ai automation engineer

Agency VA

Location: Pakistan (On-site/Hybrid &ndash; Executive Complex, G-8 Markaz, Sector G-8, Islamabad)Department: Technology / AI EngineeringExperience Required: 2&ndash;5 YearsJob SummaryWe are seeking a highly skilled and innovative AI &amp; Automation Engineer to design, develop, and deploy intelligent automation solutions that enhance business efficiency and scalability. The ideal candidate will have hands-on experience with AI technologies, workflow automation tools, and modern APIs, and will play a key role in integrating AI-driven systems into our business processes.Key Responsibilities<ul><li>Design, develop, and implement AI-powered automation solutions across various business functions</li><li>Build and optimize workflows using automation platforms (e.g., Zapier, Make, n8n, etc.)</li><li>Develop and integrate AI models and APIs (e.g., LLMs, NLP systems) into internal tools and client-facing solutions</li><li>Collaborate with cross-functional teams (HR, Operations, Sales, Engineering) to identify automation opportunities</li><li>Create intelligent chatbots, agents, and assistants to streamline internal and external processes</li><li>Monitor, maintain, and improve automation systems for performance, reliability, and scalability</li><li>Ensure data security, compliance, and best practices in AI deployments</li><li>Document processes, workflows, and system architectures</li></ul>Technical Requirements<ul><li>Strong proficiency in Python and/or JavaScript</li><li>Hands-on experience with AI/ML frameworks and APIs (e.g., OpenAI, Claude, LangChain, etc.)</li><li>Experience with workflow automation tools (Zapier, Make, n8n, Power Automate)</li><li>Knowledge of REST APIs, webhooks, and system integrations</li><li>Familiarity with databases (SQL/PostgreSQL)</li><li>Experience with prompt engineering and LLM optimization techniques</li><li>Understanding of cloud platforms (AWS, Azure, or GCP) is a plus</li></ul>Preferred Qualifications<ul><li>Experience building AI agents, chatbots, or RPA solutions</li><li>Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)</li><li>Knowledge of DevOps practices and CI/CD pipelines</li><li>Exposure to frontend frameworks (React, Vue) is a plus</li><li>Strong problem-solving and analytical thinking skills</li></ul>Soft Skills<ul><li>Excellent communication and collaboration abilities</li><li>Ability to translate business needs into technical solutions</li><li>Strong ownership mindset and attention to detail</li><li>Adaptability in a fast-paced, evolving AI landscape</li></ul>What We Offer<ul><li>Opportunity to work on cutting-edge AI and automation projects</li><li>Collaborative and growth-oriented work environment</li><li>Exposure to international clients and real-world AI applications</li><li>Competitive salary and performance-based incentives</li></ul>Pay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current Salary?</li><li>What is your expected Salary?</li><li>Our office is located in G-8 Markaz, Islamabad with working days Monday-Friday and timings 6 PM to 3 AM. The option for remote work is not available. Are you comfortable working in this arrangement?</li></ul>Work Location: In person

