intelligent systems engineer

Revlab Intelligence

Role &amp; responsibilities As an Artificial Intelligence Engineer at REVLAB INTELLIGENCE, you will play a key role in designing, developing, and deploying AI-driven solutions that elevate businesses and streamline operations through automation and intelligent systems. Youll work closely with creative and business teams to transform innovative ideas into practical, scalable AI systems that power the next generation of digital enterprises. <ul> <li>Develop, train, and deploy machine learning and AI models for automation, chatbots, voice agents, and analytics tools.</li> <li>Build and integrate AI solutions into client workflows, CRMs, and web systems.</li> <li>Design intelligent process automation frameworks that optimize business performance.</li> <li>Collaborate with developers, content teams, and strategists to build AI-enhanced systems and tools.</li> <li>Work with different APIs and integrate AI services into digital platforms.</li> <li>Develop backend systems using Python, Voiceflow, MAKE etc for AI model deployment.</li> <li>Conduct research and experimentation with LLMs, NLP, computer vision, and reinforcement learning models.</li> <li>Continuously enhance system accuracy, reliability, and scalability using MLOps best practices.</li> <li>Document, test, and deploy models in production-ready environments (AWS, Azure, or GCP).</li> <li>Stay up to date with the latest advancements in AI and propose innovative applications for clients.</li> </ul>

Artificial Intelligence Engineer

Gulf Overseas HR Consultancy

The ITS Engineer will be responsible for designing, implementing, and maintaining Intelligent Transportation Systems that improve traffic flow, enhance safety, and optimize transportation infrastructure. The role combines traffic engineering, electronics, and IT solutions to develop smart transportation networks.Key Responsibilities:<ul><li>Design, implement, and maintain ITS infrastructure, including traffic signal systems, CCTV, sensors, variable message signs, and communication networks.</li><li>Develop and manage software and hardware solutions for traffic management, incident detection, and data collection.</li><li>Monitor, troubleshoot, and optimize ITS systems for efficiency, reliability, and safety.</li><li>Collaborate with government agencies, traffic engineers, and contractors for ITS projects.</li><li>Conduct feasibility studies, technical analysis, and cost estimates for ITS deployments.</li><li>Ensure compliance with local and international standards for ITS systems.</li><li>Analyze traffic data and provide actionable insights to improve road safety and reduce congestion.</li></ul>Qualifications &amp; Requirements:<ul><li>Bachelor's Degree in Electrical, Electronics, or Communication Engineering.</li><li>Minimum 5 years of relevant experience in ITS, Smart City, or Traffic System projects (Qatar/ GCC experience preferred).</li><li>Proven ability to lead full project lifecycles -from design through installation, testing, and 0 &amp; M.</li><li>Strong knowledge of QCS, Ashghal, and QFITS standards.</li><li>Ability to interpret and approve technical drawings, shop drawings, and as-built documents.</li><li>Skilled in network configuration, fault diagnosis, and system integration.</li><li>Excellent coordination with clients, consultants, and subcontractors.</li><li>Strong communication, documentation, and leadership skills.</li><li>Immediate joining preferred (NOC required).</li><li>Traffic Signalization Systems -field cabinet setup, controller configuration, and signal</li><li>optimization.</li><li>Over Height Vehicle Detection (OHVD)- system calibration, sensor alignment, and integration warning signs.</li><li>Closed-Circuit Television (CCTV)- configuration of IP-based surveillance, NVRs, and control center connectivity.</li><li>Dynamic Message Sign (OMS)- installation, software programming, and message display configuration.</li><li>Lane Control Sign (LCS) - lane management systems and control network integration.</li><li>Automatic Number Plate Recognition (ANPR) - setup, calibration, and data integration to central servers.</li><li>Weigh-In-Motion (WIM) - sensor installation, calibration, and data validation for high-speed weighing systems.</li><li>Communication &amp; Security Networks - configuration of switches, fiber connectivity, and network topologies for ITS.</li></ul>Job Type: Full-timePay: QAR7,000.00 - QAR10,000.00 per month

Intelligent Transportation Systems (ITS Engineer)

Peraton

<div>About Peraton 
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. 
 
