Qureos Mentor

Architecture In Motion

<div>Responsibilities: 
<ul><li>
Design user interfaces for software applications developed using Microsoft technologies, ensuring a high-quality user experience.</li>
<li> 
Collaborate with software engineers, QA analysts, product managers, and other stakeholders to understand requirements and constraints.</li>
<li> 
Utilize current UX/UI design tools and methodologies to create wireframes, prototypes, and high-fidelity designs.</li>
<li> 
Conduct user research and usability testing to gather feedback and refine designs</li>
<li> 
Ensure designs are accessible and responsive across various devices and platforms</li>
<li> 
Present and defend design decisions to diverse teams, including technical and non-technical members</li>
<li> 
Stay updated with the latest trends, tools, and technologies in the UI/UX design field</li></ul> 


Requirements: 
<ul>
<li>
Atleast 5 Years of experience required</li>
<li>Bachelor&rsquo;s degree in Design, Human-Computer Interaction, or a related field</li>
<li> 
Proven experience in UI/UX design, with a strong portfolio showcasing your work</li>
<li> 
Proficiency in current UX/UI design tools (e.g., Sketch, Figma, Adobe XD) and methodologies</li>
<li> 
Excellent communication and collaboration skills, with the ability to work effectively across different teams</li>
<li> 
Strong problem-solving skills and attention to detail</li>
<li> 
Knowledge of best practices in accessibility and responsive design</li>
<li> 
Familiarity with software development processes and the ability to work closely with technical teams</li>
<li> 
A creative thinker who is open to feedback and continuous improvement</li></ul></div>

UI/UX Designer (Remote)

<div>About the Role:

We are seeking an experienced and results-driven Technical Project Manager to join our growing team in Pakistan. This role is ideal for a tech-savvy professional with a robust background in managing software development and infrastructure projects, particularly within .NET and Azure ecosystems.

As a key liaison between technical teams, stakeholders, and business units, you&rsquo;ll lead the end-to-end delivery of high-impact projects while ensuring alignment with both engineering and product goals. Hands-on experience with Azure DevOps pipelines, environments, and work item tracking is a strong asset and critical for success in this role.

This is a work-from-home position in Pakistan, in the Eastern Time Zone. 
Key Responsibilities:
<ul><li>Project Leadership:</li></ul>

 Drive full-lifecycle delivery of technical projects, with a focus on Azure-hosted services and .NET-based applications.
<ul><li>Azure DevOps Integration:</li></ul>

 Utilize Azure DevOps for sprint planning, pipeline oversight, release management, and CI/CD governance.
<ul><li>Product Alignment:</li></ul>

 Collaborate closely with Product Owners to ensure user stories and acceptance criteria align with business value, especially in product-centric environments.
<ul><li>Team Management:</li></ul>

 Coordinate efforts across development, QA, DevOps, and UX teams to ensure smooth execution and high-quality outcomes.
<ul><li>Stakeholder Engagement:</li></ul>

 Serve as a strategic bridge between technical teams and business stakeholders to ensure transparency and alignment.
<ul><li>Project Planning:</li></ul>

 Define project scope, deliverables, timelines, and budgets in partnership with executive leadership.
<ul><li>Risk &amp; Change Management:</li></ul>

 Proactively identify risks, issues, and change impacts with actionable mitigation strategies.
<ul><li>Progress Reporting:</li></ul>

 Maintain detailed project plans, status reports, and KPI tracking with regular updates to senior leadership.
<ul><li>Methodology Adherence:</li></ul>

 Champion Agile/Scrum best practices while adapting to hybrid project methodologies as needed.
<ul><li>Technical Oversight:</li></ul>

