Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform. Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation. Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Required education Bachelor's Degree Preferred education Non-Degree Program Required technical and professional expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms. Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

Developer leads the cloud application development/deployment for client based on AWS development methodology, tools and best practices. A developer responsibility is to lead the execution of a project by working with a level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Java 8 and above SpringBoot, Rest API and Containerization with Docker. Development experience in Java. Good communication skills. Any cloud exposure AWS/GCP/Azure Preferred technical and professional experience Creative Problem solving skills Good communication skills

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Oracle Technical Consultant (Fusion Middleware) – Senior Job Summary: We are seeking a proactive and experienced Oracle Technical Consultant (OCI) – Staff Level to join our team. The ideal candidate will have expertise in Oracle EBS/Cloud, a strong technical background, and experience in executing client transformation projects in ERP, Supply Chain, Procurement, and IT support.. Primary Responsibilities and Accountabilities: Assist in executing client transformation-related engagements in areas of Supply Chain, Procurement, Risk & Compliance, and ERP/IT support. Ensure high-quality work delivery. Identify engagement-related risks and escalate issues as appropriate. Establish and maintain strong relationships with clients (process owners/functional heads) and internal teams. Support Managers in meeting both client and internal KPIs Experience: Core experience in Oracle Technical activities Upto 3 years of relevant experience working in Oracle Fusion HCM (EBS / Fusion) Experience in at least one full life cycle implementation, with at least one implementation Experience with Oracle Fusion Middleware components such as Oracle SOA Suite, Oracle Service Bus (OSB), and Oracle BPM. Experience in major industry sectors like Retail, Government, Energy, Real Estate, Oil & Gas, Power & Utilities. Competencies / Skills: Proficiency in Java, J2EE, and WebLogic Server. Experience with Oracle WebCenter and Oracle Identity Management. Knowledge of Oracle ADF (Application Development Framework). Experience with Oracle API Gateway and Oracle API Management. Familiarity with Oracle Goldengate for data integration and replication. Experience with cloud-native development and microservices architecture. Knowledge of containerization technologies like Docker and Kubernetes. Experience with CI/CD pipelines and tools like Jenkins, Git, and Maven. Understanding of security best practices and compliance standards in middleware environments. Education: Should be a graduate along with a degree in as B.Tech or MBA. Oracle Certified. Bachelor’s degree in IT, Computer Science, or a related technical discipline. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Introduction Software developers at IBM are the backbone of our overall strategy, and software development is the essential activity that drives the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and technologies and work with leading minds in the industry to build products, path-breaking technologies, and solutions that you can be proud of. Do you have the skills and passion for building the future? If yes, join a niche team at IBM Software Labs focused on building an AI-driven Digital Labor platform, Watson Orchestrate, an AI platform that offers digeys (aka digital employees) with custom skills that can automate today’s businesses. Look for more details at https://www.ibm.com/products/watson-orchestrate Your Role And Responsibilities Participate in test driven coding and delivering of features of the product. Participate in the design and implementation of sophisticated software systems You will work with the Product Architects, Product Managers to understand various priorities and work towards the execution. Participate in software design and code reviews. Reviews include other Software Engineers and are held to ensure a high level of software quality and to share knowledge with team members. Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), and GitHub. Participate in the planning, creation and execution of automated test cases and load/performance testing. Create/maintain technical documentation. Maintain a high level of proficiency with Computer Science/Software Engineering knowledge and contribute to the technical skills growth of other team members. You will be providing vigilance and compliance to various software engineering, support and release processes e.g security, stack upgrades that are free of vulnerabilities etc. Preferred Education Bachelor's Degree Required Technical And Professional Expertise 5+ years of programming experience Robust system design and programming skills in Python -based backend application development OR NodeJS OR Java with Spring framework, ReactJS with Typescript or related technologies. Experience with Containers, Docker, Kubernetes, Linux Experience building distributed and scalable SaaS offerings based on REST APIs, microservices, and containers. Experience in system design and supporting cloud services Ability to learn and be productive on new technologies independently & quickly Experience in system design, code reviews etc. Good communication skills and technical leadership qualities Preferred Technical And Professional Experience Degree in Computer Science, , Engineering, or equivalent professional experience. Working experience on Docker/Kubernetes, the DevOps, Micro services, RedHat OpenShift, Java J2EE / Python /NodeJS Willing to work independently and work on quick proof of concepts. Show more Show less

Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. Implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. Experience in optimizing AI algorithms for performance and scalability. Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems effectively. Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.

