11+ BIP Jobs in Chennai | BIP Job openings in Chennai

Oracle Cloud HCM Technical 

Experience- 6 – 12 years 

Location- Hyderabad, Chennai, Bangalore, Pune, Kolkata, Noida, Gurgaon, Mumbai 

1.Practitioner/expert level knowledge in at least 2 of the following tools: HDL, HCM Extracts, 

BIP Reports, OTBI Reports, REST Web services, Fast Formula 

2.In depth knowledge in at least two of HCM Cloud Modules: 

∙Core HR   

∙Absences   

∙Benefits   

∙Payroll   

∙Workforce Compensation 

∙OTL 

∙Taleo 

∙OLC 

∙Oracle recruit. 

1.Cloud -certification will be an advantage 

2.Very good communication skills and excellent problem-solving skills. 

3.Direct client interaction experience will be an advantage

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

• Oracle Integration Cloud (OIC) Development:
• Design, develop, and implement integration solutions using Oracle Integration Cloud (OIC).
• Build integrations between Oracle Cloud applications and on-premise or third-party applications.
• Create and maintain REST/SOAP-based web services and API calls for integration solutions.
• Implement process automation using OIC’s Process Automation capabilities.
• Monitor and manage integration flows to ensure optimal performance, security, and scalability.
• Platform-as-a-Service (PaaS) Expertise:
• Develop custom applications and solutions on Oracle PaaS (Java Cloud Service, Application Container Cloud, etc.).
• Deploy, manage, and support PaaS solutions for extending Oracle SaaS applications.
• Maintain cloud environments and ensure seamless integrations between PaaS solutions and Oracle applications.
• System Integration:
• Work with ERP systems like Oracle Fusion, EBS, and other third-party systems to build integrated solutions.
• Troubleshoot and resolve integration issues related to data flow, connectivity, and performance.
• Develop mappings, orchestration flows, and B2B/EDI integrations using the Oracle Integration Cloud.
• Stakeholder Collaboration:
• Collaborate with business analysts, functional teams, and IT teams to gather integration requirements and deliver effective solutions.
• Provide input into solution architecture and development strategies aligned with business needs.
• Document technical designs, configurations, and troubleshooting steps for future reference and team collaboration.
• Continuous Improvement:
• Stay updated with the latest Oracle Cloud and PaaS advancements, features, and best practices.
• Optimize integration processes to improve overall system efficiency, reduce errors, and ensure data integrity.
• Conduct performance tuning and optimize OIC flows for seamless data exchange between systems.

Required Skills & Qualifications:

• Education:
• Bachelor's Degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Experience:
• 5-10 years of hands-on experience in Oracle Integration Cloud (OIC) development and PaaS.
• Proven experience in developing and managing complex integrations between cloud and on-premise systems.
• Strong understanding of Oracle Cloud Applications (Fusion, HCM, ERP, etc.) and their integration requirements.
• Technical Skills:
• Expertise in Oracle Integration Cloud (OIC), Oracle SOA Suite, Oracle Cloud Infrastructure (OCI), and Oracle PaaS solutions.
• Hands-on experience with RESTful/SOAP web services, API development, JSON, XML, and XSLT.
• Proficiency with Oracle ERP, Oracle Fusion Middleware, Oracle Visual Builder, and related tools.
• Strong knowledge of cloud integration patterns, process orchestration, and B2B integrations.
• Familiarity with Oracle Autonomous Databases and Oracle SQL/PLSQL.
• Soft Skills:
• Excellent problem-solving skills with attention to detail.
• Strong communication and collaboration abilities across functional and technical teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Qualifications:

• Oracle Cloud certifications in OIC, SOA, or PaaS.
• Knowledge of DevOps practices and CI/CD pipelines for cloud deployment.
• Experience with cloud security best practices for PaaS and OIC.

Role Description

This is a full-time on-site role for a Business Operations Associate at DBaaS Software Private Limited in Chennai. The Business Operations Coordinator will be responsible for day-to-day operations, providing analytical support, assisting with administrative tasks, and delivering excellent customer service.

Qualifications

Strong business operations and analytical skills

Experience in providing administrative assistance

Excellent communication skills

Customer service-oriented mindset

Ability to work collaboratively in a team environment

Attention to detail and problem-solving abilities

Proficiency in Microsoft Office Suite

Experience in the software development or digital marketing industry is a plus

Bachelor's degree in Business Administration or related field

Develop a strategy to identify and evaluate tender opportunities aligned with the company's objectives and capabilities

Coordinate with various departments to gather the necessary information and documentation for the submission of tenders

Develop and submit compelling tender responses, ensuring that deadlines and project requirements are met

Communicate with clients and respond to queries during the tendering process

Analyze the tender results and provide feedback to the management for continuous improvement

Maintain close contact with project managers to ensure smooth project initiation, execution, and closure

Contribute to the definition of the scope, objectives, and deliverables of the project

Monitor the progress of the project and provide management and stakeholders with updates

Identification and mitigation of project risks and issues, and escalation thereof as necessary

Review and negotiate contract terms and conditions to ensure alignment with company goals and policies

Monitor contract performance and ensure contractual compliance

Responsible for amending, extending, and renewing contracts

Maintain accurate and up-to-date records of all contracts and related documents.

