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Ai Engineer

Summary

Design and deploy AI models in Python/TensorFlow/PyTorch to solve business problems, then integrate them into production systems and monitor performance.

Ai Engineer at Datascience

About the role As an AI Engineer at Datascience, you will be at the forefront of developing innovative artificial intelligence solutions that drive business value and enhance user experience. This role requires a blend of technical expertise, creativity, and problem-solving skills to design, implement, and optimize AI models and algorithms. You will collaborate with cross-functional teams to identify opportunities for AI integration and contribute to the overall strategy of leveraging data-driven insights for decision-making. This position is based in the vibrant city of Dubai, where you will have the chance to work in a dynamic environment that fosters innovation and growth.

Key facts

  • Location: Dubai
  • Engagement: Full-time
  • Salary: Competitive, commensurate with experience
  • Visa: Sponsorship available for qualified candidates

What you'll do

  • Design and develop machine learning models to solve complex business problems, ensuring high performance and scalability.
  • Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and applications.
  • Conduct thorough data analysis to identify trends, patterns, and anomalies that can inform model development and optimization.
  • Implement algorithms and models using programming languages such as Python, R, or Java, ensuring code quality and maintainability.
  • Monitor and evaluate the performance of AI models in production, making necessary adjustments to improve accuracy and efficiency.
  • Stay updated with the latest advancements in AI and machine learning technologies, applying best practices to enhance the team's capabilities.
  • Participate in brainstorming sessions and workshops to generate innovative ideas for new AI applications and features.
  • Prepare comprehensive documentation for AI models, including design specifications, user guides, and performance metrics.
  • Collaborate with stakeholders to gather requirements and translate business needs into technical specifications for AI projects.
  • Provide technical support and training to team members and clients on AI tools and methodologies.
  • Engage in code reviews and contribute to the continuous improvement of development processes and practices.
  • Present findings and project updates to both technical and non-technical audiences, ensuring clarity and understanding of AI initiatives.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • A minimum of 3 years of experience in AI or machine learning engineering, with a proven track record of successful project delivery.
  • Proficiency in programming languages such as Python, R, or Java, along with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of machine learning algorithms, data structures, and statistical methods.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
  • Excellent problem-solving skills and the ability to work independently as well as part of a team.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • A passion for continuous learning and staying current with industry trends and advancements in AI technology.

Nice to have

  • Experience with natural language processing (NLP) or computer vision applications.
  • Knowledge of big data technologies such as Hadoop or Spark.
  • Familiarity with DevOps practices and tools for continuous integration and deployment.
  • Previous experience in a startup environment or fast-paced tech company.
  • Contributions to open-source AI projects or publications in relevant conferences/journals.

Skills & tools

  • Programming Languages: Python, R, Java
  • Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Data Visualization Tools: Matplotlib, Seaborn, Tableau
  • Cloud Platforms: AWS, Azure, Google Cloud
  • Version Control: Git
  • Development Methodologies: Agile, Scrum

Practical notes

This position is based in Dubai, a city known for its thriving tech scene and diverse culture. Candidates must be willing to relocate if not currently residing in the area.

The role offers opportunities for professional development and career advancement within a rapidly growing organization.

Datascience is committed to fostering an inclusive workplace and encourages applications from individuals of all backgrounds.

See also