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 

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Level                    : Senior Consultant

Location             : Chennai

Experience         : 9 to 15 years

• Must be a seasoned IT Business Analyst
• Must have good experience in Payments domain
• Good Communication Skills
• Well versed with Agile and Scrum
• In depth understanding of agile methodologies

Overall 8+ years of experience in performance testing.

Should know App Dynamics Or any monitoring tools.

JOB DESCRIPTION: BACKEND DEVELOPER

Do you want to work in a fast growing company by doing meaningful work and have fun doing it? Remitbee, a FinTech with headquarters in Canada and office in Chennai is seeking a skilled Backend developer with experience in Node JS. Individuals who apply for Remitbee careers should be passionate about tech and driven towards innovating the industry further with the Remitbee team. This position will be based out of Chennai or Remote.

This position also comes with the opportunity for career growth and working hour flexibility. We look forward to reading your application. At least 3+ years of experience in backend technologies like Node.js, Express, Sequelize

What will you do?

• Work in an agile team of developers, QA, DevOps and founders
• Implement new systems and redesign legacy systems, using leading technologies, to support advancing Research business requirements
• Research and analyze business and system needs. Explore solution options to recommend designs and technologies
• Writing test cases
• 
  

Skills and requirements:

• At least 3 years of experience in backend technologies like Node.js, Express, Sequelize
• Experience with automated task runners such as Grunt or Gulp
• Experience in Database like MySQL and/or PostgreSQL
• Comfortable applying engineering best practices for Test Driven Development, integration testing version control, release management, work estimation and planning
• Experience to work with Rest and GraphQL APIs
• You know how to use Git,
• You are passionate about code quality. Writing tests and documentation belong to your natural workflow.
• Participate in or lead all parts of the software development lifecycle, including analysis, design, programming, testing, implementation, and support.
• A history of active contributions to open source projects

Type: Full time

Location: Chennai

Experience: 3+yrs (Required)

Notice Period: 0-30 days (Preferred)

Work timing: 9 AM - 6PM IST

.Net Full stack/Backend 

Responsibilities:

• Design, implement and test new features (frontend and backend), while maintaining and improving existing product line, with main focus on performance, scalability and usability aspects.
• Building application using of Microsoft Technologies stack (ASP.Net, .Net Core, WEB API)
• Hands on experience in leading micro front end applications and enterprise scale projects involving integrations to different touch points
• Apply coding/implementation best practices to produce elegant, high quality and reusable code.
• Collaborate with other developers and UX designers to improve look and usability.
• Implement Proof of Concept to validate concepts or new technology/features prior to product implementation.
• Implement and follow security best practices for web applications.
• Monitor and evaluate new technologies and their evolution in order to keep our products/technologies up-to-date and our team continuous improvement.
• Write good quality design and specification documents, in Confluence.
• Regularly archive source code and assets into source code repository. Perform code review of other team members and provide feedback/guidance.

Qualifications/Requirements

• Minimum of 3 years of Microsoft Technologies stack (ASP.Net, MVC, WEB API) having web development and UI development experience (frontend and backend).
• Proficient understanding of Single Page Application architecture and frameworks
• Must have exposure to any Relational DB (MSSQL, MYSQL).
• Strong understanding of data structure, SOLID Principles and problem solving skills.
• Strong understanding of Design Patterns for Real world problems.
• Conceptual knowledge of multi-threaded programming and performance monitoring tools.
• Experience in working on trending technologies, .Net Core, Node JS, NoSQL Databases.
• Experience in Micro-services architecture & Micro front end applications
• Experience with Unit Testing framework.
• Proficient understanding of Web UI test methodologies, frameworks and tools, such as BDD, Selenium.
• Proficient understanding of web markup, protocol and client-side scripting technologies in general, including HTML5, CSS3, JavaScript, AJAX, JSON, JQuery, REST API, Angular.
• Must possess strong attention to details, high aesthetical taste, and ability to apply user-centric design approach to produce a delightful and highly usable UI/UX.
• Additional Knowledge/experience Is a Plus
• Experience with automated deployment and associated technologies (helm/yaml/ansible/docker)
• Familiarity with code versioning tools
• Experience in Security Domain or Security Tools for Application Validation/Scanning will be a plus.
• Ability to effectively communicate design, specification, test and implementation details.
• Occasional flexibility to work outside of normal business hours to collaborate with remote teams.
• Proven tracks on the ability to work independently on assigned tasks.
• Excellent analytical and multitasking skills and ability to perform well in a fast-paced environment.