Process Improvement:

Analyze existing business processes related to tenders and projects, identifying areas for improvement

Enhance process efficiency, productivity, and quality through the development and implementation of process enhancements

Establish and maintain standard operating procedures (SOPs) for the management of tenders and projects

Job Title: Lead I - Product Implementation (Configuration - Healthcare Domain)

Location: Chennai

Experience: 3 – 12 Years

Mode: Hybrid (3 days office, 2 days WFH)

Role Overview

As a Configuration Lead – Product Implementation (Healthcare Domain), you will lead end-to-end product implementation projects, ensuring on-time, quality delivery while mentoring the implementation team. You will act as the bridge between clients, product teams, and engineering to drive customer success and continuous improvement.

Key Responsibilities

Lead and execute healthcare product implementation plans ensuring timely, high-quality delivery.

Mentor and guide a team of Configuration Analysts and Implementation Engineers.

Identify and resolve risks, dependencies, and technical challenges.

Build and enhance reusable tools, templates, and implementation assets.

Estimate efforts, define timelines, and maintain SLA compliance.

Conduct client demos, manage escalations, and ensure satisfaction.

Collaborate across configuration, integration, conversion, and testing functions.

Maintain documentation, reports, and gold environments for all configurations.

Mandatory Skills

Healthcare Domain Expertise: Deep understanding of claims, clinical operations, and payor systems.

Product Implementation Leadership: Proven track record in enterprise product/configuration delivery.

Configuration Management: Experience configuring core admin systems for healthcare platforms.

Agile Delivery: Experience in sprint planning, execution, and backlog management.

Technical Knowledge:

DevOps, CI/CD, and deployment processes.

Familiarity with AWS, Azure, or GCP.

Containerization (Docker, Kubernetes).

Team Leadership: Strong mentoring and guidance experience.

Communication: Strong verbal and written client-facing communication skills.

Quality & Compliance: Adherence to best practices and automation tools.

Preferred Skills

Hands-on experience with HealthRules Payor (HRP) or similar platforms.

Knowledge of Benefit, Pricing, and Provider Configuration.

Experience in configuration promotion through multiple environments.

Exposure to integration and conversion workflows in healthcare systems.

Prior consulting or client-facing implementation background.

Behavioral Attributes

Strong analytical and problem-solving mindset.

High ownership and accountability.

Effective time management and cross-functional collaboration.

Structured yet creative approach to solution delivery.

Job Description:

• Research customers' businesses, competitor collaterals and industry relevant content to come up with insightful content.
• Deliver content across formats as per content calendar.
• Interact with senior stakeholders to elicit thought leadership ideas and create content based on the same.
• Ensure grammar, correct usage and consistency of style across copies.
• Collaborate with SEO to ensure SEO-friendly content.
• Collaborate with designers to help create more effective visual content.
• Proofread all on and off page content and take responsibility of zero typo/grammar issues on ongoing basis.
• Content writing for similar companies covering all formats e.g website, blogs, white papers, blogs, brochures, fact sheets, infographics, videos, e-books, webinar scripts.

Skills & Experience:

• Technical background is a real plus.
• Proven working experience in technical writing of software documentation.
• Ability to quickly grasp complex technical concepts and make them easily understandable in text and pictures.
• Possesses excellent written skills in English to be able to communicate clearly and concisely with a keen eye for document design.
• Good working knowledge of MS Office applications.
• Self-starter and ability to work independently.
• Flexible/adaptable with ability to set and manage multiple priorities.
• Excellent written and oral communication skills.
• Experience : 2 to 5+ years of experience.
• Ensure grammar, correct usage and consistency of style across copies.
• Collaborate with SEO to ensure SEO-friendly content.
• Collaborate with designers to help create more effective visual content.
• Proofread all on and off page content and take responsibility of zero typo/grammar issues on ongoing basis.
• Content writing for similar companies covering all formats e.g website, blogs, white papers, blogs, brochures, fact sheets, infographics, videos, e-books, webinar scripts.
• Research customers' businesses, competitor collaterals and industry relevant content to come up with insightful content.
• Deliver content across formats as per content calendar.

Key Responsibilities:

• Analyze existing and potential content, focusing on reuse and single-sourcing opportunities.
• Build and maintain business and technical documentation.
• Communicate information and ideas clearly, and concisely, in writing.
• Perform quality checks on other deliverables and ensure the quality of own work before publishing.
• Publish documentation in correspondence with established guidelines.
• Create User Journeys for TeleCMI Products.

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams