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Deloitte

<div>
 
 Deloitte Innovation Hub | AI &amp; Data | Senior AI / ML Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 As a Senior AI/ML Engineer in our team, you will:
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionized solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Ensure high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assist in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 Client Engagement
 
 
 
 Your Tasks would include
 
 :
 
 
 
 <ul>
 <li>
 Engage with clients to understand their pain points and requirements.
 </li>
 <li>
 Communicate solutions/propositions effectively back to client/team.
 
 
 </li>
 </ul>
 
 Data Analysis And Pre-processing
 
 
 
 <ul>
 <li>
 Collect and clean large datasets for machine learning projects.
 </li>
 <li>
 Explore data to identify patterns, anomalies, and potential insights.
 </li>
 <li>
 Pre-process data, including feature engineering and normalization.
 
 
 </li>
 </ul>
 
 Algorithm Development
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning algorithms.
 </li>
 <li>
 Experiment with various machine learning models and techniques.
 </li>
 <li>
 Optimize algorithms for accuracy, efficiency, and scalability.
 
 
 </li>
 </ul>
 
 Model Training And Evaluation
 
 
 
 <ul>
 <li>
 Train machine learning models using collected data.
 </li>
 <li>
 Perform testing to validate models.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and techniques.
 </li>
 <li>
 Fine-tune models to improve predictive accuracy.
 
 
 </li>
 </ul>
 
 Data Visualization
 
 
 
 <ul>
 <li>
 Create informative data visualizations to communicate insights effectively.
 </li>
 <li>
 Work with visualization libraries like Matplotlib, Seaborn, or data visualization software&rsquo;s like Tableau, PowerBI.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience.
 
 
 
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 
 
 
 Essentials
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering or equivalent
 </li>
 <li>
 3-7 years of experience in Data Science and AI/ML
 </li>
 <li>
 Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
 </li>
 <li>
 Data proficiency: Proficient in data collection, pre-processing, and analysis.
 </li>
 <li>
 Model Mastery: Proven experience in developing and fine-tuning machine learning models.
 
 
 </li>
 </ul>
 
 Desirables
 
 
 
 <ul>
 <li>
 Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

Hitachi Rail

<div>
 
 About Us
 
 
 
 A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there's something for everyone to get stuck into. And that's where you come in.
 
 
 Cairo, Egypt (On-Site)
 
 
 
 Summary
 
 
 
 Within the Ticketing domain, the Revenue Collection Systems (RCS) activity designs and provides a wide range of solutions for international markets in the field of Smart Mobility, with recognized expertise particularly in ticketing, parking, and road solutions.
 
 
 The predominantly international projects range from equipping a single line to deploying integrated multimodal and multi-operator systems based on contactless technologies, tailored to metro and bus networks.
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 You are the reference point for the definition of the deployment solution and its optimization.
 </li>
 <li>
 As a DevOps engineer, you will participate in the design of our solutions and will be responsible for defining the deployment solution, whether "On-premises" or cloud-based.
 </li>
 <li>
 Maintain the continuous integration pipeline for the development team.
 </li>
 <li>
 Ensure deployments on pre-production and production platforms for our clients.
 </li>
 <li>
 Within the RCS engineering department, you will join the back-office team of the Tran City product line.
 
 
 
 </li>
 </ul>
 
 Key communications in this position are
 
 
 
 
 <ul>
 <li>
 Regular communication with the Software Engineering Manager.
 </li>
 <li>
 Regular communication with the Project Design Authority.
 </li>
 <li>
 Regular communications with the development team in Cairo and other Hitachi countries depending on the project.
 </li>
 <li>
 Regular communication with the stakeholders involved in delivering the solution.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 A bachelor's level degree in a computer science - or relevant - field
 </li>
 <li>
 fluent in English. French is a plus.
 </li>
 <li>
 Total years of experience: 5+ years
 </li>
 <li>
 Ticketing Solution experience is a MUST
 </li>
 <li>
 Microsoft office (Word, Excel)
 </li>
 <li>
 Autonomy
 </li>
 <li>
 Versatility and flexibility
 </li>
 <li>
 Rigorousness, commitment and accountability, ability to take and meet commitments
 </li>
 <li>
 Team spirit
 </li>
 <li>
 Ansible
 </li>
 <li>
 Python
 </li>
 <li>
 Docker
 </li>
 <li>
 Docker Swarm
 </li>
 <li>
 PowerShell
 </li>
 <li>
 Kubernetes [Helm, Kustomize]
 </li>
 <li>
 Jenkins
 </li>
 <li>
 Java and Node compilation.
 </li>
 <li>
 Git
 </li>
 <li>
 Linux Administration [Ubuntu, RedHat/CentOS, Suse]
 </li>
 <li>
 Windows Administration [Windows Server, Failover Cluster]
 </li>
 <li>
 Network Administration [DNS, DHCP]
 </li>
 <li>
 Operational experience on Cloud platforms such as Azure/AWS/GCloud (at least one)
 
 
 
 </li>
 </ul>
 
 Knowledge of
 
 
 
 
 <ul>
 <li>
 Consul
 </li>
 <li>
 Vault
 </li>
 <li>
 RabbitMQ
 </li>
 <li>
 LDAP
 </li>
 <li>
 Prometheus
 </li>
 <li>
 Grafana
 </li>
 <li>
 Deployment of Postgres, SQL Server
 </li>
 <li>
 Security management [Certificates, TLS]
 </li>
 <li>
 TFS
 </li>
 <li>
 Terraform
 
 
 
 </li>
 </ul>
 Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at https://www.hitachirail.com/careers .
 
 
 
 At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.
 
 
 
 We would be delighted if you would be one of our followers at https://www.linkedin.com/company/hitachirail .
</div>

Senior DevOps Engineer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Enabling Technology, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Egypt, Cairo.
 
 
 
 
 
 
 The Senior ServiceNow Engineer
 
 is responsible for configuring, customizing, and optimizing the ServiceNow platform to support business objectives and ensure the successful implementation of solutions across ITSM, HRSD, CSM, and SPM, with a strong emphasis on configuration over coding while adhering to platform best practices and technical standards. This role works closely with business stakeholders, product managers, and developers to translate requirements into functional solutions, while also contributing to automation initiatives, platform enhancements, and process improvements that drive operational efficiency.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 
 ServiceNow Configuration &amp; Implementation
 
 
 
 &bull; Configure and customize ServiceNow applications to align with business processes and ITSM best practices.
 
 
 &bull; Implement Business Rules, UI Policies, Client Scripts, Flow Designer, and Workflows to enhance platform functionality.
 
 
 &bull; Support Service Catalog, Request Fulfillment, and CMDB maintenance, ensuring accurate and reliable data.
 
 
 &bull; Assist in integrating ServiceNow with enterprise systems using REST/SOAP APIs and Integration Hub.
 
 
 &bull; Ensure solutions are scalable, maintainable, and compliant with IT governance and security policies.
 
 
 
 Technical Collaboration &amp; Support
 
 
 
 &bull; Work closely with business analysts and product managers to understand requirements and translate them into technical configurations.
 
 
 &bull; Collaborate with Senior Configuration Leaders and Developers to implement ServiceNow enhancements.
 
 
 &bull; Troubleshoot and resolve configuration-related issues, ensuring platform stability and performance.
 
 
 &bull; Assist in testing, validation, and deployment of ServiceNow updates and new functionalities.
 
 
 
 Process Optimization &amp; Automation
 
 
 
 &bull; Identify opportunities to streamline processes using Flow Designer, Business Rules, and Orchestration.
 
 
 &bull; Support data quality initiatives and maintain CMDB integrity to improve system reliability.
 
 
 &bull; Participate in ServiceNow upgrade testing, ensuring platform compatibility with new releases.
 
 
 
 Documentation &amp; Knowledge Sharing
 
 
 
 &bull; Maintain technical documentation, including configuration guides, test cases, and process workflows.
 
 
 &bull; Support user training and knowledge sharing to improve platform adoption.
 
 
 &bull; Contribute to internal best practices and governance documentation.
 
 
 
 Continuous Improvement &amp; Learning
 
 
 
 &bull; Stay updated with ServiceNow platform releases and industry trends, proactively identifying areas for enhancement.
 
 
 &bull; Work towards ServiceNow certifications and expand technical expertise.
 
 
 &bull; Engage in learning opportunities and technical mentoring from senior team members.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.
 
 
 &bull; 3-5 years of experience in ServiceNow configuration and implementation.
 
 
 &bull; Hands-on experience in ITSM and exposure to HRSD, CSM, or SPM is a plus.
 
 
 &bull; ServiceNow Certified System Administrator (CSA) &amp; Certified Application Developer (CAD) certification.
 
 
 &bull; Familiarity with JavaScript, Glide API, Flow Designer, Business Rules, and Client Scripts.
 
 
 &bull; Understanding of ServiceNow integrations using REST/SOAP APIs and Integration Hub.
 
 
 &bull; Basic experience with Performance Analytics, dashboards, and reporting in ServiceNow.
 
 
 &bull; Strong problem-solving and analytical skills, with the ability to follow structured development guidelines.
 
 
 &bull; Exposure to Agile/Scrum methodologies and experience working in an enterprise environment.
 
 
 &bull; Strong attention to detail, time management, and ability to work under deadlines.
 
 
 &bull; Fluent in English (verbal and written), with good communication and stakeholder engagement skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Senior ServiceNow Engineer

Smart Eye

<div>
 Smart Eye is the leading provider of Human Insight AI, technology that understands, supports and predicts human behavior in complex environments. The company is on a mission to bridge the gap between humans and machines for a safe and sustainable future. Supported by Affectiva and iMotions &ndash; companies it acquired in 2021 &ndash; Smart Eye&rsquo;s multimodal software and hardware solutions provide unparalleled insight into human behavior.
 
 
 In automotive, Smart Eye&rsquo;s driver monitoring systems and interior sensing solutions improve road safety and the mobility experience. The company&rsquo;s eye tracking technology and iMotions biosensor software platform are also used in behavioral research to enable advanced research in academic and commercial sectors. In media analytics, Affectiva&rsquo;s Emotion AI provides the world&rsquo;s largest brands and market researchers with a deeper understanding of how consumers engage with content, products, and services.
 
 
 Founded in 1999, Smart Eye is a global company headquartered in Sweden, with customers including NASA, Nissan, Boeing, Honeywell, Volvo, GM, BMW, Polestar, Geely, Harvard University, 26 percent of the Fortune Global 500 companies, and over 1,300 research organizations around the world.
 
 
 Visit
 
 www.smarteye.ai
 
 for more information.
 
 
 
 The Job
 
 
 
 You will be a member of the production engineering team at Smart Eye with a focus on automotive products. You will develop code enabling cars to intelligently monitor what's happening inside the cabin in order to improve safety, personalization, security, human/vehicle interactions, and more. You will work closely with your teammates to roll out new AI products and capabilities and pitch in and help wherever your interests and skills fit.
 
 
 Our team is tasked with tuning, customizing, configuring, building, testing, delivering and supporting targeted versions of our Automotive SDK for vehicle production programs. In addition, we are tasked to adapt our software to customer specific hardware and operating systems.
 
 
 This is a great opportunity to get state of the art in cabin monitoring systems to production in the automotive industry. If you flourish with building new products that have never existed before, you get excited by creating solutions that take on significant problems. If you like rolling up your sleeves to get things done, then we want to hear from you!
 
 
 
 Skills And Technologies
 
 
 
 Must Have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering or equivalent
 </li>
 <li>
 5+ years of professional C++ programming
 </li>
 <li>
 Solid experience developing on Linux
 </li>
 <li>
 Multi-core programming experience
 </li>
 <li>
 Experience in optimizing code to reduce size, memory/CPU utilization
 </li>
 <li>
 Ability to support team members in reviewing and completing their tasks
 </li>
 <li>
 Basic understanding of machine learning and computer vision
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience delivering software for automotive production programs including applying ASPICE and ISO 26262 Functional Safety processes to achieve the ASIL requirements
 </li>
 <li>
 Experience using automated tools for unit testing, performance testing, and static/dynamic code analysis
 </li>
 <li>
 Experience with CMake, Docker, Git, Gitlab and Jenkins
 </li>
 <li>
 Programming experience in Python
 </li>
 <li>
 Experience working in a fast-paced environment with a consistent track record of success at startups
 </li>
 <li>
 Track record of mentoring junior engineers to improve code quality, productivity, and team effectiveness.
 </li>
 </ul>
</div>

Senior Software Engineer

Magnet

<div>
 
 
 Employer Overview
 
 
 
