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ai ml devops engineer

Faze 3 Consulting

AI/ML/DevOps EngineerOwn the MLOps platform that powers enterprise AI at scale.A leading Abu Dhabi-based holding group is hiring an AI/ML/DevOps Engineer to architect, operate, and continuously improve the end-to-end MLOps and LLMOps platform for a flagship enterprise AI programme. You'll be the technical authority reviewing, governing, and signing off CI/CD, data and model pipelines, infrastructure, deployment, security, and observability &mdash; ensuring secure, scalable, and compliant delivery across environments. Reports to the AI Product Manager within the AI Excellence Centre.What you'll own:<ul><li>Own the end-to-end MLOps/LLMOps reference architecture: ingestion &rarr; validation &rarr; feature and embedding pipelines &rarr; training and fine-tuning &rarr; evaluation &rarr; registry &rarr; deployment &rarr; monitoring &mdash; including RAG and agentic workflows.</li><li>Architect, review, and approve CI/CD for ML and LLM systems: code, data, prompt, and model artifact versioning; build and release pipelines (Azure DevOps / GitHub Actions); automated unit, integration, and contract testing; and promotion/rollback (blue-green / canary) across dev, test, and production.</li><li>Define and govern AI platform foundations on Azure: IaC (Bicep/Terraform), AML workspaces, AKS GPU node pools and scheduling, private networking (VNet integration / Private Link), identity (Managed Identities / PIM), secrets (Key Vault), and encryption and data residency controls.</li><li>Review and approve production deployment patterns for model and LLM serving (AKS / KServe / AML online endpoints), including containerization, inference optimization (batching, quantization where applicable), API management, autoscaling, resiliency, and RAG runtime components (vector store, retriever, re-ranker, cache).</li><li>Own observability and reliability for AI services: OpenTelemetry tracing, prompt and inference logs (with PII controls), latency/throughput/cost metrics, SLOs/SLIs, model performance monitoring, data and model drift detection, and LLM evaluations (quality, hallucination checks, toxicity and safety guardrails) with incident playbooks.</li><li>Establish and enforce MLOps/LLMOps governance: dataset lineage, data quality validation (schema and tests), feature store and model registry standards, artifact provenance (SBOM/SLSA), vulnerability scanning, approval gates for model and prompt releases, and compliance-aligned documentation for model risk (intended use, limitations, evaluation results).</li><li>Enable delivery squads &mdash; including the primary delivery partner &mdash; with &quot;golden path&quot; templates (AML pipelines, RAG blueprints, evaluation harnesses), reusable IaC modules, and coding standards; run deep technical design and architecture reviews and sign off production readiness (capacity, security, observability, DR) for all AI releases.</li><li>Support the Run &amp; Operate model by enabling issue triage and minor enhancement workflows (ticket intake &rarr; fix &rarr; controlled release), ensuring changes follow the same release governance and quality gates.</li><li>Own the Operational Acceptance Gate: no production release without runbooks, monitoring dashboards, incident playbooks, access model, and DR test evidence.</li></ul>Scope clarity: you provide platform standards, review, and sign-off &mdash; you do not replace the delivery partner's engineering, but you enforce the &quot;golden path&quot; and production readiness bar.What you bring:<ul><li>8&ndash;10 years across DevOps, SRE, and/or ML Engineering with production systems on Azure.</li><li>Hands-on experience with Azure ML, AKS, Azure DevOps or GitHub Actions, IaC, and containerization.</li><li>Bachelor's in Computer Science, Engineering, or equivalent experience.</li></ul>Core skills required:<ul><li>Python, YAML, Docker, Helm, KQL; GitOps (Argo/Flux) awareness.</li><li>Security in CI/CD: SAST/DAST, supply-chain security (Sigstore), secrets management (Key Vault).</li><li>Performance testing (k6 / JMeter), contract testing, and E2E testing.</li><li>Cost optimization and capacity planning for GPU and CPU workloads.</li><li>Strong grasp of model serving, inference optimization, and observability tooling.</li></ul>Required certification:<ul><li>Microsoft Certified: DevOps Engineer Expert (AZ-400)</li></ul>Preferred certifications:<ul><li>Microsoft Certified: Azure Administrator (AZ-104) or Solutions Architect (AZ-305)</li><li>CKA or CKAD (Kubernetes)</li></ul>Location: Abu Dhabi, UAEEmployment Type: Permanent, Full-timeExperience: 8&ndash;10 yearsSalary Range: 25,000 - 33,000 (AED per month)Pay: AED25,000.00 - AED33,000.00 per monthWork Location: In person

AI/ML/DevOps Engineer

Inception

<div>
 
 Overview
 
 
 
 Specialist Enterprise Tooling Engineer
 
 
 As a Specialist Enterprise Tooling Engineer at Inception, you will play a pivotal role in designing, implementing, and optimizing the enterprise tooling landscape, ensuring seamless integration and robust governance across the organization. This role combines strategic vision with hands-on engineering to deliver secure, scalable, and high-performing tooling solutions that empower both technical and business teams.
 
 
 
 The opportunity
 
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai.
 
 
 
 Responsibilities
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Strategic Tooling Roadmap: Define the long-term vision for the Inception enterprise tooling stack, evaluating emerging technologies and retiring legacy tools to maintain an efficient and innovative environment.
 </li>
 <li>
 Lifecycle &amp; Access Management: Develop and oversee identity lifecycle processes, including provisioning, RBAC, and automated deprovisioning. Ensure secure SSO integration, promote a "Least Privilege" model, and safeguard intellectual property within all enterprise tools and platforms.
 </li>
 <li>
 Enterprise Tooling Governance: Set and enforce governance frameworks and security guardrails for critical platforms, ensuring compliance with Zero Data Retention (ZDR) policies and protecting proprietary assets.
 </li>
 <li>
 DevSecOps Integration: Architect and implement advanced security tooling such as SAST, DAST, and GitHub Advanced Security (GHAS) within the CI/CD pipeline, enabling proactive threat detection and "Shift-Left" security practices.
 </li>
 <li>
 Document processes, procedures, and configurations to support knowledge sharing, operational excellence, and compliance requirements.
 </li>
 <li>
 Stay up-to-date with the latest developments in DevOps, cloud tooling, and security best practices, proactively recommending enhancements to strengthen security, efficiency, and developer experience.
 </li>
 <li>
 Executive Reporting: Design and deliver automated dashboards (e.g., Power BI) to provide CxO-level insights into developer productivity, tool utilisation, and cloud cost optimisation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years in DevOps, Tooling, or Platform Engineering.
 </li>
 <li>
 Excellent troubleshooting, analytical, and problem-solving skills.
 </li>
 <li>
 Effective communication and collaboration skills; ability to work across teams and explain technical concepts to non-technical stakeholders
 </li>
 <li>
 Security-minded, with knowledge of RBAC, secrets management, and compliance best practices
 </li>
 <li>
 Portfolio or examples of hands-on work with relevant tools and platforms are highly desirable
 </li>
 <li>
 Microsoft Certified: Azure Administrator Associate, Azure DevOps Engineer Expert, or equivalent.
 </li>
 <li>
 Proficient in integrating AI agents and Experience leveraging AI-assisted orchestration and autonomous agents to streamline infrastructure management, automate security compliance, and drive operational excellence.
 </li>
 <li>
 Expert Certification: Must hold Microsoft Certified: Azure DevOps Engineer Expert (AZ-400).
 </li>
 <li>
 GitHub Credential: Must hold (or be able to obtain) GitHub Administration or GitHub Advanced Security certification.
 </li>
 <li>
 AI Fluency: Proven experience managing enterprise-grade AI coding assistants and LLM API integrations.
 </li>
 <li>
 Infrastructure: Deep mastery of Terraform/Bicep and Azure Kubernetes Service (AKS).
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 
 What Working At Inception Offers
 
 
 
 
 Culture
 
 : An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 Career
 
 : Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 Work-Life
 
 : A hybrid work policy to strike the perfect balance between office and home.
 
