AI Engineer(5-7years)
5 days ago
About us:
The Xische Group has been working on strategic programs in the UAE for the past two decades. We focus on combining business acumen, creative designs, and cutting-edge engineering in high-performing squads. Today, we are partnering with leading governments and institutions to re-imagine and deliver the best citizen and business experience in the world (yes the world, this is the ambition).
Work Location: Dubai, United Arab Emirates
Responsibilities:
- Design, develop, and implement AI and machine learning algorithms and models to solve specific business problems.
- Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts, to understand the requirements and objectives of AI projects.
- Preprocess and clean data to ensure the quality and accuracy of datasets used for AI models.
- Train, evaluate, and optimize AI models to ensure their performance meets desired outcomes.
- Deploy AI models into production environments and integrate them with existing systems and applications.
- Monitor and maintain AI models in production, ensuring their performance remains optimal.
- Stay up-to-date with the latest AI/ML research, tools, and techniques to ensure the adoption of best practices.
- Provide technical guidance and expertise to team members and stakeholders.
Skills:
- Strong programming skills in languages such as Python, R, Fast API, Django.
- Proficiency in AI/ML frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
- Experience in delivering ML projects end to end with minimal supervision.
- Knowledge of LLMs such as OpenAI, Bard AI, Semantic search, and embeddings.
- Knowledge of data preprocessing techniques and tools, such as SQL, Hadoop, or Spark.
- Familiarity with cloud-based platforms and services, such as Azure, GCP.
- Good understanding of mathematical concepts, including linear algebra, probability, and statistics.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Qualifications:
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Relevant experience working with AI and machine learning algorithms and models.
- A strong portfolio or demonstrable experience in AI projects.
- Certifications in AI/ML technologies or platforms, such as Azure ML or Google Cloud AI Engineer, can be an added advantage.
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