Senior Data Scientist - AI & ML Engineer

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.

Requirements

• 6-10 years of experience working with complex datasets and solving real-world business problems using AI
• Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
• Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
• Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
• Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
• Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
• Strong command of Git and collaborative development workflows.
• Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
• Fluent in Arabic & English, both spoken and written (German is a plus!)
• Able to listen to and understand customer needs and articulate them as technical requirements to the team.
• Strong problem-solving abilities and attention to detail.
• Strategic thinking with the ability to align data science initiatives with business objectives.
• Strong leadership and team management skills with the ability to inspire and motivate.
• Ability to work collaboratively in a team environment.
• Self-motivated with a strong growth mindset.