ai engineer

ai developer

ai engineer ii

machine learning engineer

planning specialist

artificial intelligence specialist

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Scientist

Finaira

<div>
 The AI Engineer II designs, builds, and deploys scalable AI systems spanning classical ML, LLMs, and agentic architectures. This role drives the development of intelligent agents, optimized inference pipelines, and automated AI workflows, while mentoring junior engineers and shaping best practices in MLOps and AgentOps.
 
 
 
 Focus
 
 : Solution Architecture
 
 
 <ul>
 <li>
 Agentic Systems
 </li>
 <li>
 Model Optimization
 </li>
 <li>
 Mentorship
 
 
 </li>
 </ul>
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Architect and implement end-to-end AI solutions, from data pipelines to agentic reasoning systems
 </li>
 <li>
 Design and maintain training and inference pipelines for both ML and LLM models
 </li>
 <li>
 Lead fine-tuning, LoRA training, prompt-tuning, and model evaluation initiatives
 </li>
 <li>
 Build and orchestrate agentic workflows&mdash;including tool calling, memory management, and multi-agent coordination
 </li>
 <li>
 Integrate AI models with applications through robust APIs and services
 </li>
 <li>
 Define and enforce standards for MLOps and AgentOps (versioning, deployment, monitoring, evaluation)
 </li>
 <li>
 Establish evaluation frameworks for predictive and generative systems (performance, accuracy, factuality, safety)
 </li>
 <li>
 Troubleshoot complex AI infrastructure issues and ensure production reliability
 </li>
 <li>
 Mentor AI Engineer 1 associates and lead code reviews and knowledge sharing
 </li>
 <li>
 Collaborate with cross-functional teams (product, data, UX, DevOps) to translate business problems into AI solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field. Master's degree preferred
 </li>
 <li>
 Experience: 3+ years hands-on AI/ML development and deployment experience
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expertise in Python and ML/LLM frameworks (PyTorch, TensorFlow, Transformers, LangChain, vLLM)
 </li>
 <li>
 Strong knowledge of MLOps &amp; AgentOps tools (Docker, Kubernetes, CI/CD, Ray Serve, MLFlow)
 </li>
 <li>
 Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
 </li>
 <li>
 Proficiency in databases (SQL/NoSQL) and data pipeline design
 </li>
 <li>
 Expertise in fine-tuning, adapter training (LoRA), and RAG pipelines
 </li>
 <li>
 Strong understanding of prompt design, multi-agent orchestration, memory architectures, and tool integration
 </li>
 <li>
 Familiar with AI safety, evaluation, and governance frameworks
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strategic problem-solving and innovation mindset
 </li>
 <li>
 Excellent communication with both technical and non-technical stakeholders
 </li>
 <li>
 Team leadership and mentorship skills
 </li>
 <li>
 Curiosity for research and emerging AI techniques
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

AI Engineer II

Areeb Technology

<div>
 About THe role :
 
 
 
 As our AI, data, and analytics team continues to grow rapidly, we are looking for two outstanding AI engineers with strong expertise in both AI development and AI automation. This is a unique opportunity to help design and build transformative systems that set new standards for technological innovation across industries. At Areeb, you&rsquo;ll be part of a young, fast-growing AI team with expanding responsibilities and real influence.
 
 
 We offer:
 
 
 &bull; The chance to work on impactful, real-world AI solutions
 
 &bull; A culture that encourages innovation, ownership, and fast experimentation&bull; Frequent opportunities to present technical ideas and solutions to company leadership
 
 &bull; A collaborative and supportive environment focused on continuous learning and professional growth
 
 
 
 We are seeking an AI Engineer who can help define new technical directions as we scale our solutions globally. In this role, you will architect, plan, and develop advanced AI systems in close collaboration with cross-functional teams, seamlessly integrating them into our infrastructure. Your work will focus on generative AI, retrieval-augmented generation (RAG), and multi-agent architectures, while also supporting development teams through AI-assisted (vibe) coding and building scalable AI automation systems.
 
 
 
 As an AI &amp; Automation Engineer at Areeb, you will combine applied AI development with intelligent automation to build solutions that not only extract insights from data, but also optimize, streamline, and automate business and engineering workflows. Your responsibilities will include:
 
 
 &bull; Design, develop, and deploy real-time AI solutions to address complex, real-world challenges across teams.
 
