dev ops engineer

NextDeavor

<div>
 <p>
  <strong>
   You&rsquo;ll be joining Adobe on a contract opportunity, employed through NextDeavor.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits You&rsquo;ll Love
  </strong>
 </p>
 <ul>
  <li>
   NextDeavor offers health, vision and dental benefits for contract employees
  </li>
  <li>
   Paid sick leave eligibility is contingent on state of residence
  </li>
  <li>
   Optional 401k Plan (excludes employer match)
  </li>
  <li>
   Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Become a Key Player as a Dev-Ops Engineer
  </strong>
 </p>
 <p>
  As a Dev-Ops Engineer, you will troubleshoot and stabilize Adobe Campaign environments for some of Adobe&rsquo;s most technically complex, large-scale customers. You&rsquo;ll partner with Customer Care, internal escalation teams, Product Management, and Engineering to drive solutions from inception through deployment and refinement. Work model: Onsite in Lehi, UT. Contract: staffing coverage for an FTE leave from 01/12/2026 to 05/08/2026; 40 hours/week.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Here&rsquo;s How You&rsquo;ll Make an Impact on the Team
  </strong>
 </p>
 <ul>
  <li>
   Provide deep technical troubleshooting for escalated customer issues in Adobe Campaign SaaS environments.
  </li>
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   Use monitoring/reporting tools to analyze root causes of impactful incidents and implement stable, sustainable fixes.
  </li>
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   Collaborate with Customer Care, escalation teams, Product Management, and Engineering to drive tasks to completion.
  </li>
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   Improve operational readiness across the lifecycle: design, deployment, operations, and continuous refinement.
  </li>
  <li>
   Develop tools and automation for self-service config changes, faster deployments, and improved monitoring.
  </li>
  <li>
   Ensure proper monitoring and metrics are built into applications before production.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Here&rsquo;s What You&rsquo;ll Need to Be Successful in This Role
  </strong>
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 <ul>
  <li>
   Full-stack troubleshooting experience across networking, Linux OS (Debian, CentOS), Apache, HAProxy, Nginx, and RDBMS.
  </li>
  <li>
   Hands-on experience with Splunk, New Relic, and/or Nagios for troubleshooting and observability.
  </li>
  <li>
   Cloud experience with AWS and/or Azure: networking (VPCs, security groups), VMs (EC2), databases (RDS), and load balancing (ELB/ALB).
  </li>
  <li>
   Proficiency developing in Python, Java, or Go.
  </li>
  <li>
   Strong understanding of CI/CD methodologies.
  </li>
  <li>
   Excellent information management practices (documentation, wikis, collaboration tools).
  </li>
  <li>
   Ability to scope projects, estimate effort, and break work into actionable sub-tasks.
  </li>
  <li>
   Excellent written and verbal communication skills for technical and non-technical audiences.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Software Engineering, or related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
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  <strong>
   Pay Range
  </strong>
 </p>
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  $48.12 - $60.15/hour
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 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ready to Make Your Mark?
  </strong>
 </p>
 <p>
  This role may fill quickly. Submit your resume to be considered.
 </p>
</div>


