
Byteridge
https://byteridge.comAbout
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Jobs at Byteridge
We are looking for a Scrum Master to drive Agile practices, enable high-performing teams, and ensure smooth delivery across projects.
Key Responsibilities:
- Facilitate Scrum ceremonies and Agile processes
- Coach teams on Scrum/Kanban best practices
- Remove impediments and ensure timely delivery
- Collaborate with Product Owners on backlog management
- Track team progress and drive continuous improvement
Requirements:
- 2–6 years of Scrum Master experience
- Strong knowledge of Agile (Scrum/Kanban)
- Experience with JIRA
- Excellent communication and problem-solving skills
- CSM/PSM certification preferred
We are looking for a Business Analyst with 2+ years of experience in FinTech, invoice financing, lending, or financial platforms. The role involves working closely with product, engineering, QA, and client stakeholders to define and deliver scalable financial workflows and platform enhancements.
The ideal candidate should understand financial processes, approval workflows, compliance-driven systems, and data-heavy platforms.
Key Responsibilities
- Gather, analyze, and document business requirements (BRDs, user stories, acceptance criteria)
- Conduct requirement workshops with business, operations, and client stakeholders
- Map end-to-end workflows for invoice financing, onboarding, approvals, disbursements, and reporting
- Define Maker–Checker / approval flows and role-based access controls
- Perform gap analysis between current and proposed system capabilities
- Translate business requirements into detailed functional specifications for engineering teams
- Create process flow diagrams, data flow diagrams, and functional solution documents
- Work closely with QA teams to validate test scenarios and support UAT cycles
- Clarify requirements during sprint planning and development cycles
- Assist in impact analysis for change requests and new feature enhancements
- Ensure requirements incorporate compliance, auditability, and data validation needs
- Support go-live activities and post-release validation
Required Skills
- 2+ years of experience as a Business Analyst in Invoice Financing platforms (most preferred), FinTech, Lending or Banking
- Strong understanding of financial workflows, invoice processing, financial dashboards and approval mechanisms
- Experience writing clear and structured user stories and functional documents
- Familiarity with audit trails, compliance requirements, and governance-driven systems
- Experience working in Agile/Scrum environments
- Strong analytical and stakeholder communication skills
- Good to Have
- Exposure to Supply Chain Finance / Working Capital Financing
- Experience with dashboard/reporting requirements
- Understanding of rule-based systems or configurable financial platforms
- Basic knowledge of APIs and system integrations
What We’re Looking For
- Strong problem-solving ability
- Detail-oriented documentation mindset
- Ability to manage multiple stakeholders confidently
- Ownership and accountability
The Principal Architect leads Byteridge’s Technology Strategy & Solutions Group (TSS). This is a senior, visible role responsible for defining technology point-of-view, shaping solution narratives, guiding enterprise conversations, and influencing revenue through differentiated thinking.
The Architect owns thought leadership, reference architectures, solution accelerators, and selective engagement on high-impact deals.
Key Responsibilities
- Own, enhance & execute Byteridge’s technology strategy across priority areas (Cloud, Data, Gen AI, Modernization).
- Create and maintain enterprise-grade reference architectures, solution blueprints, PoCs and accelerators.
- Lead strategic discovery workshops and executive-level solutioning for priority opportunities.
- Partner with Content Marketing to translate technical POVs into blogs, whitepapers, decks, webinars, and sales narratives.
- Enable the Enterprise Account Executive with differentiated solution stories and technical credibility.
- Build strong partnerships with Byteridge delivery teams to identify high-impact solutions and projects that can be leveraged as compelling capability showcases for existing customers and prospective clients.
- Work with Delivery Team Architects to influence delivery standards and architectural consistency across teams.
- Research market and industry trends across technologies, popular enterprise solutions, and buyer adoption patterns. Go deep into selected domains and verticals to continuously refine Byteridge’s technology strategy, solution approaches, and positioning.
- Act as a visible external voice through talks, webinars, and published content.
Ideal Profile
- 12–16 years of experience across technology architecture, solutioning, or technology consulting roles.
- Demonstrated ability to research and synthesize market trends, emerging technologies, and popular enterprise solutions.
- Experience developing deep expertise in specific domains or industry verticals and translating that into solution strategies.
- Strong background in modern software engineering, cloud platforms, data, AI, and enterprise systems.
