1. About the Job - The candidate should require mandatory Oracle Senior CPQ Techno Functional Consultant Experience. 2. Job Title - Oracle Senior CPQ Techno Functional Consultant 3. Location - Noida, Mumbai, Pune, Bangalore, Hyderabad, Chennai 4. Educational Background - UG. B. Tech /B. E in any specialization PG. MCA/MTech/MBA/MSC 5. Key Responsibilities - Collaborate with business stakeholders to gather and analyse requirements for CPQ. Design and customize Oracle CPQ solutions to meet business needs. Configure Oracle Cloud CPQ. Strong understanding of CPQ business processes, including pricing, discounting structures, and approval workflows. Work on integrations with external systems. Develop and execute test plans to ensure the quality and functionality of implemented solutions. Create and maintain comprehensive documentation for configurations, customizations, and integrations. Manage and maintain CPQ configurations, including product bundles, pricing models, approval workflows, and BOM configurations. Support integrations with other enterprise systems such as Oracle ERP, and other third-party applications. Ensure seamless data flow and process integration. Monitor and optimize the performance of CPQ applications to ensure high availability and responsiveness. 6. Skills Required - Bachelor's degree in engineering or any degree. Minimum of 8 - 10 years of experience working with Oracle CPQ Cloud, including implementation, support, and customization. Build and optimize product bundles, pricing models, approval workflows, and BOM configurations. Implement advanced BOM rules and ensure robust guided selling processes. Expertise in Oracle CPQ/Big Machines and related integration platforms. Proficient in Big Machines Markup Language (BML), BMQL, JSON, JavaScript, HTML, CSS, and XML. Experience with Oracle Integration Cloud (OIC) and other middleware solutions. Experience with web services standards and technology including WSDL, SOAP, REST, XSL. Should be familiar with CPQ implementation best practices and standard documentation. Strong analytical and problem-solving skills to understand and address client requirements. Excellent communication and interpersonal skills, with a proven track record of collaborating with cross-functional teams across regions (APAC and North America). 7. Additional Requirements - Oracle CPQ certification. Experience with CRM systems, Oracle CRM, Sales force. Familiarity with data analysis and reporting tools.

About Birlasoft: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities. 1. Job Title - Devops Engineer 2. Location: Pune/Bangalore 3.Exp- 6-9 Years 4. Educational Background BE/Btech 5. Key Responsibilities Experience writing script languages in Helm, Groovy, Python, PowerShell, MS Build and Terraform. Extensive hands-on to integrating Maven, Gradle, package managers like NPM and JSPM, build tools to application builds and troubleshooting build issues. Prior experience with various technical container stacks Apache, Jboss, node module, tomcat, Spring boot, Docker, and RedHat container tools like Skopeo, buildah, and Podman. Experience administering and working with Azure DevOps, GitHub/Bit Bucket/GitLab, Jenkins, SonarQube, JFROG Artifactory/Nexus and SecOps tools like Synk is required. Strong knowledge of Container orchestration Platform like Kubernetes, OpenShift, AKS Knowledge of Dynatrace, Prometheus, Grafana, and Kiali is a plus. Experience working in the Ansible Automation platform would be a plus. Ability to work in a fast-paced environment, frequently collaborating with multiple teams for solutions support debugging, and troubleshooting.

About Birlasoft: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities. 1. Job Title: Platform Engineer 2. Location: Pune/Bangalore 4. Educational Background BE/Btech 5. Key Responsibilities Should have good knowledge in Kubernetes platforms like (Red Hat, Openshift, ARO, AKS, EKS, etc Red Hat/Istio Service Mesh Jenkins, GitHub, ArgoCD, Azure DevOps Artifactory Azure services Application servers (JBoss, JWS) Web servers (Apache, Nginx) Good experience in Docker and Podman Good knowledge and experience in Terraform, Ansible, and Python

About Birlasoft: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities. Job Summary:We are seeking a highly skilled and experienced Senior Oracle Fusion Order Management and Contracts Techno-Functional Consultant to join our AMS project team. The ideal candidate will have extensive experience in Oracle Fusion Order Management and Contracts applications, with a strong background in both technical and functional aspects. This role involves working closely with clients to understand their business requirements and providing ongoing support. Key Responsibilities: Provide day-to-day support for Oracle Fusion OM, Contracts cloud applications, including troubleshooting issues, performing root cause analysis, and implementing fixes. Support integrations with other enterprise systems such as Oracle ERP, and other third-party applications. Ensure seamless data flow and process integration. Monitor and optimize the performance of OM, Contracts cloud applications to ensure high availability and responsiveness. Manage incidents and problems related to OM, Contracts cloud applications, ensuring timely resolution and minimal impact on business operations.