Program Overview 
Engineering modernization and integration practices to include Digital Engineering and Agile at Scale for all of NGA, NSG, and ASG. 
 
About The Role 
 
The Expert Systems Engineer will lead multi-disciplinary engineering teams in delivering complex solutions across the National System for Geospatial-Intelligence (NSG), Allied System for Geospatial-Intelligence (ASG), and Federal Agencies. This role ensures the timely, accurate, and reliable delivery of GEOINT capabilities through excellence in systems engineering, integration, and lifecycle management.
 
 
Key Responsibilities:
 
 
<ul><li>Lead and support the Government in all aspects of systems engineering, including requirements definition, solutions engineering, scheduling, reliability, resiliency, services development, integration, testing, evaluation, maintainability, and analysis.
</li></ul> 
<ul><li>Plan and manage the analysis and traceability of user requirements, architectures, and procedures to improve or automate existing systems.
</li></ul> 
<ul><li>Evaluate and recommend improvements to cloud service capabilities, workflows, and scheduling processes.
</li></ul> 
<ul><li>Advise on and assess design changes driven by evolving requirements or emerging technologies.
</li></ul> 
<ul><li>Capture and translate mission and customer needs into system-level requirements and engineering solutions.
</li></ul> 
<ul><li>Support the allocation of requirements to system architecture components and program execution.
</li></ul> 
<ul><li>Conduct systems integration across multiple acquisition programs.
</li></ul> 
<ul><li>Lead and contribute to Analysis of Alternatives (AoAs), Courses of Action (CoAs), trade studies, and engineering assessments.
</li></ul> 
<ul><li>Support strategic technical planning, project management, performance engineering, risk management, and interface design.
</li></ul> 
<ul><li>Provide expert-level guidance connecting vision, strategy, plans, needs, and capability development across the enterprise.
</li></ul> 
<ul><li>Operate at a national level, integrating multiple Major Systems Acquisitions across organizational, agency, departmental, and governmental boundaries.
</li></ul> 
<ul><li>Oversee and coordinate the efforts of Senior-, Mid-, and Junior-level Systems Engineers.
</li></ul> 
Impact:
 
This position plays a pivotal role in advancing the nation's GEOINT mission by ensuring that complex systems are designed, integrated, and delivered efficiently-enabling critical decision-making across defense, intelligence, and federal domains.
 
 
Qualifications 
 
Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participate in an attractive bonus plan.
 
 
Required Qualifications
 
 
Education
 
 
<ul><li>Bachelor's degree or higher in Systems Engineering or a related technical or scientific field (e.g., Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or other STEM disciplines).
</li></ul> 
<ul><li>Equivalent experience may substitute for education:
</li></ul> 
<ul><li>+4 years of relevant experience in lieu of a degree, or
</li></ul> 
<ul><li>+2 years of relevant experience with a non-STEM degree.
</li></ul> 
Experience
 
 
<ul><li>18+ years of experience in government or industry in one or more of the following areas:
</li></ul> 
<ul><li>DoD/IC Acquisition Process
</li></ul> 
<ul><li>Requirements Process
</li></ul> 
<ul><li>PPBES Process
</li></ul> 
<ul><li>Systems engineering of large, complex System-of-Systems or Service-Oriented Architecture (SOA) environments within cloud, on-premise, or hybrid infrastructures.
</li></ul> 
<ul><li>18+ years of experience and a strong understanding of the systems engineering lifecycle.
</li></ul> 
<ul><li>Demonstrated knowledge of the National System for Geospatial-Intelligence (NSG), Allied System for Geospatial-Intelligence (ASG), and National Reconnaissance Office (NRO) enterprises.
</li></ul> 
<ul><li>Previous NGA and/or NSG/ASG program or project experience.
</li></ul> 
<ul><li>Prior Intelligence Community (IC) or Department of Defense (DoD) program/project experience.
</li></ul> 
Clearance
 