Company Description GFK - Growth from Knowledge. For over 89 years, we have earned the trust of our clients around the world by solving critical questions in their decision-making process. We fuel their growth by providing a complete understanding of their consumers’ buying behavior, and the dynamics impacting their markets, brands and media trends. In 2023, GfK combined with NIQ, bringing together two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - delivered with advanced analytics through state-of-the-art platforms - GfK drives “Growth from Knowledge”. Job Description It's an exciting time to be a builder. Constant technological advances are creating an exciting new world for those who understand the value of data. The mission of NIQ’s Media Division is to turn NIQ into the global leader that transforms how consumer brands plan, activate and measure their media activities. Recombine is the delivery area focused on maximising the value of data assets in our NIQ Media Division. We apply advanced statistical and machine learning techniques to unlock deeper insights, whilst integrating data from multiple internal and external sources. Our teams develop data integration products across various markets and product areas, delivering enriched datasets that power client decision-making. Role Overview We are looking for a Principal Software Engineer for our Recombine delivery area to provide technical leadership within our development teams, ensuring best practices, architectural coherence, and effective collaboration across projects. This role is ideal for a highly experienced engineer who can bridge the gap between data engineering, data science, and software engineering, helping teams build scalable, maintainable, and well-structured data solutions. As a Principal Software Engineer, you will play a hands-on role in designing and implementing solutions while mentoring developers, influencing technical direction, and driving best practices in software and data engineering. This role includes line management responsibilities, ensuring the growth and development of team members. The role will be working within an AWS environment, leveraging the power of cloud-native technologies and modern data platforms Key Responsibilities Technical Leadership & Architecture Act as a technical architect, ensuring alignment between the work of multiple development teams in data engineering and data science. Design scalable, high-performance data processing solutions within AWS, considering factors such as governance, security, and maintainability. Drive the adoption of best practices in software development, including CI/CD, testing strategies, and cloud-native architecture. Work closely with Product Owners to translate business needs into technical solutions. Hands-on Development & Technical Excellence Lead by example through high-quality coding, code reviews, and proof-of-concept development. Solve complex engineering problems and contribute to critical design decisions. Ensure effective use of AWS services, including AWS Glue, AWS Lambda, Amazon S3, Redshift, and EMR. Develop and optimise data pipelines, data transformations, and ML workflows in a cloud environment. Line Management & Team Development Provide line management to engineers, ensuring their professional growth and development. Conduct performance reviews, set development goals, and mentor team members to enhance their skills. Foster a collaborative and high-performing engineering culture, promoting knowledge sharing and continuous improvement beyond team boundaries. Support hiring, onboarding, and career development initiatives within the engineering team. Collaboration & Cross-Team Coordination Act as the technical glue between data engineers, data scientists, and software developers, ensuring smooth integration of different components. Provide mentorship and guidance to developers, helping them level up their skills and technical understanding. Work with DevOps teams to improve deployment pipelines, observability, and infrastructure as code. Engage with stakeholders across the business, translating technical concepts into business-relevant insights. Governance, Security & Data Best Practices Champion data governance, lineage, and security across the platform. Advocate for and implement scalable data architecture patterns, such as Data Mesh, Lakehouse, or event-driven pipelines. Ensure compliance with industry standards, internal policies, and regulatory requirements. Qualifications Requirements & Experience Strong software engineering background with experience in designing and building production-grade applications in Python, Scala, Java, or similar languages. Proven experience with AWS-based data platforms, specifically AWS Glue, Redshift, Athena, S3, Lambda, and EMR. Expertise in Apache Spark and AWS Lake Formation, with experience building large-scale distributed data pipelines. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Cloud experience in AWS, including containerisation (Docker, Kubernetes, ECS, EKS) and infrastructure as code (Terraform, CloudFormation). Strong knowledge of modern software architecture, including microservices, event-driven systems, and distributed computing. Experience leading teams in an agile environment, with a strong understanding of CI/CD pipelines, automated testing, and DevOps practices. Excellent problem-solving and communication skills, with the ability to engage with both technical and non-technical stakeholders. Proven line management experience, including mentoring, career development, and performance management of engineering teams. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Company Description Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies and leading global brandsto transformand grow. We do thisthrough a collaborative and consultative approach,rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence.We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams, and are constantly looking for new colleaguesto join us who share our values, passion and appreciationfordiversity. Job Description About the Role As a DevOps Engineer you will work closely with our global teams to learn about the business and technical requirements and formulate the necessary infrastructure and resource plans to properly support the growth and maintainability of various systems. Key Responsibilities Implement a diverse set of development, testing, and automation tools, as well as manage IT infrastructure. Plan the team structure and activities, and actively participate in project management. Comprehend customer requirements and project Key Performance Indicators (KPIs). Manage stakeholders and handle external interfaces effectively. Set up essential tools and infrastructure to support project development. Define and establish DevOps processes for development, testing, release, updates, and support. Possess the technical expertise to review, verify, and validate software code developed in the project. Engage in software engineering tasks, including designing and developing systems to enhance reliability, scalability, and operational efficiency through automation. Collaborate closely with agile teams to ensure they have the necessary tools for seamless code writing, testing, and deployment, promoting satisfaction among development and QA teams. Monitor processes throughout their lifecycle, ensuring adherence, identifying areas for improvement, and minimizing wastage. Advocate and implement automated processes whenever feasible. Identify and deploy cybersecurity measures by continuously performing vulnerability assessments and managing risk. Handle incident management and conduct root cause analysis for continuous improvement. Coordinate and communicate effectively within the team and with customers. Build and maintain continuous integration (CI) and continuous deployment (CD) environments, along with associated processes and tools. Qualifications About the Candidate Proven 5 years of experience with Linux based infrastructure and proficient in scripting language. Must have solid cloud computing skills such as network management, cloud computing and cloud databases in any one of the public clouds (AWS, Azure or GCP) Must have hands-on experience in setting up and managing cloud infrastructure like Kubernetes, VPC, VPN, Virtual Machines, Cloud Databases etc. Experience in IAC (Infrastructure as Code) tools like Ansible, Terraform. Must have hands-on experience in coding and scripting in at least one of the following: Shell, Python, Groovy Experience as a DevOps Engineer or similar software engineering role. Experienced in establishing an optimized CI / CD environment relevant to the project. Automation using scripting language like Perl/python and shell scripts like BASH and CSH. Good knowledge of configuration and building tools like Bazel, Jenkins etc. Good knowledge of repository management tools like Git, Bit Bucket etc. Good knowledge of monitoring solutions and generating insights for reporting Excellent debugging skills/strategies. Excellent communication skills. Experienced in working in an Agile environment. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development At Quantanite, youʼll have a personal development plan to help you improve in the areas youʼre looking to develop in over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. Youʼll also have the opportunity to progress internally. As a fast growing organisation, our teams are growing, and youʼll have the chance to take on more responsibility over time. So, if youʼre looking for a career full of purpose and potential, weʼd love to hear from you! Show more Show less