AI & Automation Engineer

LiveRamp

<div>LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases&mdash;within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
<div><div>
LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative 
companies. A groundbreaking leader in consumer privacy, data ethics, and foundational 
identity, LiveRamp is setting the new standard for building a connected customer view with 
unmatched clarity and context while protecting precious brand and consumer trust. 
LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest 
range of data collaboration use cases&mdash;within organizations, between brands, and across 
its premier global network of top-quality partners. 
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, 
retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business 
value by deepening customer engagement and loyalty, activating new partnerships, and 
maximizing the value of their first-party data while staying on the forefront of rapidly 
evolving compliance and privacy requirements. 
You will: 
<ul><li> Design and build AI agents and copilot experiences for defined internal use cases,</li></ul>
with guidance on overall architecture and standards. 
<ul><li> Conduct prompt engineering analysis, troubleshooting, and continuous tuning of AI</li></ul>
agents and responses for scoped problem areas. 
<ul><li> Create, maintain, and update robust automations using tools such as Workato, Okta</li></ul>
Workflows, and Zapier. 
<ul><li> Implement agentic AI workflows and computer use models (leveraging Gemini,</li></ul>
Claude, OpenAI) alongside browser automation tools to automate multi-step tasks, 
partnering with senior team members on more complex or ambiguous workflows. 
<ul><li> Develop custom agentic actions and integrate them with enterprise platforms using</li></ul>
Model Context Protocol (MCP) servers and APIs, following established patterns and 
best practices. 
<ul><li> Develop and troubleshoot Python scripts.</li><li> Monitor and maintain workflow integrations, agents, and automations, identifying</li></ul>
issues and proposing improvements within your area of responsibility. 
Your team will: 
<ul><li> Collaborate on designing and implementing AI and automation solutions.</li><li> Support each other in the ideation and creation of technical designs.</li></ul></div></div><div></div><div><ul><li> Ensure the seamless integration and maintenance of automation tools and</li></ul>
workflows. 
<ul><li> Work closely with other departments to understand and fulfill automation needs.</li></ul>
<div>
About you: 
<ul><li> Strong hands-on experience working with APIs and integrations.</li><li> Proficient in Python.</li><li> Experience contributing to the technical design of automation and AI solutions and</li></ul>
presenting them to stakeholders across different departments (HR, Legal, Sales, Eng). 
<ul><li> Strong understanding of modern LLMs (Gemini, Claude, OpenAI) and hands-on</li></ul>
experience with prompt engineering and agentic design patterns. 
<ul><li> Ability to support other team members in design ideation, creation, implementation,</li></ul>
and peer reviews. 
<ul><li> Excellent communication and collaboration skills.</li><li> Strong problem-solving mindset, attention to detail, and a passion for driving internal</li></ul>
productivity. 
<ul><li> Typically 3&ndash;5+ years of related experience in software engineering, data engineering,</li></ul>
or automation/AI engineering (or equivalent practical experience). 
</div><div>
Preferred Skills: 
<ul><li> Familiarity with iPaaS tools like Workato, Okta Workflows, and Zapier.</li><li> Deep experience or strong interest in cross-department AI development, including</li></ul>
working with MCP servers, APIs and agentic frameworks. 
<ul><li> Understanding of data pipelines (e.g., BigQuery).</li><li> Exposure to cloud infrastructure such as GCP or AWS.</li></ul>
</div><div>
Benefits: 
<ul><li> People: Work with talented, collaborative, and friendly people who love what they do.</li><li> Location: India - work in the heart of the Hyderabad office.</li></ul>
</div><div>
More about us: 
LiveRampers are empowered to live our values of committing to shared goals and 
operational excellence. Connecting LiveRampers to new ideas and to one another is one of 
our guiding principles&mdash;one that informs how we hire, train, and grow our global teams 
across nine countries and four continents. By continually building inclusive, high belonging 
teams, LiveRampers can deliver exceptional work, champion innovative ideas, and be their 
best selves. Click here to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at 
LiveRamp.</div></div><div></div>
<h2 class="jobSectionHeader">Benefits:</h2><ul><li>
Flexible paid time off, paid holidays, options for working from home, and paid parental leave.</li><li>
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, accident, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth, and more. Your medical benefits extend to your dependents including parents.
</li></ul><h2 class="jobSectionHeader">More about us:</h2><h2 class="jobSectionHeader">
LiveRamp&rsquo;s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles&mdash;one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.
</h2>We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates. 
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.</div>

AI Automation Engineer

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 Responsibilities Cross-Disciplinary Automation
 
 ~
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction~ Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling~
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI & Automation Engineer, LIGHT

<div>Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Responsibilities Cross-Disciplinary Automation : Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
Physics-Informed Modeling : Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
AI-Enhanced System Engineering : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
Predictive Project Management : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
Standards &amp; Compliance: Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
Toolchain Integration : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
<div>Key competencies Technical Skills
 
 
AI and Machine Learning
 
* Generative AI &amp; LLMs
 
<ul><li>Predictive Modeling
</li><li>Computer Vision
</li></ul> 
Data Engineering and Management
 
* Data Pipeline Construction: Automating the flow of data into AI models.
 
