לוח משרות דרושים בנתניה

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for an experienced analyst to join our growing FP&A team! This is a high impact role combining financial strategy, business partnering and data driven insights. The team collaborates across the organization to support informed decision-making and strategy execution. About the job Highly motivated, on-hands FP&A Analyst with 5+ years of experience seeking to leverage strong analytical and financial modeling skills to contribute to a dynamic team. Proven ability to manage multiple tasks, ensure data accuracy, and collaborate effectively to support strategic financial planning initiatives. This is a full-time position based in Natanya, Israel. Responsibilities
* Lead and coordinate Revenue forecasting, annual 5 five-year strategic plan and rolling forecasts
* Collaborate with Business Development & Strategy to integrate pipeline & bookings into actionable insights
* Build dynamic models to track bookings/Revenue growth
* Prepare and review of periodic P&L forecasts, budget controlling and monitor actual results against plan.
* Analyze financial performance, identify trends, and provide insights and recommendations to improve business results.
* Perform ad hoc financial analysis and reporting, as requested by management or business partners.

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our machine learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, machine learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: · Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. · Support reproducibility and consistency across model training environments. · Implement and manage Artifactory. · Establish and maintain model registries to track versions, metadata, and lineage. · Automate model promotion through staging, testing, and production environments. · Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. · Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments · Optimize GPU/CPU resource utilization and cost efficiency. · Implement auto-scaling and load balancing strategies for ML workloads. · Manage version control systems (e.g., Git) and integrate with experiment tracking tools. · Handle storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.