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.

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.