 Support the translation of architectural and technical designs into tangible project outcomes. 
Qualifications:
<ul><li>5+ years of project management experience in technical and/or product-led software development environments.</li></ul>
<ul><li>Proven success in managing projects leveraging .NET frameworks and Azure cloud infrastructure.</li></ul>
<ul><li>Hands-on experience with Azure DevOps tools, including Boards, Pipelines, and Repos.</li></ul>
<ul><li>Strong grasp of Agile/Scrum, SDLC, and product development lifecycles.</li></ul>
<ul><li>Exceptional communication, leadership, and organizational skills.</li></ul>
<ul><li>Technical background (software development, cloud infrastructure, or systems integration) is highly preferred.</li></ul>
<ul><li>Relevant certifications such as PMP, CSM, or Azure Fundamentals are considered an asset.</li></ul> 
Employment Terms:

Job Type: Full-Time Employee 
Why Join Us?
<ul><li>Be part of a collaborative, product-driven, and forward-thinking team.</li></ul>
<ul><li>Opportunity to lead high-impact Azure/.NET projects at scale.</li></ul>
<ul><li>Competitive compensation, benefits, and career growth opportunities.</li></ul> 
Apply now to be part of a team where your leadership drives real business impact.</div>

Technical Project Manager (Remote)

<div>Position:

Azure DevOps Engineer 
Location:

Remote (Full-Time, EST Time Zone) 
Division:

Digital Solutions &amp; Innovation (DSI) 
Department:

Cloud &amp; DevOps 
Reports To:

Manager, Cloud Engineering 
About the Role 
Architecture in Motion Inc. (AIM) is seeking a Certified Azure DevOps Engineer to join our Cloud &amp; DevOps team within the Digital Solutions &amp; Innovation (DSI) division. 
This position plays a critical role in building, automating, and maintaining our cloud-native infrastructure and CI/CD workflows in Azure. The ideal candidate will combine strong hands-on expertise in Azure DevOps, Infrastructure as Code (IaC), .NET integration, and Azure B2C with a deep understanding of cloud security and performance optimization. 
You will collaborate closely with the Application Development, Integration Services, and AI &amp; Data teams to ensure reliable, scalable, and secure deployment of enterprise-grade applications across AIM&rsquo;s digital platforms. 
Key Responsibilities

Azure DevOps &amp; CI/CD
<ul>
<li>Design, build, and maintain CI/CD pipelines using Azure DevOps for .NET and related stacks.</li>
<li>Implement automated build, test, deployment, release, and rollback pipelines.</li>
<li>Integrate security scanning and quality gates (SonarCloud, GitHub Advanced Security, or Azure DevOps extensions).</li>
<li>Manage Git repositories, branching strategies, and enforce code quality standards.</li>
<li>Integrate pipelines with Azure Key Vault, App Configuration, and Application Insights.</li></ul> 


Infrastructure as Code &amp; Automation
<ul>
<li>Define and deploy Azure infrastructure using Terraform, Bicep, or ARM templates.</li>
<li>Automate operations, monitoring, and provisioning using PowerShell, YAML, or Azure CLI.</li>
<li>Build reusable automation templates to standardize and scale infrastructure deployment.</li></ul> 


Azure Platform Engineering
<ul>
<li>Manage and optimize key Azure services: App Services, Functions, API Management, Cosmos DB, Redis, Azure SQL, Blob Storage, and more.</li>
<li>Configure and manage Azure API Management (APIM) for secure, scalable API delivery.</li>
<li>Implement Azure B2C for identity management, including user flows, custom policies, and integrations with .NET applications.</li>
<li>Manage Redis Cache performance tuning and monitor distributed caching for scalability.</li></ul> 


.NET Application Integration
<ul>
<li>Write and maintain .NET (C#) code that integrates with Azure services such as Event Grid, Redis, Service Bus, and Azure AD B2C.</li>
<li>Collaborate with development teams to ensure all solutions are cloud-ready, secure, and performant.</li>
<li>Participate in code reviews, troubleshooting, and production performance optimization.</li></ul> 


Security, Monitoring &amp; Governance
<ul>
<li>Implement role-based access control (RBAC), managed identities, and secure DevOps practices.</li>
<li>Work with the Security and QA teams to maintain compliance with regulatory standards (HIPAA, ISO, SOC).</li>
<li>Configure and monitor systems using Azure Monitor, Log Analytics, and Application Insights.</li></ul> 