Dev-Ops Engineer

Visionary Tech Services LLC

<div><p>We are seeking a highly skilled DevOps Engineer with 3-5 years of experience in designing, implementing, and managing scalable, secure, and automated infrastructure solutions with a strong focus on Microsoft Azure. This role involves building robust CI/CD pipelines, managing Azure subscriptions and migrations, adhering to Azure Well-Architected Framework principles, and ensuring top-tier security practices. The ideal candidate combines deep Azure expertise with hands-on infrastructure automation and continuous delivery skills to deliver reliable, high-performance solutions. The DevOps Engineer will collaborate with development teams, QA engineers, and product managers to deliver secure, scalable, and efficient Azure-based solutions while optimizing operational processes and minimizing deployment risks.</p><p></p><ul>
<li>
Fully automated, secure, and scalable CI/CD pipelines integrated with Azure DevOps and other tools.</li>
<li>Optimized Azure infrastructure, including subscriptions, resources, and cost management, adhering to the Azure Well-Architected Framework.</li>
<li>Successfully executed Azure migration plans with minimal downtime and comprehensive documentation.</li>
<li>Robust Azure monitoring, logging, and alerting systems for proactive issue detection and resolution.</li>
<li>Secure Azure environments with implemented IAM, encryption, and compliance controls.</li>
<li>Disaster recovery and backup procedures for Azure workloads, tested and documented.</li>
<li>Comprehensive technical documentation, including Azure architecture diagrams, migration strategies, deployment workflows, and security configurations.</li>
</ul><p></p><p>
Key Duties and responsibilities:</p><ul><li>
Recommendations for continuous improvement of Azure infrastructure, automation, and operational processes.</li><li>
Design, implement, and maintain CI/CD pipelines for web, mobile, and backend applications using Azure DevOps and other relevant tools.</li><li>
Manage and optimize Azure cloud infrastructure, including subscription management, resource provisioning, and cost optimization, ensuring scalability and high availability.</li><li>
Lead Azure migration projects, including planning, execution, and optimization of workloads moving to Azure.</li><li>
Implement Azure Well-Architected Framework principles to ensure reliability, performance, cost efficiency, operational excellence, and security.</li><li>
Automate infrastructure provisioning and configuration management using tools like Terraform, Azure Resource Manager (ARM) templates, or Ansible.</li><li>
Monitor Azure infrastructure and application performance using Azure Monitor, Application Insights, and Log Analytics, troubleshooting and optimizing reliability.</li><li>
Implement and enforce Azure security best practices, including identity and access management (IAM), Azure Key Vault, network security, and compliance with standards like SOC2, ISO27001, or GDPR.</li><li>
Collaborate with developers, QA engineers, and product teams to integrate DevOps practices into the software development lifecycle.</li><li>
Ensure Azure-based backup, disaster recovery, and business continuity strategies are implemented and tested.</li><li>
Document Azure infrastructure architecture, migration processes, deployment workflows, and security configurations.</li></ul><p></p><p>
Stay updated on Azure services, DevOps tools, and best practices to drive continuous improvement.</p><p>
</p><p><b>Requirements</b></p><ul><li>
3-5 years of experience in DevOps or infrastructure engineering, with a proven track record in Azure-based projects.</li><li>
Expert-level proficiency in Microsoft Azure, including subscription management, resource optimization, and Azure Well-Architected Framework.</li><li>
Hands-on experience with Azure migration tools and strategies (e.g., Azure Migrate, Azure Site Recovery) for cloud and hybrid environments.</li><li>
Strong expertise in CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.</li><li>
Proficiency in infrastructure as code (IaC) using Terraform, ARM templates, or Ansible for Azure environments.</li><li>
Deep knowledge of Azure security practices, including Azure Active Directory, role-based access control (RBAC), network security groups (NSGs), and secrets management.</li><li>
Experience with containerization and orchestration tools (Docker, Azure Kubernetes Service [AKS]).</li><li>
Familiarity with Azure monitoring and logging tools (Azure Monitor, Application Insights, Log Analytics).</li><li>
Strong understanding of version control systems (Git) and agile methodologies.</li><li>
Excellent problem-solving, automation, and troubleshooting skills in Azure environments.</li><li>
Strong communication skills and ability to collaborate with cross-functional teams and clients.</li></ul><p></p><p>
Bachelor's or master's degree in computer science, Information Technology, or related field.</p></div>

