Lead - Artificial Intelligence Specialist

Lead - Artificial Intelligence Specialist

Your area of responsibility:

Strategic AI Solutions:

- Proposing innovative solutions that align with business objectives.

- Developing and maintaining AI systems and applications, ensuring scalability, reliability, and performance.

Advanced Machine Learning:

- Leveraging your expertise in machine learning libraries, algorithms, and neural networks to create intelligent models.

- Implementing cutting-edge machine learning techniques for problem-solving and decision-making.

ML Ops and Full-Stack Data:

- Championing ML Ops practices, including model deployment, monitoring, and continuous improvement.

- Working within Azure cloud to build robust AI infrastructure.

- Handling large-scale data, from data modeling to interpretation, to extract valuable insights.

Generative AI and Natural Language Processing (NLP):

- Evaluating and implementing generative AI technologies, including LLM and multimodal tools.

- Applying NLP techniques for text understanding, sentiment analysis, and language generation.

Communication:

- Documenting and explaining AI solutions to non-technical stakeholders.

Continuous Learning:

- Staying up-to-date with the latest advancements and trends in AI, attending conferences, and contributing to the AI community.

Your profile:

Formal Education:

- Good to have: Master's degree in a relevant field (such as Computer Science, Data Science, Artificial Intelligence, Machine Learning, or Statistics).

Technical Skills:

- Mandatory: Proven experience (min. 7 years) as an AI Specialist or in a similar role.

- Mandatory: Strong understanding of data structures, data modeling, and software architecture.

- Mandatory: Proficiency in machine learning frameworks (such as Keras or PyTorch or TensorFlow) and libraries (like scikit-learn, Pandas and Numpy).

- Mandatory: Programming skills in Python.

- Mandatory: Very high proficiency with Azure (OpenAI Services, Synapse, Graph, Fabric, Custom Copilots,...)

Mandatory Keywords :

- Artificial Intelligence

- Machine Learning

- Neural Networks

- ML Ops

- Azure

- Python

- Data Modeling

- NLP (Natural Language Processing)

- Generative AI

Should-Have Keywords:

- Data Structures

- Software Architecture

- Keras/PyTorch/TensorFlow

- Scikit-learn/Pandas/Numpy

- Mathematical Competence

- Problem-Solving

Communication Skills