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.