro-services for model serving and deployment. Monitor model performance and implement continuous improvement and retraining strategies. Stay updated with the latest research and trends in the LLM space and propose innovative ideas. Minimum Qualifications 5+ years of experience in ML/NLP with a focus on large language models and text data with Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, FAISS). Strong programming skills in Python, including popular ML/NLP libraries (e.g., HuggingFace Transformers, PyTorch, LangChain). Experience with LLM customisation and fine-tuning (e.g., on GPT, LLaMA, Mistral, Mixtral) and Hands-on experience with Ollama or similar tools for local/custom model deployment. Demonstrable ability to optimize model performance for production environments. Solid grasp of REST APIs, application development, and software engineering standard processes. Preferred Qualifications Experience working with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus. Exposure to frontend/backend development for building LLM-powered dashboards or assistants. Understanding of MLOps, model versioning, and continuous improvement practices. Submit CV

5 - 7 Years 1 Opening Kochi, Trivandrum Role description Job Title: Lead ML-Ops Engineer – GenAI & Scalable ML Systems Location: Any UST Job Type: Full-Time Experience Level: Senior / Lead Role Overview: We are seeking a Lead ML-Ops Engineer to spearhead the end-to-end operationalization of machine learning and Generative AI models across our platforms. You will play a pivotal role in building robust, scalable ML pipelines, embedding responsible AI governance, and integrating innovative GenAI techniques—such as Retrieval-Augmented Generation (RAG) and LLM-based applications —into real-world systems. You will collaborate with cross-functional teams of data scientists, data engineers, product managers, and business stakeholders to ensure AI solutions are production-ready, resilient, and aligned with strategic business goals. A strong background in Dataiku or similar platforms is highly preferred. Key Responsibilities: Model Development & Deployment Design, implement, and manage scalable ML pipelines using CI/CD practices. Operationalize ML and GenAI models, ensuring high availability, observability, and reliability. Automate data and model validation, versioning, and monitoring processes. Technical Leadership & Mentorship Act as a thought leader and mentor to junior engineers and data scientists on ML-Ops best practices. Define architecture standards and promote engineering excellence across ML-Ops workflows. Innovation & Generative AI Strategy Lead the integration of GenAI capabilities such as RAG and large language models (LLMs) into applications. Identify opportunities to drive business impact through cutting-edge AI technologies and frameworks. Governance & Compliance Implement governance frameworks for model explainability, bias detection, reproducibility, and auditability. Ensure compliance with data privacy, security, and regulatory standards in all ML/AI solutions. Must-Have Skills: 5+ years of experience in ML-Ops, Data Engineering, or Machine Learning. Proficiency in Python, Docker, Kubernetes, and cloud services (AWS/GCP/Azure). Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, MLflow, or Kubeflow). Deep knowledge of ML pipeline orchestration, model lifecycle management, and monitoring tools. Experience with LLM frameworks (e.g., LangChain, HuggingFace Transformers) and GenAI use cases like RAG. Strong understanding of responsible AI and MLOps governance best practices. Proven ability to work cross-functionally and lead technical discussions. Good-to-Have Skills: Experience with Dataiku DSS or similar platforms (e.g., DataRobot, H2O.ai). Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) for GenAI retrieval tasks. Exposure to tools like Apache Airflow, Argo Workflows, or Prefect for orchestration. Understanding of ML evaluation metrics in a production context (drift detection, data integrity checks). Experience in mentoring, technical leadership, or project ownership roles. Why Join Us? Be at the forefront of AI innovation and shape how cutting-edge technologies drive business transformation. Join a collaborative, forward-thinking team with a strong emphasis on impact, ownership, and learning. Competitive compensation, remote flexibility, and opportunities for career advancement. Skills Artificial Intelligence,Python,ML-OPS About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Java Backend Role Purpose The purpose of the role is to create exceptional and detailed architectural application design and provide thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Requirements: 8+ Years of experience in Application Development using Java and Advance Technologies tool Strong understanding of fundamental architecture and design principles, object-orientation principles, and coding standards Ability to design and build smart, scalable, and resilient solutions with tight deadlines, both high and low-level. Strong analytical and problem-solving skills Strong verbal and written communication skills Good knowledge in DevOps, CI-CD Understanding on source control, versioning, branching etc. Experienced in Agile methodology and Waterfall models Strong experience in Application Delivery, that also includes Production Support Very Good presentation and documentation skills Ability to learn and adapt to new technologies and frameworks Awareness about Release Management Strong team player who can collaborate effectively with relevant stakeholders Recommend future technology capabilities and architecture design considering business objectives, technology strategy, trends and regulatory requirements. ͏ Must Have Strong programming and hands-on skills in Java 8 or above (preferably Java 17) Good hands on Java Collections and Streams Good hands on Data structure and Algorithms.Good experience in developing vulnerable free Spring Framework applications Good knowledge on Spring DI/Blueprints, Spring Boot, etc. Good knowledge about Design Patterns and Principles Good knowledge on OR frameworks like Hibernate, JPA etc. Good knowledge on API building (Web Service, SOAP/REST) Good knowledge on Unit testing and code coverage using JUnit/Mockito Good knowledge on code quality tools like SonarQube, Security Scans etc. Good knowledge on containerized platforms like Kubernetes, OpenShift, EKS (AWS) Good knowledge in Enterprise Application Integration patterns (synchronous, asynchronous) Good knowledge on multi-threading and multi-processing implementations Experience in RDBMS (Oracle, PostgreSQL, MySQL) Knowledge on SQL queries Ability to work in quick paced, dynamic environment adapting agile methodologies Ability to work with minimal guidance and/or high-level design input Knowledge on Microservices based development and implementation Knowledge on CI-CD pattern with related tools like Azure DevOps, GIT, Bitbucket, etc. Knowledge on JSON libraries like Jackson/GSON Knowledge on basic Unix Commands Possess good documentation and presentation skills Able to articulate ideas, designs, and suggestions Mentoring fellow team members, conducting code reviews Mandatory Skills: Spring Boot. Experience: 8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Meet your team SAP CX Solution - Built for emerging business models it brings together customer data, machine learning and microservices technology to power real-time customer experiences across sales, service, marketing, and commerce and beyond. We are building a strong team of SAP Enterprise Commerce consultants with expertise in SAP Commerce Cloud and understanding of SAP Cloud solutions like SAP Customer Data Cloud, Marketing Cloud, Sales Cloud and Service Cloud. For this, we have opened a position “Senior Consultant”, seeking profile with deep and proven experience on implementing SAP Enterprise Commerce. What you’ll get Strong in Enterprise level architecture design thinking Good knowledge on integrations (knowledge on SPI is plus) Strong Java, Spring Knowledge and Experience (java 8/11 Preferable) Good Knowledge of Hybris Platform and experience developing on it. Experience on various accelerator like B2C, B2B, Financial Accelerator, Public Accelerator etc. Strong team player with excellent collaboration skills, able to work effectively in cross-functional and global teams Knowledge of ORM, WCMS, BackOffice. Working experience on modules like Search, Product Management, Cart, Checkout, Order etc. Knowledge of SOLR Search Engine Knowledge of payment Gateway Integrations Experience working with various code repository/versioning tools Knowledge on Database like HANA, Oracle, SQL Server Knowledge of front-end frameworks like Orbeon, JavaScript, JQuery, NodeJS etc. Experience writing testcases (JUnits) Knowledge and experience on CCV1 and CCV2 environment Experience on Azure Data Factory and Azure Infrastructure w.r.t. CCV2 environment Experience on various hybris releases and on upgrading client application to latest hybris platform. Experience on DataHub. Experience on integrating with various backend systems majorly SAP ERP. Experience on writing REST services, understanding of ODATA services. Omni Channel Connect experience. Dynatrace monitoring tool Working knowledge of CloudFoundry DevOps knowledge will be an advantage Experience on Spartacus, AngularJS, TypeScript Knowledge on KYMA and SAP Cloud extension framework will be a plus Good understanding on Cloud technologies like Kubernetes, Docker etc. What you bring B.Tech or M.Tech. or MCA or PhD. in Computer Science or other Engineering field. 6-10 years of overall IT experience. At least 6 years of experience in leading and delivering Enterprise Commerce solutions, SAP Hybris. Should have good analytical skills and communication skills. Must be able to elicit and define software requirements, and further translating them into software design, documentation and ultimately into working code and test. Must be able to actively collaborate and visualize user interaction models and designs. Open to work on diverse technologies like Commerce, SCPI, AngularJS, Core Java, UX Developer, Micro-services developer etc. Demonstrated coding skills, innovative thinking and creative problem skills. Should have leaded multiple implementation projects across geographies. #BusinessProcessT2 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 407030 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Job description : We are seeking a talented Android Developer to join our dynamic team. As an Android Developer, you will be responsible for the development. Your primary focus will be the development of Android applications and their integration with back-end services. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential. Responsibilities:  Design and build advanced applications for the Android platform.  Collaborate with cross-functional teams to define, design, and ship new features.  Work with outside data sources and APIs.  Unit-test code for robustness, including edge cases, usability, and general reliability.  Work on bug fixing and improving application performance.  Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Requirements:  Proven software development experience and Android skills development.  Proven working experience in Android app development and have published at least one original Android app.  Experience with Android SDK.  Experience working with remote data via REST and JSON.  Experience with third-party libraries and APIs.  Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.  Solid understanding of the full mobile development life cycle.  Strong problem-solving skills and ability to think analytically. Preferred Qualifications:  Bachelor's or Master's degree in Computer Science, Engineering, or a related field.  Experience with Kotlin programming language.  Familiarity with cloud message APIs and push notifications.  Experience with offline storage, threading, and performance tuning.  Ability to design applications around natural user interfaces, such as touch.  Familiarity with the use of additional sensors, such as gyroscopes and accelerometers.  Understanding of Google’s Android design principles and interface guidelines.  Proficient understanding of code versioning tools, such as Git. Job Types: Full-time, Fresher Pay: From ₹180,000.00 per year Job Types: Full-time, Permanent Pay: From ₹180,000.00 per year Benefits: Cell phone reimbursement Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Overtime pay Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Location: Tirupati, Andhra Pradesh (Preferred) Work Location: In person

