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

We have opening for Relationship Manager- Broking

Job location: Goa / Dhule / Jalgaon

Exp: 1 to 6 years

Working Days: 6 Days Working (1st, 3rd, 5th Saturday off, 2nd and 4th Working)

Working Timing: 9:30 AM to 6:30 PM

Relationship Manager- Broking

Key Responsibilities

• Build and maintain strong relationships with Authorized Partners (APs).
• Drive business growth and enhance partner revenue.
• Provide training, mentoring, and activation support for business partners.
• Ensure compliance with regulatory and procedural standards.
• Promote stock broking products such as Smallcase, Stock SIP, MTF, Investments & Trading.
• Engage, motivate, and develop business partnerships.
• Deliver service excellence and meet key business KPIs.

Requirements

• Minimum 1 year of experience in broking/financial markets.
• Strong communication & relationship management skills.
• Good knowledge of financial markets & trading.
• Comfortable working in a target-driven environment.

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Job Details

Job Title :SAP HCM

Job Location : Hybrid @ Hyderabad/Bengaluru/chennai/pune/kolkata/gurugram/mumbai

Payroll firm : Visionyle Solutions ( www.visioyle.com)

Job Type : C2H

Job Description:

Mandatory Skills:

• SAP HCM Consultant
• SAP Payroll
• Sap Time management

Roles & Responsibilities

SAP Payroll

• Configure and support SAP HCM Payroll processes based on business requirements.
• Manage payroll schemas, rules, wage types, payroll areas, and payroll control records.
• Execute payroll runs and resolve payroll-related issues and discrepancies.
• Configure statutory payroll requirements, deductions, taxes, and benefits.
• Perform payroll validation, reconciliation, and post-payroll activities.
• Support payroll audits and ensure compliance with organizational and statutory regulations.
• Collaborate with HR and Finance teams for payroll processing and reporting.

SAP Time Management

• Configure and maintain work schedules, holiday calendars, absence and attendance types.
• Manage leave management, shift planning, overtime, and time evaluation processes.
• Configure Time Management schemas, rules, quotas, and counting rules.
• Support integration between Time Management and Payroll modules.
• Troubleshoot time evaluation errors and resolve attendance-related issues.
• Ensure accurate time recording and compliance with labor regulations.

SAP HCM

• Gather, analyze, and document business requirements.
• Configure and customize SAP HCM modules as per client requirements.
• Perform system testing, integration testing, and user acceptance testing (UAT).
• Provide production support and resolve functional issues.
• Prepare functional specifications and support technical teams during development.
• Conduct end-user training and create process documentation.
• Participate in SAP implementation, upgrade, rollout, and support projects.

Job Title: Sales Associate – VADAI (Value-Aided Delta with Artificial Intelligence)

Location: South India – Preferably Chennai, Bangalore, or anywhere in Tamil Nadu

Type: Full-Time

Compensation: Fixed Monthly Pay + 10% Commission from Second-Month Revenue of Each School Closed

About VADAI

VADAI is an AI-powered education engine designed to transform school learning across India. By measuring a student’s understanding and adapting to their individual pace, VADAI enhances academic growth, ethical learning, and career readiness — far beyond what traditional ERPs or LMS platforms can provide.

Our mission is to make this advanced, AI-driven learning accessible to all — from urban metros to rural and government schools — through smartphones, tablets, and desktops. We're here to build a stronger educational foundation for the future of India.

Key Responsibilities

Identify and visit schools within your territory; pitch to principals or decision-makers in person.

Professionally present printed brochures, demo kits, agreements, and your company credentials during visits.

Clearly explain the benefits of VADAI in a calm, simple tone and secure demo appointments or agreements.

Follow up diligently and help schools feel confident about onboarding.

Maintain and regularly update visit details, status, and contact information in a shared Google Sheet.

Coordinate with internal teams to ensure smooth onboarding and implementation for every school.