Aboutus: EmpoweredByInnovation Birlasoft,agloballeaderattheforefrontofCloud,AI,andDigitaltechnologies,seamlesslyblendsdomainexpertisewithenterprisesolutions.Thecompany'sconsultativeanddesign-thinkingapproachempowerssocietiesworldwide,enhancingtheefficiencyandproductivityofbusinesses.Aspartofthemultibillion-dollardiversifiedCKABirlaGroup,Birlasoftwithits12,000+professionals,iscommittedtocontinuingtheGroup's170-yearheritageofbuildingsustainablecommunities. IT Business Analyst Chennai The Skills that are Key to this role You have passion for technology and the Procurement domain with demonstrated ability to learn quickly. You can convert requirements into user stories and act as a liaison between users and developers. You are Delivery focused with the ability to take full ownership. You have Experience working with distributed teams in different time-zones. You have Strong commitment to quality and engineering excellence. You have Strong communication skills, problem solving skills and adaptability. You have Experience in reverse engineering and understanding existing applications. You are a strong systems analyst with key functional knowledge across Procurement domain. Technical / Behavioural Experience in the systems analysis, design, development, testing and implementation of enterprise scale apps. Possess experience in Data Lake environments and the capability to write SQL queries for data analysis and troubleshooting. Experience in Procurement apps/platforms. You know various Testing stages and have good exposure to them. You know Agile methodologies or iterative development processes

About us: Empowered By Innovation Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities. Assignment Title: Senior Java Software Engineer Location: Bangalore Assignment Description: DDA R&D Physical Build Gloria team handles a critical initiatives like Forms in Next Gen Gloria , Modernization of Gloria, Integrations to SPOT & Torp ..etc. All our work as per One Rhythm is Priority 1 from GTT side as it's an important enabler for business. 7-10+ years of experience in Java technologies. Primary Skills: Core Java Spring, Spring Boot JPA/Hibernate ORM MicroServices Postgres SQL DB Build Tools (Git,Maven,Azure Devops & Docker) Secondary Skills: Azure Cloud Openshift RedHat Angular or React UI Incident management Documentation: Maintain comprehensive documentation of technical processes and procedures ITs an urgent requirement for a replacement of Contractor who has left Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Full-time Job Functions Information Technology Skills HibernateReact.jsJakarta PersistenceSpring BootJavaCore JavaGitOpenShiftBuild ToolsPost

Role/Title 4C Technical Specialist Primary Skills/expertise Proven experience as a Full Stack Java Developer or similar role, preferably involving the Struts framework and Agile methodologies Preferred skills/expertise Java 1.8, Spring Boot, Microservices, ReactJS, Experience on Development on cloud . Role & Responsibilities Job Description: Familiarity with frontend technologies such as HTML, CSS, and JavaScript, and experience in tools or frameworks like React for complete full-stack development Strong knowledge of Java and the Struts framework, with hands-on experience in developing web applications Hands on experience in Spring / Spring Boot / Cloud technologies Hands on Pivotal Cloud Foundry (PCF) environment Experience on Continuous integration and Continuous Development (CICD) process Hands on java backend developer, will be responsible for integrating different backend systems. Work closely with our clients, architects and frontend developers to define the integration with the client's back-end systems, determine implementation details, and realize those implementations. Experience in onshore and offshore development management model Excellent communication skills Technical Skills: Minimum of 4 7 + years development experience within Proven experience as a Full Stack Java Developer or similar role, preferably involving the Struts framework and Agile methodologies Understanding of design patterns ; Experience with Spring / Spring Boot / Cloud technologies Experience with Java EE, Maven; Experience with Spring and other Java frameworks / open-source libraries; Experience with Spring Security and SSO solutions; Experience Web Services (REST/SOAP) ; Experience with database applications such as Oracle, MySQL, DB2 as well as with SQL, JDBC and ORM tools; Experience providing sizing and scalability recommendations and solving connectivity and deployment issues; Experience deploying application servers in enterprise environments. Experience using Agile development methodologies.