Required Qualifications

Certifications 
<ul>
<li>Microsoft Certified: Azure DevOps Engineer Expert (Required) 
</li>
<li>Optional: Microsoft Certified Azure Administrator or Developer Associate</li></ul> 


Experience 
<ul>
<li>5+ years of hands-on experience with Azure cloud infrastructure and DevOps engineering.</li>
<li>3+ years of experience in .NET development and Azure-based deployments.</li>
<li>2+ years of experience working with Azure AD B2C, including custom policy configuration.</li>
<li>2+ years of experience managing Azure Redis Cache in production.</li></ul> 


Technical Skills 
<ul>
<li>Expert in Azure DevOps tools: Repos, Pipelines, Boards, Artifacts.</li>
<li>Proficient in .NET Core / C#, coding, debugging, and integrating Azure SDKs.</li>
<li>Strong experience with Infrastructure as Code (Terraform, Bicep, ARM).</li>
<li>Deep understanding of cloud networking (VNets, NSGs, Load Balancers, DNS).</li>
<li>Familiarity with containers (Docker, AKS) and Kubernetes concepts.</li></ul> 


DevOps Tools &amp; Languages 
<ul>
<li>PowerShell, Bash, Azure CLI, YAML</li>
<li>Git, GitHub/GitLab, Azure Repos</li>
<li>Monitoring: Azure Monitor, Application Insights, ELK (optional)</li></ul> 


Soft Skills
<ul>
<li>Strong communication and collaboration across cross-functional engineering teams.</li>
<li>Self-starter with strong problem-solving and analytical skills.</li>
<li>Ability to work in a fast-paced Agile environment with minimal supervision.</li></ul> 


Nice to Have
<ul>
<li>Experience with Azure Kubernetes Service (AKS) and containerized .NET apps.</li>
<li>Familiarity with OAuth2.0 / OpenID Connect (especially with B2C).</li>
<li>Experience with Azure Front Door or Application Gateway.</li>
<li>Multi-cloud experience (AWS, GCP) for comparative or hybrid architecture scenarios.</li></ul> 


Why Join AIM
<ul>
<li>100% remote work flexibility.</li>
<li>Opportunity to work with a modern, cloud-first engineering environment.</li>
<li>Collaborate across Application Development, DevOps, and AI teams on enterprise-grade solutions.</li>
<li>Exposure to cutting-edge Azure architecture, automation, and DevSecOps practices.</li>
<li>A collaborative, startup-oriented culture focused on continuous learning and innovation.</li></ul> 


Architecture in Motion Inc. (AIM) 

Empowering Digital Transformation through Cloud, Innovation, and Excellence.</div>

Senior Cloud Engineer – Azure DevOps

<div>Senior AI Developer (Remote)

Job Summary:

We are looking for an experienced Senior AI Developer to lead the design, development, and deployment of our AI-driven solutions and services. This role involves establishing a robust in-house AI development pipeline and integrating cutting-edge generative AI capabilities into our products. The ideal candidate will have over five years of experience in the AI/ML domain across multiple facets, including natural language processing (NLP), data engineering, model deployment, and MLOps best practices.

As our Senior AI Developer, you will be responsible for building and scaling AI applications that leverage the latest in large language models and cloud technologies. You will work closely with our product, data engineering, and DevOps teams to ensure these AI solutions are robust, scalable, and seamlessly integrated into our platform, while upholding security and quality standards for our startup&rsquo;s rapidly evolving offerings. 


Key Responsibilities: 

<ul>
<li>AI Solution Design &amp; Integration: Lead the design, development, and integration of AI-driven solutions into our products, ensuring these systems are robust, scalable, and deliver meaningful value to users.</li>
</ul><ul><li>Chatbot &amp; Generative AI Applications: Build and integrate intelligent chatbot and generative AI applications using large language models (LLMs) to enhance user engagement and automate customer support tasks.</li>
</ul><ul><li>Prompt Engineering &amp; Workflow Orchestration: Design effective prompt engineering strategies and orchestrate multi-step AI agent workflows (using frameworks like LangChain or LangGraph) to enable LLMs to perform complex tasks and conversations.</li>
</ul><ul><li>Data Pipelines &amp; RAG Integration: Integrate vector databases and implement retrieval-augmented generation (RAG) techniques to provide LLMs with relevant contextual data, working with data engineers to incorporate enterprise data sources (e.g., Snowflake, Databricks) into AI pipelines.</li>
</ul><ul><li>Model Deployment &amp; MLOps: Deploy and manage machine learning models (including LLMs) in production on cloud infrastructure (Azure preferred or AWS), implementing MLOps best practices like CI/CD pipelines, containerization (Docker, Kubernetes), and automated testing to ensure reliable and scalable model deployments.</li>
</ul><ul><li>Performance Monitoring &amp; Optimization: Monitor the performance of AI models and services, recommend and implement optimizations (such as model fine-tuning or caching) to improve latency and accuracy, and troubleshoot any issues in the AI pipeline.</li>
</ul><ul><li>Scalability &amp; Cost Optimization: Design AI systems with scalability and efficiency in mind, and optimize resource utilization and cloud costs for both model training and inference workloads.</li>
</ul><ul><li>Security &amp; Compliance: Ensure AI solutions adhere to data privacy and security standards (e.g., GDPR) and implement appropriate access controls and governance to maintain compliance with organizational policies and ethical AI practices.</li>
</ul><ul><li>Collaboration: Work closely with product management, data engineering, DevOps, and software development teams to ensure AI initiatives align with business goals and integrate seamlessly into existing workflows.</li>
</ul><ul><li>Innovation &amp; Best Practices: Stay up-to-date with the latest advancements in AI and machine learning (new models, frameworks, techniques) and industry best practices. Drive continuous innovation and improvements in our AI solutions and development processes.</li></ul> 


Required Skills &amp; Qualifications: 

<ul>
<li>Experience: Minimum of 5 years of experience in software development, including at least 3 years of hands-on work in AI/ML engineering and deploying models to production environments.</li>
</ul><ul><li>LLM &amp; NLP Expertise: Deep understanding of natural language processing and large language models, with hands-on experience building applications using OpenAI/Gemini APIs or similar LLM platforms.</li>
</ul><ul><li>Vector Databases &amp; RAG: Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and implementing retrieval-augmented generation techniques to provide relevant context to AI models.</li>
</ul><ul><li>Programming Skills: 
Strong expertise in .NET and python development, with hands-on experience using Microsoft Dev Box for cloud-based development environments and building modern web applications with Blazor Wasm. Skilled in integrating systems and services through Azure for streamlined deployment and management. Additionally, proficient in machine learning frameworks like TensorFlow or PyTorch, and familiar with AI tools such as Hugging Face Transformers and LangChain for developing LLM-driven applications.</li>
</ul><ul><li>MLOps &amp; DevOps: Experience with machine learning operations and DevOps practices for AI, including building CI/CD pipelines for model deployment, containerizing ML solutions with Docker/ Kubernetes, and automating model retraining and monitoring.</li>
</ul><ul><li>Cloud AI Platforms: Proven experience deploying AI solutions on cloud platforms, preferably Microsoft Azure (Azure Machine Learning, Cognitive Services, etc.) or AWS, and leveraging cloud infrastructure for scalability and performance.</li>
</ul><ul><li>Data Engineering: Familiarity with data pipeline and warehouse technologies (e.g., Snowflake, Databricks) and experience handling large datasets for model training and inference, working with data engineering teams to ensure data quality and availability.</li>
</ul><ul><li>Problem Solving: Strong analytical and troubleshooting skills for complex AI systems, with a proactive approach to identifying issues, debugging model errors, and ensuring reliability of AI services.</li>
</ul><ul><li>Collaboration &amp; Communication: Excellent communication skills and ability to work effectively in cross-functional teams. Able to articulate complex AI concepts in simple terms to non-technical stakeholders and collaborate on innovative solutions.</li></ul> 


