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Senior Data Scientist - AI & ML Engineer

9 days ago 2026/11/06 ·Application closes in 110 days
Other Business Support Services
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Job description

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 lifecycle.
  • Mentor junior data scientists and ML engineers.
  • Promote best practices in machine learning, software engineering, and MLOps.
  • Stay informed about emerging AI technologies and industry trends.
This job post has been translated by AI and may contain minor differences or errors.
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