machine learning operations engineer

Onclusive

<div><p><b>About the Role:</b></p>
<p>
As a Machine Learning Operation Engineer, you will work on deploying, scaling, and optimizing backend algorithms, robust and scalable data ingestion pipelines, machine learning services, and data platforms to support analysis on vast amounts of text and analytics data. You will apply your technical knowledge and Big Data analytics on Onclusive&rsquo;s billions of online content data points to solve challenging marketing problems. ML Ops Engineers are integral to the success of Onclusive.</p>
<p><b>
Your responsibilities:</b></p>
<ul>
<li><p>Design and build scalable machine learning services and data platforms.</p>
</li>
<li><p>Utilize benchmarks, metrics, and monitoring to measure and improve services.</p>
</li>
<li><p>Manage system currently processing data on the order of tens of millions of jobs per day.</p>
</li>
<li><p>Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.</p>
</li>
<li><p>Work with data scientists and machine learning engineers to implement ML, AI, and NLP techniques for article analysis and attribution.</p>
</li>
<li><p>Deploy, manage, and optimize inference services on autoscaling fleets with GPUs and specialized inference hardware.</p><br>
</li>
</ul><p><b>Who you are:</b></p>
<ul>
<li><p>A degree (BS, MS, or Ph.D.) in Computer Science or a related field, accompanied by hands-on experience.</p>
</li>
<li>Minimum 3 years experience of Kubernetes and/or Terraform</li>
<li>
<p>Proficiency in Python, showcasing your understanding of Object-Oriented Programming (OOP) principles.</p>
</li>
<li><p>Solid knowledge of containerisation (Docker preferable)</p>
</li>
<li><p>Experience in Infrastructure as Code (IAC) for AWS, with a preference for Terraform.</p>
</li>
<li><p>Knowledge of Version Control Systems (VCS), particularly Git and GitHub, alongside familiarity with CI/CD, preferably GitHub Actions.</p>
</li>
<li><p>Understanding of release management, embracing rigorous testing, validation, and quality assurance protocols.</p>
</li>
<li><p>Good understanding of ML principles</p>
</li>
<li><p>Data Engineering experience (airflow, dbt, meltano) is highly desired.</p>
</li>
<li><p>Exposure to deep learning tech-stacks like Torch / Tensorflow, and Transformers.</p><br>
</li>
</ul><p><b>What we can offer:</b></p>
<p>
We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and career. In exchange for your contribution, we can offer you:</p>
<ul>
<li><p>Competitive salary and benefits</p>
</li>
<li><p>Hybrid working in a team that is passionate about the work we deliver and supporting the development of those that we work with</p>
</li>
<li><p>A company focus on wellbeing and work life balance including initiative&rsquo;s such as flexible working and mental health support</p>
</li>
</ul><p><b>We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.</b></p></div>