Developer leads the cloud application development/deployment. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, Good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands Preferred technical and professional experience None

The position is for skilled test professionals to perform OS System test validation. They will perform stress and scaled scenarios on different versions of AIX / VIOS releases on variant of family Power processor releases. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Operating System Test experience with AIX/Linux (any OS flavor) Kernel concepts and OS Internals (Process Management, Memory Management, Virtualization, Scheduling, Networking, Security etc.) Write and execute test plans with the ability to ensure proper coverage based on customer requirements and workloads, and perform regression testing (Experience in Rational Quality Mgr is a plus) Proficient in Python, Shell scripting, Perl (Experience in Django, Pytest, and Robot Test Framework) Knowledge of end-to-end Jenkins jobs and management Automation using Python. Having exposure to Perl, Expect is good to have Strong UNIX Administration skills (Install/Manage OS, Filesystems/LVM, AIX/Linux Commands, IO, PowerVM functionalities). IBM Power Systems exposure preferred Knowledge of Agile and DevOps practices and methodologies including Continuous Integration (CI)/Continuous Deployment (CD)/Continuous Testing (CT) Working experience with Cloud Technologies ( front end and back end), with Docker, Kubernetes exposure preferred Ability to handle testing and debugging tasks independently Strong team player with good communication (verbal/written) and interpersonal skills Preferred technical and professional experience C or Java Programming Experience in Rational Quality Manager Knowledge of Rational SDLC Tools (RTC, CQ) Knowledge of Cloud Technologies Python for Automation

