AI / ML Engineer
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
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.
Key Skills for This Role
Responsibilities
- Design, develop, train, evaluate, and deploy machine learning and AI solutions
- Build scalable ML pipelines from data preparation through production deployment
- Develop supervised, unsupervised, deep learning, and generative AI models
- Perform feature engineering, data preprocessing, model validation, and hyperparameter optimization
- Integrate ML models into enterprise applications and cloud native environments
- Deploy AI models using managed cloud ML services and MLOps practices
- Monitor model performance, drift, accuracy, and production reliability
- Collaborate with Data Scientists, Data Engineers, Software Engineers, and DevOps teams
- Optimize model performance, scalability, and inference latency
- Document models, experiments, evaluation metrics, deployment processes, and governance standards
- Follow AI security, responsible AI, and model governance best practices
Requirements
- Experience in machine learning and AI development across multiple levels (T1 T5)
- Proficiency in Python and machine learning frameworks (TensorFlow or PyTorch)
- Experience with cloud AI platforms (GCP Vertex AI, Azure ML, or AWS SageMaker)
- Knowledge of Generative AI and LLM frameworks (HuggingFace or LangChain)
- Experience with Databricks
- Preferred certifications: Google Professional ML Engineer, AWS Certified ML Specialty, Azure AI Engineer Associate, or TensorFlow Developer Certificate
Full Job Posting
Role Overview
- 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 the complete machine learning lifecycle. Candidates will work on data preparation, feature engineering, model development, ev
Key Responsibilities
- Design, develop, train, evaluate, and deploy machine learning and AI solutions.
- Build scalable ML pipelines from data preparation through production deployment.
- Develop supervised, unsupervised, deep learning, and generative AI models.
- Perform feature engineering, data preprocessing, model validation, and hyperparameter optimization.
- Integrate ML models into enterprise applications and cloud native environments.
- Deploy AI models using managed cloud ML services and MLOps practices.
- Monitor model performance, drift, accuracy, and production reliability.
- Collaborate with Data Scientists, Data Engineers, Software Engineers, and DevOps teams.
- Optimize model performance, scalability, and inference latency.
- Document models, experiments, evaluation metrics, deployment processes, and governance standards.
- Follow AI security, responsible AI, and model governance best practices.
Required Technical Skills
- Cloud AI Platforms: GCP Vertex AI or BigQuery ML or Dataflow, Azure ML or Azure OpenAI, AWS SageMaker or Amazon Bedrock
- Programming: Python
- Machine Learning Frameworks: TensorFlow or PyTorch
- Generative AI & LLM Frameworks: HuggingFace or LangChain
- Data & Analytics: Databricks
- Additional Skills: Machine Learning, Deep Learning, NLP, Computer Vision, Model Evaluation, Feature Engineering, API Development, Git
Responsibilities by Tier
- T1 Associate AI / ML Engineer (0 2 Years): Assist in data preparation, develop simple models, support training/testing, deploy under guidance, maintain documentation, debug pipelines, learn cloud platforms.
- T2 AI / ML Engineer (2 4 Years): Build and deploy production ready models, perform feature engineering and optimization, develop reusable components and APIs, implement monitoring, integrate into applications, collaborate with teams.
- T3 Senior AI / ML Engineer (5 7 Years): Design end to end AI solutions, lead complex pipelines, optimize training, guide juniors, implement Responsible AI, improve reliability, collaborate with stakeholders.
- T4 Lead AI / ML Engineer (8 11 Years): Lead architecture and delivery of enterprise AI platforms, define standards, lead multiple initiatives, drive cloud native design, mentor teams, collaborate with architects and leaders.
- T5 Principal AI / ML Architect (12+ Years): Define enterprise AI strategy, own architecture decisions, lead transformation, establish governance, evaluate emerging tech, drive innovation, provide executive guidance.
Preferred Certifications
- One or more of the following certifications is highly preferred: Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate
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
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
Solution Architect
Dubai, UAE
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
Data Scientist / Advanced Analytics Consultant
Riyadh, KSA
MLOps Architect / Engineer
Riyadh, KSA
Solution Architect
Riyadh, KSA
Solution Architect
Dubai, UAE