Senior Machine Learning Operations Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
The ML Ops and DevOps Engineer is a specialised technical role focused on bridging the gap between AI development and production-grade operations. You will design, deploy, and manage scalable AI solutions primarily across AWS and Azure environments, integrating Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). By leveraging containerization, automated CI/CD pipelines, and robust data engineering, you will ensure that the Bank&rsquo;s AI-driven applications&mdash;including Generative AI and LLM agents&mdash;are secure, efficient, compliant, and highly available.</p><p></p><p>
Your responsibilities as the MLOps and DevOps Engineer include:</p><ul><li>
Design and deploy scalable AI infrastructure using GitHub Actions, EKS, ECS, and AWS Lambda; automate all resource provisioning via Terraform.</li><li>
Create and manage end-to-end CI/CD pipelines for model deployment, versioning, and lifecycle management using Azure DevOps and GitHub Actions.</li><li>
Deploy machine learning and large language models via Amazon SageMaker, EKS, and Azure ML Endpoints.</li><li>
Implement comprehensive monitoring for model performance and drift using Amazon CloudWatch, SageMaker Model Monitor, and OpenSearch.</li><li>
Integrate advanced services including Azure OpenAI, Azure Cognitive Services, and AWS Rekognition into enterprise workflows.</li><li>
Design robust data pipelines and real-time ingestion streams using AWS Glue, Amazon Redshift, Athena, and Apache Spark.</li><li>
Enforce cloud security through AWS WAF, Azure Key Vault, and RBAC, ensuring all deployments meet GDPR and ISO compliance standards.</li><li>
Supervise team activities and contribute to change initiatives in line with the Bank&rsquo;s continuous improvement standards.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.<br>
</i></p><p><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br>
</i></p><p><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br>
</i></p><p><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.<br>
</i></p><p><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><b><br>
Requirements</b><p><br>
What we need from you:</p><p></p><ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, Mathematics, or a related quantitative field.</li><li>
A minimum of 5 years in designing and deploying AI solutions in cloud environments, specifically within MLOps/LLMOps frameworks.</li><li>
Proficiency with GitHub Actions, Spark, Redshift, MongoDB, and Azure Purview.</li><li>
Deep hands-on expertise in AWS (SageMaker, EKS, S3) and Azure (OpenAI, Cognitive Services) ecosystems.</li><li>
Mastery of Terraform for multi-cloud resource automation.</li><li>
Proven experience in both MLOps (standard ML) and LLMOps (Large Language Models), focusing on fine-tuning, orchestration, and monitoring.</li><li>
Expertise in managing container images via ECR/ACR and deploying via Kubernetes (EKS/AKS).</li><li>
Strong understanding of secure networking (WAF, NSGs) and secret management.</li></ul><p></p><p>
It would be beneficial if you also have:</p><br>
<ul><li>
Azure and/or AWS certifications (e.g., AWS Certified Machine Learning - Specialty or Azure AI Engineer Associate) are highly preferred.</li><li>
Ability to seamlessly manage workloads that span across both AWS and Azure.</li><li>
Skill in communicating complex technical infrastructure requirements to non-technical business stakeholders.</li><li>
Adaptability in troubleshooting model drift and performance bottlenecks in real-time agentic workflows.</li><li>
Proactive identification of new tools (e.g., Vector DBs, orchestration frameworks) to improve deployment velocity.</li></ul><br>
<b>
Benefits</b><p><b><br>
Benefits &amp; Growth Opportunities:</b></p><ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul><p></p><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p><p>
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</p><p>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</p><p>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</p></div><p></p>

ML Ops and DevOps Engineer

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 for first 6-12 months. On-site
</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>Ready for a long term business trip to Kuwait for first 6-12 months
</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>03/03/2026
</p></div><div><p>Req. VR-118737</p></div></div></div><p></p>

ML Ops Engineer (onsite work in Kuwait)

Genpact

<p></p><div><div><div>Genpact (NYSE G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose &ndash; the relentless pursuit of a world that works better for people &ndash; we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.<br>
Inviting applications for the role of Lead consultant - GenAI LLM Ops Engineer, we&rsquo;re looking for an LLM Ops Engineer to build, operate, and scale our Large Language Model platforms and applications. You&rsquo;ll own the end-to-end operational lifecycle&mdash;from model deployment and orchestration to reliability, observability, safety, cost optimization, and performance tuning. You&rsquo;ll partner closely with Data Science, MLOps, Security, and Product teams to deliver robust, compliant, and efficient LLM-powered experiences.<br>
Responsibilities<br>
<ul><li>Architect secure, reusable, and modular infrastructure-as-code (IaC) frameworks for GenAI and LLM operations</li><li>Design, deploy, and maintain LLM serving infrastructure (e.g., Azure OpenAI, self-hosted OSS models, vector databases).</li><li>Implement model orchestration (routing, ensemble strategies, fallbacks, retries, cache layers).</li><li>Build CI/CD pipelines for prompt catalogs, model configurations, guardrails, and evaluation suites.</li><li>Define and track LLM-specific SLOs (latency, response quality, safety violations, hallucination rate).</li><li>Implement telemetry (traces, logs, metrics, prompt/response analytics) and A/B experiments.</li><li>Establish alerting &amp; incident response playbooks.</li><li>Lead the development and standardization of CI/CD pipelines for AI/ML model deployment</li><li>Ensure security, privacy, and regulatory compliance (data residency, consent, auditability).</li><li>Manage prompt governance (versioning, approval workflow, change logs, rollback).</li><li>Define and enforce best practices for model versioning, governance and lifecycle management</li><li>Troubleshoot and resolve issues related to LLM deployment, scaling, and performance</li><li>Stay updated with advancements in MLOps, LLMs, and GenAI technologies</li></ul></div><div></div><div><br>
Qualifications we seek in you!<br>
Minimum Qualifications<br>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proven experience in MLOps, DevOps, or AI/ML infrastructure roles</li><li>Hands-on experience with CI/CD pipelines, containerization, and orchestration tools (e.g., Docker, Kubernetes)</li><li>Proficiency in scripting and programming languages such as Python, Bash, or similar</li><li>Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform, CloudFormation)</li><li>Strong understanding of machine learning model lifecycle management and operationalization</li><li>Knowledge of data privacy, security, and compliance standards in AI/ML environments</li></ul></div><div>
Preferred Qualifications<br>
<ul><li>Master&rsquo;s degree in a relevant field</li><li>Experience with large language models (LLMs) and generative AI frameworks</li><li>Familiarity with monitoring, logging, and observability tools for AI/ML workloads</li><li>Experience collaborating with cross-functional teams in enterprise environments</li><li>Excellent problem-solving, communication, and documentation skills</li><li>Prior experience mentoring or leading technical teams</li></ul>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobLead Consultant</p><p>
Primary LocationIndia-Hyderabad</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 23, 2026, 3:26:24 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Lead consultant - GenAI LLM Ops Engineer