Nice-to-Have Qualifications: 

<ul>
<li>Advanced Degree &amp; Research: Master&rsquo;s or PhD in Artificial Intelligence, Computer Science, or a related field, with any research publications or open-source contributions in the AI/ML domain.</li>
</ul><ul><li>Full-Stack Development: Familiarity with general software development (e.g., building web or mobile applications) and the ability to integrate AI components into front-end or back-end systems (experience with JavaScript/TypeScript frameworks (such as React or Next.js) and backend technologies like Node.js, Go, or Rust is a plus.</li>
</ul><ul><li>Big Data &amp; Distributed Systems: Experience with big data processing and distributed computing frameworks (such as Apache Spark or Hadoop) for handling and processing large-scale datasets in AI projects.</li>
</ul><ul><li>Monitoring &amp; ML Observability: Familiarity with monitoring and logging tools (e.g., Azure Monitor, Prometheus, MLflow) for tracking model performance, data drift, and system health in production AI systems.</li></ul></div>

Senior AI Developer (Remote)

<div>Position Concept: 
Reporting to the Director, Digital Solutions &amp; Innovation, the Manager, IT Application Development is responsible for leading all web, mobile, and hub development initiatives across the organization. This position oversees a team of Full Stack Developers and Software Engineers working on .NET MAUI, Blazor, and Angular-based solutions. 
The role functions as both a hands-on technical leader and a development coach, ensuring the team delivers high-quality, scalable, and secure applications that align with business and product objectives. This position collaborates closely with the Cloud &amp; DevOps, Quality Engineering, and Product &amp; Business Analysis teams. 
Responsibilities 

Leadership &amp; Team Management
<ul>
<li>Lead and mentor development teams across multiple technology stacks (web, mobile, and hub).</li>
<li>Run daily standups and sprint ceremonies for the Application Development team.</li>
<li>Maintain sprint boards and ensure all work items are tracked in Jira (stories, bugs, sub-tasks).</li>
<li>Ensure all tasks have appropriate effort estimates and up-to-date status.</li>
<li>Conduct code reviews and enforce adherence to coding standards and architectural patterns.</li>
<li>Coach developers in modern design practices and performance optimization.</li>
<li>Collaborate with the Director, DSI, on staffing, workload balance, and training plans.</li></ul> 


Agile Delivery &amp; Sprint Operations
<ul>
<li>Manage sprint planning, backlog refinement, and capacity planning.</li>
<li>Drive the story estimation process and ensure clear task breakdowns.</li>
<li>Partner with Product Managers and BAs to align deliverables with business goals.</li>
<li>Coordinate with the UI/UX and QA teams to ensure designs and functionality meet requirements.</li>
<li>Track team velocity and forecast delivery timelines.</li>
<li>Identify risks and proactively communicate potential delivery issues.</li></ul> 


Release &amp; Feature Planning
<ul>
<li>Partner with Product Management to define feature scope and release roadmaps.</li>
<li>Contribute to estimating and planning annual feature releases based on velocity and capacity.</li>
<li>Prioritize backlog items and ensure sprint commitments align with release objectives.</li>
<li>Oversee preparation of release notes and stakeholder communication for each release.</li></ul> 


Design &amp; Architecture
<ul>
<li>Ensure all new features adhere to architectural principles and established design patterns.</li>
<li>Collaborate with Cloud &amp; DevOps and Integration Services teams on scalable solutions.</li>
<li>Define and review database schemas, API endpoints, and service interfaces.</li>
<li>Promote an API-first, modular architecture approach across all applications.</li></ul> 


