AI / ML Engineer
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Seeking a skilled AI and Machine Learning Engineer to design, develop, and optimize machine learning solutions with expertise in cloud platforms and MLOps practices.
Key Skills for This Role
Responsibilities
- Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
- Build and optimize end to end ML pipelines for data ingestion, model training, evaluation, and deployment
- Develop Generative AI and LLM powered applications using modern AI frameworks
- Collaborate with data engineers, software developers, and business stakeholders to deliver AI driven solutions
- Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
- Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
- Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
- Stay current with advancements in AI, machine learning, and cloud AI services
Requirements
- 3 11 years of professional experience in AI, Machine Learning, or Data Science
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
- Hands on experience with GCP Vertex AI, Azure Machine Learning, or AWS SageMaker
- Strong proficiency in Python
- Experience developing machine learning solutions using TensorFlow or PyTorch
- Experience with Hugging Face and LangChain for building LLM powered applications
- Experience with Databricks for data engineering, model development, and analytics workflows
- Experience deploying machine learning models into production
- Strong analytical, mathematical, and problem solving skills
- Experience working in Agile development environments
- Excellent communication and collaboration skills
Full Job Posting
Job Description
- Job Title: AI / ML Engineer
- Experience: 3 11 Years
- Location: Riyadh (Onsite)
- Employment Type: Full Time
- We are seeking a skilled AI / ML Engineer with 3 11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions.
- The ideal candidate will have hands on expertise in building scalable AI/ML models, working with cloud native AI platforms, and implementing production ready machine learning pipelines.
- Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
Key Responsibilities
- Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.
- Build and optimize end to end ML pipelines for data ingestion, model training, evaluation, and deployment.
- Develop Generative AI and LLM powered applications using modern AI frameworks.
- Collaborate with data engineers, software developers, and business stakeholders to deliver AI driven solutions.
- Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.
- Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.
- Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.
- Stay current with advancements in AI, machine learning, and cloud AI services.
Required Technical Skills
- Cloud AI Platforms: Hands on experience with GCP Vertex AI, Azure Machine Learning, or AWS SageMaker; experience with Azure OpenAI or AWS Bedrock for Generative AI; experience with BigQuery ML and Dataflow.
- Programming & Machine Learning: Strong proficiency in Python; experience developing ML solutions using TensorFlow or PyTorch; strong understanding of supervised, unsupervised, reinforcement learning, and deep learning.
- Generative AI & LLM Frameworks: Experience with Hugging Face and LangChain for building LLM powered applications; knowledge of prompt engineering, RAG, embeddings, and vector databases preferred.
- Data Engineering & Analytics: Experience with Databricks for data engineering, model development, and analytics workflows; strong understanding of data preprocessing, feature engineering, and large scale data processing.
- MLOps & Deployment: Experience deploying ML models into production; knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.
Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
- 3 11 years of professional experience in AI, Machine Learning, or Data Science.
- Strong analytical, mathematical, and problem solving skills.
- Experience working in Agile development environments.
- Excellent communication and collaboration skills.
Preferred Skills
- Experience with Large Language Models (LLMs) and Generative AI applications.
- Knowledge of Retrieval Augmented Generation (RAG), vector databases, and AI agents.
- Experience with distributed model training and cloud native AI architectures.
- Cloud certifications in AWS, Azure, or Google Cloud are a plus.
Key Technology Stack
- Cloud AI: GCP Vertex AI, Azure Machine Learning, or AWS SageMaker
- Generative AI: Azure OpenAI or AWS Bedrock, Large Language Models (LLMs)
- Data Processing: BigQuery ML, Dataflow, Databricks
- Programming: Python
- Machine Learning Frameworks: TensorFlow or PyTorch
- LLM Frameworks: Hugging Face or LangChain
- MLOps: Docker, Kubernetes, CI/CD (Preferred)
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Datamatics Technologies
ServiceNow GRC & SecOps Implementation
Riyadh, KSA
Datamatics Technologies seeks two ServiceNow Developers for a 6-month engagement in Riyadh, focusing on GRC and SecOps implementation. Candidates need at least 3 years of ServiceNow GRC experience and expertise in IRM, S
Data Platform Lead / Administrator (DevOps)
Riyadh, KSA
The company is seeking a Data Platform Lead / Administrator to design, manage, and optimize enterprise data platform infrastructure, ensuring availability, security, scalability, and performance. The role involves collab
Data Privacy Specialist
Riyadh, KSA
The company is seeking a Data Privacy Specialist to design, implement, and maintain the organization's Data Privacy framework, ensuring compliance with privacy laws and regulations. The role involves conducting privacy a
Data Management Specialist
Riyadh, KSA
Datamatics Technologies seeks a Data Management Specialist in Riyadh to implement and support enterprise Data Governance, Data Catalog, Metadata Management, and Data Quality solutions. The role requires 5+ years of hands
AI / ML Engineer
Riyadh, KSA
We are seeking AI / ML Engineers across multiple experience levels (T1 T5) to design, develop, train, deploy, and optimize machine learning models and AI solutions throughout th...
Data Scientist / Advanced Analytics Consultant
Riyadh, KSA
We are seeking Data Scientists and Advanced Analytics Consultants across multiple experience levels (T1 T5) to deliver advanced analytics, statistical modeling, machine learning...
MLOps Architect / Engineer
Riyadh, KSA
We are seeking an experienced MLOps Architect / Engineer to design, build, and operate enterprise-grade Machine Learning Operations (MLOps) platforms. The ideal candidate will d...
Solution Architect
Riyadh, KSA
Datamatics Technologies seeks an experienced Solution Architect with 10+ years in enterprise solution architecture, data platform engineering, and system integration. The role involves designing scalable, secure solution
ServiceNow GRC & SecOps Implementation
Riyadh, KSA
Data Platform Lead / Administrator (DevOps)
Riyadh, KSA
Data Privacy Specialist
Riyadh, KSA
Data Management Specialist
Riyadh, KSA
AI / ML Engineer
Riyadh, KSA
Data Scientist / Advanced Analytics Consultant
Riyadh, KSA
MLOps Architect / Engineer
Riyadh, KSA
Solution Architect
Riyadh, KSA