 
 
 Rewards
 
 : A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Specialist - Enterprise Tooling

Acenet consulting

<div><div>Experience: 12 to 18 years
 
Location: Abu Dhabi
 
Job code: 101483
 
Posted on: Apr 17, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary: 
We are seeking a highly skilled and experienced Azure Technical Architect with hands-on experience in Microsoft Azure. The ideal candidate should possess excellent inter-company communication skills, demonstrated experience in designing and implementing complex Azure-based solutions, and a solid understanding of AI platforms (HPC/AI), including Microsoft AI, Cerebras, Fluid Stack and AMD-based architectures. This role involves working closely with cross-functional teams to deliver scalable, secure, and high-performance cloud solutions that align with business objectives.
<div>Key Responsibilities: 
<ul><li>Design, implement, and maintain end-to-end Azure solutions across various Azure services.</li><li>Continuously assess the health of Azure services and infrastructure using Azure Service Health, Resource Health, and Azure Monitor. Proactively identify potential issues and outages, minimizing downtime and ensuring service reliability.</li><li>Analyze performance metrics across compute, storage, network, and application layers &amp; Identify bottlenecks and performance gaps, recommending and implementing tuning strategies.</li><li>Translate complex business requirements into scalable, secure, and reliable Azure architecture designs.</li><li>Architect and lead complex application modernization journeys, including the decomposition of monolithic applications (e.g., legacy .NET apps) into scalable, secure, and cost-effective microservices on Azure.</li><li>Design end-to-end migration solutions for complex, multi-tier enterprise workloads, ensuring minimal business disruption and maximizing the return on cloud investment.</li><li>Evaluate application portfolios to provide strategic recommendations on migration paths: Rehost (lift-and-shift), Refactor, rearchitect (to microservices), or rebuild.</li><li>Act as a technical advisor to internal stakeholders and external and partner stakeholders.</li><li>Drive cloud adoption strategies and lead Azure cloud migration and modernization initiatives.</li><li>Collaborate with development, DevOps, AI/ML, and security teams to ensure optimal cloud architecture and deployment practices.</li><li>Provide architectural governance and ensure compliance with best practices, standards, and security policies.</li><li>Produce high-quality documentation, architecture diagrams, and solution blueprints.</li><li>Guide and mentor technical teams and conduct architectural reviews.</li><li>Stay current on the latest developments in Azure services and AI technologies.</li></ul></div>
<div>Role Requirements and Qualification: 
<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or related field.</li><li>Overall Experience 12+ Years, Relevant Experience 6+ Years in Azure Cloud and 2+ years&rsquo; experience in AI.</li><li>Microsoft Certified: Azure Solutions Architect Expert certification (required).</li><li>Core Azure Infrastructure: Azure Virtual Machines, Azure Virtual Desktop, Azure Virtual Network (VNet), Azure Application Gateway, Azure VPN Gateway, Azure ExpressRoute, Virtual WAN, Network Security Groups (NSGs), Azure Firewall, Private Endpoints, Private DNS.</li><li>Load Balancing Solution: Azure Load Balancer, Azure Application Gateway, Azure Frontdoor, WAF, Citrix NetScaler</li><li>Azure Storage Solutions: Azure Blob Storage, Azure Files, Azure Disk Storage, Azure Storage Accounts.</li><li>Azure Compute &amp; App Services: Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Container Instances, Azure Service Fabric, API Management, Logic App, SQLMI, SQL Instance.</li><li>Monitoring &amp; Management: Azure Monitor, Azure Dashboards, Azure Workbooks, Log Analytics, Azure Automation, Azure Resource Manager (ARM), Azure Advisor, Cost Management &amp; Budgets, Management Groups &amp; Subscriptions.</li><li>Identity &amp; Access Management: Azure Active Directory (AAD), Azure Key Vault, Role-Based Access Control (RBAC), PIM, Azure Conditional Access</li><li>Security And Governance: Microsoft Defender for Cloud, Sentinel, Well-Architected Framework (WAF), Azure Policy.</li><li>Backup Solution: Azure Backup, Snapshot, Veeam Backup</li><li>Data Security &amp; Encryption: Azure Disk Encryption &amp; Azure Storage Service Encryption, Transparent Data Encryption (TDE) for Azure SQL.</li><li>Automation: Terraform, Bicep, Azure PowerShell &amp; CLI.</li></ul>
:DevOps &amp; CI/CD: Azure DevOps, Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, Azure Artifacts, Azure DevTest Labs, Azure SDKs, Azure App Configuration, Azure Lab Services 
<ul><li>AI &amp; Machine Learning (Basic to Advanced Knowledge Required): Azure Machine Learning, Azure AI Bot Service, Azure Cognitive Services, Azure Databricks, Azure AI Search, Azure OpenAI, Azure Form Recognizer, Azure Immersive Reader, Azure Personalizer, Azure Video Indexer, Azure Metrics Advisor, Azure Custom Vision, Azure Translator, Azure Speech Services, Azure Content Safety, Azure Document Intelligence, Azure Foundry Models, Azure Health Bot, Azure Kinect DK, Azure Face API, Azure QnA Maker, Azure Language Understanding (LUIS), Azure Text Analytics, Azure Text to Speech, Azure Speaker Recognition, Azure Microsoft Genomics, Azure Project Bonsai.</li><li>Strong understanding of cloud architecture, networking, security, and automation.</li><li>Demonstrated experience with AI/ML solutions and integrations.</li><li>Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders.</li><li>Strong problem-solving skills and ability to work independently and as part of a team.</li><li>Preferred Soft Skills:</li><li>Ability to collaborate across multiple business units and technical teams.</li><li>Strong presentation and documentation skills.</li><li>Experience working in multi-cloud or hybrid cloud environments.</li><li>High level of curiosity and adaptability to new technologies.</li><li>Expert Industry: Financial Services, IT Services, Cloud Consulting, etc.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Azure Cloud AI Technical Architect