 
<ul><li>Active TS/SCI clearance or the ability to obtain SCI access and successfully pass a polygraph.
</li></ul> 
Desired Qualifications
 
 
Education &amp; Certification
 
 
<ul><li>Master's degree or higher in Systems Engineering or a related technical/scientific field (as listed above).
</li></ul> 
<ul><li>INCOSE Expert Systems Engineering Professional (ESEP) certification.
</li></ul> 
<ul><li>Software Development Framework certification.
</li></ul> 
<ul><li>Professional Engineer (PE) licensure.
</li></ul> 
Technical Expertise
 
 
<ul><li>Working knowledge of Model-Based Systems Engineering (MBSE) processes, tools, and languages.
</li></ul> 
<ul><li>Extensive experience engineering solutions using:
</li></ul> 
<ul><li>Cloud-based technologies
</li></ul> 
<ul><li>Structured and unstructured Big Data
</li></ul> 
<ul><li>Automation, Augmentation, and Artificial Intelligence (AI) technologies
</li></ul> 
<ul><li>Demonstrated expertise in one or more of the following disciplines:
</li></ul> 
<ul><li>Photogrammetry
</li></ul> 
<ul><li>Remote sensing
</li></ul> 
<ul><li>Image science
</li></ul> 
<ul><li>Information sciences
</li></ul> 
<ul><li>Geographic Information Systems (GIS)
</li></ul> 
<ul><li>Geomatics
</li></ul> 
<ul><li>Geospatial intelligence (GEOINT)
</li></ul> 
Professional Affiliations
 
Active membership or leadership in one or more of the following organizations:
 
 
<ul><li></li><li>ACSM
</li></ul> 
<ul><li>ASCE
</li></ul> 
<ul><li>ASPRS
</li></ul> 
<ul><li>OGC
</li></ul> 
<ul><li>SAREM
</li></ul> 
SCA / Union / Intern Rate or Range 
 
Details 
 
Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
 
 
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div>

Expert Systems Engineer

Penny Software

About Penny SoftwarePenny is a fast-growing procurement and technology company headquartered in Riyadh with operations across Saudi Arabia and Bahrain. Our mission is to build the best possible source-to-pay platform, allowing organizations worldwide to find suppliers, issue tenders, and manage responses faster, cheaper, and more efficiently than ever before.Role Summary:This is a high-impact senior role that sits at the intersection of Engineering, Data, and Product. You will steer Penny&rsquo;s entire approach to Machine Learning and AI, identifying opportunities to deliver measurable customer value and building the scalable solutions to realize it. Your work will directly impact thousands of procurement professionals across the MENA region.If successful, this role has the potential to develop into a Team Leadership position as we expand our dedicated AI/ML team. What You'll Do: Core ResponsibilitiesYou will be at the forefront of integrating AI and ML into procurement workflows, focusing on building intelligent solutions that solve real-world customer problems.1. AI/ML Development &amp; Deployment<ul><li>Design and implement production-ready AI/ML models that enhance core procurement processes, from supplier matching to risk assessment.</li><li>Develop solutions utilizing the latestLarge Language Model (LLM) and deep learning techniques to create tangible customer value.</li><li>Architect and implement Retrieval-Augmented Generation (RAG) systems to provide accurate, contextual, and grounded responses to user queries.</li><li>Create robust algorithms for advanced pattern recognition and process automation within complex procurement workflows.</li></ul>2. Technical Leadership &amp; MLOps<ul><li>Ensure all AI solutions are scalable, secure, and maintainable within our existing micro-service architecture.</li><li>Conduct rigorous A/B testing and performance optimization, ensuring the model's performance meets business requirements.</li><li>Provide technical guidance and mentorship on AI/ML best practices to other engineers at Penny.</li><li>Own the solution life cycle from concept and data preparation through to final deployment and monitoring.</li></ul>3. Cross-Functional Collaboration<ul><li>Partner closely with Product teams to identify the highest-value opportunities for AI-driven improvements.</li><li>Collaborate with Data teams to ensure high-quality training data, feature engineering, and labeling processes.</li><li>Work with UX teams to translate complex models into intuitive, AI-powered user experiences.</li></ul>What You Need to Succeed<ul><li>Experience: 4+ years of hands-on experience in AI/ML development, specifically deploying and managing models in production environments.</li><li>ML Proficiency: A strong track record and clear understanding of a range of ML techniques beyond simple prompting, including model fine-tuning and deployment.</li><li>Production Impact: Proven ability to solve complex business problems using AI/ML, demonstrating:</li><li>A clear understanding of problem-solution fit.</li><li>Rigorous evaluation of solution effectiveness.</li><li>Measurable business impact of your implementations.</li><li>Technical Foundation: Strong understanding of data processing, model evaluation techniques, and building high-performance, distributed systems.</li></ul>Desired Qualifications (Pluses)<ul><li>Experience setting up and managingMLOps best practices and tooling.</li><li>Hands-on experience with cloud platforms(Google Cloud, AWS, or Azure) and their native AI services.</li><li>Experience withArabic language application of AI and ML.</li><li>Knowledge of procurement, supply chain, or enterprise SaaS software domain.</li></ul>Job Type: Full-time

