Job description Java Microservices Developer JD: Backend Languages: Java (including Lambdas, Streams, Functional Interfaces) Frontend Technologies: Angular (v15+), TypeScript Frameworks: Spring Boot, Spring MVC, Spring Security, Spring Validation, Spring Data JPA, Docker ORM: Hibernate, JPA API Development: RESTful Web Services, Microservices (Spring Boot), SOAP Authentication & Security: Spring Security, JWT, OAuth 2 Databases: MySQL, Amazon RDS, Oracle Cloud & Deployment: AWS (EC2, S3, RDS), EKS Service Discovery: Kong Dependency Management: Maven API Testing & Documentation: Postman Other: Gitlab Preferred Okta, Kafka, SQS, Redis, Kong, AWS Certified, SonarCloud, Mend, New Relic Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: MS/M.Sc(Science) in Any Specialization, M.Tech in Any Specialization, Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Java Spring BootAPIAWSMicroservicesAngular MavenAws LambdaDockerTypescriptJwtGitlab

Job description Role & responsibilities: Visiting Construction companies offices and sites, generating enquiries and taking orders Preferred candidate profile: Graduate with 1 year of marketing experience , 2 wheeler must Role: Direct Marketing Industry Type: Industrial Equipment / Machinery (Construction Equipment) Department: Marketing & Communication Employment Type: Full Time, Permanent Role Category: Marketing Education UG: Any Graduate Key Skills Machinery Sales

Job description Role & responsibilities Conduct research in AI, focusing on LLMs, NLP, and Graph-based approaches Design and implement innovative algorithms and models to improve AI capabilities Collaborate with cross-functional teams to apply research findings to real-world applications Stay current with the latest advancements in AI and contribute to the company's intellectual property portfolio Key Skills: Large Language Models (e.g., Transformer architectures, few-shot learning, prompt engineering) Natural Language Processing (e.g., text classification, named entity recognition, sentiment analysis) Graph Neural Networks and graph-based machine learning Distributed computing and parallel processing Data analysis and visualization Scientific writing and presentation skills Required Qualifications: B. Tech / Masters in Computer Science, Artificial Intelligence, or a related field Prefer a Ph.D. in Computer Science, Artificial Intelligence, or a related field Strong background in machine learning, deep learning, and AI algorithms Experience in NLP techniques and Large Language Models Experience with Graph Neural Networks and graph-based machine learning approaches Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) Excellent programming and software engineering skills Preferred Qualifications: Ph.D. in Computer Science, Artificial Intelligence, or a related field Experience with distributed computing and large-scale machine learning systems Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) Knowledge of ethical AI and responsible AI development practices Experience with multi-modal AI systems combining language, vision, and other modalities Role: Research & Development - Other Industry Type: Software Product Department: Research & Development Employment Type: Full Time, Permanent Role Category: Research & Development - Other Education UG: B.Tech/B.E. in Information Technology PG: M.Tech in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills Natural Language Processing Artificial IntelligenceDeep Learning

Job description Role & responsibilities Responsibilities: Design, develop, and maintain Collibra workflows tailored to our project's specific needs. Collaborate with cross-functional teams to ensure seamless integration of Collibra with other systems. Educate team members on Collibra's features and best practices. (or) Educate oneself on Collibra's features and best practices. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills CollibraData PipelineData engineer

Job description Key Responsibilities: Design end-to-end ILM and archiving solutions tailored to enterprise business and regulatory needs. Develop and maintain ILM strategy and policies for structured and unstructured data. Lead the evaluation, selection, and integration of ILM/archiving tools and technologies (e.g., OpenText, IBM, SAP ILM, Azure Archive Storage, etc.). Collaborate with application, database, infrastructure, legal, and compliance teams to align ILM policies with regulatory requirements (e.g., GDPR, HIPAA, SOX). read more Key Skills Skills highlighted with ‘‘ are preferred keyskills data archivingArchivingILMSap Archiving

Job description Job Title - Salesforce Developer Roles & Responsibilities - Key Responsibilities: Salesforce Development Flow Management: Maintain and enhance the Opportunity Management flow, ensuring proper actions trigger when certain criteria are met. Develop and refine Screen Flows (e.g., creating new opportunities, inbound call handling, post-deployment questionnaires, and discovery questions for contacts). Process Modernization: Migrate remaining Classic processes to Lightning, including Proof of Concept, Project Registration, and Campaign processes. Advanced Customization & Coding: Implement and maintain custom APEX code, supporting additional projects and functionality as business needs evolve. Launch and maintain the CRM-A analytics to provide further insight for sales leaders. User Management: Manage new and departing user setup, licensing, and permissions. Provide user training and support to maximize adoption and adherence to best practices. System Maintenance & Improvements: Proactively monitor system performance, identify areas for improvement, and recommend solutions that enhance productivity and efficiency. Project Management & Collaboration Project Planning & Execution: Serve as project manager for Salesforce-related initiatives, planning tasks, setting timelines, and ensuring on-time delivery. Communicate progress, roadblocks, and priorities effectively to stakeholders. Cross-Functional Collaboration: Work closely with sales operations, marketing, and other teams to understand business requirements and translate them into technical solutions. Coordinate with external consultants or vendors when necessary. Continuous Improvement: Demonstrate initiative by suggesting process improvements after understanding business workflows and objectives. Stay current on Salesforce platform updates, new features, and best practices to drive ongoing optimization. Must have 2 years of Salesforce experience 2-3 years of Salesforce development experience. Salesforce Administrator and/or Developer certifications highly preferred. Skills & Competencies: Strong knowledge of Salesforce configuration (Workflows, Process Builder, Flows, Validation Rules, Security/Permissions, etc.). Experience with APEX, Lightning Components, and Salesforce integrations. Excellent data management skills with a focus on data hygiene, duplicates, and best practices. Proven project management skills with the ability to handle multiple priorities and meet deadlines. Exceptional communication and collaboration skills; able to translate business needs into technical requirements. Self-motivated, detail-oriented, and able to work both independently and in a team environment. Night shift 5:30 PM - 3:30 AM (IST) Role: Front End Developer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Sales Force Development Salesforce Sales CloudSalesforce.Com DevelopmentSalesforce CertificationSalesforce LightningSalesforce IntegrationSfdc DevelopmentSalesforce Service CloudSFDCSalesforce Marketing CloudApex Data LoaderApexApex ClassesSalesforce