דרושים » תוכנה » MLops Engineer

As a Data Infra engineer, you will provide creative solutions for data-related problems at scale by mixing in-house and open source technology such as Kafka, Spark, Snowflake and more. You should be a Team player, a quick learner, and have a Can Do approach.



Responsibilities

Join a team of highly motivated developers to work together to fill At-Bays growing software and scaling needs
Writing well-tested, organized, and robust code to support a rapidly growing organization
Work in a modern software environment with continuously deployed and integrated code in our cloud-based infrastructure
Communicating and working openly with other developers to solve problems and produce high-quality code
Create, maintain and own the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at At-Bay
Consistently evolve data model & data schema based on business and engineering needs
Implement systems tracking data quality and consistency
Develop tools supporting self-service data pipeline management (ETL)
Work with stakeholders including ML Engineering, Product, Data analytics, Cyber Engineers, Risk teams and R&D teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Your number one vendor of autonomous driving software, is looking for a die-hard Simulation Engineer ready to take on a Manhattan-scale project under a tight schedule. If you're passionate about high-impact simulation infrastructure and thrive in fast-paced, innovative environments, we want to talk to you.
Responsibilities
Design and build scalable simulation infrastructure for testing autonomous driving systems
Collaborate closely with algorithm teams to create realistic and efficient simulation environments
Lead architectural decisions and own the design of core components
Tackle complex backend and cloud-native challenges from day one
Implement a CI/CD infrastructure to support slick and efficient versioning of all stack submodules from different AB teams
Integrate an external closed-loops simulation solution with our autonomous driving stack, work closely with external vendors.
Coordinate between Algo SW and Infra teams to provide fast scalable and consistent solutions.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

As a Senior MLOps Engineer , you will design, build and scale our machine learning infrastructure. You will lead the end to end model lifecycle, from data and training to deployment and monitoring, ensuring reliable and high performance ML systems in production. You will work closely with our research and engineering teams to bring advanced AI models into production and help shape the future of our AI capabilities.

The computer vision team is working to transform hematology into a big-data science, ultimately enabling better healthcare. We are seeking a senior research engineer to join us in making this revolution a reality.

Your responsibilities will include:
Contributing expertise to the team to extract maximum value from available visual data. Serving as a knowledgeable resource, capable of respectfully teaching and guiding others, while continuously learning and growing.
Researching and implementing AI technology, including deep learning and classical computer vision approaches. Designing and developing efficient, clear and production-ready Python code to ensure rapid and seamless product integration.
Actively participating in researching new directions: sharing ideas and best practices, defining data requirements, contributing to improving the team's internal research tools, and supporting other team members with their research efforts.

We are seeking a highly motivated and skilled Release Manager to join our AIOps group.
In this role, youll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how youll make an impact:
Manage a team of 3 release engineers.
Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

We are looking for a hands-on Tech Lead to join the Core Platform team within our ML. Our engineering teams build the foundational systems behind global artifact storage, replication, and distribution - and increasingly power the next generation of AI/ML operations and governance. Our platform is the backbone for ML workloads: managing model binaries, versioning, and scalable runtime environments for ML and AI applications. This role combines deep distributed systems with modern ML infrastructure challenges such as high-throughput inference, safe model rollouts, and multi-cloud GPU efficiency. You will also help evolve core libraries and developer-facing tools, including logging, observability, and visibility components.

As a senior technical leader, you will influence architecture across squads, lead complex development efforts, and remain heavily hands-on.

As a Tech Lead in Core Platform you will
Design and evolve components for managing and distributing ML/AI models and artifacts at scale.
Extend the platform to support reliable, high-performance inference and training workflows.
Lead cross-team technical initiatives and serve as a reference for distributed systems and ML infra design.
Write maintainable, high-quality code in performance-critical areas.
Mentor engineers and drive strong engineering practices.
Collaborate with adjacent teams to ensure seamless end-to-end ML platform behavior.
Improve the reliability, efficiency, and observability of core services.

We are looking for a Tech Lead, Infra.
What You'll Do:
Creating and deploying core software infrastructure components at scale.
Maintaining and enhancing our internal Typescript frameworks, tools, and platforms essential for product engineering teams throughout the software development lifecycle.
Introducing self-service deployment capabilities to empower R&D teams.
Advocating for and enforcing standards and best practices.
Leading and educating through knowledge sharing via documentation, knowledge-base articles, blogs, forums and presentations.
Addressing complex production issues and developing long-term solutions.
Contributing to the engineering and standardization of our CI/CD infrastructure.
Working closely with cross-functional teams to ensure the targeted availability, reliability, scalability, throughput and performance of our infrastructure while adhering to industry best practices and standards.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing.
You'll work hands-on across the stack of our AI features and have real impact on the products evolution.
Key responsibilities:
Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

We are looking for an experienced, passionate Senior Backend Engineer (Platform Team) to join our growing TLV R&D location. You'll be joining the backend group to help us expand our infrastructure and add new features to the company's core product.
As a Senior Backend Engineer in our platform team, You'll take part in our effort to improve our product, productivity, security and the ability to scale. Opportunity to make a significant impact by driving the technical direction of a high-growth company.
As a Senior Backend Engineer, you will:
Develop and maintain policies and procedures for software development, deployment, and maintenance. Monitor cloud environments using infrastructure as code methodologies
Work closely with other teams, such as development and operations, to ensure that our software applications meet the needs of the organization.
Participate actively in code reviews to uphold high standards of quality and maintainability in software development
Work collaboratively with product teams to design and implement new cloud services and workflows, contributing to the continuous improvement of our platform
Stay up-to-date with emerging trends and technologies in Cloud, and assess their potential impact on our organization