Dev Ops Engineer

Charles River Laboratories

<div><p>At Charles River, we are passionate about improving the quality of people&rsquo;s lives. When you join our global family, you will help create healthier lives for millions of patients and their families.</p><p>
Charles River employees are innovative thinkers, who are dedicated to continuous learning and improvement. We will empower you with the resources you need to grow and develop in your career.</p><p>
As a Charles River employee, you will be part of an industry-leading, customer-focused company at the forefront of drug development. Your skills will play a key role in bringing life-saving therapies to market faster through simpler, quicker, and more digitalized processes. Whether you are in lab operations, finance, IT, sales, or another area, when you work at Charles River, you will be the difference every day for patients across the globe.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Summary</b></h2>
</div><div><p>
At Charles River Laboratories, we&rsquo;re transforming how we work by harnessing the power of AI, data, and digital innovation to accelerate the discovery and development of life-saving therapies. Our vision is to embed artificial intelligence and advanced analytics across every stage of our scientific and operational workflows&mdash;empowering our teams with smarter tools, seamless data, and actionable insights to deliver client-centric services and solutions that better serve our customers and, ultimately, improve patients&rsquo; lives.</p><p></p><p><br>
If you're a <b>Senior Data &amp; DevOps Engineer</b> who thrives at the intersection of cloud infrastructure, data engineering, and AI innovation, this is your opportunity to make a significant impact. In this role, you&rsquo;ll serve as a trusted advisor and hands-on expert, partnering across business units and IT to architect and optimize our Azure-based enterprise data platform. You&rsquo;ll mentor engineering teams, champion best practices, and drive automation and scalability through modern DevOps and data engineering tools. We&rsquo;re looking for someone who brings deep expertise in the Microsoft Azure data ecosystem, a passion for building resilient, future-ready platforms, and a desire to shape the next generation of data and AI capabilities at Charles River. If you&rsquo;re energized by solving complex challenges, influencing architectural decisions, and enabling transformative analytics, we&rsquo;d love to connect with you.</p><p></p><p><br>
Basic Qualifications:</p><ul><li>Strong and extensive hands on Experience with Azure cloud big data architecture</li><li>Good understanding of Microsoft Azure security, privacy, and compliance.</li><li>Implement best practices for Azure services authentication using service principals and managed identities.</li><li>Familiarity with Azure resources service level agreements (SLA), and pricing for planning and cost management.</li><li>Configure and manage Azure virtual network, define Inbound and outbound rules.</li><li>Manage source control with GitHub best practices and define standards for the pull request (PR) process.</li><li>Define and manage a release workflow to update latest code to the corresponding environments.</li><li>Build continuous integration (CI) pipelines with GitHub actions.</li><li>Experience with Azure Data Lake, Azure SQL Data Warehouse, Data Catalog, Eventhub, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, Virtual Network, Azure App Service</li><li>Experience with Big Data Technology Stack: Hadoop/Spark/Hive/MapR</li><li>Experience designing and building cloud native applications as well as Azure Cloud migration experience.</li><li>Experience with Azure IaaS and PaaS services.</li><li>Project experience using Azure cloud, data lake storage, installation, security and infrastructure (IaaS) set up</li><li>Experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, avro, parquet, copybook, etc.)</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Qualifications</b></h2></div><p></p><div><ul><li><br>
Bachelor&rsquo;s degree in Computer Engineering, Computer Science or related discipline, Master&rsquo;s Degree preferred</li><li>4+ years of Microsoft Azure experience or equivalent with AWS or GPC.</li><li>3+ years of experience implementing automated deployments with GitHub integration and CI/CD pipelines.</li><li>5+ years of experience in defining GitHub branching strategy for Dev, TEST, PROD, and Hotfix deployments.</li><li>2+ years of experience automating infrastructure as code using Terraform templates.</li><li>5+ years of experience in scripting with bash, PowerShell, and Azure CLI.</li><li>3+ years of experience supporting Azure resources by monitoring diagnostics logs and alerts.</li><li>2+ years of experience in defining security strategy for Azure resources with networking and firewall rules.</li><li>2+ years of experience in defining and managing access control strategy for Azure resources.</li><li>Understand different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.)</li><li>6+ years of experience working with SQL.</li><li>Experience in ETL design, development, and performance tuning in general.</li><li>3+ years&rsquo; experience managing offshore teams</li><li>Experience managing and governing cloud costs for a data team</li><li>Experience working without other public cloud technologies AWS, GCP</li><li>Experience with setting up and operating data pipelines using Python or SQL</li><li>Experience working with relational databases</li><li>Strong analytical problem-solving ability</li><li>Great presentation skills</li><li>Great written and verbal communication skills</li><li>Self-starter with the ability to work independently or as part of a project team</li><li>Capability to conduct performance analysis, troubleshooting and remediation</li><li>Excellent verbal and written communication skills</li><li>Ability to manage multiple efforts concurrently</li><li>Strong problem-solving skills</li><li>Strong knowledge of emerging technologies and tools</li><li>Strong organizational and time management skills</li><li>Effective collaboration of tasks across the business and technical teams</li><li>Able to work quickly and under tight delivery deadlines with focus on details</li><li>Interface with key customers from all functional areas - Analytic skills are needed</li><li>Proven and recent experience of implementing solutions from requirements gathering and process design to functional production deployment</li><li>Demonstrated ability to produce high quality deliverables</li></ul></div></div></div><p><b>
About Corporate Functions</b><br>
The Corporate Functions provide operational support across Charles River in areas such as Human Resources, Finance, IT, Legal, Sales, Quality Assurance, Marketing, and Corporate Development. They partner with their colleagues across the company to develop and drive strategies and to set global standards. The functions are essential to providing a bridge between strategic vision and operational readiness, to ensure ongoing functional innovation and capability improvement.</p><p><b><br>
About Charles River</b><br>
Charles River is an early-stage contract research organization (CRO). We have built upon our foundation of laboratory animal medicine and science to develop a diverse portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non-GLP, to support clients from target identification through preclinical development. Charles River also provides a suite of products and services to support our clients&rsquo; clinical laboratory testing needs and manufacturing activities. Utilizing this broad portfolio of products and services enables our clients to create a more flexible drug development model, which reduces their costs, enhances their productivity and effectiveness to increase speed to market.</p><p><br>
With over 20,000 employees within 110 facilities in over 20 countries around the globe, we are strategically positioned to coordinate worldwide resources and apply multidisciplinary perspectives in resolving our client&rsquo;s unique challenges. Our client base includes global pharmaceutical companies, biotechnology companies, government agencies and hospitals and academic institutions around the world.</p><p><br>
At Charles River, we are passionate about our role in improving the quality of people&rsquo;s lives. Our mission, our excellent science and our strong sense of purpose guide us in all that we do, and we approach each day with the knowledge that our work helps to improve the health and well-being of many across the globe. We have proudly worked on 80% of the drugs approved by the U.S. Food and Drug Administration (FDA) in the past five years.</p><p></p><p><br>
We&rsquo;re committed to providing benefits that elevate your quality of life. Based on your position these may include: bonus/incentives based on performance, 401K, paid time off, stock purchase program, Health and wellness coverage, employee and family wellbeing support programs, and work life balance flexibility.</p><p><b><br>
Equal Employment Opportunity</b></p><p>
Charles River is an equal opportunity employer and is committed to providing equal employment opportunities for all qualified applicants and employees without regard to race, color, sex, religion, national origin, ancestry, age, mental or physical disability, family status, pregnancy, military or veteran status, or any other characteristic protected by federal, state, or local laws.</p><p>
It is unlawful in some states (including Massachusetts) to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br>
<br>
If you are interested in applying to Charles River Laboratories and need special assistance or an accommodation due to a disability to complete any forms or to otherwise participate in the resume submission process, please contact a member of our Human Resources team by sending an e-mail message to crrecruitment_US@crl.com. This contact is for accommodation requests for individuals with disabilities only and cannot be used to inquire about the status of applications.</p><p></p><p><br>
For more information, please visit www.criver.com.</p><div>
231089</div></div>