- Proven track record of influencing client decisions and shaping solution direction, not just designing systems.
- Comfortable working at the intersection of technology, business strategy, marketing, and sales.
- Excellent communication skills with executive presence and the ability to articulate complex ideas clearly.
Success Metrics (KPIs)
- Quarterly technology and market POVs produced and adopted internally or externally.
- Creation and reuse of reference architectures, solution frameworks, and accelerators across deals.
- Number of high-impact delivery projects converted into capability showcases and sales assets.
- Influence on strategic opportunities, measured through deal quality, size, and AE feedback.
- Thought leadership visibility through blogs, webinars, talks, or industry participation.
- Internal adoption of architectural standards and solution approaches by delivery teams.
We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.
What will you need to be successful in this role?
Core Technical Skills
• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Proven experience deploying production LLM applications with 1M+ tokens processed
• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling
• Production experience with RAG systems including hybrid search and re-ranking
• Deep understanding of embedding models and vector databases at scale
• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)
• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)
• Experience implementing multi-agent systems and orchestration
• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)
Advanced Capabilities
• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)
• Knowledge of knowledge graphs and graph-based RAG implementations
• Understanding of model hosting, inference optimization, and cost management
• Experience with MLOps pipelines, CI/CD for ML, and model versioning
• Ability to architect end-to-end ML solutions from data ingestion to deployment
• Experience with data pipelines and ETL for ML workflows
• Proficiency in containerization and orchestration (Docker, Kubernetes)
Client Engagement & Delivery
• Experience presenting technical solutions to clients and stakeholders
• Ability to translate business requirements into technical ML solutions
• Track record of delivering client POCs and production implementations
• Experience creating technical documentation and implementation guides
Good to have
• Experience hosting private LLMs (7B-13B models on-premises or cloud)
• Knowledge of graph databases (Neo4j) and graph neural networks
• Experience with streaming and real-time ML inference
• Published research papers or contributions to open-source ML projects
• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning
• AWS/Azure ML certifications or working towards them
Competencies
• Excellent verbal and written communication skills
• Strong mentoring ability for junior ML engineers
• Self-driven with ability to work independently on complex problems
• Excellent problem-solving skills with systematic debugging approach
• Proactive ownership of projects from ideation to deployment
• Ability to stay current with rapidly evolving AI/ML landscape
• Excellent academic record – B.E./B.Tech, MCA,
You will be an integral part of the People Function team, supporting day-to-day people operations and initiatives across the employee lifecycle. This role offers a great opportunity for recent graduates or individuals with limited experience to gain hands-on exposure and build a strong foundation in People Function practices.
Roles & Responsibilities
- Plan, coordinate, and support creative employee engagement initiatives in collaboration with team members.
- Manage pre-onboarding activities including scheduling, induction sessions, coordinating leadership interactions, addressing new joiner queries, and sharing joining documentation and emails.
- Prepare, issue, and maintain employee letters and ensure proper filing of all employee documentation.
- Drive internal communication by managing posts related to company announcements, new joiners, festivals, and internal events.
- Administer leave management processes across departments and ensure accurate tracking.
- Support employee coordination for internal initiatives, programs, and events.
- Maintain internal HR data, records, and trackers, and share reports as and when required.
Good to have:
- Exposure to or interest in social media management and employer branding initiatives.
Competencies for the role:
- Strong verbal and written communication skills.
- Ability to prioritize tasks, plan effectively, and meet deadlines.
- High level of ownership and accountability for assigned responsibilities.
- Willingness to learn, adapt, and grow within the People Function.
- Strong sense of integrity, professionalism, and confidentiality.
- Proficiency in MS Office, with good working knowledge of Excel.
Educational Qualification:
Bachelor's Degree
Location:
Work from Office - Hyderabad
As a Senior Backend Software Engineer, you will play a key role in building and scaling our next generation of enterprise solutions. You will work in a highly collaborative, product-driven environment where engineering excellence, cloud-native architecture, and AI-powered development are core to how we operate.
You will contribute across the full software development lifecycle from architecture and design through development, deployment, and continuous improvement while helping shape the technical direction of our products.
- Designing, developing, deploying, and maintaining high-quality, scalable, and reliable backend solutions.
- Championing best practices in software development and service delivery, including agile methodologies, code reviews, unit testing, CI/CD, and TDD.