Key Skills:

.NET Core, .NET MVC, .NET , Windows services, Websockets , Client server , REST API, Angular JS , Angular 8+ , dockers , micro services

• Use prospecting strategies, such as Email Campaigns, Account Based Prospecting, LinkedIn Prospecting, Cold calling, Prospect Nurturing, to lead initial outreach to prospects
• Conduct high volume prospecting to generate qualified leads
• Prospecting to USA & SEA markets. 
• Create & update email templates, message templates, and call scripts from time to time
• Generate new leads: Identify and contact decision-makers, screen potential business opportunities.
• Research and identify new business opportunities - including new markets, growth areas, trends, customers, partnerships, products and services - or new ways of reaching existing markets
• Identify the needs and challenges of the prospective customer
• Identify key influencers and decision makers at target companies and convince them on the benefits of our solutions
• Schedule discovery meetings between prospects and sales manager
• Continuous follow-ups with prospects and clients
• Build relationships by nurturing warm prospects and finding new business opportunities
• Conduct needs assessments calls with specific prospects as assigned
• Qualify leads from marketing campaigns for sales opportunities
• Develop an overall account strategy that will lead to a well-executed, team based selling effort
• Build sales pipeline in accordance with targets
• Submit reports to Business Development Manager on weekly, monthly, and quarterly results
  

• 2+ years of experience in the IT industry
• Candidates should be willing to work evenings & nights to cold call the USA market, as and when required.
• Prior experience as a business development rep with IT Consultancies.
• Self-directing and agile, with the ability to pivot strategies quickly, as needed.
• Passionate, creative thinker with exceptional analytical skills. 
• Team player with superb collaboration and communication skills. 
• Outstanding communication and interpersonal skills.
• Keep current with business development strategies, best practices, and associated resources

We are currently looking for a Senior QA Engineer to join our fast-growing QA team. With our Product Engineering team rapidly iterating and deploying new code, our Test Engineers drive the crucial effort of designing automated test suites that are reliable and maintainable. This team is tasked with ensuring the automated testing of Socure’s existing code and developing thorough test approaches for new features and products. 

This role reports directly to our Director of QA, and will be based in Chennai, India. If you are someone who is motivated by solving problems and improving efficiencies, apply now! 

• Work closely with the rest of the Engineering team to deliver high quality products in an agile development environment
• Participate in product design discussions and sprint planning meetings
• Participate in full cycle SDLC: initial design, test implementation, identifying bugs, verifying bug fixes and production release
• Design and write comprehensive test plans and test cases for releases
• Perform manual and automated testing for REST web service APIs / web applications
• Build and enhance automated test suites and test harnesses
• Improve and maintain high coverage of regression automated tests
• Improve and innovate the tooling to run tests reliably and efficiently
• Test and verify requirements of newly implemented code by Engineering for Data Scientists
• Perform statistical analysis on project data for Data Science

• 5+ years of experience with testing, test automation and development
• Strong experience in designing and reviewing test plans and test cases
• Solid experience in both manual and automated testing for REST web service APIs and/or web applications
• Experience in automation frameworks, like testNG, Selenium or Cypress
• Strong coding skills in programming languages like Java, Scala or Javascript
• Experience working in an agile development environment
• Capable of comprehending and contributing to high level requirements and designs
• Good understanding of Linux / Unix platform

• Prior experience with Amazon Web Service (AWS)