Senior Data & Dev Ops Engineer (REMOTE)

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are hiring an ML Ops Engineer to operationalize machine learning solutions across Digital Oilfield (DOF) platforms. This is a critical role ensuring that models move from development to robust, production-grade deployment with high availability, traceability, and security.<br>
The ideal candidate will be responsible for automating pipelines, managing model versions, integrating APIs, and monitoring ML system health across diverse operational environments. Oil &amp; gas exposure is beneficial but not required; this is a technical engineering role with high ownership and cross-team collaboration.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Develop and maintain ML pipelines for data preprocessing, training, validation, deployment, and monitoring.
</p></div><div><p>Implement model governance strategies&mdash;versioning, rollback, audit trails, and explainability.
</p></div><div><p>Set up containerized environments and scalable inference systems (e.g., using Docker, Kubernetes).
</p></div><div><p>Collaborate with software, IT, and data teams to ensure model integration and compliance.
</p></div><div><p>Support continuous improvement of ML lifecycle management practices and tooling.
</p></div><div><p>business trip to Kuwait
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong software engineering background with ML Ops or DevOps exposure
</p></div><div><p>Hands-on experience with MLflow, Azure ML, Kubeflow, or equivalent.
</p></div><div><p>Proficiency in CI/CD workflows and scripting for automation.
</p></div><div><p>Familiarity with model monitoring, drift detection, and alerting frameworks.
</p></div><div><p>Experience deploying Python-based ML models in production.
</p></div></div><p>Nice to have
</p><div><div><p>Understanding of Digital Oilfield environments or OT/IT integration.
</p></div><div><p>Familiarity with cloud-native services&mdash;Azure is preferred.
</p></div><div><p>Exposure to real-time data streaming (e.g., Kafka, IoT platforms).
</p></div><div><p>Understanding of security, compliance, and data access protocols in enterprise environments.
</p></div><div><p>Certifications:
</p></div><div><p>Azure DevOps or Azure AI Engineer certification is a plus.
</p></div><div><p>AWS DevOps Engineer certification is nice to have but not required
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118737
</p></div><div></div><div><div><p>DevOps
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>05/11/2025
</p></div><div><p>Req. VR-118737</p></div></div></div><p></p>