Development &amp; Technical Excellence
<ul>
<li>Contribute hands-on to development tasks as needed (&ldquo;player-coach&rdquo; model).</li>
<li>Ensure consistent use of CI/CD pipelines and automated testing.</li>
<li>Enforce version control best practices (GIT branching, pull requests, merge reviews).</li>
<li>Maintain technical documentation for architecture, design decisions, and code standards.</li>
<li>Foster continuous improvement through adoption of new frameworks and tooling.</li></ul> 


Collaboration &amp; Cross-Team Coordination
<ul>
<li>Work closely with:
<ul><li>Cloud &amp; DevOps (pipeline reliability, deployments, infrastructure support)</li>
<li>Quality Engineering (test coverage, regression validation)</li>
<li>Product &amp; Business Analysis (requirements and acceptance criteria)</li>
<li>Integration Services (API design and inter-system dependencies) 
</li>
</ul></li><li>Participate in inter-departmental planning and delivery review sessions.</li></ul> 


Developer Onboarding &amp; Growth
<ul>
<li>Lead the technical onboarding process for new developers.</li>
<li>Participate in technical interviews and hiring recommendations.</li>
<li>Assign mentors and facilitate knowledge transfer sessions.</li>
<li>Define and track individual development plans for each team member.</li>
<li>Encourage professional development through certifications, workshops, and learning paths.</li></ul> 


Technical Requirements
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li>
<li>7+ years of experience designing and building enterprise software solutions.</li>
<li>Proficiency in Microsoft development tools: Visual Studio 2022, .NET 6/8, C#, Blazor, MAUI, Angular 16, TypeScript, and T-SQL.</li>
<li>Strong understanding of Azure services including App Services, Functions, SQL Database, and CI/CD pipelines.</li>
<li>Experience leading Agile development teams using Jira or Azure DevOps.</li>
<li>Deep understanding of design patterns, architecture principles, and best coding practices.</li>
<li>Proficiency in GIT for version control and modern branching strategies.</li>
<li>Proven track record of delivering scalable applications under tight deadlines.</li></ul> 


Soft Skills
<ul>
<li>Strong communication and leadership abilities.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Proven ability to mentor, motivate, and manage technical teams.</li>
<li>Collaborative mindset, with the ability to work across functions (DevOps, QA, Product).</li>
<li>Results-driven, with focus on quality, delivery, and innovation.</li></ul> 


Position Summary

The Manager, IT Application Development serves as a key leader within the Digital Solutions &amp; Innovation Division, driving technical excellence and delivery performance across the development organization. This position ensures the alignment of technology solutions with strategic goals, helping AIM deliver best-in-class digital products for internal and external stakeholders.</div>

IT Application Development Manager (Remote)

<div>Responsibilities: 
<ul>
<li>
Design, develop, and maintain all types of applications using .NET 6, .NET 8, Xamarin Forms,</li>
</ul>
 .NET MAUI, Blazor, GraphQL Angular, TypeScript, CSS, SQL Server and C#.
<ul>
<li>Integrate and manage Azure platform services, including Azure SQL Database, Azure Functions, Azure App Services, and other Azure services to build scalable and robust</li>
<li>Utilize Azure DevOps for continuous integration and continuous deployment (CI/CD) pipelines.</li>
<li>Work on SQL Server database design, development, and management, using T-SQL.</li>
<li>Collaborate with teams to implement new features and ensure the highest level of performance and</li>
<li>Adhere to best practices and design patterns in software</li>
<li>Employ GIT for version control and source code</li>
<li>Engage in Agile methodologies and participate in all phases of the software development</li></ul> 


Requirements: 
<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related</li>
<li>5+ years of experience in designing and building complex software systems.</li>
<li>Proficiency in current Microsoft development tools and technologies, including Visual Studio 2022, .NET 6/8, Xamarin Form.NET MAUI, Angular 16, TypeScript, C#, and T-SQL.</li>
<li>Strong experience with Azure cloud services and understanding of various Azure platform services.</li>
<li>Expertise in software design patterns, best practices, and Agile development methodologies.</li>
<li>Proficient in using GIT for source control.</li>
<li>Real world experience working with CI/CD.</li>
<li>Excellent problem-solving abilities and a track record of working under tight</li></ul></div>