- Contributing to design and architecture decisions, ensuring alignment with the product roadmap and business objectives.
- Collaborating closely with geographically distributed and cross-functional teams in a matrixed organization.
- Staying up to date with industry trends and emerging technologies to continuously improve our development processes and service offerings.
- Fostering a culture of learning, growth, and productivity within the team.
AI-First Mindset
You will be expected to bring an AI-first approach to software development, including:
- Approaching problems with AI in mind, looking for opportunities to automate, optimize, and re-imagine workflows using intelligent systems.
- Using AI as a development partner to automate routine tasks, accelerate development cycles, improve code quality, and drive innovation.
- Demonstrating curiosity and initiative to explore new AI capabilities and share practical applications with peers.
- Hands-on experience with AI-powered developer tools such as Copilot, ChatGPT, Claude, or similar, and the ability to use them responsibly in production environments.
What You Will Need to Be Successful in This Role
- Minimum 4 years of experience in software development using Java.
- 4+ years of experience in software solution development and delivery.
- Experience building solutions based on a microservices architecture.
- Strong experience with at least one cloud platform (OCI, AWS, Microsoft Azure, or Google Cloud).
- Proven track record of delivering software in a fast-moving, high-growth, and matrixed enterprise environment.
- Experience with ORM frameworks such as Hibernate.
- Experience working with RDBMS such as Oracle, PostgreSQL, or similar.
- Proven experience with industry best practices including TDD, CI/CD, agile methodologies, code reviews, unit testing, and automation.
- Experience developing enterprise business applications backed by relational databases.
Qualifications
- B.E/B.Tech/ MCA
Role Overview:
We are looking for a Business Analyst with 4+ years of experience in FinTech, invoice financing, lending, or financial platforms. The role involves working closely with product, engineering, QA, and client stakeholders to define and deliver scalable financial workflows and platform enhancements.
The ideal candidate should understand financial processes, approval workflows, compliance-driven systems, and data-heavy platforms.
Key Responsibilities
- Gather, analyze, and document business requirements (BRDs, user stories, acceptance criteria)
- Conduct requirement workshops with business, operations, and client stakeholders
- Map end-to-end workflows for invoice financing, onboarding, approvals, disbursements, and reporting
- Define Maker–Checker / approval flows and role-based access controls
- Perform gap analysis between current and proposed system capabilities
- Translate business requirements into detailed functional specifications for engineering teams
- Create process flow diagrams, data flow diagrams, and functional solution documents
- Work closely with QA teams to validate test scenarios and support UAT cycles
- Clarify requirements during sprint planning and development cycles
- Assist in impact analysis for change requests and new feature enhancements
- Ensure requirements incorporate compliance, auditability, and data validation needs
- Support go-live activities and post-release validation
Required Skills
- 4+ years of experience as a Business Analyst in Invoice Financing platforms (most preferred), FinTech, Lending or Banking
- Strong understanding of financial workflows, invoice processing, financial dashboards and approval mechanisms
- Experience writing clear and structured user stories and functional documents
- Familiarity with audit trails, compliance requirements, and governance-driven systems
- Experience working in Agile/Scrum environments
- Strong analytical and stakeholder communication skills
- Good to Have
- Exposure to Supply Chain Finance / Working Capital Financing
- Experience with dashboard/reporting requirements
- Understanding of rule-based systems or configurable financial platforms
- Basic knowledge of APIs and system integrations
Job Description
We are looking for a Data Scientist with 3–5 years of experience in data analysis, statistical modeling, and machine learning to drive actionable business insights. This role involves translating complex business problems into analytical solutions, building and evaluating ML models, and communicating insights through compelling data stories. The ideal candidate combines strong statistical foundations with hands-on experience across modern data platforms and cross-functional collaboration.
What will you need to be successful in this role?
