Senior Data Scientist - AI and ML - six months contract
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Key skills for this role
About the Role
Join an innovative team as a Senior Data Scientist on a six-month contract in Dubai. Design and implement scalable data science pipelines, build production-grade AI applications, and work across the full lifecycle of data science.
Key Skills for This Role
Responsibilities
- Design and implement scalable end to end data science and analytics pipelines
- Extract insights from both structured and unstructured datasets
- Develop robust evaluation frameworks to improve model performance and mitigate bias
- Build production grade AI applications
- Create monitoring and benchmarking processes
- Ensure consistent quality across deployed solutions
Requirements
- Strong expertise in Python
- Experience in machine learning, NLP, data analytics, and software engineering
- Proficiency with Pandas, NumPy, Scikit learn, LangChain, Transformers, FastAPI, SQL databases, and Git
- Exposure to MLOps, LLMOps, cloud platforms, containerisation, and scalable system architectures
- Experience with vector databases, semantic search, deep learning fine tuning, Nvidia Triton, Azure, Kubernetes, PySpark, and distributed computing frameworks
- Ability to deploy machine learning models into production environments
- Strong research background, advanced degree, or experience operating in client facing environments
Full Job Posting
About the Role
- Join an innovative team focused on turning cutting edge AI and machine learning research into production ready products.
- We are supporting a client of ours in this role, offering the opportunity to work across the full lifecycle of data science, from experimentation and model development to deployment, monitoring, and optimisation in real world environments.
Key Responsibilities
- Design and implement scalable end to end data science and analytics pipelines.
- Extract insights from both structured and unstructured datasets.
- Develop robust evaluation frameworks to improve model performance and mitigate bias.
- Build production grade AI applications.
- Create monitoring and benchmarking processes.
- Ensure consistent quality across deployed solutions.
Your Profile
- Strong expertise in Python.
- Experience in machine learning, NLP, data analytics, and software engineering.
- Proficiency with Pandas, NumPy, Scikit learn, LangChain, Transformers, FastAPI, SQL databases, and Git.
- Exposure to MLOps, LLMOps, cloud platforms, containerisation, and scalable system architectures.
- Experience with vector databases, semantic search, deep learning fine tuning, Nvidia Triton, Azure, Kubernetes, PySpark, and distributed computing frameworks.
- Ability to deploy machine learning models into production environments.
What's Offered
- Opportunity to work on challenging AI problems.
- Collaboration with experienced data scientists and engineers.
- Direct impact on the development of next generation intelligent products.
Ideal Candidate
- The ideal candidate will have a strong research background, an advanced degree, or experience operating in client facing environments.
- They will be motivated by the opportunity to contribute to innovative AI solutions and thrive in a dynamic, collaborative setting.
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