Work Experience: 5+ years Must have skills:? 5+ years of Overall development experience and experience?in architecture, design, and third-party service integration, integration experience with web technologies. Extensive experience in?API's / Web services / Databases / Queuing / Background Job processing. Hands-on experience on SpringBoot framework to develop RestAPIs and Database integration. Extensive experience with successful implementations of highly scalable and highly available systems Experience with agile development processes, must be able to plan and execute sprints. Experience with AWS or Azure cloud technologies. Experience in API gateway integration and configuration. Should be familiar with and able to define deployment cycles, and manage multiple environments builds. Should be able to follow best practices and standards, and explore the technology landscape to evaluate alternative solutions to meet or exceed business functional and non-functional needs. Collaborate with business stakeholders to understand long & short-term business needs. Good understanding of JavaFX/Swing applications development. Nice to have: ?HTML?CSS,?Angular, JavaScript, MSSQL, JavaFlex, JavaFX Responsibilities may include, but are not limited to: Hands-on contribution to the?technical code and design documentation Support Product Evaluations and Technical proof-of-concepts Assist in responding to RFPs and RFIs Identify and evaluate the technologies that will be used for the projects based on requirements & technology trends Evaluate and recommend the development methodologies, frameworks, and modeling techniques Identify and address architectural challenges Ensure that the application design is adequately documented and approved Understand/apply reusable code design, leverage application architecture/framework capabilities and functionality, and design / develop solutions that are highly reliable, scalable, and perform to meet business-defined service levels Conduct code reviews and ensure quality solutions are built and tested Take full ownership of code quality and deliverables Help developers see the value of the architecture and understand how to use it successfully Requirements may include, but are not limited to: Technologies mentioned in the mandatory skills Expertise in?backend and frontend technologies (Java/Angular or any), Web services, APIs, and any RDBMS Development tools?(Maven, Ant, Jira, Eclipse) Build and Deployment using?DevOps tools like Jenkins. Any source versioning control tools expertise Good knowledge of OOPS concepts and design/integration patterns Strong research, analysis, problem-solving, and evaluation skills Strong analytical ability as it relates to system design Ability to present to stakeholders in an easily understandable manner Candidate should have experience in working on cloud-based platforms like AWS / Azure Knowledge of multiple front-end languages and libraries (HTML/ CSS, JavaScript, XML,?JSON, jQuery, AngularJS, NodeJS)? Excellent communication and teamwork skills. Degree in Computer Science, or relevant field.