Standard Chartered Bank

<p></p><div><div><div><div><div><div><b>Requisition Number: </b>49252
</div></div></div></div><div><div><div><div><b>Job Location: </b>Bangalore, IND
</div></div></div></div><div><div><div><div><b>Work Type: </b>Office Working
</div></div></div></div><div><div><div><div><b>Employment Type: </b>Permanent
</div></div></div></div><div><div><div><div><b>Posting Start Date: </b>19/02/2026
</div></div></div></div><div><div><div><div><b>Posting End Date: </b>05/03/2026
</div></div></div></div><div><div><div><div><b>:
</b><div><div><div><div><b>Job Summary</b></div>
</div><div><ul><li>we are seeking a highly skilled and experienced senior mlops engineer with expertise in databricks and advanced python development for machine learning applications. The ideal candidate will play a critical role in operationalizing machine learning models, building scalable pipelines, and developing robust python-based solutions to support ml workflows. You will collaborate with data scientists, data engineers, and software developers to deploy, monitor, and optimize machine learning systems in production environments.</li></ul></div></div><div><div><div><b>
Key Responsibilities</b></div>
</div><div><ul><li>10+ years of experience leading a microservice platform engineering solution, automation, SRE.</li><li>Strong belief in working with agile methodology and practices to manage a key middleware of the bank that manages large domain integration solutions.</li><li>Hands-on experience in implementing automated solutions with python, shell scripting, ansibles.</li><li>Hands-on experience in atleast one language choice of Java, JavaScript, Scala, Python.</li><li>Hands-on experience and deep experience in CI/CD tooling such as Azure DevOps, Jenkin, Jira, Ansible.</li><li>Working knowledge of microservice development and deployment architectures in the industry.</li><li>Working knowledge of OIDC, oAuth 2.0, Tokenization framework, MFA, Identity Management, Cryptography.</li><li>Experience in DevOps with exposure to CI/CD tools such as ADO, Git, Ansible is a must.</li><li>Experience with Unix host operating systems, scripting (Bash/Shell or PowerShell) &amp; networking is a must</li><li>Working experience of APM for large service platform with Prometheus, ELK , Graphana. He must also have ability to architect and specify the best practice for implementation within the team.</li><li>Experience with containers as well as container platform such as Podman, Docker and Kubernetes</li><li>Working knowledge of database systems of oracle or Postgre. Especially deployment and maintainability of the code within context of CI/CD.</li><li>Ensuring that all relevant platforms are being efficiently and appropriately supported in SCB Continuous Integration / Continuous Deployment (CI/CD) toolchains, including identifying opportunities for toolchain and operational practise improvement and refinement, and ensuring that &lsquo;infrastructure as code&rsquo; deployment mechanisms are common and portable across Cloud and non-Cloud environments</li><li>Platform estate management including license / support subscription oversight, control and best utilization, automation of estate reporting and management, including close collaboration with other Platforms and ITIL Team team/product leads to ensure that Cloud Support needs are covered in line with Bank strategy and policy</li><li>Supporting adoption of containers and container control frameworks</li><li>Incident Management for issues related to platform, acting as senior escalation and control point for Support (and wider Platforms Teams) and driving service restoration and stability during significant incidents on the platform.</li></ul></div></div><div></div><div><div>
</div><div><div><b>
Strategy</b><br>
<ul><li>Understand the bank&rsquo;s platform technologies and strategy. Meet the automation expectations to enhance the Ci/CD lifecycle, from development to deployment and monitoring.</li></ul><b>
Business</b><br>
<ul><li>Collaborate with application delivery teams to adopt and implement pipeline solutions, enhancing delivery efficiency and operational maturity.</li></ul><b>
Processes</b><br>
<ul><li>Understand the bank&rsquo;s software delivery processes and implement Devops solutions that align with compliance and security requirements.</li></ul><b>
People &amp; Talent</b><br>
<ul><li>Collaborate with diverse engineers in sprint delivery, create technical documentation, prepare training materials, provide technical support, and conduct sessions to onboard and accelerate adoption by application delivery teams.</li></ul><b>
Risk Management</b><br>
<ul><li>Understand bank&rsquo;s risk management framework and embed that into the technology solution being delivered.</li></ul><b>
Governance</b><br>
<ul><li>Understand bank&rsquo;s software delivery &amp; quality assurance framework and assist in solutioning in respective governance activity.</li></ul><b>
Regulatory &amp; Business Conduct</b><br>
<ul><li>Display exemplary conduct and live by the Group&rsquo;s Values and Code of Conduct.</li><li>Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.</li><li>Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.</li></ul><b>
Key stakeholders</b><br>
<ul><li>Delivery Leads</li><li>Engineering Team</li><li>Architect</li></ul></div></div></div><div><div><div><b>
Skills and Experience</b></div>
</div><div><ul><li>CI/CD Tools</li><li>Python</li><li>Openshift/EKS</li><li>Helm Charts</li><li>Unix Shell Scripts</li><li>Azure/AWS</li><li>SQL</li><li>CI/CD Tools</li><li>Networking</li></ul></div></div><div><div><div><b>
Qualifications</b></div>
</div><div><ul><li>Computer Science degree / Computer Post Graduation</li></ul></div></div><div><div><div><b>
About Standard Chartered</b></div>
</div><div><p>
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.</p>
<p>Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.</p>
<p>Together we:</p>
<ul><li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li>
<li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li>
<li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li>
</ul></div></div><div><div><div><b>What we offer</b></div>
</div><div><p><b>
In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p>
<ul><li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li>
<li><b>Time-off</b> including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.</li>
<li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li>
<li><b>Proactive wellbeing support</b> through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits</li>
<li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li>
<li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li></ul></div></div></div></div></div></div></div></div></div><p></p>

