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Yokogawa

<div><div><b>Not just a job, but a career</b></div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div><b>
About the Team</b><br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div><b>
Job Description</b></div><div></div><div>
We are looking for an AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will take part in design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</div><div></div><div><b>
Job Overview</b></div><div></div><div>
You will be part of a Project Delivery team to:</div><ul><li>
Develop dynamic process simulation model to simulate various plant scenarios.</li><li>
Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.</li><li>
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.</li><li>
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.</li><li>
Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.</li><li>
Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.</li></ul><div></div><div><b>
Key Responsibilities</b></div><div></div><div><b>
Technical Leadership &amp; Mentorship</b></div><ul><li>
Develop dynamic process simulation model for various plant scenarios accurately.</li><li>
Analyze data historian, exploratory data analysis and data pre-processing.</li><li>
A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.</li><li>
Advocate best practices in Data analysis, Data pre-processing and machine learning model development.</li></ul><div></div><div><b>
Stakeholder Collaboration &amp; Communication</b></div><ul><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li></ul><div></div><div><b>
Requirements</b></div><ul><li>
Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.</li><li>
6+ years of hands-on experience in AI/ML and process simulations projects execution.</li><li>
Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.</li><li>
Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.</li><li>
Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Strong experience with classical machine learning, deep learning and reinforcement learning projects.</li><li>
Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li></ul><div></div><div><b>
Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)</b></div><div><b>
Programming &amp; Frameworks</b></div><ul><li>
Languages: Proficiency in Python and visual basic coding is essential.</li><li>
ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.</li></ul><div></div><div><b>
Data Engineering &amp; Integration</b></div><ul><li>
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.</li></ul><div></div><div><b>
Personal Attributes (Special personal characteristics/ interpersonal skills)</b></div><ul><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Deeply passionate about transforming emerging technologies into practical, industrial solutions.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
A fast learner with a strong aptitude for collaboration and teamwork.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

AI/ML Engineer

<div><div><b>Not just a job, but a career</b></div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div><b>
About the Team</b><br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div><b>
Job Description</b></div><div>
We are looking for a Senior AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</div><div></div><div><b>
Job Overview</b></div><div></div><div>
You will be part of a Project Delivery team to:</div><ul><li>
Develop dynamic process simulation model to simulate various plant scenarios.</li><li>
Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.</li><li>
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.</li><li>
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.</li><li>
Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.</li><li>
Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.</li></ul><div></div><div><b>
Key Responsibilities</b></div><div></div><div><b>
Technical Leadership &amp; Mentorship</b></div><ul><li>
A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.</li><li>
Lead and mentor a team of process engineers and machine learning engineers.</li><li>
Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately.</li><li>
Advocate best practices in Data analysis, Data pre-processing and machine learning model development.</li></ul><div></div><div><b>
Stakeholder Collaboration &amp; Communication</b></div><ul><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li></ul><div></div><div><b>
Compliance &amp; Risk Management</b></div><ul><li>
Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.</li><li>
Proactively address potential risks related to data privacy, model bias, and operational safety.</li></ul><div></div><div><b>
Requirements</b></div><ul><li>
Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.</li><li>
10+ years of hands-on experience in AI/ML, with at least 4 years in a senior or lead role.</li><li>
Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.</li><li>
Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.</li><li>
Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Strong experience with classical machine learning, deep learning and reinforcement learning projects.</li><li>
Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li><li>
Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.</li><li>
Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li></ul><div></div><div><b>
Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)</b></div><div><b>
Programming &amp; Frameworks</b></div><ul><li>
Languages: Proficiency in Python and visual basic coding is essential.</li><li>
ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.</li></ul><div></div><div><b>
Data Engineering &amp; Integration</b></div><ul><li>
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.</li></ul><div></div><div><b>
Personal Attributes (Special personal characteristics/ interpersonal skills)</b></div><ul><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Deeply passionate about transforming emerging technologies into practical, industrial solutions.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
A fast learner with a strong aptitude for collaboration and teamwork.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