Randstad Türkiye

<div>
 
 We are looking for a
 
 "AI Engineer"
 
 on behalf of our global business partner runs in
 
 Telecommunication Industry.
 
 
 
 
 
 
 
 Description:
 
 
 
 
 AI Engineers &ndash; Search &amp; RecSys &amp; GenAI
 
 
 
 
 
 
 
 
 As a part of our AI teams you'll work with talented AI engineers at every level to improve our search and recommendation solutions within AppGallery. This role allows you to directly affect user experience of millions of AppGallery users.
 
 
 
 
 
 
 
 
 
 You'll have a chance to thrive in a multinational environment. Within this role you can expect to carry out following tasks;
 
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and optimize CTR prediction, graph-based models and ranking models for efficient and accurate search &amp; recommendation functionality in app store domain.
 </li>
 <li>
 Conduct feature engineering and data analysis to drive better model performance and insights.
 </li>
 <li>
 Explore and integrate generative AI techniques, LLM fine-tuning methods such as LoRA, QLoRA, or Prompt Tuning into search and recommendation systems.
 </li>
 <li>
 Develop agentic search and recommendation solutions for autonomous decision-making in search and recommendation pipelines.
 </li>
 <li>
 Design, build and deploy scalable ML services on MLOps platform to address business requirements.
 </li>
 <li>
 Collaborate with cross-functional teams to analyze complex data requirements and design innovative software solutions.
 </li>
 <li>
 Conduct code reviews to ensure high-quality, maintainable, and efficient code following industry best practices.
 </li>
 <li>
 Mentor and guide junior engineers in the areas of search, information retrieval, deep learning, and NLP.
 </li>
 <li>
 Stay updated with the latest advancements in information retrieval, ranking, deep learning, NLP, generative AI and agentic search, and integrate them into our products and services
 </li>
 <li>
 Produce academic outputs in the form of papers, patents, and technical talks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Minimum MS degree or PHD degree with focus on RecSys, IR and DL, preferably in a computer science &amp; engineering or related fields.
 </li>
 <li>
 Minimum 3 years of experience preferably in industry.
 </li>
 <li>
 Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
 </li>
 <li>
 Experience with popular deep learning frameworks (TensorFlow, PyTorch) and other ML libraries.
 </li>
 <li>
 Proven expertise in LLM-based development, RAG pipelines, and multi-agent systems.
 </li>
 <li>
 Publication records in journals or conferences related with RecSys, IR, NLP especially in the areas of ctr prediction, vector retrieval, semantic search and ranking.
 </li>
 <li>
 Experience in integrating deep models, language models (LMs), generative AI models, and ranking models for large-scale recommendation engines using these specialized techniques.
 </li>
 <li>
 Previous project experience in search or recommendation systems domain, including agentic search and recommendation approaches, is a big plus.
 </li>
 <li>
 Java service development experience using Spring and related topics &amp; technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)
 </li>
 <li>
 Fluency in English is mandatory.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Am I right for the team?
 
