Senior Payroll Specialist

Sé de los primeros solicitantes.
Lexidy
Las Palmas de Gran Canaria
EUR 30.000 - 50.000
Sé de los primeros solicitantes.
Hace 4 días
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Vicepresidente Senior Ejecutivo • Las Palmas de Gran Canaria

Senior AI Engineer

Position Overview : As a Senior AI Engineer, you will lead the design, development, and deployment of advanced AI models and algorithms. Collaborating with cross-functional teams, you will create AI-driven solutions that address complex challenges and drive business value. Your expertise will be pivotal in shaping our AI strategy and mentoring junior engineers.

Key Responsibilities :

  • AI Solution Development: Design and implement state-of-the-art AI models, particularly in areas such as Natural Language Processing (NLP), Computer Vision, and predictive analytics.
  • Algorithm Innovation: Develop and refine machine learning and deep learning algorithms to solve complex problems.
  • Model Training and Evaluation: Train, test, and validate AI models using large-scale datasets, ensuring high performance and accuracy.
  • Deployment and Integration: Deploy AI models into production environments, ensuring seamless integration with existing systems.
  • Performance Optimization: Enhance the efficiency and scalability of AI models and systems.
  • Collaboration: Work closely with data scientists, software engineers, and product managers to align AI initiatives with business objectives.
  • Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation.
  • Research and Development: Stay abreast of the latest AI trends and technologies, integrating relevant advancements into projects.

Qualifications :

  • Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Experience: 5+ years in AI engineering, with a proven track record in developing and deploying AI solutions.
  • Technical Proficiency: Strong programming skills in languages such as Python, Java, or C++. Experience with AI frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
  • Domain Expertise: Deep understanding of machine learning and deep learning algorithms, including neural networks, reinforcement learning, and natural language processing.
  • Cloud Platforms: Experience with cloud services such as AWS, Azure, or Google Cloud Platform.
  • Problem-Solving Skills: Strong analytical abilities with a knack for tackling complex AI challenges.
  • Communication Skills: Ability to articulate complex technical concepts to both technical and non-technical stakeholders effectively.
  • Team Orientation: Proven ability to work collaboratively in a multidisciplinary team environment.
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