AI/ML & Data Science Engineer_Arabic_KSA
bTranz Riyadh, Riyadh Region, Saudi Arabia
IT Services and IT Consulting · 51-200 employees
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About the role
Develop and deploy machine learning, deep learning, and predictive models to support intelligent enterprise solutions. Collaborate with cross-functional teams to implement MLOps practices and integrate Generative AI and RAG-based applications.
What they look for
Requirements
Candidates must possess strong programming skills in Python and SQL with extensive practical experience in AI/ML development. The role requires between 4 to 10 years of experience depending on the specific seniority level.
Full description
Company Description
bTranz Software Solutions is an ERP and Mobile Application Development company, which offers a wide range of services across Oracle ERP, VAT and Cloud Services along with Mobile Application Development. With its presence in multiple countries, it offers its services across the globe with most of their customers reside in UAE and EAST African Countries. It’s a company professionally managed by team of highly experienced technocrats having over a decade of experience. Our innovative, qualified and experienced team brings together knowledge, experience and processes which enables us to deliver a solution which is the best value proposition for our customers. For more information please logon to https://www.btranz.com
Job Description
Experience Requirements:
- Senior Data Scientist: 8–10 Years
- Senior AI/ML Engineer: 8–10 Years
- Intermediate AI/ML Engineer: 4–6 Years
Job Description:
We are seeking AI/ML and Data Science professionals to develop, deploy, and optimize intelligent solutions, predictive models, and Generative AI applications. Candidates should have strong programming skills and practical experience delivering production-ready AI solutions.
Key Responsibilities:
- Develop machine learning, deep learning, statistical, and predictive models.
- Perform data preprocessing, feature engineering, model training, and evaluation.
- Design and implement NLP, Generative AI, LLM, and RAG-based solutions as required.
- Build scalable AI pipelines and integrate models into enterprise applications.
- Implement model deployment, monitoring, optimization, and MLOps practices.
- Collaborate with data engineers, architects, and business stakeholders.
Qualifications
Required Skills: Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Machine Learning, Deep Learning, NLP, LLMs, RAG, MLOps, and Cloud AI Services.
Additional Information
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