Full Stack Developer - Azure (Remote)

<div>Job Summary: 


We are seeking an Azure Machine Learning MLOps Engineer to work in AI/ML team. 
As an ML Engineer, you'll be responsible for design, development and implementation of all cycles of MLOps including test, staging, monitoring and deployment of predictive models on cloud-based platform specifically Azure cloud. ML Engineer needs to ensure that our machine learning systems are reliable, scalable, and secure, and that they meet the needs of our customers. 


The ideal candidate will have an extended experiences of deployment and maintaining of AI / ML models in production, a deep understanding of the latest developments in machine learning &amp; artificial intelligence and working experience with both structured and unstructured data. 


Job Responsibilities: 

<ul>
<li>Collaborate closely with the AI / ML and software teams to improve the internal processes and integrate the Machine Learning models into our products and services.</li>
<li>MLOps and Automation that cover automating data pipelines, monitoring data processes, and managing deployments using tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery (CI/CD).</li>
<li>Deploy and manage AI/ML models in production.</li>
<li>Automating AI/ML model deployment and updating.</li>
<li>Setting up monitoring for the AI/ML pipeline.</li>
<li>Automating scalable CI/CD pipelines to account for data, codes, and model changes.</li>
<li>Development and setting up automated model retraining and test pipelines.</li>
<li>Prepare unit tests for AI / ML algorithms and models.</li>
<li>Contribution in design, development, and test of data ETL pipelines for ML models.</li>
<li>Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.</li>
<li>Maintaining the infrastructure that supports the models and algorithms.</li>
<li>Design, build and deploy powerful BI solutions as per business requirements.</li>
<li>Participate in modeling Relational and NoSQL databases.</li>
<li>Host and optimize ML Artifacts on premise and on the cloud.</li>
<li>Contribution in projects documentation.</li>
<li>Investigating new technologies that meet corporate standards to enhance the team.</li>
<li>Work in a team oriented and agile environment based on designed scrums, sprints and daily stand ups.</li>
<li>Ability to work on your own and with the team.</li>
<li>Performs other duties as assigned.</li></ul> 


Qualifications: 


You MUST have the following: 

<ul>
<li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Machine Learning, or related areas.</li>
<li>Proven experience as a ML Ops Engineer or similar role.</li>
<li>Understanding of data structures, data modeling and software architecture.</li>
<li>Ability to design and implement cloud solutions.</li>
<li>Ability to write robust codes in SQL and Python.</li>
<li>Experience working with Containers and Kubernetes.</li>
<li>High level knowledge of frameworks such as Keras, PyTorch, Tensorflow.</li>
<li>Ability to build MLOps pipelines including CI/CD Configuration Management, Containers &amp; Infrastructure Orchestration.</li>
<li>Experience with software development and preparation of Python packages.</li>
<li>Experience in using MLOps frameworks like MLFlow.</li>
<li>Working knowledge of orchestrating end to end ML pipelines.</li>
<li>Deep understanding of Azure, Private Networking, ML Studio and its sub-components, Azure Synapse, Azure DataBricks, Azure Stream Analytics, Azure Data factory, OpenAI, Github Actions, and Azure DevOps.</li>
<li>Experiences with version control tools such as Github.</li>
<li>Work experiences with typical data storage technologies and methodologies included data warehouse and data lake.</li>
<li>Work experience with APIs.</li>
<li>Expertise in SQL, NoSQL databases.</li>
<li>Ability to write Linux/Unix Shell Scripting.</li>
<li>Excellent communication skills.</li>
<li>Ability to work in a team.</li>
<li>Outstanding analytical and problem-solving skills.</li></ul> 


Working Hours:

Eastern Standard Time (EST)</div>

Azure Machine Learning Engineer - (Remote)

Join Architecture In Motion and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.