 
 <ul>
 <li>
 </li>
 <li>
 If you're excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data, you can be perfect fit for the task at hand.
 </li>
 <li>
 If you're easy to communicate, open for suggestions and improvements, can work independently, pro-actively and well aligned then you can be perfect fit for our team culture.
 </li>
 </ul>
</div>

Gizli Şirket

<div>
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Developing artificial intelligence and machine learning models for the needs of the company
 </li>
 <li>
 To conduct literature research in line with the project requirements
 </li>
 <li>
 Implementing and optimizing different machine learning algorithms
 </li>
 <li>
 To monitor, evaluate and continuously improve the performance of the models
 </li>
 <li>
 Planning, managing and executing artificial intelligence projects
 </li>
 <li>
 To follow the latest developments and innovations in the field of artificial intelligence and integrate them into the company
 </li>
 <li>
 To provide training and support on artificial intelligence technologies to other departments within the company
 </li>
 <li>
 Working in accordance with ethical and safety standards in artificial intelligence applications
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in Computer Engineering, Data Science, Artificial Intelligence, or a related field
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Experienced in artificial intelligence, machine learning and data science
 </li>
 <li>
 Demonstrate proficiency in the Python programming language and actively write code in projects
 </li>
 <li>
 Experience in artificial intelligence and machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, Pandas, Numpy
 </li>
 <li>
 Developed prototypes and proofs of concept in one or all of the fields such as LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
 </li>
 <li>
 To have knowledge about image processing, big data processing and database management systems
 </li>
 <li>
 Problem-solving skills and analytical thinking ability
 </li>
 <li>
 Prone to teamwork, high communication skills
 </li>
 <li>
 Open to innovations and eager to learn
 </li>
 </ul>
 
 
</div>

TRB 360

<div>
 
 
 Senior Software Developer
 
 
 
 
 
 
 
 Artificial Intelligence (AI) Specialist
 
 
 
 
 
 
 
 We are seeking a AI Specialist for our company operating in the oil and gas sector.
 
 
 
 
 
 
 
 Location: &Idot;stanbul- Ankara
 
 
 
 
 
 
 
 Role
 
 
 
 
 
 
 You will design and implement end-to-end AI solutions. This includes leveraging classical machine learning (ML), deep learning, and time series-based architectures. You will collaborate with cross-functional teams to identify business challenges and design experiments. Additionally, you will build predictive models and communicate actionable insights to stakeholders.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Strong knowledge of SQL and Python, and enthusiasm for learning new languages when needed
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 3+ years of experience in machine learning, data science, or AI engineering
 </li>
 <li>
 Proficiency in Python and ML/AI libraries (Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, LangChain)
 </li>
 <li>
 Strong understanding of the ML model lifecycle, API-based architectures, and cloud-native deployment
 </li>
 <li>
 Excellent problem-solving skills and ability to communicate complex technical ideas clearly
 </li>
 <li>
 Experience with software implementation
 </li>
 <li>
 Strong background in mathematical modeling, operations research, and statistical approaches
 </li>
 <li>
 Strong background in time series models
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design and implement AI solutions using machine learning (ML), deep learning, and time series architectures
 </li>
 <li>
 Build solutions with generative AI (GenAI) tools such as OpenAI, Hugging Face Transformers, LangChain, and vector databases (Pinecone, FAISS)
 </li>
 <li>
 Translate business requirements into scalable AI-driven systems and MVPs (Minimum Viable Products)
 </li>
 <li>
 Collaborate with data engineers, product managers, and software developers
 </li>
 <li>
 Stay up-to-date with emerging AI trends and apply them to drive innovation
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 Continuous Learning:
 
 A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.
 </li>
 <li>
 
 Home Office Support:
 
 A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence (AI) Specialist (Senior) İstanbul-Ankara

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