Empowered By Innovation Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities. Role: Sr Lead- Salesforce Location: Only Gurgaon Experience: 7 10 Years Shift: 8AM to 4.30PM Job Profile ?Experience with Apex, Visualforce and the Lightning Component Framework. ?Advanced knowledge of Salesforce permissions, roles, reports, dashboards, etc. ?Experience with APIs and integrations. ?Experience working on an Agile development team. ?Experience with software development outside of the Salesforce ecosystem. ?Working knowledge and experience with complex business systems integration as well as object-oriented design patterns and development ?Experience and expertise in core web technologies including HTML5, Javascript and jQuery ?Software engineering skills with Force.com Platform (Apex, VisualForce, SOQL, Unit Testing) ?Software engineering skills with Java SE & EE (Java, JSF, SQL) preferred ?Demonstrated experience and knowledge of relational databases, data modeling, and ETL tools ?Communications, both verbal and written ?Nice to has Financial Services and Insurance domain skills ?Demonstrated experience in developing complex solutions and platforms ?Understanding of common patterns, frameworks, and reference architectures for FS domain ?Ability to lead a team, mentor engineers, and drive technical decision-making. ?Excellent problem-solving skills and a startup mindset with a passion for innovation. ?Force.com Certified Developer Certification desired ?Direct experience working on CRM projects for middle market and enterprise size companies. Soft Skills: Excellent organizational, verbal and written communication skills Ability to work in a fast-paced environment and manage priorities judiciously Strong commitment to customer service, employee efficiency, and company growth Superior analytical and problem-solving abilities Education: Minimum bachelor's degree preferably with master's degree in computer science or engineering discipline. 6 - 8 yrs of salesforce development experience.

The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions. Key Responsibilities: Application Development: Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. Cloud Platform Expertise: Leverage Azure, GCP, and AWS for deploying and managing GenAI applications. Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. Responsible AI Practices: Ensure ethical AI practices are embedded in the development process. RAG and Modular RAG : Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. Data Curation Automation : Build tools and pipelines for automated data curation and preprocessing. Technical Documentation : Create detailed technical documentation for developed applications and processes. Collaboration : Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. Mentorship : Guide and mentor junior developers, fostering a culture of technical excellence and innovation. Required Skills : Python Programming : Deep expertise in Python for building GenAI applications and automation tools. Productionization of GenAI application beyond PoCs Using scale frameworks and tools such as Pylint,Pyritetc. LLM Frameworks : Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. Anti-hallucination and anti-gibberish tools such as Bleu etc. Front-End Technologies : Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development. Cloud Platforms : Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI applications. Fine-Tuning Techniques : Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. LLMOps : Strong knowledge of LLMOps practices for model deployment, monitoring, and management. Responsible AI : Expertise in implementing ethical AI practices and ensuring compliance with regulations. RAG and Modular RAG : Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures. Data Modernization : Expertise in modernizing and transforming data for GenAI applications. OCR and Document Intelligence : Proficiency in OCR and document intelligence using cloud-based tools. API Integration : Experience with REST, SOAP, and other protocols for API integration. Data Curation : Expertise in building automated data curation and preprocessing pipelines. Technical Documentation : Ability to create clear and comprehensive technical documentation. Collaboration and Communication : Strong collaboration and communication skills to work effectively with cross-functional teams. Mentorship : Proven ability to mentor junior developers and foster a culture of technical excellence.