Work Experience: 3 - 7 years We have a great opportunity for the React.Js Developer role. Position Role: React.Js Developer role Experience: 3 - 7 years Responsibilities may include, but are not limited to: Meeting with the development team to discuss user interface ideas and applications. Developing and implementing highly responsive user interface components using react concepts. Writing application interface codes using JavaScript following react.js workflows. Troubleshooting interface software and debugging application codes. Requirements may include, but are not limited to: Leverage the inbuilt React toolkit for creating frontend features Integrate designs and wireframes within the application code Create data visualization tools, libraries, and reusable code for prospects Proficient understanding of code versioning tool GIT. Good understanding of CSS libraries, GIT, Sigma, Adobe XD etc.

Role Description: We are seeking a Competency Leader to lead the design, development, and deployment of advanced AI and Generative AI (GenAI) solutions that deliver significant business value to our pharma clients. The ideal candidate will have extensive hands-on experience with AI/ML frameworks, cloud platforms, and MLOps, coupled with a deep understanding of GenAI technologies. LOCATION: Bangalore, Hyderabad, Mumbai, Pune, Noida Key Responsibilities: Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms (AWS, Azure) Collaborate with cross-functional stakeholders to align AI solutions with business objectives Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment Develop and train Generative AI models Perform data analysis and prepare data for AI model training Integrate AI models with Snowflake, AWS and other systems Required knowledge : 13+ years of experience in AI/ML development and deployment, including leadership roles Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit and vector databases. Good experience in building scalable (Gen) AI applications on AWS. Strong background and understanding of vector databases. Good knowledge in Python for data science, as well as streamlit for rapid deployment of prototypes. Experience to work in an agile Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion. Experience in building (Gen) AI solutions on Snowflake is a plus. Experience with Agentic AI build Key Skill: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. Show more Show less

Overview We are seeking a skilled Associate Manager - AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics. Show more Show less

Overview We are seeking a skilled Associate Manager - AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics. Show more Show less

Overview We are seeking a skilled Associate Manager - AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics. Show more Show less

