**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. - 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.mailto:?subject=Check%20this%20job%20out&body=Hey%20there%2C%0A%0AI%20just%20came%20across%20this%20job%20and%20thought%20you%20might%20find%20it%20interesting.%0A%0Ahttps%3A%2F%2Fwww.capgemini.com%2Feg-en%2Fjobs%2F506853-en_US%2Bsap_btp%0A%0ACheers!https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwww.capgemini.com%2Feg-en%2Fjobs%2F506853-en_US%2Bsap_btp&title=Check%20this%20out&summary=Cybersecurity%20Engineer%20%28UCF%29&source=