Senior AI/ML Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about Machine Learning, Deep Learning, and Artificial Intelligence? Join AWS as a Generative AI and Machine Learning Specialist Solutions Architect in the MENAT region, where you'll drive cutting-edge AI initiatives and business transformation. As a Subject Matter Expert for designing machine learning solutions, you'll leverage AWS services to automate solutions and reduce costs for customers.
<br>
<br>
You'll partner closely with GenAI/ML specialist sales teams along with field teams to enable large-scale customer use cases and drive adoption of AWS GenAI/ML solutions. Your expertise will shape machine learning architectures, develop technical assets, and create field enablement materials that help other Solutions Architects integrate AWS GenAI/ML solutions into customer environments. This role offers an exciting opportunity to be at the forefront of GenAI innovation in a region implementing numerous transformative AI initiatives.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect scalable, secure, and innovative GenAI solutions that leverage AWS services to solve complex customer challenges and drive business transformation.</li><li>Build and maintain technical trusted advisor relationships with influential technical decision makers for successful adoption and deployment of AWS GenAI/ML services and technologies.</li><li>Evangelize current and future AWS GenAI and ML services through white papers, blogs, reference implementations, and presentations to enable customers and partners.</li><li>Capture and share best-practice knowledge amongst the AWS solutions architect community, creating field enablement materials for the broader SA population.</li><li>Work collaboratively with sales teams to create and execute business plans that accelerate AWS adoption, exceed revenue goals, and drive customer satisfaction with GenAI/ML solutions.</li></ul><br>
A day in the life<br>
Your day begins with a technical deep dive with a customer's AI team to understand their GenAI requirements and propose architecture solutions using Amazon Bedrock and SageMaker. Later, you'll collaborate with sales colleagues on business plans for driving AI adoption, then spend time developing a reference architecture for a RAG solution that addresses common customer needs. You might finish by drafting a technical blog on implementing ML solutions or conducting a workshop to demonstrate AI capabilities to potential customers.<br>
<br>
About the team<br>
You'll join AWS's innovative team in the MENAT region where numerous AI initiatives are being driven. As part of the AGS MENAT Specialist organization, you'll work alongside talented technical professionals who are transforming how businesses leverage AI technologies. The team fosters an inclusive culture that values continuous learning and professional growth, providing opportunities to collaborate on groundbreaking projects that shape the future of AI adoption across diverse industries in the region.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><p>
- - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 5+ years of professional or military experience<br>
- - 10+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience<br>
- - Experience building services using AWS products<br>
- - Experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic workflows.<br>
- - Proficiency in Python and experience with GenAI frameworks (LangChain, LlamaIndex, etc.) and model APIs.<br>
- - Experience participating in the sales lifecycle (directly or indirectly) for GenAI solutions.<br>
- - Experience in leading executive briefings and customer workshops focused on GenAI strategy, use case development, and prototype demonstrations.</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
- - Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD<br>
- - Experience prioritizing competing demands, scoping large efforts, and negotiating timelines<br>
- - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry<br>
- - Experience conveying complex technical concepts to both technical and business audiences<br>
- - Publications or presentations in recognized GenAI, NLP, or ML journals or conferences.<br>
- - Hands-on experience architecting and deploying production GenAI solutions in secure or regulated environments.<br>
- - Deep technical expertise with AWS GenAI services including Amazon Bedrock (Claude, Llama, Titan models), Amazon SageMaker JumpStart, Amazon Q, and related AWS services (Lambda, Step Functions, ECS/EKS, API Gateway).<br>
- - Experience with GenAI security patterns, responsible AI practices, and model governance.<br>
- - Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of GenAI Solutions into top accounts.<br>
- - Ability to think strategically about business, product, and technical problems in the GenAI space and develop strategic, data-driven approaches.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</p></div>