ML Ops Engineer

ARVO - Punjab Group

<p>Role Summary:</p><p>The DevOps Engineer is responsible for automating, scaling, and maintaining the infrastructure supporting ARVO&rsquo;s microservices ecosystem. The role ensures continuous integration and deployment across on-prem and cloud environments, optimizing performance, security, and reliability. The engineer works closely with backend, QA, and infrastructure teams to streamline development pipelines, manage containerized workloads, and implement robust monitoring and alerting systems using modern DevOps tools and practices.</p><p>Key Responsibilities and Duties</p><p>1. Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI.</p><p>2. Manage and orchestrate containerized applications using Docker and Kubernetes.</p><p>3. Monitor system performance using ELK Stack, Prometheus, Grafana, Loki.</p><p>4. Manage secure network configurations, firewalls, ingress rules, and SSL certificates.</p><p>5. Implement automated backups, failover strategies, and disaster recovery plans.</p><p>6. Collaborate with development teams to ensure smooth deployment and rollback processes.</p><p>7. Maintain log management, metrics collection, and alerting mechanisms for proactive issue resolution.</p><p>8. Ensure security compliance, regular updates, and vulnerability scanning for all environments.</p><p>9. Support troubleshooting for production incidents, root cause analysis, and post-mortem documentation.<br/>Qualification / Education / Experience</p><p>I. Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.</p><p>II. Minimum 2&ndash;3 years of experience in DevOps</p><p>III. Hands-on experience with Docker, Kubernetes, Jenkins, Git, and Ubuntu servers.</p><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs150,000.00 per month</p><p>Experience:</p><ul><li>HR ops: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

DevOps Engineer

B&B Hotel Hannover-City

<p><b>Job Brief:</b></p><p><b>Are you the ML Ops authority</b> responsible for turning proof-of-concept models into <b>robust, production-grade, highly available solutions</b>? Do you have a passion for CI/CD, pipeline automation, and model traceability?</p><ul><li><b>If you are the engineer</b> who can develop and maintain <b>end-to-end ML pipelines</b> (preprocessing, training, deployment, and monitoring) with high standards for reliability...</li><li><b>If you are the master</b> of tools like Kubernetes, cloud platforms (Azure/AWS), and modern ML Ops frameworks...</li></ul><p><b>Then secure your spot</b> in this critical role ensuring our client&rsquo;s ML solutions deliver continuous, reliable value.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and implement scalable ML pipelines for digital oilfield data processing and automation.</li><li>Develop and maintain CI/CD frameworks for model training, validation, and deployment.</li><li>Collaborate with data scientists and domain experts to ensure reliable, production-grade model operations.</li><li>Manage and monitor ML models using tools such as MLflow, Kubeflow, or Airflow.</li><li>Implement best practices for data versioning, containerization (Docker), and orchestration (Kubernetes).</li><li>Ensure compliance with data governance, security, and performance standards.</li><li>Drive automation and performance optimization across the entire ML lifecycle.</li></ul><p><b>Required Qualification / Experience / Skills:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.</li><li>Minimum 10 years of experience in ML Ops or data engineering, preferably within the oil &amp; gas sector.</li><li>Expertise in Python, Linux, Docker, and Kubernetes.</li><li>Strong understanding of CI/CD tools (GitLab CI, Jenkins) and cloud environments (AWS, Azure).</li><li>Proven experience deploying ML models in production for real-time analytics.</li><li>Familiarity with time-series data, IoT systems, and SCADA integration.</li><li>Excellent communication, documentation, and troubleshooting skills.</li></ul><p><b>Job Location: Remote</b></p><p><b>Type of Employment: Permanent / Full time</b></p><p><b>Salary: Negotiable (based on experience)</b></p><p><b>What you can expect from the employer:</b></p><ul><li>Competitive compensation based on experience.</li><li>Exposure to digital transformation projects in the energy industry.</li><li>Remote work flexibility and supportive work environment.</li><li>Continuous learning and career advancement opportunities.</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Do you have experience in ML Ops frameworks and deployment pipelines?</li><li>Have you worked in digital oilfield or industrial automation environments?</li><li>Are you experienced with Docker, Kubernetes, and cloud-based ML systems?</li><li>Do you have 10 years of relevant experience in ML Ops or related fields?</li></ul>

