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Job Title: Product Owner – Payments & Funds Transfer

Location: Pune, India

Experience: 5+ Years

Employment Type: Full-time

Job Summary:

We are looking for a skilled and driven Product Owner with proven experience in business and systems analysis within the Payments and Funds Transfer domain. The ideal candidate will possess deep domain knowledge of SWIFT, Clearings, RTGS, and familiarity with SEPA, CHIPS, and Fedwire. You will serve as the key liaison between business stakeholders and technical teams to define, prioritize, and deliver impactful product features in a fast-paced financial services environment.

Key Responsibilities:

• Act as the primary point of contact for product features and roadmap in the Payments domain.
• Gather, analyze, and translate business and system requirements into detailed user stories and product backlogs.
• Collaborate with cross-functional teams including developers, QA, business analysts, and stakeholders.
• Own and manage the product backlog; prioritize features based on business value and technical feasibility.
• Conduct gap analysis, define workflows, and ensure business rules and compliance requirements are captured.
• Participate in agile ceremonies such as sprint planning, reviews, and retrospectives.
• Provide subject matter expertise in payment systems, clearing mechanisms, and regulatory compliance.

Required Skills & Experience:

• Minimum 5 years of experience as a Product Owner or Business/System Analyst in the Payments/Funds Transfer domain.
• Strong understanding of SWIFT, RTGS, and Clearing Systems.
• Working knowledge of SEPA, CHIPS, Fedwire is a plus.
• Proven experience translating business needs into functional and technical specifications.
• Familiarity with Agile/Scrum methodology and tools like Jira, Confluence, etc.
• Excellent communication, stakeholder management, and problem-solving skills.
• Bachelor’s degree in Computer Science, Finance, Business, or related field.

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

Graduate/Post Graduate/MBA with 1 year of experience from BFSI

Work Experience 1+ Years of Sales experience,

Preference to NISM Certified candidates with experience in new client acquisition

Critical Skills Required

Relationship Management

Influencing Skills

Technical - Product Knowledge

Presentation skills

Interpersonal skills 

Effective Communication 

Result oriented with proper adherence to compliance

Negotiation skills

• 4 to 7 years of experience in requirements management, use cases and business flows
• Must have worked on projects using Agile Methodology
• Excellent client interaction skills
• Must be able to work effectively with business users/stakeholders 6. Ability to multitask and work with minimal supervision
• Certified Business Analysis Professional (CBAP) Certification is a plus
• Excellent written and oral communication skills

Work on improving the flows and overall architecture of the core product at OneCard and OneScore app. 

What you will do:

• Execute all product design flows and visual design stages from concept to final hand-off to engineering.
• Conceptualize original mobile design ideas that bring simplicity and user-friendliness to complex roadblocks.
• Create seamless navigation flows and architecture to improve discoverability, engagement and conversions. 
• Present and defend designs and key deliverables to peers and executive-level stakeholders.
• Establish and promote design guidelines, best practices, and standards.
• Leverage user testing to make product improvements.
• Participate in contributing ideas, updates, and product development areas to the team.

Experience Range: 

Proven 5-6 years of work experience as a Product Designer. Must have worked on digital products. Familiar with user research practices. Having worked in the app product space is a huge plus. 

Technical Expertise:

• Demonstrable Product design skills with a strong portfolio is a must.
• Proficiency in Adobe XD, Illustrator and Figma is a must.
• Design eye-catching mobile app experiences for our app experiences.
• Up-to-date with the latest Mobile app trends, techniques, and technologies.
• BS/MS in Human-Computer Interaction, Interaction Design, or Visual Arts is a plus.

YourMauka.com is a fast paced SaaS marketplace for management professionals for faster hiring. Our mission is to reduce the hiring time significantly, enabling visionary creators to create their dream team quicker.

We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full stack developers are responsible for developing and designing front end web architecture, ensuring the responsiveness of applications, and working alongside UI designers for web design features, among other duties.

Full stack developers will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

Responsibilities

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside UI designers for web design features.
• Seeing through a project from conception to finished product.
• Well versed in finding, understanding and using appropriate APIs according to business needs.
• Developing with best coding practices aiming at code not being the bottleneck for poor system performance.
  
  Skills and Requirements:
  • Strong organizational and product management skills.
  • Proficiency with server-side languages such as PHP (laravel)
  • Familiarity with database technology such as MySQL
  • End to end ownership of Product Development and Product mindset.

MINIMUM QUALIFICATIONS, Roles and responsibilties:

• BS/MS in Computer Engineering or related technology field
• 10+ Years of Experience in Software Development
• Experience in  writing code for embedded systems, Proficient in C/C++ coding and intel DPDK
• Understanding of network interface drivers
• Experience with VMware, AWS, MSAzure, Google Cloud Platform.
• Knowledge of micro services and containerization
• Experience in building Networking Security Products
• Knowledge of Networking, TCP/IP Protocol Suite
• Design, code embedded features/solutions for the ShieldX Product
• Design write, extend and troubleshoot datapath code for switching, routing, NAT, TCP and TLS
• Work closely with other development , Product and Test Teams

• BS/MS in Computer Engineering or related technology field
• Excellent communication and Team player skills
• Should be a self-starter and be able to adopt to dynamic fast-paced environment.
• Able to work 40 hours a week