Be available on-site during Demo Days, addressing questions from students and teachers.

Incentives & Career Growth

Fixed Monthly Salary to support basic travel and field expenses.

10% Commission on the second-month revenue from each school deal you close.

Top performers will receive a Certificate of Excellence based on number of schools closed, timeline, and rank.

Opportunity to be promoted to Head of Sales or Regional Sales Lead as the company expands into new territories, including universities and pan-India K-12 schools.

What We’re Looking For

Strong verbal communication and interpersonal skills.

Ability and willingness to travel extensively within South India.

Basic comfort with digital tools like Google Sheets, Email, and mobile apps.

A sincere, mission-driven attitude — we want people who believe in improving education in India through innovation and action.

Join Us

Be part of the change. Join VADAI to transform schools, empower students, and build the future of AI in education — one school at a time.

EverestEngineering -Software Engineering when you need it. High quality, scalable, distributed development teams are ready to help you now. Sustainable software development. Fit for purpose. Doing the right thing both for our customers and for yours.

As a team, we are passionate and motivated by the impact our organization can have on our customers, employees, the industry, and the world. We are here to accelerate software innovation by digitally connecting the global workforce. Through our experience, we know that working with remote teams and getting it right can become a competitive advantage for organizations. We want to provide this advantage to customers and partners that are trying to have a positive impact on the world through software innovation

Excellence is at the forefront of our mission. We see an opportunity to shift the narrative of working with offshore teams - from a frustrating cost-cutting exercise to a beneficial value addition.https://everest.engineering/

Our experience means we understand the problems software companies face trying to build offshore distributed teams because we've been there before ourselves.

We work iteratively together to manage these problems for you, or to provide extra capacity in peak times so that you can do what you do best – deliver amazing innovations and delighting your customers
To see the quality of our code, you can checkout some of our open source projects: https://github.com/everest-engineering" target="_blank">https://github.com/everest-engineering

Specialties- 

Big Data, Web Development, Mobile Development, Agile Development, Data Analytics, Software Product Development, and Remote Working

HeadQuarters- Melbourne, Victoria

We love people who in general - 

• have a passion to own and create amazing products.
• are able to clearly understand the customer’s problem.
• are a good collaborative problem solver.
• are a really really good team player.
• are open to learn from others and teach others.
• are able to take the meaningful feedback and improve continuously.
• can commit to inclusion, equality & diversity.
• can maintain integrity at work.

You are the one if - 

• you love solving problems.
• you have a keen interest in understanding and analysing the customer problems and solutions. 
• you possess good listening, communication (verbal & written) and presentation skills.
• you can empathise easily with customers.
• you can facilitate and lead workshops that generate customised business solutions.

• analyse the as-is system and collaborate with clients to create artefacts (personas, journeys, epics, stories, to-be system etc.) to outline business vision, objective, product roadmap, and a project release plan.
• effectively manage the scope and constraints of the project.
• work in agile teams that help in the successful delivery of a project.
• effectively prioritise and obtain buy-in from all the stakeholders to help the team with the requirements.
• write detailed stories to help the team understand the requirements.
• demonstrate flexibility in picking up things/roles needed for the successful delivery of the project. 
• collaborate with the UX team to understand and contribute to the user research & design process.
• be an effective liaison between the client and your team to manage the product backlog and keep an eye on the software delivery.

• Designing and Developing web applications using Laravel 7 / 8
• Closely working front-end and back-end developers on projects.
• Hands on experience with handing MySQL queries
• Excellent logical and analytics skill
• Experience on handling and developing API end points
• Experience with Payment Gateway integrations and implementations
• Knowledge on any Frontend Framework - Bootstrap / Foundation / Backbone (Secondary skills, added advantage)

• Follow standard coding structure with Security first approach to avoid vulnerabilities such as SQL Injection and XSS
• Sound knowledge on integrating multiple payment gateway

Senior Engineer  – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)

We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.

About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.

Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit

Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields

Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals