11+ Budget administration Jobs in Mumbai | Budget administration Job openings in Mumbai

About the Role 

Hey there, finance ninja! Are you ready to unleash your mamba mentality and take on the role of a Finance and Accounts Head?

We're looking for someone who loves all things finance and wants to build accurate and reliable financial reports and processes. 

If you love a fast-paced and high-functioning work environment and are all about learning, we want you on our team! We're on the hunt for someone super motivated who's ready to take charge as the Finance Head and lead the team to excellence. 

What You'll Do 

Budget-building and cash flow forecasting boss 

• The backbone of our growth plans, setting up financial systems and processes like a pro 

• An extraordinary tax guru 

• Compliance ninja who knows the financial rules and regulations like the back of their hand 

• A financial insights machine that can provide meaningful analysis 

• Risk mitigation master who can spot potential problems before they happen 

• A mentor and leader who can guide the finance and accounting team to greatness 

• A team player who loves collaborating with other teams to create a positive impact 

Job Description: Personal Assistant to CXO

📍 Location: Thane

Job Overview

We are seeking a highly organized, proactive, and detail-oriented Personal Assistant to support our CXO in day-to-day operations. The ideal candidate will manage schedules, communications, and follow-ups efficiently, ensuring smooth coordination across internal teams and external stakeholders. This role requires a high level of professionalism, discretion, and the ability to handle multiple priorities in a fast-paced environment.

Key Responsibilities

• Manage the CXO’s calendar, appointments, meetings, travel arrangements, and daily schedule
• Track, document, and follow up on all tasks assigned to the CXO to ensure timely completion
• Prepare meeting agendas, take detailed minutes, and coordinate action items with internal teams
• Draft, proofread, and organize professional emails, presentations, reports, and documents
• Coordinate with internal departments and external stakeholders on behalf of the CXO
• Maintain confidentiality of sensitive information and ensure systematic documentation
• Anticipate requirements, provide timely reminders, and prepare necessary materials ahead of meetings
• Support ad-hoc administrative and operational tasks as required

Required Skills

• Excellent organizational and time-management skills
• Strong written and verbal communication abilities
• Multitasking and prioritization skills
• Attention to detail and accuracy
• Proactive problem-solving approach
• Professionalism, discretion, and confidentiality
• Ability to adapt quickly in a dynamic, fast-paced environment
• Proficiency in MS Office / Google Workspace

Qualifications & Experience

• Bachelor’s degree in Business Administration, Management, or a related field
• Minimum 1 year of experience as a Personal Assistant or Executive Assistant
• Experience in healthcare, technology, or startup environments is an added advantage

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

• Build campaign generation services which can send app notifications at a speed of 10 million a minute
• Dashboards to show Real time key performance indicators to clients
• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds
• Building highly available & horizontally scalable platform services for ever growing data
• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability
• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed
• You will build backend services and APIs to create scalable engineering systems.
• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.
• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.
• Identify and improvise areas of improvement through data insights and research.

• 2-5 years of experience in backend development and must have worked on Java/shell/Perl/python scripting.
• Solid understanding of engineering best practices, continuous integration, and incremental delivery.
• Strong analytical skills, debugging and troubleshooting skills, product line analysis.
• Follower of agile methodology (Sprint planning, working on JIRA, retrospective etc).
• Proficiency in usage of tools like Docker, Maven, Jenkins and knowledge on frameworks in Java like spring, spring boot, hibernate, JPA.
• Ability to design application modules using various concepts like object oriented, multi-threading, synchronization, caching, fault tolerance, sockets, various IPCs, database interfaces etc.
• Hands on experience on Redis, MySQL and streaming technologies like Kafka producer consumers and NoSQL databases like mongo dB/Cassandra.
• Knowledge about versioning like Git and deployment processes like CICD.

• Expert in SAP master data/integration related experience
• Has participated in at least two large information transformation engagements
• ​Ability to work with and collaborate with all Teams and Individuals in the Business Teams and the SAP Teams toward developing a best practice data creation, maintenance, governance, quality, and efficiencies
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