The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions. Key Responsibilities: Application Development: Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. Cloud Platform Expertise: Leverage Azure, GCP, and AWS for deploying and managing GenAI applications. Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. Responsible AI Practices: Ensure ethical AI practices are embedded in the development process. RAG and Modular RAG : Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. Data Curation Automation : Build tools and pipelines for automated data curation and preprocessing. Technical Documentation : Create detailed technical documentation for developed applications and processes. Collaboration : Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. Mentorship : Guide and mentor junior developers, fostering a culture of technical excellence and innovation. Required Skills : Python Programming : Deep expertise in Python for building GenAI applications and automation tools. Productionization of GenAI application beyond PoCs Using scale frameworks and tools such as Pylint,Pyritetc. LLM Frameworks : Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. Anti-hallucination and anti-gibberish tools such as Bleu etc. Front-End Technologies : Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development. Cloud Platforms : Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI applications. Fine-Tuning Techniques : Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. LLMOps : Strong knowledge of LLMOps practices for model deployment, monitoring, and management. Responsible AI : Expertise in implementing ethical AI practices and ensuring compliance with regulations. RAG and Modular RAG : Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures. Data Modernization : Expertise in modernizing and transforming data for GenAI applications. OCR and Document Intelligence : Proficiency in OCR and document intelligence using cloud-based tools. API Integration : Experience with REST, SOAP, and other protocols for API integration. Data Curation : Expertise in building automated data curation and preprocessing pipelines. Technical Documentation : Ability to create clear and comprehensive technical documentation. Collaboration and Communication : Strong collaboration and communication skills to work effectively with cross-functional teams. Mentorship : Proven ability to mentor junior developers and foster a culture of technical excellence.

The Implementation Technical Architect will be responsible for designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. This role requires deep expertise in Python programming, cloud platforms (Azure, GCP, AWS), and advanced AI techniques such as fine-tuning, LLMOps, and Responsible AI. The architect will lead the development of scalable, secure, and efficient GenAI applications, ensuring alignment with business goals and technical requirements. Key Responsibilities: Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. Open-Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. SDLC and DevSecOps: Implement secure software development lifecycle (SDLC) and DevSecOps practices tailored to LLM-based projects. Technical Documentation: Create detailed design artifacts, technical specifications, and architecture diagrams for complex projects. Stakeholder Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. Mentorship and Leadership: Guide and mentor junior developers and engineers, fostering a culture of innovation and technical excellence. Required Skills: Python Programming: Deep expertise in Python for building GenAI applications and automation tools. LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. Anti-hallucination and anti-gibberish tools such as Bleu etc. Cloud Platforms: Extensive experience with Azure, GCP, and AWS LLM ecosystems and APIs. Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. RLHF and RAG: Advanced skills in Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. Modular RAG: Deep understanding of Modular RAG architectures and their implementation. Hugging Face: Proficiency in using Hugging Face and similar open-source platforms for model development. Front-End Integration: Knowledge of front-end technologies to enable seamless integration of GenAI capabilities. SDLC and DevSecOps: Strong understanding of secure software development lifecycle and DevSecOps practices for LLMs. Data Curation: Expertise in building automated data curation and preprocessing pipelines. API Development: Experience in designing and implementing APIs for GenAI applications. Technical Documentation: Ability to create clear and comprehensive design artifacts and technical documentation. Leadership and Mentorship: Proven ability to lead teams, mentor junior developers, and drive technical innovation.

The Implementation Technical Architect will be responsible for designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. This role requires deep expertise in Python programming, cloud platforms (Azure, GCP, AWS), and advanced AI techniques such as fine-tuning, LLMOps, and Responsible AI. The architect will lead the development of scalable, secure, and efficient GenAI applications, ensuring alignment with business goals and technical requirements. Key Responsibilities: Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. Open-Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. SDLC and DevSecOps: Implement secure software development lifecycle (SDLC) and DevSecOps practices tailored to LLM-based projects. Technical Documentation: Create detailed design artifacts, technical specifications, and architecture diagrams for complex projects. Stakeholder Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. Mentorship and Leadership: Guide and mentor junior developers and engineers, fostering a culture of innovation and technical excellence. Required Skills: Python Programming: Deep expertise in Python for building GenAI applications and automation tools. LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. Anti-hallucination and anti-gibberish tools such as Bleu etc. Cloud Platforms: Extensive experience with Azure, GCP, and AWS LLM ecosystems and APIs. Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. RLHF and RAG: Advanced skills in Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. Modular RAG: Deep understanding of Modular RAG architectures and their implementation. Hugging Face: Proficiency in using Hugging Face and similar open-source platforms for model development. Front-End Integration: Knowledge of front-end technologies to enable seamless integration of GenAI capabilities. SDLC and DevSecOps: Strong understanding of secure software development lifecycle and DevSecOps practices for LLMs. Data Curation: Expertise in building automated data curation and preprocessing pipelines. API Development: Experience in designing and implementing APIs for GenAI applications. Technical Documentation: Ability to create clear and comprehensive design artifacts and technical documentation. Leadership and Mentorship: Proven ability to lead teams, mentor junior developers, and drive technical innovation.

Sr. Dataiku Expert - Job Description: We are looking for an inspired, energetic, and experienced Dataiku Developer/Support Engineer with 5 8 years of experience, who can translate ideas and requirements into a full-fledged and scalable ML flow. Candidates must have exposure to Dataiku 9 and above (or any similar Data/ML platform like Sagemaker, Alteryx, DataRobot, Domino), using AWS infrastructure along with a clear understanding of building custom code and visual recipes. The consultant hired will sit with the business first and understand and gather requirements. They will listen to the issues/problems in hand and formulate the desired solution. In order to be able to fulfill the desires of the business the candidate must have the following experience: Meeting with client stakeholders, troubleshooting Dataiku(or any similar Data/ML Platform) issues. Setting up, Building, and maintaining Code Environments on Dataiku(or any similar Data/ML Platform), AWS infrastructure and Linux Providing guidance to the end user Experience working with or helping clients with Dataiku flow, recipes, jobs, webapps Experience with Python, spark, or Pyspark coding language Experience on AWS (EC2, S3, EKS) Experience building or managing CI/CD pipeline using Jenkins. Nice to Have Experience working on MLOps Experience building Machine Learning models using any ML platform Experience writing automation scripts using Python, or Ansible Working on JIRA, Kanban

Summary: We are seeking an Oracle Apex Developer to join our team. The ideal candidate will have experience in Oracle Apex , as well as strong problem-solving and communication skills. Key roles & responsibilities: 1. Oracle APEX Development: Design, develop, and maintain Oracle APEX applications. Optimize application performance. Creating configurable reports and reusable components 2. PL/SQL Development: Design, develop, and maintain PL/SQL scripts, stored procedures, packages, triggers etc. Write complex SQL queries and optimize them for maximum performance. Creating reusable components. 3. Oracle LDAP: Candidates should be familiar with Oracle LDAP structure; on reading/updating the LDAP directories. Integrate Oracle APEX applications with Oracle LDAP for authentication and authorization. Manage and troubleshoot LDAP-related issues and configurations 4. Unix & Shell Scripting: Develop and maintain Unix shell scripts for automation of database tasks, data loading, and processes. Perform regular maintenance and monitoring and transferring of feed files Knowledge in SSH, SFTP and file encryption protocols 5. ETL Processes & Data Loading: Design and implement ETL processes for data extraction, transformation, and loading. Ensure data integrity and accuracy during the ETL process. Develop scripts and tools for data loading and migration. 6. REST & Web Service API: Develop and consume REST and Web Service APIs in Oracle APEX applications. Ensure secure and efficient communication between systems through API calls. Familiarised in various authentications in webservice calls. Required Skills Strong knowledge of oracle apex application development Qualifications: Bachelor's degree in computer science or any related field B. Tech, BE, BCA, etc. We are looking for someone who can join us immediately and hit the ground running, contributing effectively to our team and projects.

A Release Manager with BFSI domain Expertise, with technically strong Java Full stack expertise, typically has the following responsibilities: 1. **Release Planning**: Plan and coordinate the release schedule for software and application updates, ensuring they align with business objectives and minimize disruptions. 2. **Version Control**: Manage version control of Java-based applications and ensure that the codebase is properly organized and labeled for each release. 3. **Testing Coordination**: Coordinate with testing teams to ensure comprehensive testing of Java applications, including functional, integration, and regression testing. 4. **Risk Assessment**: Identify potential risks in the release process, assess their impact on banking operations, and develop mitigation strategies. 5. **Change Management**: Implement and enforce change management processes to track and control modifications to Java applications, ensuring compliance with industry regulations. 6. **Quality Assurance**: Oversee the quality of Java code and ensure that it meets coding standards, is well-documented, and complies with security and performance guidelines. 7. **Deployment Management**: Coordinate the deployment of Java applications, including setting up staging environments, managing configuration files, and ensuring a smooth transition to production. 8. **Incident Management**: Respond to and manage incidents or issues arising from releases, ensuring rapid resolution and minimal impact on banking services. 9. **Communication**: Maintain clear and open communication with various stakeholders, including development teams, operations, and business units, to keep them informed about the release progress. 10. **Documentation**: Create and maintain detailed documentation regarding release procedures, configurations, and dependencies, including Java libraries and frameworks. 11. **Continuous Improvement**: Continuously evaluate and improve the release process by adopting best practices and automation tools to enhance efficiency and reduce manual errors. 12. **Compliance and Security**: Ensure that releases comply with banking industry regulations and security standards, taking appropriate measures to protect sensitive customer data. 13. **Performance Optimization**: Collaborate with development teams to optimize the performance of Java applications, especially when dealing with high transaction volumes. 14. **Backup and Rollback Planning**: Develop contingency plans for data backup, recovery, and rollback in case of unexpected issues during the release. 15. **Training and Development**: Keep the release management team updated with the latest Java technologies, tools, and best practices to maintain a high level of expertise.

5 to 10 years of experience in Java, core java and advance java concepts and technologies. Software development experience. Hands on experience in Kafka Connect and Kafka messaging event streams. Must have experience in Java (Spring Boot), Microservices. Experience in Writing Junit Test cases Experience in Cloud platform like PCF, AWS. No SQL DB for eg: Cassandra. MongoDB and a solid understanding of when to use what. Expertise in OpenShift Kubernetes. Expertise in non-relational document database. Willing to learn new technologies and enjoys working in a dynamic fast paced environment. Have an engineering and consulting mind-set to help clients reach their transformation goals. Solid understanding of Agile methodology, estimation techniques and key ceremonies for effective management/collaboration. Has highly collaborative working style. Strong communication skills and participates actively in discussions with business customers, architects, and the team members.

Summary: We are seeking a Full Stack Developer to join our team. The ideal candidate will have experience in both front-end and back-end development, as well as strong problem-solving and communication skills. Key roles & responsibilities: Designing and developing complex web applications and services using front-end and back-end technologies. Collaborating with cross-functional teams to identify business requirements and technical specifications for web development projects. Troubleshooting and debugging software issues to ensure the smooth functioning of applications. Staying up to date with emerging trends and technologies in web development and recommending improvements to existing systems. Required Skills Strong knowledge of web development technologies such as Java, Springboot, Microservices and React JS. Experience with web development frameworks such as React js for front-end development. Qualifications: Bachelor's degree in computer science or any related field B. Tech, BE, BCA, etc. 5-10 years of experience in software development.

Primary Skills/expertise Java 1.8, Spring Boot, Microservices, React JS, Experience on cloud, log aggregator tool (Splunk/ELK Stack), Newrelic, python, Unix commands Preferred skills/expertise Oracle, MySQL, SQL server, HTML, JavaScript, bootstrap Role & Responsibilities Job Description: Hands on enterprise level J2EE based web application development and support Hands on experience in React JS, Spring / Spring Boot / Cloud technologies Experience on Pivotal Cloud Foundry (PCF) environment Experience in troubleshooting and debugging skills. Experience in support role with numerous B2B(business to business) functions such as production monitoring of data, error analysis, client correspondence(both electronic and phone) as well as deep dive investigation of issues stemming from failures. Ability to lead team. Experience in offshore production monitoring management model Provide guidance, assistance and mentoring support to junior team members Maintain ownership of issues until resolution, drive other teams as needed, set customer expectations accordingly. Good presentation skills Excellent communication skills Experience in kanban and ticket based model. Technical Skills: Minimum of 8+ years production monitoring experience within Java Web/Enterprise projects; Experience with Spring / Spring Boot / Cloud technologies Experience with Java EE, Maven; Strong experience in troubleshooting skills of JavaScript object model Through understanding of React.js and its core principles. Experience with popular React.js workflows (such as Flux or Redux). Experience with Spring and other Java frameworks / open source libraries; Experience with Spring Security and SSO solutions; Experience with SOA and Web Services (REST/SOAP); Experience with database applications such as Oracle, MySql and ORM tools; Experience providing sizing and scalability recommendations and solving connectivity and deployment issues; Experience using kanban methodology and production support ticket-based model. Experience in using python script & Unix commands Experience in using Newrelic & Splunk MarTech Products Google Analytics, Google Big Query. PCF - Pivotal Cloud Foundry CDP platform like Blueconic Personalization platforms like Dynamic Yield Ad platform like Kevel DAM platform CMS/UCM platform CRM platform Tagging management platform Email Service Provider solutions

