Total 9 job vacancies by Version 1

Job Purpose

To ensure accurate maintenance of books of accounts and provide end‑to‑end support for internal and external audits by maintaining reliable financial records, coordinating with auditors, and ensuring timely closure of audit requirements in compliance with applicable laws and accounting standards.

Key Responsibilities

A. Maintenance of Books of Accounts

• Maintain complete and accurate books of accounts, including general ledger and sub‑ledgers
• Record day‑to‑day accounting transactions such as receipts, payments, journal entries, and accruals
• Maintain accounts payable and accounts receivable records
• Perform regular bank, cash, and ledger reconciliations
• Ensure proper classification of expenses, income, assets, and liabilities
• Prepare trial balances and support monthly, quarterly, and annual closing activities
• Maintain fixed asset register and calculate depreciation
• Ensure proper documentation, filing, and record retention
• Ensure compliance with accounting standards, statutory requirements, and internal controls

B. Audit Support & Coordination

• Act as a key liaison between management and internal/statutory auditors
• Prepare and provide audit schedules, financial statements, and supporting documents
• Coordinate statutory audits, internal audits, and tax audits (as applicable)
• Respond to audit queries and provide timely explanations and documentation
• Track audit observations and support closure of audit findings
• Assist in implementation of audit recommendations and corrective actions
• Maintain audit working files and audit correspondence records
• Support management in audit planning and compliance reviews

Role Overview

As an AI Engineer focused on Generative and Agentic AI, you will design, build, deploy, and operate production-ready AI systems, taking ideas from early prototypes through to reliable, enterprise-grade solutions. You will work hands-on with real customer and internal use cases, owning the full lifecycle from design and orchestration to deployment, monitoring, and continuous improvement.

The role emphasizes building intelligent systems that can reason, plan, use tools, and make decisions, rather than standalone models or simple chatbots. You will apply modern Generative AI techniques and strong software engineering practices to deliver real-world AI outcomes on a scale.

Key Responsibilities

• Experience needed 5-7 years
• Generative & Agentic AI Development
• · Design and build LLM-based systems using:
• o Retrieval Augmented Generation (RAG)
• o Embeddings and vector search
• o Prompt engineering and prompt optimization
• o Function calling and tool usage
• o Agentic and multi-agent workflows
• · Develop AI systems that integrate LLMs with REST APIs, enterprise systems, data platforms, and workflows
• · Apply LLM evaluation techniques to assess quality, reliability, safety, and performance
• End-to-End AI Engineering
• · Own the full lifecycle of AI solutions—from prototype to production
• · Build, deploy, and operate AI workloads in AWS environments
• · Ensure production readiness with focus on scalability, reliability, performance, security, and cost optimization
• · Implement CI/CD pipelines, automated testing, and versioning for AI systems
• Engineering Excellence & Operations
• · Apply strong software engineering and distributed systems principles to AI development
• · Implement observability practices including logs, metrics, traces, and alerts
• · Monitor model behavior, system health, latency, and failures in production
• · Contribute to responsible AI practices, governance, and quality standards
• Collaboration & Enablement
• · Work closely with other AI engineers, data scientists, platform teams, and business stakeholders
• · Contribute to building and scaling AI platforms and reusable components
• · Support low-code / Copilot / Flow-style solutions where appropriate
• · Share knowledge and mentor junior engineers on Generative and Agentic AI best practices

The Role

We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.

This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.

What You’ll Be Doing

• · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
• · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
• · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
• · Optimising data performance, reliability, and data quality in live environments
• · Collaborating with analysts, data scientists, AI engineers, and platform teams
• · Mentoring junior engineers and contributing to shared standards and accelerators

Role Overview

We are seeking a Data Scientist to design, build, and deliver production ready data science and machine learning solutions for enterprise and regulated clients. This is a hands on role covering the full lifecycle - from data exploration and feature engineering through to model deployment, evaluation, and iteration.

The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation.

Key Responsibilities

• · Develop and deploy ML and data science solutions from proof of concept to production
• · Perform data exploration, feature engineering, and model development on large datasets
• · Apply techniques across prediction, classification, clustering, NLP, and multimodal AI
• · Use both traditional ML and GenAI / LLM approaches where appropriate
• · Track experiments, metrics, and model versions (e.g. MLflow)
• · Collaborate with data engineers and AI engineers to integrate models into platforms
• · Continuously improve models based on performance, feedback, and data drift

We are looking for a Senior Software Engineer in Test / Senior Test Engineer / Test Analyst with strong hands-on automation testing experience. In this role, you will design, develop, and maintain automated test suites using industry-standard tools to validate client-facing applications and ensure high product quality across AWS-based systems, including AI/ML platforms and data/analytics infrastructure (e.g., AWS Bedrock, Databricks) and database layers (Aurora / PostgreSQL).

Key Responsibilities:

• Managing Test creation, execution, defects, retests, sync with BAs for requirement clarity.
• Representing team in all scrum meetings and own the discussion.
• Participate in sprint planning, daily stand-ups, and retrospective meetings.
• Understand and execute test strategies and test plan.
• Integration and Data layer testing as part of ETL.
• Perform database testing and data validation for AWS Aurora / PostgreSQL (schemas, queries, stored logic where applicable), ensuring data integrity across services and pipelines.
• Test data/analytics and AI/ML workflows (e.g., Databricks jobs/pipelines, feature engineering, model/LLM inference integration) across environments.
• Validate AI/GenAI service integrations (e.g., AWS Bedrock) including prompt/response contracts, latency, error handling, and safety/guardrail behaviors.
• Collaborate with data/ML engineers to define test data, quality checks, and observability for pipelines (logs/metrics), and to mitigate issues such as data drift and schema changes.
• E2E system testing by covering all flows.
• Collaborate with cross-functional teams to understand project requirements and ensure test coverage.
• Contribute to the design and implementation of CI/CD pipelines for automated testing and deployment.
• Reviewing test environments and processes to facilitate continuous improvement and maintenance of quality standards.
• Providing test estimates
• Build automation using selenium, Java OR any industry standard tool.