Solutions Architect III, AGS MENAT Specialist Team

CALO

<div><h4 class="jobSectionHeader"><b>About Calo (more </b><b>here</b><b>)</b></h4><p>
Calo is an app providing personalized meal plans for busy people through nutritional algorithms, built with love by chefs, nutritionists, and software engineers.</p><p>
Launched in Bahrain in 2019, we have since expanded to 7 countries, delivered millions of meals to our customers, and are now expanding our mission of making healthy easy to retail and other verticals.</p><p>
We're on a noble mission to make healthy easy. We think this is one of the most important problems to tackle in our world today. We have global ambitions - no small thinking here.</p><h4 class="jobSectionHeader"><b>
Why This Role Matters</b></h4><p>
We are looking for a Full-stack Engineer &ndash; AI who will build and ship software using AI coding agents such as Codex and similar tools. You will develop applications for internal productivity and commercial products, leveraging AI-assisted development to accelerate engineering workflows.</p><p>
This role is ideal for engineers who are comfortable working with AI-driven coding environments, orchestrating coding agents, and building modern full-stack applications quickly and reliably.</p><p>
You will work across the entire product stack, from backend systems and APIs to user-facing interfaces, using AI as a core part of the development process.</p><h4 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h4><h5 class="jobSectionHeader"><b>
AI-Assisted Software Development</b></h5><ul><li><p>
Use coding agents (e.g., Codex and similar AI tools) to design, implement, and iterate on software systems.</p></li><li><p>
Build and deploy applications using AI-assisted development workflows.</p></li><li><p>
Design prompts, agent workflows, and automation pipelines that improve engineering velocity.</p></li></ul><h5 class="jobSectionHeader"><b>
Full-stack Development</b></h5><ul><li><p>
Develop scalable backend services and APIs.</p></li><li><p>
Build modern frontend interfaces and dashboards.</p></li><li><p>
Integrate internal tools and external services into production systems.</p></li></ul><h5 class="jobSectionHeader"><b>
AI Engineering Workflow</b></h5><ul><li><p>
Design and maintain agent-driven development processes.</p></li><li><p>
Evaluate and adopt emerging AI coding tools and frameworks.</p></li><li><p>
Optimize software delivery through automation and agent orchestration.</p></li></ul><h5 class="jobSectionHeader"><b>
Product Development</b></h5><ul><li><p>
Rapidly prototype and ship features.</p></li><li><p>
Collaborate with product teams to turn ideas into working software.</p></li><li><p>
Build tools that improve internal operations and developer productivity.</p></li></ul><h4 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h4><h4 class="jobSectionHeader"><b>
Requirements</b></h4><h5 class="jobSectionHeader"><b>
Experience</b></h5><ul><li><p>
1+ year of professional experience working with AI coding agents (Codex or similar).
</p></li><li><p>Experience building full-stack applications in production environments.</p></li></ul><h5 class="jobSectionHeader"><b>
Technical Skills</b></h5><p>
Strong experience with:</p><p><b>
Backend</b></p><ul><li><p>
Node.js / Python / Go / similar modern backend languages</p></li><li><p>
API design (REST / GraphQL)</p></li><li><p>
Databases (PostgreSQL, MongoDB, etc.)</p></li></ul><h6 class="jobSectionHeader"><b>
Frontend</b></h6><ul><li><p>
React / Next.js / modern frontend frameworks</p></li><li><p>
TypeScript / JavaScript</p></li></ul><h6 class="jobSectionHeader"><b>
AI Development</b></h6><ul><li><p>
Working with AI coding assistants or autonomous coding agents</p></li><li><p>
Prompt engineering for development workflows</p></li><li><p>
AI-assisted debugging, refactoring, and feature development</p></li></ul><h6 class="jobSectionHeader"><b>
Infrastructure</b></h6><ul><li><p>
Git</p></li><li><p>
Docker</p></li><li><p>
Cloud platforms (AWS / GCP / Azure)</p></li></ul><h5 class="jobSectionHeader"><b>
Preferred Qualifications</b></h5><ul><li><p>
Experience building agent-based development workflows.</p></li><li><p>
Familiarity with LLM APIs and AI tooling ecosystems.</p></li><li><p>
Experience building developer tools or internal automation systems.
</p></li><li><p>Startup or fast-paced product development experience.</p></li></ul><h4 class="jobSectionHeader"><b>
Who You Are</b></h4><ul><li><p>
An engineer who uses AI as a core part of how you build software.</p></li><li><p>
Strong problem-solver who can ship quickly while maintaining quality.</p></li><li><p>
A builder who enjoys experimenting with new AI-powered development paradigms.</p></li></ul><h4 class="jobSectionHeader"><b>
The Hiring Journey</b></h4><ul><li><p>
Screening with TA Partner (30 min)</p></li><li><p>
Technical Interview with the VP of AI (45 min)</p></li><li><p>
Culture Fit Interview with the Hiring and People Team Members (30 min)</p></li><li><p>
Offer</p></li></ul><h4 class="jobSectionHeader"><b>
Ready to Join?</b></h4><p>
If this role excites you, and you see yourself matching at least 85% of the criteria above, what are you waiting for? <b>Let&rsquo;s gooo!</b></p></div>

