Senior Data Scientist - AI & ML Engineer
Envision Employment Solutions
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تفاصيل الوظيفة
Envision Employment Solutions is currently looking for a Senior Data Scientist - AI & ML Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services!
About:
The Senior Data Scientist - AI & ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.
Responsibilities:
AI & Machine Learning Development
• Design, develop, and deploy AI and machine learning solutions that address business needs.
• Build and implement Agentic AI applications using modern AI frameworks.
• Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Optimize models to improve accuracy, scalability, and performance in production environments.
• Implement model monitoring, drift detection, and retraining strategies.
Data Engineering & MLOps
• Design scalable data pipelines to support machine learning workloads.
• Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
• Develop and maintain ML-focused CI/CD pipelines.
• Implement model versioning, automated testing, and deployment best practices.
• Support containerized and cloud-native ML deployments.
Cloud & Solution Architecture
• Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
• Architect scalable infrastructure to support enterprise AI applications.
• Recommend technology solutions aligned with business and technical requirements.
• Ensure AI solutions meet security, reliability, and performance standards.
Collaboration & Leadership
• Partner with business stakeholders to understand objectives and translate them into technical solutions.
• Collaborate with cross-functional teams throughout the solution lifecy
About:
The Senior Data Scientist - AI & ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.
Responsibilities:
AI & Machine Learning Development
• Design, develop, and deploy AI and machine learning solutions that address business needs.
• Build and implement Agentic AI applications using modern AI frameworks.
• Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Optimize models to improve accuracy, scalability, and performance in production environments.
• Implement model monitoring, drift detection, and retraining strategies.
Data Engineering & MLOps
• Design scalable data pipelines to support machine learning workloads.
• Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
• Develop and maintain ML-focused CI/CD pipelines.
• Implement model versioning, automated testing, and deployment best practices.
• Support containerized and cloud-native ML deployments.
Cloud & Solution Architecture
• Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
• Architect scalable infrastructure to support enterprise AI applications.
• Recommend technology solutions aligned with business and technical requirements.
• Ensure AI solutions meet security, reliability, and performance standards.
Collaboration & Leadership
• Partner with business stakeholders to understand objectives and translate them into technical solutions.
• Collaborate with cross-functional teams throughout the solution lifecy