<ul><li>Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from &quot;noise.&quot;
</li></ul> 
Process Automation &amp; Integration (MLOps)
 
* Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 
<ul><li>Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
</li></ul> 
Programming &amp; Scripting:
 
* Python
 
<ul><li>Javascript / Google Apps Script
</li><li>Google Docs / Sheets functions &amp; automation
</li><li>HTTP rest API's
</li></ul> 
Tooling &amp; ALM: ( Plus Knowledge)
 
* Codebeamer (Requirement Management Tool)
 
<ul><li>Google Cloud Platform
</li></ul> 
Automation &amp; Integration concepts
 
* AI &amp; Data Handling:
 
<ul><li>Basic to intermediate experience with AI tools, APIs, or AI agents
</li><li>Interest in applying AI to engineering processes 
</li></ul> 
 
Soft Skills
 
* Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 
<ul><li>Ability to work autonomously and proactively
</li><li>Analytical mindset with strong problem-solving skills
</li><li>User-oriented mindset (training, support, feedback handling)
</li><li>Time Managment
</li></ul></div>Nice to Have
 
 
Experience with requirement traceability or compliance activities
 
 
Exposure to AI-assisted automation or low-code/no-code platforms
 
 
Physics-Informed Machine Learning (PIML)
 
 
Predictive Project Analytics
 
 
Understanding of system engineering lifecycle and deliverables
 
 
Aware about Automotive industry and embedded systems.
Years of Experience 2 to 3 years experience in AI &amp; tools development
Job:
AI4all, Engineering Disciplines
Organization:
GTSC Software
Schedule:
Full time
Employee Status:
Regular
Job Type:
Job Posting Date:
2026-04-07
<div>Join Us !
 
Being part of our team, you will join:
 
<ul><li>one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
</li><li>a multi-cultural environment that values diversity and international collaboration
</li><li>more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
</li><li>a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
</li></ul> 
More information on Valeo: https://www.valeo.com</div></div>

Sysinn 

We are looking for a mid-level AI Automation &amp; Agent Engineer with 1&ndash;2 years of experience in AI workflows, automation, and integrations. The ideal candidate should be able to build and manage AI-driven systems that automate business operations, SEO workflows, reporting, lead generation, and internal processes.Key Responsibilities<ul><li>Build and manage AI agents and automation workflows</li><li>Automate daily operational, reporting, and marketing tasks</li><li>Develop AI workflows for:</li><li>- IT and digital marketing related tasks</li><li>- Lead generation &amp; outreach</li><li>- Monitoring &amp; reporting</li><li>- Employee performance tracking</li><li>- Task and workflow management</li><li>Integrate AI tools with CRMs, websites, spreadsheets, APIs, and databases</li><li>Create automated dashboards and reporting systems</li><li>Monitor and optimize AI agent performance</li><li>Research and implement new AI tools and automation technologies</li></ul>Requirements<ul><li>1&ndash;2 years of experience in AI automation or workflow automation</li><li>Experience with AI agents, ChatGPT/OpenAI APIs, Claude, Gemini, or similar AI platforms</li><li>Familiarity with tools like n8n, Make.com, Zapier, Airtable, Notion, Clawbot, and similar automation platforms</li><li>Basic programming/scripting knowledge (Python or JavaScript is a plus)</li><li>Understanding of APIs, webhooks, and integrations</li><li>Knowledge of SEO workflows, reporting systems, or business automation</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Skills<ul><li>Experience with CrewAI, LangChain, AutoGen, MCP, or similar agent frameworks</li><li>Experience with vector databases, RAG systems, or AI memory systems</li><li>Familiarity with cloud/VPS deployment and automation servers</li><li>Experience working in digital marketing, SEO, SaaS, or agency environments</li></ul>Work Location: Remote

AI Automation & Agent Engineer

NiCE

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div><h2 class="jobSectionHeader">
Overview</h2>

