artificial

51Talk Headquarters

<div>
 
 
 
 About Us
 
 
 
 
 51Talk is a leading international EdTech company known for providing top-quality English language education. We are a dynamic organization with a solid global presence dedicated to making English learning accessible and enjoyable. With a team of over 30,000 dedicated employees and more than 15 branches worldwide, we are committed to delivering exceptional educational experiences. You will be essential in recruiting top talent and contributing to our company&rsquo;s growth in Amman, Jordan.
 
 
 
 
 
 
 Job Title: AI Business Partner
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for an
 
 AI Business Partner
 
 based in Egypt to lead the localization and internal enablement of AI applications across the organization. This role focuses on
 
 training internal teams
 
 ,
 
 enabling business functions through AI
 
 , and
 
 exploring opportunities to commercialize internal AI knowledge
 
 . Rather than a technical R&amp;D role, this position emphasizes practical application, workflow enhancement, and cross-functional collaboration, particularly in marketing and digital operations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. AI Capability Building &amp; Internal Training
 
 
 <ul>
 <li>
 Design and deliver engaging AI training programs tailored to different departments and skill levels
 </li>
 <li>
 Continuously improve training content based on feedback, adoption data, and evolving tools
 </li>
 <li>
 Develop and manage incentive programs to drive AI adoption within teams
 </li>
 <li>
 Track progress of capability development and internal tool usage
 </li>
 <li>
 Explore and support the commercialization of internal AI training materials
 </li>
 </ul>
 
 
 
 
 
 2. Business Enablement Through AI
 
 
 <ul>
 <li>
 Identify use cases where AI can improve workflows and reduce operational inefficiencies
 </li>
 <li>
 Collaborate with business and marketing teams to embed AI into existing processes
 </li>
 <li>
 Support the implementation of AI-driven automation and personalization tools
 </li>
 <li>
 Evaluate and report on the business impact of AI initiatives
 </li>
 </ul>
 
 
 
 
 
 3. Innovation, Localization &amp; Knowledge Sharing
 
 
 <ul>
 <li>
 Monitor global AI trends and assess their relevance to the local business environment
 </li>
 <li>
 Organize and lead AI innovation workshops to foster creative application of tools
 </li>
 <li>
 Build and maintain an internal AI case study library for cross-team learning
 </li>
 <li>
 Act as a liaison between local teams and headquarters to ensure strategic alignment
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in
 
 Computer Science, Artificial Intelligence, Educational Technology, Marketing Technology
 
 , or a related field
 </li>
 <li>
 Strong interest in AI applications with the ability to quickly adapt to new tools and platforms
 </li>
 <li>
 Excellent command of
 
 English
 
 (spoken and written); able to work effectively in global, cross-cultural teams
 </li>
 <li>
 Prior experience in
 
 education, internet, or technology sectors
 
 with knowledge of digital transformation
 </li>
 <li>
 Hands-on experience with
 
 AI tools and platforms
 
 , especially large language models (LLMs)
 </li>
 <li>
 Proven project management skills and experience in cross-functional collaboration
 </li>
 <li>
 Understanding of the
 
 Middle Eastern market
 
 and its cultural/business landscape
 </li>
 <li>
 Experience in
 
 training, education, or capability development programs
 
 is a plus
 </li>
 </ul>
 
 
 
 
 
 Added Advantages
 
 
 <ul>
 <li>
 Proficiency in
 
 N8N
 
 or similar
 
 no-code/low-code workflow platforms
 
 </li>
 <li>
 Familiarity with
 
 AI coding tools
 
 (e.g., GitHub Copilot, Codeium) for enhanced efficiency
 </li>
 <li>
 
 Basic Chinese language skills
 
 to support communication with China-based stakeholders
 </li>
 </ul>
 
 
</div>

Data Scientist - Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
 
 
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Oversee the design, development, and deployment of Machine Learning models and AI solutions.
 </li>
 <li>
 Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
 </li>
 <li>
 Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
 
 
 </li>
 </ul>
 
 Team Development
 
 
 
 <ul>
 <li>
 Provide mentorship and professional development opportunities to project and practice team members.
 </li>
 <li>
 Actively support in recruitment efforts to attract top talent and grow the team as needed.
 </li>
 <li>
 Help Foster a culture of learning and continuous development within the AI/Data Science team.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
 </li>
 <li>
 Proven track record of delivering AI/ML projects.
 </li>
 <li>
 Experience with Generative AI and Large Language Models is highly desirable
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
 </li>
 <li>
 Strong knowledge of Natural Language Processing (NLP) and AI ethics.
 
