Senior Data Scientist
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
We are in search of a Senior Data Scientist boasting at least 3 years of expertise in the fields of Data Science and Machine Learning with a preference for individuals versed in NLP Generative AI Large Language Models (LLMs) MLOps optimization methods and AI solution design.
In this capacity your crucial contribution will be to the crafting and execution of AI solutions utilizing your advanced technical knowledge.
The successful applicant will possess a good comprehension of AI technology alongside a proven track record in the development and deployment of innovative AI models and systems.
Additionally proficiency in data engineering DevOps and MLOps methodologies will greatly benefit this position.
Key responsibilities :
Collaborating with client teams to design and implement Generative AI solutions leveraging Machine Learning and Generative AI technologies.
Establishing and advocating for best practices within the community.
Assessing and choosing the right AI tools and machine learning models for specific projects including the creation and training of these models with Python and other opensource platforms.
Engaging with leadership and key stakeholders to uncover AI opportunities and support strategic development.
Qualifications :
Hold a Bachelors or Masters degree in Computer Science Engineering or a similar discipline.
At least 3 years of professional experience in Data Science and Machine Learning.
Profound knowledge of machine learning deep learning and generative AI methodologies.
Experience and expertise in the domain of Generative AI.
Skilled in programming with languages like Python R and familiar with TensorFlow PyTorch or similar frameworks.
A solid grasp of NLP techniques and familiarity with BERT GPT or Transformer models.
Experience in computer vision for tasks such as image recognition object detection or image generation.
Practical experience with cloud services like Azure or AWS.
Good command of data engineering tasks such as data collection cleansing and preparation.
Awareness of ethical AI principles emphasizing the importance of fairness transparency and accountability in AI technologies.
Effective collaboration with software development and operational teams to ensure the smooth integration and deployment of AI technologies.
Exceptional problemsolving and analytical abilities capable of converting business needs into technical strategies.
Excellent communication and interpersonal skills able to work efficiently with team members and stakeholders at all levels.
Demonstrated ability to innovate and keep abreast of the latest trends and research in AI.
Implement ethical AI methodologies to guarantee fairness clarity and responsibility in AI models and frameworks.
Lead the adoption of DevOps and MLOps strategies encompassing ongoing integration deployment and surveillance of AI systems.
Employ technologies like Docker Kubernetes and Git for constructing and overseeing AI workflows.
Set up monitoring and logging mechanisms to maintain and verify the performance and dependability of AI models.
Work closely with software development and operational teams to ensure smooth integration and deployment of AI models.
Knowledgeable in DevOps and MLOps methodologies specifically in the areas of continuous integration deployment and monitoring of AI models.
Additional Information :
- This role necessitate mobility flexibility allowing individuals to work interchangeably between Tunis and Riyadh (Saudi Arabia).
Remote Work :
Yes
Employment Type :
Fulltime
نوع التوظيف
عن بُعد