Geosoft

The Role
 We are seeking a Chief Technology Officer (CTO) to lead the technology vision, architecture, and execution of our platform products. This is not a maintenance role—it's a build-and-scale role. You will take our Propriety platform from early traction to mass adoption (100,000+ users) while building the AI/ML capabilities that will differentiate us in the market. You will report directly to the CEO and be a member of the Executive Leadership Team. What You Will Do Platform Leadership • Own the complete technology strategy and roadmap for our platform • Scale the platform from early tration to 100,000+ users • Architect for enterprise-grade performance, security, and reliability • Drive platform from project-based licensing to SaaS subscription model • Build and manage cloud infrastructure for global deployment Product & Engineering • Lead product development from concept to market launch • Build and manage the engineering team • Establish engineering best practices: CI/CD, code review, testing, documentation • Own technical decisions: architecture, technology stack, build vs. buy • Manage technical debt while delivering new features AI/ML Strategy • Define AI/ML roadmap for platform intelligence features • Oversee development of automated classification, predictive analytics, anomaly detection • Build data pipeline architecture for AI model training • Partner with AI Lead to integrate machine learning into platform Innovation & R&D • Identify emerging technologies relevant to digital twins, geospatial, and asset management • Drive innovation initiatives: computer vision, LiDAR processing, IoT integration • Establish partnerships with technology vendors and research institutions • Protect intellectual property through patents and trade secrets Leadership • Build, mentor, and retain a world-class engineering team • Establish engineering culture: ownership, quality, speed, innovation • Manage technology budget and vendor relationships • Represent Geosoft technology to clients, partners, and investors
 
