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
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Design, develop, and deploy AI and machine learning solutions that address business needs.
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Build and implement Agentic AI applications using modern AI frameworks.
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Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
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Optimize models to improve accuracy, scalability, and performance in production environments.
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Implement model monitoring, drift detection, and retraining strategies.
Data Engineering & MLOps
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Design scalable data pipelines to support machine learning workloads.
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Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
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Develop and maintain ML-focused CI/CD pipelines.
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Implement model versioning, automated testing, and deployment best practices.
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Support containerized and cloud-native ML deployments.
Cloud & Solution Architecture
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Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
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Architect scalable infrastructure to support enterprise AI applications.
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Recommend technology solutions aligned with business and technical requirements.
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Ensure AI solutions meet security, reliability, and performance standards.
Collaboration & Leadership
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Partner with business stakeholders to understand objectives and translate them into technical solutions.
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Collaborate with cross-functional teams throughout the solution lifecycle.
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Mentor junior data scientists and ML engineers.
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Promote best practices in machine learning, software engineering, and MLOps.
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Stay informed about emerging AI technologies and industry trends.
Requirements
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6-10 years of experience working with complex datasets and solving real-world business problems using AI
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Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
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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).
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Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
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Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
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Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
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Strong command of Git and collaborative development workflows.
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Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
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Fluent in Arabic & English, both spoken and written (German is a plus!)
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Able to listen to and understand customer needs and articulate them as technical requirements to the team.
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Strong problem-solving abilities and attention to detail.
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Strategic thinking with the ability to align data science initiatives with business objectives.
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Strong leadership and team management skills with the ability to inspire and motivate.
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Ability to work collaboratively in a team environment.