MLOps Engineer at Walmart Global Tech Israel

Walmart Global Tech’s presence in Israel has grown over the past few years with 3 acquisitions to date, all develop using industry leading technologies.

Zeekit and Memomi, both develop deep technologies such as AR, image processing, computer vision, deep learning, and artificial intelligence to accelerate customer-experience innovation.

We are currently seeking an experienced MLOps Engineer to join our Tel Aviv Global Tech team.

Key responsibilities:

• Be a part of a vibrant team of Data Scientists and ML Engineers
• Be expected to help architect, code, optimize, and deploy ML models at scale using the latest industry tools and techniques
• Help automate, deliver, monitor, and improve ML solutions.
• Design and build systems which improve machine learning scalability, usability, and performance.
• Work cross functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms.
• Effectively communicate results to peers and leaders.
• Explore the state-of-the-art technologies and apply them to deliver benefits.
• Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines

Requirements:

• 5+ years of experience in MLOps & DevOps roles.
• DevOps concepts (CI/CD)
• Software container technology (Docker, Kubernetes)
• Cloud technologies: GCP: storage, messaging, ML tools, KV storage networking
• Proven design and implementation experience in building complex ML pipelines
• Languages: Java and Python
• Software architecture patterns: microservices, CQRS, event sourcing.
• Computer science fundamentals: Data structures, algorithms, performance complexity, and implications of computer architecture on software performance, e.g. I/O and memory tuning
• Software engineering fundamentals: SOLID, TDD, version control systems (Git, Github) and workflows, and ability to write production-ready code.
• Knowledge of Machine Learning or Data Science languages, tools, and frameworks: SQL, SkLearn, NLTK, Numpy, Pandas, TensorFlow, Keras.
• Machine learning techniques (classification, regression, and clustering) and principles (training, validation, and testing)
• Data Processing tools: stream processing; Distributed computing systems and related technologies: Spark, Hive, or Flink.
• MLOps tools such as Vertex AI, Element, Alike..

Scope: Full time

Location: Tel Aviv

Workplace type: Hybrid