What Jobs are available for Deep Learning Frameworks in Bahrain?

• Conduct independent, high-impact research in Artificial Intelligence and related areas.
• Publish research findings in leading academic journals and present at international conferences.
• Develop and deliver engaging lectures and course materials for undergraduate and graduate students in AI, machine learning, deep learning, and related subjects.
• Supervise student research projects, theses, and dissertations.
• Mentor and advise students on academic and career paths.
• Contribute to curriculum development and departmental initiatives.
• Seek external funding to support research activities.
• Collaborate with faculty across different departments on interdisciplinary projects.
• Participate in faculty governance and committee work.
• Promote the university's commitment to academic excellence and innovation.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A strong record of scholarly publication in reputable journals and conferences.
• Demonstrated success in securing research grants and funding.
• Proven experience in teaching at the university level, with excellent pedagogical skills.
• Expertise in core AI concepts, including machine learning, deep learning, natural language processing, computer vision, or robotics.
• Ability to develop and teach a diverse range of AI courses.
• Excellent communication, presentation, and interpersonal skills.
• A commitment to fostering an inclusive and supportive learning environment.
• Experience in guiding student research is highly desirable.
• Postdoctoral research experience is a significant advantage.

• Lead and conduct cutting-edge research in AI/ML domains.
• Develop and implement novel algorithms and models.
• Design and execute experiments to validate research hypotheses.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to translate research into practical applications.
• Mentor and guide junior researchers and scientists.
• Stay abreast of the latest advancements and trends in AI research.
• Contribute to the strategic direction of the organization's AI initiatives.
• Present research findings and proposals to stakeholders and management.

• Ph.D. in Computer Science, AI, ML, Statistics, or a related quantitative field.
• 8+ years of post-doctoral research experience in AI/ML.
• Proven track record of significant research contributions (publications, patents).
• Deep expertise in areas such as deep learning, NLP, computer vision, etc.
• Strong programming skills in Python and deep learning frameworks.
• Experience with large-scale data and distributed computing is a plus.
• Excellent analytical, critical thinking, and communication skills.
• Ability to thrive in a hybrid work environment.

• Leading the design and execution of research projects on AI in education.
• Developing and testing AI models for personalized learning, intelligent tutoring systems, and educational analytics.
• Conducting rigorous empirical research, including qualitative and quantitative data analysis.
• Publishing research findings in leading academic journals and presenting at international conferences.
• Collaborating with cross-functional teams, including educators, software developers, and policymakers.
• Securing external funding through grant writing and proposals.
• Mentoring junior researchers and students.
• Contributing to the strategic direction of AI in education research initiatives.

• Ph.D. in Computer Science, Education Technology, Artificial Intelligence, or a related field.
• Minimum of 6 years of post-doctoral research experience in AI or educational technology.
• Demonstrated expertise in machine learning, natural language processing, or related AI fields.
• Experience with research methodologies relevant to education.
• Strong publication record in reputable venues.
• Proficiency in programming languages like Python.
• Excellent communication, collaboration, and project management skills.
• Experience working in a remote research environment.

• Conduct advanced research in artificial intelligence, with a focus on neural networks and deep learning.
• Design, implement, and test novel machine learning algorithms and models.
• Analyze and interpret complex datasets to extract meaningful insights.
• Develop and optimize AI systems for performance and scalability.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Publish research findings in top-tier conferences and journals.
• Stay current with the latest advancements in AI and machine learning research.
• Mentor junior researchers and contribute to the team's knowledge sharing.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of research experience in AI/ML, with a strong emphasis on neural networks.
• Proven track record of publications in leading AI conferences (NeurIPS, ICML, ICLR, etc.).
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, C++, or Java.
• Strong mathematical and statistical background.
• Excellent analytical, problem-solving, and critical-thinking skills.

• Lead the design, development, and implementation of advanced machine learning and deep learning models.
• Research and evaluate new AI technologies and methodologies to solve complex business problems.
• Develop scalable and efficient AI pipelines for data preprocessing, model training, and deployment.
• Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate AI solutions into products and services.
• Mentor and guide junior AI engineers and data scientists.
• Stay current with the latest research papers and industry trends in AI, ML, and DL.
• Optimize model performance, accuracy, and efficiency.
• Contribute to the technical roadmap and strategy for AI initiatives.
• Develop and maintain robust documentation for AI models and systems.
• Present technical findings and project progress to stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 6-8 years of hands-on experience in developing and deploying machine learning and deep learning models.
• Proficiency in programming languages such as Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of algorithms, data structures, and software engineering best practices.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and leadership abilities, with the capacity to mentor and guide a team.
• Proven ability to translate complex technical concepts into actionable insights.
• Experience in developing AI solutions for real-world applications.

• Lead the design, development, and deployment of advanced Machine Learning and Deep Learning models for complex business problems.
• Architect scalable and robust AI systems, from data pipelines and feature engineering to model training and inference.
• Conduct research into novel AI techniques and algorithms, assessing their applicability and potential impact.
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define AI strategy and roadmaps.
• Mentor and guide junior AI engineers, fostering technical growth and best practices within the team.
• Stay at the cutting edge of AI research and development, evaluating and integrating new tools and technologies.
• Ensure the ethical and responsible development and deployment of AI solutions.
• Optimize ML models for performance, efficiency, and scalability in production environments.
• Develop and maintain comprehensive documentation for AI models, algorithms, and systems.
• Present findings and technical insights to stakeholders at various levels of the organization.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of progressive experience in AI/ML engineering, with a significant focus on Deep Learning.
• Proven track record of successfully developing and deploying production-grade ML/DL models using frameworks such as TensorFlow, PyTorch, or Keras.
• Deep understanding of statistical modeling, algorithms, and data mining techniques.
• Expertise in areas such as natural language processing (NLP), computer vision, reinforcement learning, or predictive analytics.
• Proficiency in programming languages like Python and experience with relevant libraries (e.g., scikit-learn, Pandas, NumPy).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent leadership, communication, and collaboration abilities.
• Experience with MLOps principles and tools for managing the ML lifecycle is a plus.

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role, you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.

This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, ensuring secure, scalable, and compliant AI systems for government applications.

• Develop and optimize AI/ML pipelines for LLMs, focusing on RAG architectures, fine-tuning, and prompt engineering tailored for public sector needs.
• Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow, and cloud-based ML services (Azure ML preferred).
• Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production, ensuring adherence to government security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).

• 6-14 years of hands-on experience in AI/ML, with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
• Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
• Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow, model monitoring).
• Familiarity with vector databases, ETL pipelines, and unstructured data handling.
• Knowledge of government IT standards or secure deployments is a plus.

To be discussed