Requirements
 Required Experience • 15+ years in software engineering with 8+ years in leadership roles • Proven track record of building and scaling platforms from thousands to hundreds of thousands of users • Experience as CTO, VP Engineering, or Head of Product at a growth-stage technology company • Deep expertise in cloud architecture (AWS, Azure, or GCP) at scale • Hands-on experience with: o Modern web technologies (React, Node.js, or similar) o Database architecture (SQL, NoSQL, time-series) o API design and microservices architecture o DevOps and infrastructure as code • Experience building SaaS/subscription products with recurring revenue models • Team building experience: hired and managed engineering teams of 20+ people Preferred Experience • Experience in geospatial, digital twins, or asset management platforms • Background in 3D visualization, point cloud processing, or CAD/BIM • Experience with AI/ML integration into products • Oil & gas or industrial sector domain knowledge • Startup or scale-up environment experience • Experience with investor relations and due diligence from technology perspective Education • Bachelor's or Master's degree in Computer Science, Engineering, or related field • MBA or business education is a plus Technical Environment You should be comfortable with (or quickly learn): • Frontend: React, Three.js, WebGL for 3D visualization • Backend: Node.js, Python, microservices • Cloud: AWS (primary), containerization, Kubernetes • Data: PostgreSQL, MongoDB, Redis, data lakes • AI/ML: TensorFlow, PyTorch, computer vision libraries • Geospatial: Point cloud processing, GIS, coordinate systems
 
About the company
 GeoSoft represents the evolution of industrial digitalization. What began as a specialized surveying operation in Australia has transformed into a global technology leader, delivering mission-critical digital twin solutions across five continents. Our journey spans traditional land surveying, aerial mapping, subsea exploration, and now, AI-powered digital twins. This unique heritage gives us an unparalleled understanding of both physical infrastructure and digital innovationallowing us to bridge the gap between real-world complexity and digital clarity. Today, we're trusted by global energy leaders, infrastructure developers, and government entities to digitize their most critical assets with submillimeter precision and intelligent data integration.

Chief Technology Officer

Acenet

Experience: 4 to 7 years Location: Abu DhabiAbout Us:AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.Job Summary:We are looking for an experienced Microsoft Dynamics 365 CRM Developer with strong expertise in Microsoft Dataverse, Power Platform, and working knowledge of Angular applications. The ideal candidate will be responsible for developing, enhancing, and maintaining both front-end and backend components of CRM solutions. This role also requires hands-on experience in Dynamics AI Agent configuration and management, along with system administration, user support, and continuous optimization of CRM processes. The candidate will work closely with business stakeholders to deliver scalable, efficient, and user-friendly solutions.Key Responsibilities:1.Development &amp; Integration:<ul><li>Design, develop, and maintain solutions within Microsoft Dynamics 365 CRM.</li><li>Implement and manage data models, business rules, workflows, and tables in Dataverse.</li><li>Develop and maintain Angular-based front-end components.</li><li>Ensure seamless integration between Angular UI and Dataverse using REST APIs and OData.</li><li>Design and consume APIs, custom connectors, and Power Automate flows.</li></ul>2.System Configuration &amp; Administration:<ul><li>Perform system configurations, module customization, and environment management.</li><li>Manage workflow updates, approval processes, and automation enhancements.</li><li>Handle user onboarding, access management, and training.</li><li>Provide ongoing system support, troubleshooting, and issue resolution.</li></ul>3.Dynamics AI Agent configuration and management:<ul><li>System configurations and module adjustments.*Workflow and approval process updates.</li><li>Development and maintenance of reports and dashboards.*User onboarding, training, and support.</li><li>General system administration and troubleshooting.</li><li>Configuration and optimization of Dynamics AI Agents.</li></ul>4.Reporting &amp; Optimization:<ul><li>Develop and maintain reports, dashboards, and analytics within Dynamics 365.</li><li>Optimize system performance across front-end and backend layers.</li><li>Ensure data integrity, security, and compliance with best practices</li></ul>5.Collaboration &amp; Delivery:<ul><li>Work closely with business stakeholders, UI/UX teams, and technical teams.</li><li>Participate in requirement gathering, solution design, and documentation.</li><li>Follow best practices for coding, version control, and deployments (Azure DevOps, Git).</li></ul>Role Requirements and Qualifications:*<ul><li>4&ndash;7 years of experience in Microsoft Dynamics 365 CRM development.</li><li>Strong hands-on experience with Microsoft Dataverse, Power Apps, and Power Automate.</li><li>Experience with Dynamics AI Agent configuration and management.</li><li>Proficiency in HTML5, CSS3, JavaScript, and TypeScript, with Angular/AngularJS experience.</li><li>Strong knowledge of REST APIs, OData, and JSON-based integrations.</li><li>Understanding of Power Platform architecture, security model, and environments.</li><li>Experience in implementing business rules, workflows, and automation.</li><li>Familiarity with Azure Active Directory and Microsoft 365 integrations.</li><li>Knowledge of SharePoint integration is a plus.</li><li>Experience with Git, Azure DevOps, or CI/CD tools.</li><li>Strong debugging, analytical, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul>Work Location: In person