Role: AV Workflow Manager Full Time Job, Shift work involved, Remote Possible. TRAILER PARK GROUP Trailer Park Group is a full-service agency specializing in content creation and entertainment marketing. By combining a storytelling expertise with large-scale production resources, Trailer Park is uniquely positioned to make, market, and distribute content for its diverse client portfolio of top entertainment studios and major brands. With content creation at the centre, we support our clients with strategy, creative and the latest in digital services. Trailer Park Group Mumbai is a creative agency with 140+ employees. We have an unparalleled team and believe that talent and passion have no limits. Our Mumbai office has an expansive portfolio spanning multiple digital first OTT campaigns across different Indian languages, and high-profile theatrical, gaming and ed-tech campaigns as well as content production. White Turtle Studios, a Trailer Park Group company, is looking for an experienced and highly passionate AV leader who is eager to take on diverse scaled video projects for our global clients. In this role you will collaborate, learn, and get to work on the creative campaigns of some of the biggest content brands. The Role: Reporting to the Director of Scaled Post-Production - India,) responsible for adapting and localizing marketing assets for global distribution. Both strategic and hands-on, this position is ideal for a technically savvy post-production professional with a strong background in editorial workflows, template creation, and team management. This role requires a detail-oriented leader with experience managing teams in fast-paced, high-volume, and deadline-driven environments. A proven track record of continuously evolving high-impact workflows to drive efficiency and quality is essential. Success in this position requires a solutions-oriented mindset, sharp attention to technical detail, and a strong sense of creative excellence. Responsibilities include maintaining, optimizing, and troubleshooting scalable systems and templates to ensure fast, accurate, and high-quality content delivery across platforms and regions. The right candidate is a calm, thoughtful leader with sound judgment and a bias towards action— able to provide stability and focus amid constant change and innovation. Key Responsibilities: Lead a team of operators, providing day-to-day management, constructive feedback, training, and quality control oversight. Build and manage dynamic templates and toolkits for Adobe Premiere Pro and After Effects to support rapid adaptation and deployment. Implement and optimize scalable post-production workflows for AV content, with a focus on versioning, localization, and high-output efficiency. Evaluate, implement, and train the team on automation tools and plug-ins that streamline production. Standardize naming conventions, file structures, and render workflows to ensure consistency across projects and platforms. Troubleshoot technical issues related to assets, templates, or software to keep workflows running smoothly. Collaborate with clients to align on branding guideline updates, regional customizations, and language-specific requirements, ensuring all templates remain current and accurate. Serve as the primary point of contact for scaled post-production operations, collaborating with project managers to align on specs, timelines, and priorities. Maintain documentation and knowledge bases to support scalable training and cross-functional alignment. Stay current with trends in post-production tools, software, and best practices, and actively bring improvements into the workflow. Qualifications: 5–7+ years of offline editing and motion graphics experience in an entertainment marketing agency, post-production house, or film/episodic TV environment. Short-form content preferred. 3+ years managing or supervising post-production teams in a high-volume environment. Client facing experience a plus. Expert knowledge of Adobe Creative Suite—especially Premiere Pro and After Effects—with hands-on experience creating and maintaining complex templates. Strong understanding of current and burgeoning post-production pipelines, codecs, file formats, and delivery standards (including 4K, HDR/SDR, broadcast, and digital platforms). Familiarity with automation tools and template-driven workflows for scalable production. Quick learner with the ability to adapt to new software, tools, and production technologies. Experience working with or managing localization workflows and international deliverables is a plus. Exceptional attention to detail, with strong consistency and accuracy across deliverables. Excellent organizational and time management skills, capable of prioritizing a high volume of work under tight deadlines. Fluency in English is required, with additional proficiency in Hindi preferred. Additional Indian or APAC languages is a plus. WORKING AT TRAILER PARK GROUP: We believe that great work is only possible with great people. We want to find people who believe in our mission, vision and values and feel inspired to grow while they are here. Our approach to flexibility is called “Work Your Way,” have flexibility to work remotely or in the office. Work where you can do your best work. OUR PEOPLE AND CULTURE We strive to create an inclusive culture that empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and bring more creativity and innovation to everything we do. We want Trailer Park Group to be one of the most rewarding places you will ever work. PROFESSIONAL DEVELOPMENT From entry-level employees to senior leaders, we believe there’s always room to learn. We offer a best-in-class training programs and opportunities to build new skills, develop as managers and leaders and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our staff have a variety of opportunities to continue to grow throughout their career. At Trailer Park Group (Trailer Park, Art Machine, Mirada Studios, Mutiny, MXW, White Turtle Studios, and Dark Burn Creative) we want to improve the state of our world. Each of us has a responsibility to drive equality and inclusion in our communities and workplace. We are committed to hiring and retaining a diverse workforce. We view everyone as an individual, and we understand that inclusion is more than just diversity – it is about belonging. We celebrate the fact that everyone is unique, and that is what makes us so good at what we do. We pride ourselves on being a company that embraces difference and truly represents the global clients we work with. Show more Show less

Experience: 5+ years Notice Period: Immediate Location: Bangalore Technical Skills : Experience with Spring Boot and microservices architecture. Must have experience with Springboot with JPA (Hibernate). Proficient in Java 8+, with a very strong knowledge of its ecosystems and design patterns. Solid understanding of object-oriented programming. Familiarity with concepts of MVC, JDBC, and RESTful APIs. Experience with both external and embedded databases. Understanding of fundamental design principles behind a scalable application. Basic understanding of the class loading mechanism in Java. Basic understanding of JVM, its limitations, weaknesses, and workarounds. Implementing automated testing platforms and unit tests. Good to have experience with containerization and microservices. Soft Skills : Proficient understanding of code versioning tools, such as Git. Familiarity with build tools such as Ant, Maven, and Gradle. Familiarity with continuous integration. Show more Show less