ML Ops Engineer – Digital Oilfield

Unify CX

<div>Job Title: ML Ops Engineer<br>
Location: Remote<br>
Department: Engineering<br>
Job Type: Full-time<br>
<br>
<b>Who We Are:</b><br>
unifyCX is an emerging Global Business Process Outsourcing company with a strong presence in the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines. We provide personalized contact centers, business processing, and technology outsourcing solutions to clients worldwide. In nearly two decades, unifyCX has grown from a small team to a global organization with staff members all over the world dedicated to supporting our international clientele.<br>
<br>
UnifyCX is a transformative AI platform that empowers and enables teams to deliver efficient, exceptional customer experiences. We engineer superhuman customer experiences through a powerful blend of strategy, omnichannel support, analytics, and AI-driven tools like GoTalent.AI, Voice of Customer, and automatic QA. Our outcome-based model prioritizes measurable results for more than 200 client programs serviced today. With a focus on automation, talent enablement, strategic partnerships, and strict data ethics, UnifyCX delivers scalable, personalized, and compliant solutions that create real business impact.<br>
<br>
At unifyCX, we leverage advanced AI technologies to elevate the customer experience (CX) and drive operational efficiency for our clients. Our commitment to innovation positions us as a trusted partner, enabling businesses across industries to meet the evolving demands of a global market with agility and precision. unifyCX is a certified minority-owned business and an EOE employer who welcomes diversity.<br>
<br>
<b>First Key Projects:</b><br>
Develop the infrastructure needed for ML workloads, including cloud services, containerization, and orchestration tools.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Model Deployment &amp; Monitoring: Design, implement, and manage the deployment pipelines for machine learning models. Monitor model performance and ensure the stability and scalability of production systems.</li><li>Infrastructure Management: Develop and maintain the infrastructure needed for ML workloads, including cloud services, containerization, and orchestration tools.</li><li>Automation: Automate the ML lifecycle processes, including data ingestion, model training, testing, and deployment.</li><li>Collaboration: Work closely with data scientists and engineers to understand model requirements and ensure seamless integration into production systems.</li><li>Version Control: Implement and manage version control systems for ML models, datasets, and code.</li><li>Performance Tuning: Optimize ML models and systems for performance, cost, and efficiency. Troubleshoot and resolve issues that arise in production environments.</li><li>Security &amp; Compliance: Ensure that all ML systems and processes comply with security policies and regulatory requirements.</li><li>Documentation &amp; Reporting: Document processes, best practices, and workflows. Provide regular reports on system performance, issues, and improvements.</li></ul>
<br>
<b>Required Skillsets:</b><br>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>3+ years of experience in ML Ops, DevOps, or Data Engineering.</li><li>Strong proficiency with Python and Linux-based systems.</li><li>Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Proficiency with containerization (Docker) and orchestration (Kubernetes).</li><li>Experience with cloud platforms (AWS Sagemaker, GCP Vertex AI, or Azure ML).</li><li>Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation).</li></ul>
<br>
<b>Preferred Skillsets:</b><br>
<ul><li>Experience with feature stores (Feast, Tecton, etc.).</li><li>Knowledge of data pipelines and orchestration tools (Airflow, Prefect, Dagster).</li><li>Background in MLOps frameworks (MLflow, Kubeflow, BentoML, DVC).</li><li>Experience implementing model monitoring and drift detection.</li><li>Strong understanding of software engineering best practices and agile workflows.</li></ul></div>

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