We&rsquo;re looking for an AI Engineer with strong expertise in Voice, Network, and Compute infrastructure automation. You will design and deploy AI‑driven automation that improves reliability, performance, and operational efficiency across large‑scale systems. This role emphasizes agent‑based automation, MCP‑style service frameworks, and reusable Skills that enable intelligent workflows across infrastructure platforms.
<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2>
<ul><li>Build AI/ML‑powered automation for Voice, Network, and Compute platforms.</li>
<li>Design and deploy Model Context Protocol (MCP)&ndash;style servers or similar agent service layers that expose infrastructure capabilities as secure, reusable AI‑callable actions.</li>
<li>Develop Skills and tools for workflow automation, enabling LLM‑driven agents to execute operational tasks, diagnostics, and remediation safely and deterministically.</li>
<li>Create intelligent systems for anomaly detection, forecasting, root cause analysis, and self‑healing.</li>
<li>Integrate automation with SBCs, SIP systems, routers/switches, load balancers (F5, Palo Alto, Arista), VMware, Kubernetes, and cloud compute platforms.</li>
<li>Build APIs, Skills, and agent workflows that connect with observability, CMDB, and ticketing platforms (Grafana, Prometheus, ServiceNow, etc.).</li>
<li>Implement Infrastructure‑as‑Code using Terraform, Ansible, or similar tools.</li>
<li>Partner with operations teams to eliminate manual work, improve uptime, and accelerate incident response.</li>
<li>Define guardrails, permissions, and validation layers to ensure AI‑driven automation operates safely in production environments.</li>
</ul><h2 class="jobSectionHeader">What You Bring</h2>
<ul><li>5+ years of experience in AI/ML engineering, automation engineering, or infrastructure engineering.</li>
<li>Strong Python development skills, including API and service development.</li>
<li>Hands‑on experience with:
<ul><li>Voice: SIP, SBCs, call flows</li>
<li>Network: routing/switching, F5, Palo Alto, Arista</li>
<li>Compute: VMware, Kubernetes, and cloud platforms</li>
</ul></li><li>Experience building or operating MCP‑like services, agent backends, or tool‑calling frameworks that allow LLMs to interact with real systems.</li>
<li>Proven ability to create modular Skills or tools for workflow automation and agent execution.</li>
<li>Experience with ML frameworks and LLM orchestration tools.</li>
<li>Solid understanding of CI/CD, GitOps, containers, and orchestration.</li>
</ul><h2 class="jobSectionHeader">Bonus Skills</h2>
<ul><li>Cloud‑native automation experience (AWS Lambda, Azure Functions, GCP Cloud Functions).</li>
<li>Knowledge of Kafka or other event/streaming frameworks.</li>
<li>Experience with policy engines, RBAC, and safety controls for AI automation.</li>
<li>Networking, cloud, or automation certifications.</li>
</ul><h2 class="jobSectionHeader">Why This Role Matters</h2>

You will help build the next generation of intelligent, self‑driving infrastructure, where AI agents, MCP‑style services, and reusable Skills replace fragile scripts and manual runbooks. Your work will reduce toil, improve system reliability, and enable teams to operate infrastructure at scale with speed, safety, and resilience.</div><div>
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

AI Automation Infrastructure Engineer

Arch Telecom

<div>We&rsquo;re a national Wireless Preferred Retailer for the #1 Mobile provider in the country, with 200+ retail stores across the U.S. Since &lsquo;93, we&rsquo;ve been providing superior service and quality wireless products featuring the latest in technology. As a recognized leader in the wireless retail industry, we consistently deliver the solutions and service our customer&rsquo;s demand!
We are looking for a motivated and innovative AI Engineer with 4 yrs of full-time experience in Machine Learning and AI Automation to join our growing team at Arch Telecom. This role is ideal for someone passionate about building intelligent systems, working with data, and applying machine learning or AI solutions to real-world business problems.
Key Responsibilities<ul><li>
Develop, test, and deploy AI/ML models to support business initiatives</li><li>
Work with structured and unstructured data to build predictive and analytical solutions</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems</li><li>
Assist in designing and implementing NLP, computer vision, or automation solutions (as applicable)</li><li>
Optimize model performance and ensure scalability</li><li>
Stay up to date with emerging AI technologies and best practices</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or related field</li><li>
4+ years of hands-on experience in AI/ML development</li><li>
Proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>
Experience with data processing tools (Pandas, NumPy, etc.)</li><li>
Basic understanding of machine learning algorithms and model evaluation techniques</li><li>
Familiarity with APIs and integrating AI models into applications</li></ul>
Preferred Qualifications<ul><li>
Experience with NLP, LLMs, or generative AI tools</li><li>
Exposure to cloud platforms (AWS, Azure, or GCP)</li><li>
Knowledge of SQL and database systems</li><li>
Experience with version control (Git) and MLOps practices</li></ul>
Apply Now: www.archtelecom.net
Inquiries: Recruiting@archtelecom.net
IND2</div>

AI Engineer

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