Key Responsibilities: Design, build, and maintain full stack applications using .NET Core and React Develop and optimize API integrations between internal systems and external partners Automate development, testing, deployment, and operational workflows Provision, manage, and monitor cloud infrastructure (Azure and AWS) Implement and maintain CI/CD pipelines and testing frameworks Document integration architecture, automation processes, and infrastructure configurations Required Qualifications: 3+ years of experience in software engineering, with a strong focus on full stack development Proficiency in .NET Core (C#) for backend development Experience with modern React (Hooks, functional components) for frontend development Solid understanding of RESTful API design and system integrations Hands-on experience with cloud platforms, preferably Azure and/or AWS Familiarity with Infrastructure-as-Code tools such as Terraform Experience with CI/CD tools and automated testing practices Nice to Have: Experience with Python for scripting or automation tasks Knowledge of containerization (e.g., Docker, Kubernetes) Exposure to building data pipelines with Azure Data Factory or similar tools

We are seeking a hands-on, highly experienced AI engineer ?with deep expertise in LLMs, Retrieval-Augmented Generation (RAG), fine-tuning, and applied machine learning . You will help build next-generation investor relations and public relations tools powered by AI, including intelligent assistants, content generation, semantic search, and predictive analytics. Machine Learning + Deep Learning + Generative AI Key Responsibilities Design and implement RAG pipelines that combine proprietary data (e.g., press releases, earnings transcripts) with LLMs to generate accurate, secure outputs. Fine-tune open-source LLMs (e.g., LLaMA 2/3, Mistral, Mixtral) using instruction or LoRA-based methods for specific use cases such as branded content generation or question-answering. Build and optimize embeddings, Vector search algorithms proficenecy e.g. HNSW, FAISS, IVFFlat and Microsoft -> Semantic Kernel and semantic retrieval systems using tools like sentence-transformers, FAISS, Weaviate, or Pinecone. Collaborate with product and content teams to implement intelligent Q&A, press release graders, interview prep tools, and performance analysis assistants. Develop traditional ML models for anomaly detection, time-series forecasting, and engagement optimization (Prophet, XGBoost, scikit-learn, Chronos, ARIMA, Microsoft -> Semantic Kernel etc.). Integrate multimodal components such as TTS (e.g., ElevenLabs), image recommendation, and social publishing automation. Deep Learning in Neural Networks. Hands on experience in Tensorflow, Pytorch. Ensure secure and scalable deployment of AI systems (on cloud AWS, AWS Bedrock, AWS SegemakerAzure OpenAI, or in-house GPU infrastructure). Qualifications 14+ years of hands-on experience in ML/AI engineering or applied data science Proven experience with LLMs (GPT-4, Claude, LLaMA, Mistral, etc.) ?and RAG architectures Strong coding skills in Python ?and experience with LangChain, Hugging Face Transformers, OpenAI API, PEFT/LoRA. Experience fine-tuning LLMs using open-source frameworks and adapting models with domain-specific data Deep understanding of NLP, search , and vector-based retrieval systems Experience with time-series modeling, anomaly detection , or ML classification tasks Familiarity with DevOps or MLOps tooling for deploying and monitoring LLM-powered applications Excellent communication skills and ability to work cross-functionally with product, content, and engineering teams Preferred Experience in financial, PR, or media ?domains Familiarity with embedding alignment, model evaluation, and prompt engineering Comfortable working with both cloud APIs (e.g., OpenAI, Azure, Anthropic) ?and open-source LLMs Good to have: Postgressql vector db for embeddings, azure open ai services and c# .net 9 framework for building all business logic and services for our enterprise applications.?