 &bull; Architect and implement AI-driven automation solutions for multiple business and technical departments.
 
 &bull; Identify processes suitable for automation and conduct feasibility, impact, and scalability assessments.
 
 &bull; Integrate AI models (e.g., large language models, computer vision, and other ML models) into end-to-end automation pipelines.
 
 &bull; Build AI-powered solutions that enhance software development workflows, including LLM based coding assistance and automation.
 
 &bull; Collaborate closely with cross-functional teams, including AI engineers, software developers, product owners, and project managers, to deliver robust and scalable solutions.
 
 &bull; Ensure all solutions comply with data privacy regulations, security policies, and responsible/ethical AI standards. &bull; Document system designs and implementations, and develop user guides, training materials, and technical support documentation.
 
 
 
 Requirements
 
 
 <ul>
 <li>
 A degree or proven track record (with certification from recognized institutions) in AI or a related field
 
 </li>
 <li>
 Excellent knowledge of supervised methods (Classification, Regression) and unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction).
 
 </li>
 <li>
 Proficiency in Python and SQL, along with key Python libraries for ML and data analysis (scikit-learn, Pandas, NumPy, matplotlib, SciPy, MLflow
 
 </li>
 <li>
 Experience in Deep Learning (RNNs, CNNs, Autoencoders).
 
 </li>
 <li>
 Proven skills in data analysis and the ability to extract insights from real-world datasets.
 
 </li>
 <li>
 Experience with Keras (and TensorFlow) or PyTorch.&bull; Some knowledge in AI automation platforms such as n8n, Make, or Zapier.
 
 </li>
 <li>
 Familiarity with vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering
 
 </li>
 <li>
 Experience with tools like UiPath or Microsoft Power Automate is a strong plus.
 
 </li>
 <li>
 Ability to find creative solutions to complex problems.
 
 </li>
 <li>
 Curious mindset with a continuous desire to learn and collaborate.
 
 
 </li>
 </ul>
</div>

AI Engineer

Interact Technology Solutions

<div>
 
 &reg; Job Summary:
 
 
 
 
 
 
 The AI Engineer will be responsible for building practical and scalable GenAI applications&mdash;including chatbots, RAG systems, and AI agents&mdash;supported by reliable data pipelines and rigorous evaluation frameworks. The role focuses on delivering high-quality, production-ready AI solutions that meet enterprise needs.
 
 
 
 
 
 
 &reg; Accountability &amp; Responsibilities
 
 
 
 
 
 
 &middot; Develop end-to-end GenAI applications, including chatbots, RAG systems, and autonomous agents.
 
 
 
 &middot; Build and maintain data pipelines, embeddings, and vector search infrastructure.
 
 
 
 &middot; Conduct prompt engineering, testing, and evaluation to improve model performance.
 
 
 
 &middot; Implement and integrate REST/GraphQL APIs for backend and frontend interfaces.
 
 
 
 &middot; Create rapid prototypes and proof-of-concept (POC) applications for internal and client use.
 
 
 
 &middot; Ensure clean, maintainable code and deliver comprehensive documentation.
 
 
 
 &middot; Collaborate with data teams, product teams, and senior AI architects to refine solutions.
 
 
 
 &middot; Monitor system performance, troubleshoot issues, and apply continuous improvements.
 
 
 
 &middot; Follow governance, security, and compliance requirements for AI deployments.
 
 
 
 
 
 Requirements
 
 
 
 
 1
 
 &ndash; Required Experience
 
 
 &middot; Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 
 <ul>
 <li>
 3&ndash;6 years of experience in AI software engineering, ML engineering, or data engineering.
 
 </li>
 <li>
 Delivered at least two AI applications into production.
 
 </li>
 </ul>
 
 
 2
 
 &ndash; Technical Skills:
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python, LangChain, LlamaIndex, and vector databases (Qdrant, Milvus).
 
 
 </li>
 <li>
 
 
 Hands-on experience with
 
 embeddings, similarity search, and RAG pipelines.
 
 
 </li>
 <li>
 
 
 Strong foundations in prompt engineering and model evaluation.
 