Experience in Modernizing applications to Container based platform using EKS, ECS, Fargate Proven experience on using DevOps tools during Modernization. Solid experience around No-SQL database. Should have used Orchestration engine like Kubernetes, Mesos Java8, spring boot, sql, Postgres DB and AWS Secondary Skills: React, redux , JavaScript Experience level knowledge on AWS Deployment Services, AWS beanstalk, AWS tools & SDK, AWS Cloud9, AWS CodeStar, AWS Command line interface etc and hands on experience on AWS ECS, AWS ECR, AWS EKS, AWS Fargate, AWS Lambda function, Elastic Chache, S3 objects, API Gateway, AWS Cloud Watch and AWS SNS Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Creative problem-solving skills and superb communication Skill. Should have worked on at least 3 engagements modernizing client applications to Container based solutions. Should be expert in any of the programming languages like Java, .NET, Node .js, Python, Ruby, Angular .js Preferred technical and professional experience Experience in distributed/scalable systems Knowledge of standard tools for optimizing and testing code Knowledge/Experience of Development/Build/Deploy/Test life cycle

"Ensure platform reliability and performance: Monitor, troubleshoot, and optimize production systems running on Kubernetes (EKS, GKE, AKS). Automate operations: Develop and maintain automation for infrastructure provisioning, scaling, and incident response. Incident response & on-call support: Participate in on-call rotations to quickly detect, mitigate, and resolve production incidents. Kubernetes upgrades & management: Own and drive Kubernetes version upgrades, node pool scaling, and security patches. Observability & monitoring: Implement and refine observability tools (Datadog, Prometheus, Splunk, etc.) for proactive monitoring and alerting. Infrastructure as Code (IaC): Manage infrastructure using Terraform, Terragrunt, Helm, and Kubernetes manifests. Cross-functional collaboration: Work closely with developers, DBPEs (Database Production Engineers), SREs, and other teams to improve platform stability. Performance tuning: Analyze and optimize cloud and containerized workloads for cost efficiency and high availability. Security & compliance: Ensure platform security best practices, incident response, and compliance adherence.." Required education None Preferred education Bachelor's Degree Required technical and professional expertise Strong expertise in Kubernetes (EKS, GKE, AKS) and container orchestration. Experience with AWS, GCP, or Azure, particularly in managing large-scale cloud infrastructure. Proficiency in Terraform, Helm, and Infrastructure as Code (IaC). Strong understanding of Linux systems, networking, and security best practices. Experience with monitoring & logging tools (Datadog, Splunk, Prometheus, Grafana, ELK, etc.). Hands-on experience with automation & scripting (Python, Bash, or Go). Preferred technical and professional experience Experience in incident management & debugging complex distributed systems. Familiarity with CI/CD pipelines and release automation.

HCL is hiring for AIML Developer role Location: Noida (Hybrid) Must have skills: Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering: The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Show more Show less

We're looking for a skilled Full Stack Software Engineer to join our team, specializing in Angular, Node.js, and Microservices architecture . You'll be instrumental in developing and maintaining robust, scalable applications from front to back. What you'll do: Design and build front-end applications with Angular Develop and manage back-end services using Node.js Implement and maintain microservices-based solutions Collaborate on feature development and ensure code quality Requirements 5+ years Full Stack Developer experience Proven experience with Angular (2+) and Node.js Strong understanding of Microservices architecture Experience with RESTful APIs and databases Familiarity with Git and agile methodologies Bonus points for: Cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, CI/CD. Benefits How to Apply: Please apply if you think you would be suitable for this role. We look forward to your application and the opportunity to welcome you to our team. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within two weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city. Show more Show less

We're looking for a skilled Full Stack Software Engineer to join our team, specializing in Angular, Node.js, and Microservices architecture . You'll be instrumental in developing and maintaining robust, scalable applications from front to back. What you'll do: Design and build front-end applications with Angular Develop and manage back-end services using Node.js Implement and maintain microservices-based solutions Collaborate on feature development and ensure code quality Requirements 5+ years Full Stack Developer experience Proven experience with Angular (2+) and Node.js Strong understanding of Microservices architecture Experience with RESTful APIs and databases Familiarity with Git and agile methodologies Bonus points for: Cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, CI/CD. Benefits How to Apply: Please apply if you think you would be suitable for this role. We look forward to your application and the opportunity to welcome you to our team. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within two weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city. Show more Show less