Full-stack Engineer – AI

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div><div></div><div><br>
We are looking for a proactive and solutions-oriented Lead Security Engineer who drives progress by enabling secure innovation and solutions. This candidate will work closely with cross-functional teams to move the needle forward in a secure and efficient way&mdash;finding practical, effective security solutions that empower the business while protecting critical assets.</div>
<div></div>
<div>This role is 100% Remote, Work from Home.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<ul><li>Leverage deep cybersecurity knowledge across DeFi domains&mdash;such as blockchain, smart contracts and wallet protection&mdash;alongside application security, system security, and cryptographic techniques.</li>
<li>Lead hands-on implementation of IT Security Risk Management and collaborate with stakeholders to protect assets, data, and systems.</li>
<li>Oversee cyber threat and vulnerability management, including penetration testing coordination.</li>
<li>Lead security incident response and management with timely escalation.</li>
<li>Conduct security risk assessments for projects and third-party integrations.</li>
<li>Ensure compliance with security governance, regulatory, and internal policies.</li>
<li>Define and lead AI security strategy and governance, including safe adoption of LLMs across products and internal workflows, with clear policies for data handling, prompt safety, and third-party integrations.</li>
<li>Design and enforce controls for AI-specific threats (prompt injection, data leakage, model abuse), while embedding secure AI practices into SDLC and engineering platforms.</li>
<li>Drive AI-enabled security operations, leveraging automation and AI to improve threat detection, triage, and response efficiency.</li>
</ul></div><h3 class="jobSectionHeader"><b>Requirements</b></h3><div>
<ul><li>2+ years of self-custody wallet experience</li>
<li>10+ years of cybersecurity experience in international, regulated environments.</li>
<li>Strong leadership combined with deep technical expertise.</li>
<li>Active contributor to the security community.</li>
<li>Experience in global, fast-paced, multicultural teams.</li>
<li>Bachelor&rsquo;s degree or higher in IT, Cybersecurity, or related field.</li>
<li>Hands-on experience managing cybersecurity operations and best practices.</li>
<li>Knowledge of frameworks such as NIST, ISO 27001/27701, CIS, and PCI-DSS.</li>
<li>Excellent communication skills and a collaborative mindset.</li>
<li>Passionate about emerging cybersecurity trends and threats.</li>
</ul></div><div><b>Why Binance</b></div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div><br>
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div><i>
By submitting a job application, you confirm that you have read and agree to our </i><b><i>Candidate Privacy Notice</i></b><i>.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Lead Security Engineer (AI Security, DeFi, Self Custody)