 </li>
 <li>
 
 
 Ability to design and integrate
 
 REST/GraphQL APIs.
 
 
 </li>
 <li>
 
 
 Basic front-end development experience for
 
 POCs (React, HTML/CSS, or similar).
 
 
 </li>
 <li>
 Familiar with
 
 Git/GitHub, Docker, Jupyter/VS Code, and Postman.
 
 
 </li>
 </ul>
 
 
 3
 
 &ndash; Certifications:
 
 
 <ul>
 <li>
 
 NVIDIA AI Developer
 
 (Preferred)
 
 </li>
 <li>
 
 Cloud AI Architect &ndash; Azure / AWS / GCP
 
 (Plus)
 
 
 
 
 
 
 </li>
 </ul>
</div>

<div>
 About THe role :
 
 
 
 As our AI, data, and analytics team continues to grow rapidly, we are looking for two outstanding AI engineers with strong expertise in both AI development and AI automation. This is a unique opportunity to help design and build transformative systems that set new standards for technological innovation across industries. At Areeb, you&rsquo;ll be part of a young, fast-growing AI team with expanding responsibilities and real influence.
 
 
 We offer:
 
 
 &bull; The chance to work on impactful, real-world AI solutions
 
 &bull; A culture that encourages innovation, ownership, and fast experimentation &bull; Frequent opportunities to present technical ideas and solutions to company leadership
 
 &bull; A collaborative and supportive environment focused on continuous learning and professional growth
 
 
 
 We are seeking an AI Engineer who can help define new technical directions as we scale our solutions globally. In this role, you will architect, plan, and develop advanced AI systems in close collaboration with cross-functional teams, seamlessly integrating them into our infrastructure. Your work will focus on generative AI, retrieval-augmented generation (RAG), and multi-agent architectures, while also supporting development teams through AI-assisted (vibe) coding and building scalable AI automation systems.
 
 
 
 As an AI &amp; Automation Engineer at Areeb, you will combine applied AI development with intelligent automation to build solutions that not only extract insights from data, but also optimize, streamline, and automate business and engineering workflows. Your responsibilities will include:
 
 
 &bull; Design, develop, and deploy real-time AI solutions to address complex, real-world challenges across teams.
 
 &bull; Architect and implement AI-driven automation solutions for multiple business and technical departments.
 
 &bull; Identify processes suitable for automation and conduct feasibility, impact, and scalability assessments.
 
 &bull; Integrate AI models (e.g., large language models, computer vision, and other ML models) into end-to-end automation pipelines.
 
 &bull; Build AI-powered solutions that enhance software development workflows, including LLM based coding assistance and automation.
 
 &bull; Collaborate closely with cross-functional teams, including AI engineers, software developers, product owners, and project managers, to deliver robust and scalable solutions.
 
 &bull; Ensure all solutions comply with data privacy regulations, security policies, and responsible/ethical AI standards. &bull; Document system designs and implementations, and develop user guides, training materials, and technical support documentation.
 
 
 
 Requirements
 
 
 <ul>
 <li>
 A degree or proven track record (with certification from recognized institutions) in AI or a related field
 
 </li>
 <li>
 Excellent knowledge of supervised methods (Classification, Regression) and unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction).
 
 </li>
 <li>
 Proficiency in Python and SQL, along with key Python libraries for ML and data analysis (scikit-learn, Pandas, NumPy, matplotlib, SciPy, MLflow
 
 </li>
 <li>
 Experience in Deep Learning (RNNs, CNNs, Autoencoders).
 
 </li>
 <li>
 Proven skills in data analysis and the ability to extract insights from real-world datasets.
 
 </li>
 <li>
 Experience with Keras (and TensorFlow) or PyTorch.&bull; Some knowledge in AI automation platforms such as n8n, Make, or Zapier.
 
 </li>
 <li>
 Familiarity with vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering
 
 </li>
 <li>
 Experience with tools like UiPath or Microsoft Power Automate is a strong plus.
 
 </li>
 <li>
 Ability to find creative solutions to complex problems.
 
 </li>
 <li>
 Curious mindset with a continuous desire to learn and collaborate.
 
 
 </li>
 </ul>
</div>

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration 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>

AI Developer

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