 A global technology company specializing in advanced control room solutions that support mission-critical operations. Its unified platform, powered by AI and IoT, connects digital and physical systems to provide real-time operational intelligence, enabling organizations to move from reactive to proactive decision-making.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a Junior Frontend Engineer to support the development of user interfaces and learn best practices for building scalable, high-performance frontend applications. This role is ideal for early-career engineers looking to grow their technical expertise.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist in developing responsive frontend applications.
 </li>
 <li>
 Convert UI designs into functional components under supervision.
 </li>
 <li>
 Support API integration and state management tasks.
 </li>
 <li>
 Ensure basic frontend performance and usability.
 </li>
 <li>
 Collaborate with senior engineers to follow coding standards.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or related field.
 </li>
 <li>
 0&ndash;2 years of Frontend development experience.
 </li>
 <li>
 Willingness to learn, teamwork, problem-solving.
 </li>
 <li>
 Basic knowledge of React / Vue / Angular
 </li>
 <li>
 TypeScript / JavaScript
 </li>
 <li>
 CSS3 / HTML5
 </li>
 <li>
 Familiarity with development tools and version control (Git).
 </li>
 <li>
 Ability to learn and implement frontend best practices.
 </li>
 <li>
 Ability to collaborate with senior engineers.
 </li>
 <li>
 Ability to assist in converting UI designs to functional components.
 </li>
 <li>
 Fluent in
 
 English
 
 (written and spoken).
 </li>
 </ul>
</div>

Frontend Developer

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We're looking for a
 
 Senior Software Engineer - Data
 
 to join the Graph &amp; Insights team within Procore's Construction Intelligence division. In this role, you'll build and scale the data platform that transforms construction project data into connected, queryable knowledge &mdash; enabling teams across Procore to surface insights, identify risks, and make smarter decisions.
 
 
 As a
 
 Senior Software Engineer - Data
 
 , you&rsquo;ll partner with other engineers, data scientists, and product managers across Product &amp; Technology to design and evolve the data architectures that power our "Helix AI" ecosystem. A core part of this role is focusing on
 
 data modeling, graph-based relationships, and high-throughput processing
 
 , ensuring that our construction intelligence tools are both performant and deeply insightful.
 
 
 This position reports to the Engineering Manager for Construction Intelligence and will be based in our
 
 Cairo office
 
 . We&rsquo;re looking for someone to join us immediately.
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 Create scalable data pipelines and microservices using a variety of technologies such as Java, Flink, Kafka, and Airflow.
 </li>
 <li>
 Participate in designing and building systems that are aligned with Procore&rsquo;s technical vision of a service-oriented architecture.
 </li>
 <li>
 Design and maintain graph data models and relationship-based architectures to provide a unified view of construction data.
 </li>
 <li>
 Work up and down the stack to ship code for our microservices and Flink jobs, and dive deep into the database layer to handle complex relational and graph querying needs.
 </li>
 <li>
 Implement and maintain algorithms and techniques to reduce data redundancy.
 </li>
 <li>
 Work in building applications using LLMs and GAIs.
 </li>
 <li>
 Monitor, analyze, and optimize the performance of our data pipelines and graph platforms.
 </li>
 <li>
 Maintain and evolve our data platforms to have clear domain boundaries and a coherent public interface, in alignment with Procore's technical vision.
 </li>
 <li>
 Mentor junior engineers within the team, providing guidance and support.
 </li>
 <li>
 Work with other engineers and stakeholders to ensure the success of our platforms.
 </li>
 <li>
 Collaborate with Engineering, Product, and UX to design and build solutions that delight users and solve critical business problems.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in Object Oriented Programming fundamentals, Test Driven Development, and Design principles.
 </li>
 <li>
 Strong experience building and optimizing data pipelines, architectures, and datasets, with a focus on both real-time streaming and batch processing using Spark or Flink.
 </li>
 <li>
 Professional experience working with Graph Technologies (such as Neo4j or similar) and writing optimized relationship-based queries.
 </li>
 <li>
 Strong understanding of software and data engineering principles and practices.
 </li>
 <li>
 Experience with a variety of data technologies, including Apache Flink, Apache Kafka, GraphQL, REST APIs, DynamoDB, Elastic Search, MongoDB, and Graph Databases.
 </li>
 <li>
 Experience with running services on Kubernetes and familiarity with Helm charts and Terraform.
 </li>
 <li>
 Experience in cloud environments like AWS, GCP, or Azure.
 </li>
 <li>
 Experience with data deduplication algorithms and techniques.
 </li>
 <li>
 Experience with deploying machine learning and statistical modeling.
 </li>
 <li>
 Excellent problem-solving, communication, and teamwork skills.
 </li>
 <li>
 Familiarity with Python, Java, and PHP for general scripting and software development.
 </li>
 <li>
 Experience with using Large Language Models for building applications is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer - Data

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 8&ndash;10 years total software/ML engineering experience, with 5+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 
 How You&rsquo;ll Work
 
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
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 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
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 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
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 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
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Principal Machine Learning Engineer

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