Mgr, Development

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 <br/>
 <br/>
 The GenAI Platform Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank's AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.
 <br/>
 <br/>
 As the GenAI Platform Lead, your responsibilities will include:
 <br/>
 <br/>
 <ul>
  <li>
   Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions
  </li>
  <li>
   Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions
  </li>
  <li>
   Leading "Infrastructure as Code" (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency
  </li>
  <li>
   Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy
  </li>
  <li>
   Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing
  </li>
  <li>
   Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools
  </li>
  <li>
   Organizing and supervising team activities, ensuring targets are met in line with ADCB's policies and continuous improvement initiatives
  </li>
  <li>
   Supporting, Coaching and Mentoring more junior members of the team, when required
  </li>
  <li>
   Additional responsibilities on occasion, on management request
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  As an AI consultancy, our greatest asset is the expertise of our people.
  <br/>
  <br/>
 </em>
 <em>
  While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
  <br/>
  <br/>
 </em>
 <em>
  We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
  <br/>
  <br/>
 </em>
 <em>
  You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
  <br/>
  <br/>
 </em>
 <em>
  If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
  <br/>
  <br/>
 </em>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What we need from you:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 5 years in designing and deploying AI/ML solutions on Azure
  </li>
  <li>
   Bachelor's degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field
  </li>
  <li>
   Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred
  </li>
  <li>
   Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance)
  </li>
  <li>
   Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints
  </li>
  <li>
   Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps
  </li>
  <li>
   Advanced expertise in Terraform for automating complex cloud architectures
  </li>
  <li>
   Strong grasp of secure cloud networking and secret management (Azure Key Vault)
  </li>
  <li>
   Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we'd like from you:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios
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   Ability to optimize cloud spend while maintaining high availability and performance
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   Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview
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   Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads
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  Benefits &amp; Growth Opportunities:
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   Competitive salary
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   Visa Sponsorship for the successful individual.
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   Comprehensive health insurance for the successful individual.
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   Professional development and certification support
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   Opportunity to work on cutting-edge AI projects
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   Career advancement opportunities in a rapidly growing AI company
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 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
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 At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
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 Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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 If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.
</div>