Core Data Science Skills
• Strong foundation in statistics, probability, and mathematical modeling
• Expertise in Python for data analysis (NumPy, Pandas, Scikit-learn, SciPy)
• Strong SQL skills for data extraction, transformation, and complex analytical queries
• Experience with exploratory data analysis (EDA) and statistical hypothesis testing
• Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI)
• Strong understanding of feature engineering and data preprocessing techniques
• Experience with A/B testing, experimental design, and causal inference
Machine Learning & Analytics
• Strong experience building and deploying ML models (regression, classification, clustering)
• Knowledge of ensemble methods, gradient boosting (XGBoost, LightGBM, CatBoost)
• Understanding of time series analysis and forecasting techniques
• Experience with model evaluation metrics and cross-validation strategies
• Familiarity with dimensionality reduction techniques (PCA, t-SNE, UMAP)
• Understanding of bias-variance tradeoff and model interpretability
• Experience with hyperparameter tuning and model optimization
GenAI & Advanced Analytics
• Working knowledge of LLMs and their application to business problems
• Experience with prompt engineering for analytical tasks
• Understanding of embeddings and semantic similarity for analytics
• Familiarity with NLP techniques (text classification, sentiment analysis, entity,extraction)
• Experience integrating AI/ML models into analytical workflows
Data Platforms & Tools
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery)
• Proficiency in Jupyter notebooks and collaborative development environments
• Familiarity with version control (Git) and collaborative workflows
• Experience working with large datasets and distributed computing (Spark/PySpark)
• Understanding of data warehousing concepts and dimensional modeling
• Experience with cloud platforms (AWS, Azure, or GCP)
Business Acumen & Communication
• Strong ability to translate business problems into analytical frameworks
• Experience presenting complex analytical findings to non-technical stakeholders
• Ability to create compelling data stories and visualizations
• Track record of driving business decisions through data-driven insights
• Experience working with cross-functional teams (Product, Engineering, Business)
• Strong documentation skills for analytical methodologies and findings
Good to have
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)
• Knowledge of reinforcement learning and optimization techniques
• Familiarity with graph analytics and network analysis
• Experience with MLOps and model deployment pipelines
• Understanding of model monitoring and performance tracking in production
• Knowledge of AutoML tools and automated feature engineering
• Experience with real-time analytics and streaming data
• Familiarity with causal ML and uplift modeling
• Publications or contributions to data science community
• Kaggle competitions or open-source contributions
• Experience in specific domains (finance, healthcare, e-commerce)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Summary:
We are seeking an experienced Senior Full Stack Microsoft Power Apps Developer to join our dynamic team. The successful candidate will be responsible for designing, developing, and maintaining our applications using the Microsoft Power Platform, with a strong focus on Power Apps and Power BI. This role involves working closely with business stakeholders to understand requirements, provide technical expertise, and deliver innovative solutions that enhance business processes.
Key Responsibilities:
· Design and Development:
· Design, develop, and deploy in our Power Apps environments.
· Integrate Power Apps with other Microsoft products such as Power Automate, Power BI, SharePoint, and Dynamics CRM 365.
· Build new developments in our Power Apps front end to expand our product offering and product roadmap plans.
· Develop custom connectors and integrate third-party APIs and services.
· Technical Skillset:
· Conduct code reviews and ensure best practices are followed in the development process we have established.
· Work on Issues and Tasks within the DevOps portal for open items.
· Collaboration and Communication:
· Collaborate with internal teams to ensure seamless integration and deployment of Power Apps solutions.
Qualifications:
· Education:
· Bachelor’s degree in Computer Science, Information Technology, or a related field. Equivalent experience may be considered.
· Experience:
· Minimum of 5 years of experience in developing applications using Microsoft Power Apps.
· Strong experience in Microsoft Power Platform components
· Experience with SharePoint, Dynamics 365, and Azure services is highly desirable.
· Skills:
· Strong understanding of relational databases and data modeling.
· Excellent problem-solving skills and attention to detail.
· Strong communication and interpersonal skills.
· Certifications:
· Microsoft Power Platform certifications (e.g., Microsoft Certified: Power Platform Developer Associate) are preferred.
HIRING PROCESS:
Once you apply by sharing your CV and filling out the form, we would see if you are a good fit for the role.
If your CV is shortlisted, we would first have a general conversational round to know more about you which would then be followed by video discussion, technical interview round(s) and then an HR discussion.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Byteridge is currently hiring for Manual Test Engineers with experience in the ERP domain and strong hands-on skills in API testing using Postman.
Role: QA Engineer (Manual Testing)
Domain: ERP
Requirement: Must have experience with Postman for API testing
Location/Mode: Remote
About the company:
Byteridge is a digital product design and development company that builds tailored web and mobile app solutions for global clients. Recognized as a Great Place to Work for 2025-26, Byteridge is where talented professionals work on exciting, impactful products in a collaborative and growth-driven environment.
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