Viva Engage connects people through communities, bringing leaders and employees together to share knowledge, clarify priorities, and build relationships. Viva Engage (formerly Yammer) is the premier tool to create multi-directional dialogue between tens of millions of employees worldwide every month. Engage team members are at the forefront of driving AI applications and Copilot adoption to make communication and information sharing easy and authentic. Our work supports top challenges for our customers, including digital safety, trusted security standards, and deep analytics to help our customers maximize reach, reduce inefficiencies, and create a thriving organizational culture. We would love to have you join the team driving innovation, connection, and community for our valued global customers. Our engineers develop the services that power all our experiences. Viva Engage has a plethora of interesting engineering challenges - like supporting large-scale conversations and communities with hundreds of thousands of participants. We deploy new code every day to our tens of millions of users and are constantly innovating to improve the system and deliver a delightful experience. Our Stack Linux on Azure GraphQL API gateway Postgres, CosmosDB, Redis, RabbitMQ Java and Ruby on Rails services, deployed as docker containers Mesos and Kubernetes container orchestration Observability: Grafana metrics, Azure Data Explorer log aggregation React.js. Redux, Relay Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Lead the design and development of major services with tens of millions of users, operating in multiple global regions. Mentor and train other engineers in software best practices and design techniques. Help build and maintain a strong engineering culture. Provide strategic direction for the evolution of the Viva Engage technology stack, building alignment with other senior technical leaders. Collaborate with product, design, and engineering to deliver a delightful experience. Continually seek deeper insights into the performance and scalability of our systems. Experiment, A/B test key hypothesis to make data driven decisions. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proficient coding in languages such as C, C++, C#, Java, Ruby. Experience building large scale, resilient distributed systems. Possess efficient, tenacious debugging skills using logs and metrics. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. #VivaEngage Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Bison Global Search is seeking a Principal AI Engineer for a leading product company in Chennai . They work on some cutting-edge technologies in the BIOS Industry Please find below details about the role : Location: Chennai (please do not apply if you are not willing to relocate to Chennai) Company: Product Company (Leader in BIOS Products) Designation: Principal AI Engineer Skills Required: Python + RAG ( Retrieval-Augmented Generation) + Agentic AI Experience : 8 + years of experience as an AI engineer + Guiding and mentor a team of 3-5 AI engineers Please find below the complete JD. if this interests you, please apply to this email We are looking for a highly skilled Principal AI Engineer with deep expertise in Retrieval-Augmented Generation (RAG) and Agentic AI to lead our AI initiatives and drive innovation in FW and Data Center AI solutions . This role requires a strategic thinker who can design and deploy scalable AI architectures, integrate LLMs with retrieval-based techniques, and develop intelligent agentic systems that autonomously interact with data, APIs, and workflows. This role will lead the design and deployment of cutting-edge AI-driven solutions, focusing on LLMs for code synthesis, automated testing, and intelligent autonomous agents that enhance software development workflows with strong technical expertise, strategic vision, and leadership to build and deploy AI-driven products that align with business goals. Key Responsibilities: AI Strategy and Leadership: Define and execute AI strategies focused on RAG-based retrieval, code generation, and AI-assisted software engineering Work with stakeholders to align AI capabilities with business objectives and software development needs Research and integrate cutting-edge LLMs and autonomous AI agent architecture into development processes. RAG & Agentic AI Development: Develop RAG pipelines that enhance AI‘s ability to retrieve relevant knowledge and generate context-aware responses. Build and optimize agentic AI systems that can interact with APIs, databases, and development environments (such as LangChain, OpenAI APIs, etc.) Implement AI-powered search, chatbots, and decision-support tools for software engineers. Fine-tune LLMs (GPT, Llama, Mistral, Claude, Gemini etc.) for domain-specific applications. Optimize retrieval mechanisms to enhance response accuracy, grounding AI outputs in real-world data Code generation & Test case Automation: Leverage LLMs to generate high-quality, production-ready code Develop AI-driven test case generation tools that automatically create and validate unit tests, integration tests, and regression tests Integrate AI-driven code assistants and programming agents into IDE and CI/CD workflows Optimize prompt engineering and fine-tuning strategies for LLMs to improve code quality and efficiency MLOps & Scalable AI Systems: Architect and deploy scalable AI models and retrieval pipelines using cloud-based MLOps pipelines (AWS/GCP/Azure, Docker, Kubernetes) Optimize LLMs for real-time AI inferencing , ensuring low latency and high-performance AI solutions. Collaboration: Work cross-functionally with product teams, software engineers, and business stakeholders to integrate AI solutions into products. Mentorship: Guide and mentor a team of 3-5 AI engineers in LLM fine-tuning, retrieval augmentation, and autonomous AI agents. Establish best practices for AI-assisted software development, secure AI integration, and bias mitigation. Research & Innovation: Commitment to staying updated with the latest AI and machine learning research and advancements . Ability to think creatively and propose innovative solutions to complex problems. Model Development: Ability to design, train, and evaluate various AI models , including LLMs and standalone models —familiarity with model training tools and frameworks like Hugging Face Trainer, Fairseq, etc . Required Qualifications: Education: Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field. Experience: 8+ years of experience in AI and machine learning, with at least 2 years of experience working on LLMs, code generation, RAG, or AI-powered automation . Technical skills: Proficiency in Python, Tensorflow, PyTorch, and LangChain Experience with LLM fine-tuning for code generation Strong expertise in vector databases (FAISS, Weaviate, Chroma, Pinecone, Milvus) and retrieval models Hands-on experience with AI-powered code assistants (Copilot, code Llama, Codex, GTP-4) Knowledge of automated software testing, AI-driven test case generation, AI-assisted debugging Experience with multi-agent AI systems (LangGraph, CrewAI, AutgoGen, OpenAI Assistants API) for autonomous coding tasks Knowledge of GoLang for building high-performance and scalable components and unit test case generation using CMocka is a plus. Hands-on model development, working with business stakeholders to define KPIs and develop and deliver multi-modal (Text and Images) and ensemble models. Develop novel approaches to solve firmware lifecycle management code generation and customer support issues. Implement advanced natural language processing and computer vision models to extract insights from diverse data sources , user-generated data, and images. Automate model lifecycle management . Stay updated with AI and machine learning technology advancements to drive Firmware Lifecycle Management. Analytical & Problem-Solving: Analytical Thinking: Strong analytical skills to interpret complex data and derive actionable insights. Problem-Solving: Ability to troubleshoot and resolve technical issues related to AI models and systems. Research & Innovation: Continuous Learning: Commitment to staying updated with the latest research and advancements in AI and machine learning. Innovation: Ability to think creatively and propose innovative solutions to complex problems. Soft Skills: Communication: Excellent verbal and written communication skills. Adaptability: Ability to adapt to changing technologies and project requirements. Team Player: Strong interpersonal skills and the ability to work well in a team environment. Preferred Qualifications: Experience with deploying and maintaining AI models in production environments . Familiarity with RAG-specific techniques like knowledge distillation or multi-hop retrieval . Understanding of reinforcement learning and active learning techniques for model improvement . Previous experience with large-scale NLP systems and AI-powered search engines . Contribution to AI research, patents, or open-source development Show more Show less

Dear Candidate; Greetings from!! Vinga Software Solutions Product Details Bautomate is a Intelligent Business Process Automation Software comprehensive hyper automation platform housed within a single software system. | AI-Powered Process Automation Solution Vinga Software Solutions is the Parent Company of Bautomate Product https://www.vinga.biz/about/ and you'll be in the role of Vinga Software Solutions. About The Product Bautomate offers cognitive automation solutions designed to automate repetitive tasks, eliminate bottlenecks, and enable seamless workflows. The product combines artificial intelligence, business process management, robotic process automation (RPA), and optical character recognition (OCR) to streamline and optimize various business processes. It provides a transformative solution to empower businesses of all sizes across industries to achieve unprecedented levels of productivity and success. Unique Features Of Bautomate's Business Process Automation Solutions Include Workflow Automation: Bautomate's intuitive drag-and-drop interface enables users to easily automate complex workflows, leveraging pre-built components for effective intelligent automation. Data Integration: Seamless integration with all existing systems and applications ensures smooth data transfer and real-time information exchange, enhancing collaboration and decision-making. Intelligent Analytics: By harnessing advanced analytics capabilities, businesses can gain valuable insights into their processes, identify areas for improvement, and make data-driven decisions. It allows organizations to optimize their operations and drive growth based on comprehensive data analysis. Cognitive Automation: Our comprehensive solution encompasses Intelligent Document Capture utilizing OCR & NLP, Predictive Analytics for Forecasting, Computer Vision and Image Processing, Anomaly Detection, and an Intelligent Decision Engine. Scalability and Flexibility: Bautomate platform is highly scalable, accommodating the evolving needs of businesses as they grow. It offers flexible deployment options, including on-premises and cloud-based solutions. About Us: We are leading provider of business process automation, aiding firms to streamline operations, boost efficiency, and spur growth. Our suite includes AP automation, purchase order automation, P2P automation, invoice automation, IVR testing automation, form etc. AI/ML Developer – Lead (LLM & Gen AI) Experience Required: 5 to 9 years Job Location: Madurai Role Overview We are looking for a Senior AI/ML Developer with expertise in Large Language Models (LLM) & Generative AI. The ideal candidate should have experience in developing and deploying AI-driven solutions. Key Responsibilities Design and develop AI/ML models focusing on LLMs & Generative AI. Collaborate with data scientists to optimize model performance. Deploy AI solutions on cloud platforms (AWS, GCP, Azure). Lead AI projects and mentor junior developers. Required Skills Expertise in LLMs, Gen AI, NLP, and Deep Learning. Strong coding skills in Python, TensorFlow, PyTorch. Experience in ML model deployment using Docker/Kubernetes. Knowledge of cloud-based AI/ML services. Can you pls fill these details Total Work Experience Experience in AI/ML : Exp In LLM & Generative AI Exp in NLP, deep learning, python / pytorch / tensorflow : Exp in Current CTC ; Expected CTC Last working day : Notice Period Current Location : Native Place Reason for Job Change : Marital Status Do you have any offer in hand : Skills:- Machine Learning (ML), Artificial Intelligence (AI), Generative AI, Python, Large Language Models (LLM) tuning, Deep Learning and Natural Language Processing (NLP) Show more Show less

About Us Cywarden is a US-based cybersecurity company with a global presence, focused on delivering advanced security solutions to organizations across industries. We’re a team of passionate professionals committed to securing digital ecosystems with cutting-edge cloud, network, and application security strategies. Job Summary We are seeking a skilled and motivated Cloud Security Engineer with 2-3 years of experience to join our growing team. The ideal candidate should have hands-on experience in securing cloud infrastructure (AWS/Azure/GCP), monitoring threats, and implementing security best practices across cloud environments. Key Responsibilities Implement and manage cloud security measures to protect infrastructure, data, and applications. Monitor cloud environments for threats, vulnerabilities, and suspicious activities. Work with DevOps and engineering teams to integrate security in CI/CD pipelines. Perform regular cloud security assessments and audits. Respond to cloud-related security incidents and support investigation processes. Maintain up-to-date knowledge of cloud security trends and compliance standards. Assist in implementing identity and access management (IAM) policies and controls. Required Skills & Qualifications Bachelor’s degree in Computer Science, Information Security, or related field. 1–2 years of experience in a cloud security or cloud engineering role. Practical knowledge of AWS, Azure, or GCP cloud platforms. Familiarity with tools such as CloudTrail, GuardDuty, Security Hub, or similar. Understanding of IAM, VPC, encryption, and key management. Basic scripting skills (Python, Bash, etc.) are a plus. Good communication and documentation skills. Preferred Qualifications Certifications like AWS Certified Security – Specialty, Microsoft Certified: Security, or equivalent. Experience with container security (e.g., Docker, Kubernetes). Exposure to compliance frameworks (e.g., SOC 2, ISO 27001, NIST). Job Types: Full-time, Permanent Pay: ₹362,847.29 - ₹1,213,956.83 per year Schedule: Night shift Location: Mohali, Punjab (Required) Shift availability: Night Shift (Required) Work Location: In person

At GKM IT , we believe great technology is built on clean logic, smart architecture, and collaboration that just clicks. We're hiring a Node.js Engineer - Senior I to help us power scalable, secure, and high-performing backend systems. If you enjoy building the brains behind brilliant applications, love writing elegant code, and thrive in cross-functional teams—this is your stage. You’ll be responsible for developing core server-side logic, integrating with front-end systems, and optimising for speed, security, and scalability. Requirements 3 to 5 years of hands-on experience with Node.js backend development Solid experience building and maintaining RESTful APIs and data-driven applications Design, develop, and maintain robust server-side application logic Collaborate with front-end developers to deliver seamless, end-to-end features Write clean, efficient, and testable code that’s easy to understand and maintain Optimize applications for speed, scalability, and low-latency performance Ensure data protection and application security best practices are followed Design and integrate data storage solutions that are reliable and efficient Strong knowledge of JavaScript and TypeScript Deep understanding of Node.js architecture and asynchronous programming Familiarity with HTML5, CSS3, and front-end/backend integration Hands-on experience with npm, package management, and related tools Experience with implementing authentication, authorization, and permission controls Knowledge of integrating various databases, data sources, and output methods for mobile/desktop Ability to build scalable, maintainable Node.js applications Proficient with Git and version control best practices A strong sense of product ownership and the ability to think beyond code Experience with containerization tools (Docker, Kubernetes) Familiarity with GraphQL or WebSockets Understanding of CI/CD pipelines and cloud deployment (AWS/GCP/Azure) Contributions to open-source Node.js libraries or frameworks & prior work on high-traffic or enterprise-grade applications Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated. Show more Show less