The Data Governance Consultant will leverage Microsoft Purview’s Unified Catalog, Data Map, and Data Quality capabilities to ensure enterprise data assets are high-quality, compliant, and easily discoverable across multi-cloud and on‑premises environments. This role combines deep technical expertise in Purview with strong data analysis skills to assess, monitor, and continuously improve data ecosystems—enabling informed business decisions while mitigating privacy, security, and compliance risks.

Key Responsibilities

Implement Data Governance Frameworks

• Design and deploy Microsoft Purview-based governance solutions, including automated scanning, classification, and lineage tracking.
• Catalog and govern structured, semi-structured, and unstructured data assets across diverse data platforms.

Manage Data Quality Initiatives

• Define, configure, and maintain data quality rules within Purview’s Unified Catalog using no-code/low-code capabilities.
• Execute recurring data quality scans to generate quality scores and identify issues such as inconsistencies, inaccuracies, and missing data.

Monitor and Analyse Data Health

• Utilise Purview dashboards and insights to assess data quality metrics, conduct root cause analysis, and track performance trends.
• Collaborate with data owners and stewards to remediate issues and improve overall data reliability and trustworthiness.

Support Compliance and Risk Management

• Implement sensitivity labels, access controls, and governance policies within Purview.
• Ensure compliance with regulations such as GDPR, CCPA, and internal data governance standards.

Cross-Functional Collaboration

• Partner with data analysts, data engineers, and business stakeholders to embed Purview into data workflows.
• Provide enablement, training, and guidance to support self-service data discovery and governance adoption.

Reporting and Optimisation

• Develop and deliver reports on governance maturity, data quality metrics, and compliance outcomes.
• Continuously optimise Purview configurations to improve scalability, performance, and efficiency across large and complex data estates.

Key Responsibilities

• Look for 7-10 years of experience in Devops and AWS.
• Design, build, and maintain cloud-native applications using AWS serverless services (e.g., Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch).
• Manage and operate AI/ML Platform on AWS
• Develop infrastructure as code using AWS CDK or similar tools (e.g., Terraform, CloudFormation).
• Able to build front/back-end solutions
• Contribute to event-driven and microservices architectures.
• Collaborate with cross-functional teams, support DevOps processes (CI/CD pipelines, configuration management), and troubleshoot issues across the stack.

Role Overview

We are seeking an experienced and highly motivated Senior Business Analyst to join our consulting team. In this role, you will work closely with clients, product teams, and delivery colleagues to define, analyse, and shape business and technology solutions.

You will bring strong business analysis fundamentals, hands-on Agile delivery experience, and the ability to operate confidently with senior stakeholders. This role suits someone who thrives in a fast-paced, dynamic environment and enjoys solving complex business problems.

Key Responsibilities

• · Lead end-to-end business analysis activities across discovery, design, and delivery phases, including facilitating workshops and stakeholder sessions.
• · Engage, influence, and advise senior stakeholders, including policy makers and C-suite representatives.
• · Elicit, analyse, and document requirements using user stories, process maps, and supporting artefacts to build and refine product backlogs.
• · Perform root cause analysis and translate business needs into clear, actionable solution designs and system specifications.
• · Conduct options analysis, feasibility assessments, and contribute to solution recommendations.
• · Analyse and help shape AI and data-driven use cases in collaboration with technical and data teams.
• · Manage stakeholders across all levels—from executive sponsors to delivery teams—both internally and client-side.
• · Support User Acceptance Testing (UAT) across all testing phases to ensure solutions meet business needs and are release-ready.

We are seeking a highly motivated individual to join our team as a Scrum Master. The ideal candidate will have a solid understanding of Scrum methodologies and be able to apply them to our development process. You will also have strong business analysis skills and be able to work with stakeholders to identify, prioritize requirements, educate them about Agile as well as experience with data analysis and management. 

Key Responsibilities:

• 8+ years of experience working within an Agile environment as Scrum Master 
• Facilitate Scrum ceremonies such as sprint planning, daily stand-ups, sprint demos\reviews, and retrospectives.
• Coach and guide the development team on Scrum, Lean and DevOps principles and practices.
• Propose improvements to the current process and Agile practices.
• Collaborate with stakeholders to understand business requirements and translate them into user stories and acceptance criteria.
• Work with product owners to conduct business analysis activities such as requirements gathering, process mapping, user stories, wire frames, documentation of features and gap analysis.
• Work to prioritize, maintain the product backlog and acceptance criteria to maximize value of data solutions.
• Ensure that the product backlog items are clearly defined, well understood, and properly estimated by the development team.
• Develop and maintain data-related documentation and requirements.
• Encourage a culture of continuous improvement and accountability for individual processes.
• Drive and manage a culture of data adaptation and metrics to measure performance.
• Continuously monitor the Project’ and Squad’s performance, gather feedback from various stakeholders and respond/take actions to show continuous improvement.
• Work with cross-functional teams to ensure timely delivery of high-quality.
• Communicate progress, risks, and dependencies to stakeholders and leadership, escalate to delivery manager when needed 
• To be the key liaison between Internal Customer and Development team.
• Committed to clients and to delivery.