CRM MS Dynamics

<div><div>Experience: 4 to 7 years
 
Location: Abu Dhabi
 
Job code: 101482
 
Posted on: Apr 16, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary: 
We are looking for an experienced Microsoft Dynamics 365 CRM Developer with strong expertise in Microsoft Dataverse, Power Platform, and working knowledge of Angular applications. The ideal candidate will be responsible for developing, enhancing, and maintaining both front-end and backend components of CRM solutions. This role also requires hands-on experience in Dynamics AI Agent configuration and management, along with system administration, user support, and continuous optimization of CRM processes. The candidate will work closely with business stakeholders to deliver scalable, efficient, and user-friendly solutions.
<div>Key Responsibilities: 
1.Development &amp; Integration: 
<ul><li>Design, develop, and maintain solutions within Microsoft Dynamics 365 CRM.</li><li>Implement and manage data models, business rules, workflows, and tables in Dataverse.</li><li>Develop and maintain Angular-based front-end components.</li><li>Ensure seamless integration between Angular UI and Dataverse using REST APIs and OData.</li><li>Design and consume APIs, custom connectors, and Power Automate flows.</li></ul>
2.System Configuration &amp; Administration: 
<ul><li>Perform system configurations, module customization, and environment management.</li><li>Manage workflow updates, approval processes, and automation enhancements.</li><li>Handle user onboarding, access management, and training.</li><li>Provide ongoing system support, troubleshooting, and issue resolution.</li></ul>
3.Dynamics AI Agent configuration and management: 
<ul><li>System configurations and module adjustments.</li><li>Workflow and approval process updates.</li><li>Development and maintenance of reports and dashboards.</li><li>User onboarding, training, and support.</li><li>General system administration and troubleshooting.</li><li>Configuration and optimization of Dynamics AI Agents.</li></ul>
4.Reporting &amp; Optimization: 
<ul><li>Develop and maintain reports, dashboards, and analytics within Dynamics 365.</li><li>Optimize system performance across front-end and backend layers.</li><li>Ensure data integrity, security, and compliance with best practices.</li></ul>
5.Collaboration &amp; Delivery: 
<ul><li>Work closely with business stakeholders, UI/UX teams, and technical teams.</li><li>Participate in requirement gathering, solution design, and documentation.</li><li>Follow best practices for coding, version control, and deployments (Azure DevOps, Git).</li></ul></div>
<div>Role Requirements and Qualifications: 
<ul><li>4&ndash;7 years of experience in Microsoft Dynamics 365 CRM development.</li><li>Strong hands-on experience with Microsoft Dataverse, Power Apps, and Power Automate.</li><li>Experience with Dynamics AI Agent configuration and management.</li><li>Proficiency in HTML5, CSS3, JavaScript, and TypeScript, with Angular/AngularJS experience.</li><li>Strong knowledge of REST APIs, OData, and JSON-based integrations.</li><li>Understanding of Power Platform architecture, security model, and environments.</li><li>Experience in implementing business rules, workflows, and automation.</li><li>Familiarity with Azure Active Directory and Microsoft 365 integrations.</li><li>Knowledge of SharePoint integration is a plus.</li><li>Experience with Git, Azure DevOps, or CI/CD tools.</li><li>Strong debugging, analytical, and problem-solving skills.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

