Senior ML Engineer - Applied AI Engineering Group at Zeichman Mfg Inc

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Pipelines, Model Training, Experimentation, Model Evaluation, Deployment, Python, Distributed Training, Feature Engineering, Monitoring, Kubernetes, GPU Acceleration, Performance Optimization, Statistics, Data Analysis, ML Lifecycle Management

Industry

Computer and Network Security

Description

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; it’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together. Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity. At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers. The Dream Job It starts with you - a senior ML engineer responsible for building, training, evaluating, and operating machine learning systems in production. The role focuses on data pipelines, model training, experimentation, evaluation, and scalable deployment. If you want to grow your skills building AI products for mission-critical AI, join Dream’s mission - this role is for you. The Dream-Maker Responsibilities Design, train, and evaluate ML models for production use. Build and maintain data pipelines for training, validation, and inference. Own experimentation workflows: feature engineering, training runs, and comparison. Implement model evals, monitoring, and drift detection. Package and deploy models to production systems. Optimize training and inference performance, cost, and reliability. Collaborate with data, platform, and product teams. Mentor engineers and promote ML engineering best practices. The Dream Skill Set 4+ years software engineering experience with 2+ years applied ML in production. Strong foundations in machine learning, statistics, and data analysis. Hands-on experience with model training frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed training and large-scale datasets. Experience building data pipelines, feature engineering, and dataset versioning. Proven experience designing and operating ML evals, experiment tracking, and monitoring. Familiarity with feature stores, model registries, and ML lifecycle management. Experience with model serving patterns and production deployment. Proficiency in Python and strong system design skills. Experience deploying ML systems on Kubernetes or similar platforms. Familiarity with GPU acceleration and performance optimization Never Stop Dreaming... If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you! Requirements null

Responsibilities

The senior ML engineer will design, train, evaluate, and operate machine learning systems in production, focusing on data pipelines and scalable deployment. Responsibilities also include optimizing performance and collaborating with various teams.