GenAI Platform Lead

General Dynamics Mission Systems

<div>Basic Qualifications :
<div><b>
Education Requirements:</b></div><div>
Bachelor&rsquo;s degree in Computer Science, a related field or equivalent experience is required plus a minimum of 8 years of relevant experience; or Master's degree plus 6 years of relevant experience.
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<b>Clearance Requirements:</b><br>
Department of Defense TS/SCI with Polygraph security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.</div><br>
Responsibilities for this Position:
<div>
Put your engineering talent to the ultimate test. At General Dynamics Mission Systems, we create the technologies, products and services that help our service members, intelligence analysts and first responders keep our nation safe. The work we do is so advanced our teams often redefine what&rsquo;s possible for the world. If you want to be a leader with the company that delivers smart solutions for our nation&rsquo;s challenges, this is your opportunity.
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We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers&rsquo; missions in cyber, RF, undersea, interstellar and everything in between.</div><div></div><div><br>
We are seeking a skilled AI DevOps System Administrator to build, manage, and optimize the infrastructure supporting our Artificial Intelligence and Machine Learning initiatives in a classified environment. The ideal candidate will be responsible for maintaining the CI/CD pipeline for ML models, managing GPU resources, and ensuring the stability, scalability, and security of the AI development and deployment environment. This role requires close collaboration with data scientists and ML engineers to streamline workflows from model development to production.</div><div><b>
Key Responsibilities:</b></div><ul><li>
Design, implement, and maintain scalable and robust infrastructure for AI/ML model training and inference.</li><li>
Develop and manage CI/CD pipelines for automated building, testing, and deployment of AI applications and machine learning models.</li><li>
Administer and optimize Linux-based systems and virtualized environments.</li><li>
Manage containerization and orchestration platforms (e.g., Docker, Kubernetes) to deploy and scale ML services.</li><li>
Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools like Ansible or Terraform.</li><li>
Manage and allocate GPU resources efficiently for model training and other high-performance computing tasks.</li><li>
Implement and maintain monitoring, logging, and alerting systems to ensure platform health and performance.</li><li>
Collaborate with development teams to support their infrastructure needs and troubleshoot issues.</li></ul><div><br>
As a seasoned leader, you&rsquo;ll be involved with our client's decision-making process by serving as a front-line interface to users with technical issues and conducting systems analysis and development to keep systems current with changing technologies. Your duties may include installing new software, troubleshooting, granting permissions to applications and training users. You&rsquo;ll also be responsible for the day-to-day support of server services by performing server administration for physical and virtual server operating systems and configuring, maintaining and troubleshooting of physical and virtual hardware and network related interfaces on servers. We&rsquo;ll rely on you to perform, maintain, troubleshoot and conduct a complete analysis of alerts; create scripts to automate repetitive processes; and work with customers to identify, isolate, and resolve problems with servers that are affecting other services.<br>
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<br>
</div><h4 class="jobSectionHeader"><b>What you&rsquo;ll experience:</b></h4><ul><li>
Technologies that aren&rsquo;t just top-notch, they&rsquo;re often top-secret</li><li>
A team of bold thinkers committed to exploring what&rsquo;s next</li><li>
Opportunities to gain new knowledge - as it&rsquo;s discovered</li></ul><h4 class="jobSectionHeader"><b>
What you bring to the table:</b></h4><ul><li>
A Bachelor&rsquo;s degree in Computer Science, a related field or equivalent experience plus a minimum of 8 years of relevant experience; or Master's degree plus 6 years of relevant experience</li><li>
Advanced understanding of server based operating systems</li><li>
Strong Linux/Container/AI Skills</li><li>
Subject matter expert (SME) with the ability to mentor others on administrating the server environment</li><li>
Enhanced troubleshooting skills within the server OS as well as both networking and storage technologies</li><li>
Hands-on experience developing, deploying and supporting large-scale enterprise server solutions</li></ul><h4 class="jobSectionHeader"><b>
What sets you apart:</b></h4><ul><li>
Team player who thrives in collaborative environments and revels in team success</li><li>
Broad understanding of the interrelationships within the IT environment with focus on server and services</li><li>
Senior level knowledge of physical and virtual server support</li><li>
Senior level knowledge of access, permissions and security that gives the clients the access to the data they need to perform their daily activities</li></ul><div></div><div><br>
#CJ3</div>
Salary Note: This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range: USD $126,862.00 - USD $137,269.00 /Yr. Company Overview:
<div>
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!</div><div><br>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div></div>

Dev Ops System Administrator

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