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy. Pyramid overview Roundel is Target’s entry into the media business with an impact of $1B+; an advertising sell-side business built on the principles of first party (people based) data, brand safe content environments and proof that our marketing programs drive business results for our clients. We are here to drive business growth for our clients and redefine “value” in the industry by solving core industry challenges vs. copy current industry methods of operation. Roundel is a key growth initiative for Target and lead the industry to a better way of operating within the media marketplace. Target Tech is on a mission to offer the systems, tools and support that our clients, guests and team members need and deserve. We drive industry-leading technologies in support of every angle of the business, and help ensure that Target operates smoothly, securely, and reliably from the inside out. Role Overview As a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertize in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences. We are looking for a highly skilled and motivated Senior Backend Developer with deep expertise in Java or Kotlin and modern backend technologies. You will be responsible for designing, building, and maintaining scalable backend systems that power our platform. If you're passionate about building high-performance APIs, optimizing data flow, and working with large-scale systems, we'd love to meet you. Key Responsibilities Design, develop, and maintain robust backend services using Java or Kotlin and Spring Framework (Spring Boot, Spring Data, etc.). Develop RESTful APIs and backend components that are secure, scalable, and performant. Work with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Work with Kafka and Kafka Streams. Integrate and optimize Elasticsearch for advanced search functionality. Write clean, maintainable, and testable code with proper documentation. Participate in system design, architecture discussions, and code reviews. Collaborate with product managers, frontend developers, and QA engineers to deliver seamless features. Ensure system reliability, performance tuning, and monitor services in production. * Follow DevOps and CI/CD best practices. Required Qualifications 5+ years of backend development experience. Strong programming skills in Java or Kotlin. Deep understanding of the Spring ecosystem (Spring Boot, Spring Security, etc.). Solid experience in working with both relational and non-relational databases. Experience implementing Elasticsearch in production systems. Proficiency in designing and consuming RESTful APIs. Experience with microservices architecture and distributed systems. Strong problem-solving and debugging skills. Familiarity with version control tools like Git and CI/CD tools (Jenkins, GitHub Actions, etc.). Good to Have Experience with containerization and orchestration (Docker, Kubernetes). Exposure to cloud platforms (GCP, AWS, Azure). Useful Links Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture - https://india.target.com/life-at-target/belonging Show more Show less

Strong proficiency in C#, .NET Core/.NET 6+ . Experience with Web API , RESTful services, and microservices architecture. Hands-on experience with Azure Functions , AKS , Azure App Services , and Azure Storage . Good understanding of containerization using Docker and orchestration using Kubernetes . Familiarity with SQL Server , Cosmos DB , or other databases. Experience with CI/CD pipelines and tools like Azure DevOps . Knowledge of front-end technologies like Angular , React , or Blazor is a plus. Skills:- ASP.NET, .NET, C#, Microsoft Windows Azure, AKS, Kubernetes and Azure Show more Show less

Job Title: Senior Data Scientist Location: Hyderabad, India Experience Level: 3+ years Job Summary We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development. Required Skills & Qualifications  Programming: Proficiency in Python.  Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.  NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.  Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.  Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.  Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.  Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.  Django: Experience in building and maintaining backend services and APIs.  Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.  REST API Development: Experience in developing and integrating APIs for AI powered applications.  Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Skills:- Natural Language Processing (NLP), Deep Learning, Large Language Models (LLM) tuning and Computer Vision Show more Show less

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 3 years of professional experience in developing and deploying AI/ML solutions. Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers. Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services. Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts. Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Proven experience working with the Azure cloud platform and its AI/ML and container services. Familiarity with data engineering concepts and tools for data processing and preparation. Experience with CI/CD pipelines and DevOps practices. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications Experience with MLOps practices and tools for managing the ML lifecycle. Familiarity with other cloud platforms (e.g., AWS, GCP). Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis). Contributions to open-source AI/ML projects. Relevant certifications in AI/ML or cloud technologies. Skills:- Python, Large Language Models (LLM), TensorFlow, Docker, CI/CD and Natural Language Processing (NLP) Show more Show less

Skills Skill SDLC PL/SQL Solution Architecture Java Unix .NET SOA Microsoft SQL Server SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Role Data Scientist Educational Qualification ME/BE / MCA Experience Required 4+ Years Shifts Day shift Skills & Responsibilities Experience4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALLE, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.