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 <br/>
 <br/>
 The company is founder led, profitable and growing.
 <br/>
 <br/>
 We are hiring an
 <strong>
  Ubuntu Pro Sales Engineer
 </strong>
 to help global companies embrace the latest and greatest Linux and open source applications. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu Pro, OpenStack and Canonical Microcloud, Kubernetes and a wide range of associated technology. The people who love this role are software engineers who enjoy customer conversations and solving customer problems during the presales cycle. Ubuntu is used by pretty much every enterprise in the world, in every industry. This is a fantastic opportunity to learn about the open source technology landscape and develop your business technology insights. You will see first hand in various industries how Linux - and Ubuntu in particular - is shaping innovation and changing the world for the better.
 <br/>
 <br/>
 This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country.
 <br/>
 <br/>
 What your day will look like
 <br/>
 <br/>
 The Ubuntu Pro Sales Engineer is a key player in our efforts to facilitate and drive the adoption of Ubuntu Pro in the very large Ubuntu enterprise user base.
 <br/>
 <br/>
 <ul>
  <li>
   Collect customer business requirements and advise them on Ubuntu and relevant open source applications
  </li>
  <li>
   Identify customer challenges with open source and articulate how Ubuntu Pro could help solve them
  </li>
  <li>
   Deliver presentations and demonstrations of Ubuntu Pro to prospective and current clients
  </li>
  <li>
   Liaise with product teams to give them feedback on requirements to influence roadmap
  </li>
  <li>
   Work collaboratively with your sales team to reach our common targets
  </li>
  <li>
   Global travel up to 25% of time for internal and external events and 25% to customer meetings
   <br/>
   <br/>
  </li>
 </ul>
 What we are looking for in you
 <br/>
 <br/>
 <ul>
  <li>
   Exceptional academic track record from both high school and university
  </li>
  <li>
   Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  </li>
  <li>
   Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  </li>
  <li>
   Track record of going above-and-beyond expectations to achieve outstanding results
  </li>
  <li>
   Demonstrated personal interest in continuous learning and development
  </li>
  <li>
   Practical knowledge of Linux, virtualisation, containers and networking
  </li>
  <li>
   Business-minded technology thinker and problem solver
  </li>
  <li>
   Knowledge of cloud computing concepts &amp; leaders, such as Kubernetes, AWS, Azure, GCP
  </li>
  <li>
   Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics
  </li>
  <li>
   Intermediate level Python programming skills
  </li>
  <li>
   Passion for technology evidenced by personal projects and initiatives
  </li>
  <li>
   The work ethic and confidence to shine alongside motivated colleagues
  </li>
  <li>
   Professional written and spoken English with excellent presentation skills
  </li>
  <li>
   Experience with Linux (Debian or Ubuntu preferred)
  </li>
  <li>
   Excellent interpersonal skills, curiosity, flexibility, and accountability
  </li>
  <li>
   A dynamic person who loves to jump in new projects and interact with people
  </li>
  <li>
   Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  </li>
  <li>
   Thoughtfulness and self-motivation
  </li>
  <li>
   Result-oriented, with a personal drive to follow up and meet commitments
  </li>
  <li>
   Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings
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   <br/>
  </li>
 </ul>
 What we offer colleagues
 <br/>
 <br/>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
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 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
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   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Employee Assistance Programme
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass, and travel upgrades for long haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 <strong>
  Canonical is an equal opportunity employer
  <br/>
  <br/>
 </strong>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Ubuntu Sales Engineer (Entry-Level)

Citi

<div>
 <strong>
  <em>
   Engineer the future of global finance. At Citi, our Tech team doesn&rsquo;t just support finance &ndash; we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.
   <br/>
   <br/>
  </em>
 </strong>
 The IT Project Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Coordinates activities of the project team, identifies necessary resources and develops schedules to meet completion deadlines.
  </li>
  <li>
   Verifies project team adherence to control and risk implementations as well as standards and process changes.
  </li>
  <li>
   Determines scope and impact of project risks and issues; raises and resolves issues.
  </li>
  <li>
   Applies good understanding of concepts and procedures within own IT project leadership area to resolve issues.
  </li>
  <li>
   Demonstrates a comprehensive understanding of how areas of IT project leadership collectively integrate to contribute to achieving business goals.
  </li>
  <li>
   Provides evaluative judgment based on analysis of factual information in complicated and unique situations.
  </li>
  <li>
   Directly impacts the IT project leadership area through shared responsibility for delivery of end results and contribution to planning, budget management and formulation of procedures; influences resource planning.
  </li>
  <li>
   Persuades and influences others through communication and diplomacy skills; may negotiate with external parties.
  </li>
  <li>
   Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Significant experience in an IT project leadership role with commensurate people management experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s/University degree or equivalent experience
   <br/>
   <br/>
  </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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 <br/>
 <br/>
 <strong>
  Job Family Group:
  <br/>
  <br/>
 </strong>
 Technology
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 <br/>
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 <br/>
 <br/>
 <strong>
  Job Family:
  <br/>
  <br/>
 </strong>
 Technology Project Management
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 <br/>
 ------------------------------------------------------
 <br/>
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 <strong>
  Time Type:
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 ------------------------------------------------------
 <br/>
 <br/>
 <strong>
  Most Relevant Skills
  <br/>
  <br/>
 </strong>
 Please see the requirements listed above.
 <br/>
 <br/>
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 <br/>
 <br/>
 <strong>
  Other Relevant Skills
  <br/>
  <br/>
 </strong>
 For complementary skills, please see above and/or contact the recruiter.
 <br/>
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 <br/>
 <br/>
 <em>
  Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
  <br/>
  <br/>
 </em>
 <em>
  If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 </em>
 <em>
  Accessibility at Citi.
  <br/>
  <br/>
 </em>
 <em>
  View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 </em>
</div>


IT Project Senior Analyst - Assistant Vice President

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