GenBio AI

<div>
 GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
 
 
 This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
 
 
 As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Source &amp; Acquire Biological Data - Identify, evaluate, and obtain high-quality bioinformatics datasets from public and partner sources (e.g., NCBI, PubChem, ENCODE,UniProt etc.) to support research and model development initiatives
 </li>
 <li>
 Deeply Understand Complex Datasets - Develop a comprehensive understanding of biological datasets, including data structures, schemas, metadata standards, entity relationships, and underlying biological context to ensure accurate interpretation and usage
 </li>
 <li>
 Design &amp; Implement Data Processing Pipelines - Develop robust preprocessing scripts and scalable data transformation workflows using Python, R, and relevant Tools. Leverage AI-assisted tools where appropriate to process, clean, normalize, and integrate complex biological data for foundation model training
 </li>
 <li>
 Structure &amp; Standardize Biological Data - Organize heterogeneous datasets into well-defined, interoperable formats aligned with internal infrastructure requirements and downstream AI training pipelines
 </li>
 <li>
 Bioinformatics Data Analysis - Perform exploratory and statistical analysis of genomic, transcriptomic, proteomic, and other multi-omics datasets to assess data quality, uncover biological patterns, and generate insights that inform model development. Apply appropriate computational and statistical methods to validate assumptions and support downstream AI training and evaluation
 </li>
 <li>
 Build Data Products - Create production-ready data assets, including standardized datasets, curated releases, dashboards, analytical reports, and technical documentation to enable efficient research and model evaluation
 </li>
 <li>
 Ensure Data Quality &amp; FAIR Compliance - Curate, annotate, validate, and standardize public and partner datasets in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles, ensuring long-term usability and reproducibility
 </li>
 <li>
 Collaborate Cross-Functionally - Partner closely with research scientists and ML engineers to translate biological research needs into scalable data engineering solutions that support AI model training and evaluation
 </li>
 <li>
 Knowledge Sharing &amp; Documentation - Contribute domain expertise by documenting data methodologies, maintaining clear technical documentation, and sharing biological data insights across teams
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Bioinformatics, Computational Biology, Computer Science, or a related field with a heavy focus on the life sciences
 </li>
 <li>
 Biological Data: Deep, hands-on familiarity with multiple biomedical data modalities (e.g., genomics, transcriptomics, spatial omics, protein structure, biomedical imaging, clinical/phenotypic data, etc.)
 </li>
 <li>
 Biological Tools: Familiar with Bioconda,Biopython,Bioconductor, samtools,bamtools,bcftools,gffutils etc
 </li>
 <li>
 Scripting &amp; Tooling: Strong programming skills in Python (Pandas, NumPy) and proficiency with standard bioinformatics workflow managers and tools (e.g., Ray, Kubeflow)
 </li>
 <li>
 Engineering Handoff: Experience writing clean, modular code that can be easily picked up by core data engineers for optimization in cloud environments (AWS/GCP/HF) and containerized setups (Docker)
 </li>
 <li>
 AI/ML Awareness: A solid understanding of machine learning workflows and how biological data must be formatted and batched for deep learning frameworks (e.g., PyTorch)
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Bioinformatics Data Engineer

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Bioinformatics Data Engineer