 
 </li>
 </ul>
 
 Leadership Skills
 
 
 
 <ul>
 <li>
 Leadership skills with the ability to inspire and motivate junior team members.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Very good communication skills, capable of conveying complex ideas to a variety of audiences.
 </li>
 <li>
 Proven ability to work collaboratively in projects with cross-functional teams.
 </li>
 <li>
 Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization....Less
 </li>
 </ul>
</div>

intella

<div>
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Research and apply the latest machine learning and NLP techniques to solve business problems
 </li>
 <li>
 Experiment with new technologies and create proof of concepts to guide design and architecture choices
 </li>
 <li>
 Design and implement machine learning and NLP models to solve complex business problems
 </li>
 <li>
 Being responsible for evaluating and producing robust and innovative machine learning models
 </li>
 <li>
 Work with large and complex data sets to extract insights and build predictive models
 </li>
 <li>
 Collaborate with cross-functional teams to identify business problems and develop solutions
 </li>
 <li>
 Work together with our engineering team to deploy and enhance the models at scale
 </li>
 <li>
 Develop and optimize machine learning algorithms and models for performance and scalability
 </li>
 <li>
 Build and maintain data pipelines for data preprocessing and model training
 </li>
 <li>
 Communicate technical concepts and solutions to non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements and Qualifications
 
 
 
 
 
 <ul>
 <li>
 Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field
 </li>
 <li>
 At least 5 years of experience in designing and implementing machine learning and NLP models
 </li>
 <li>
 Strong understanding of machine learning algorithms, techniques, and frameworks such as TensorFlow, PyTorch, and scikit-learn
 </li>
 <li>
 Confident Python developer and have strong skills into application best practices (code modularity, unit tests, documentation, etc.)
 </li>
 <li>
 Fluent in ML libraries like NumPy, Pandas, SciPy, Scikit-Learn and Pytorch
 </li>
 <li>
 Strong experience in packaging and delivering ML models in production
 </li>
 <li>
 Familiarity with NLP techniques such as text classification, named entity recognition, and sentiment analysis
 </li>
 <li>
 Experience with big data technologies such as Hadoop, Spark, and SQL
 </li>
 <li>
 Proficiency in Docker and advanced experience with DevOps tools
 </li>
 <li>
 Strong problem-solving and analytical skills Excellent written and verbal communication skills
 </li>
 <li>
 Ability to work independently and in a team environment Strong leadership and mentoring skills
 </li>
 </ul>
</div>

Artificial Intelligence and Machine Learning Engineer

Appgain

APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.Responsibilities:<ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul>Job Type: part-timeJob Type: Part-timeExpected hours: 20 per weekEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer: 3 years (Preferred)</li><li>machine learning algorithms : 3 years (Preferred)</li><li>big data technologies : 3 years (Preferred)</li></ul>

AI Engineer

akwad

<div>Job Overview: 
We are seeking a talented and experienced AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role focuses on the core ML lifecycle, from data handling and model development to deployment, optimization, and monitoring in production environments. The ideal candidate will be passionate about leveraging the latest advancements in AI, particularly in areas like Large Language Models (LLMs) and Natural Language Processing (NLP), to build intelligent systems that drive innovation and solve complex problems. 
Key Responsibilities:
<ul><li>
Design, build, train, and fine-tune various machine learning models, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP) models.
</li><li>Collaborate with data scientists and engineers to acquire, preprocess, and manage data required for model training and evaluation.
</li><li>Implement and utilize AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face transformers).
</li><li>Develop and implement APIs and integration points to make AI/ML models and services accessible to other engineering teams and systems.
</li><li>Deploy, manage, and monitor models and AI services in production environments, ensuring performance, scalability, and reliability.
</li><li>Utilize specialized AI development tools and frameworks such as LangChain, AutoGen, or other intelligent agent frameworks.
</li><li>Implement MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and retraining.
</li><li>Optimize models and inference pipelines for performance, efficiency, and cost-effectiveness.
</li><li>Stay updated with the latest research, techniques, and tools in the AI/ML field and propose new approaches.
</li><li>Collaborate effectively with product managers, data scientists, and other engineering teams (e.g., backend, frontend) to translate requirements into technical designs and integrate AI capabilities into products.
</li></ul>
Required Skills and Experience:
<ul><li>
4+ years of experience in a technical role with a strong focus on Machine Learning and AI development (ideally 2+ years dedicated AI/ML experience).
</li><li>Proficiency in Python and standard ML/AI libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
</li><li>Solid understanding of core Machine Learning concepts, algorithms, model evaluation techniques, and deployment strategies.
</li><li>Hands-on experience building, training, and deploying models, especially LLMs and NLP models.
</li><li>Experience working with LLM APIs (e.g., OpenAI, Anthropic) and relevant libraries/frameworks (e.g., Hugging Face transformers, LangChain, AutoGen).
</li><li>Familiarity with vector databases/stores (e.g., Pinecone, Weaviate, FAISS) and techniques like RAG (Retrieval Augmented Generation).
</li><li>Experience with model deployment tools and MLOps practices.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
</li><li>Understanding of API design principles for serving machine learning models.
</li><li>Strong problem-solving skills and ability to translate business problems into technical AI/ML solutions.
</li><li>Excellent communication and collaboration skills.
</li></ul>
Nice-to-Haves:
<ul><li>
Experience with specific cloud ML services (e.g., AWS SageMaker, Google AI Platform/Vertex AI, Azure ML).
</li><li>Knowledge of data engineering pipelines and ETL processes.
</li><li>Experience with distributed training frameworks.
</li><li>Contributions to open-source AI/ML projects.
</li><li>Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related quantitative field.</li></ul></div>

AI/ML Engineer

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

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