דרושים » הנדסה » Data & AI Engineer

Were looking for a Senior AI Engineer to join our team and help build cutting-edge solutions at the intersection of Generative AI, traditional Machine Learning, and software engineering. This is an exciting opportunity to work on transformative projects that shape the future of intelligent systems.
What Youll Do:
Design, develop and deploy Generative AI systems, including LLM-based pipelines, multi-agent systems, and retrieval-augmented generation (RAG).
Design, develop and deploy Generative AI and ML pipelines for tasks like classification, clustering, ranking, and recommendation.
Lead experiments and evaluate models using appropriate benchmarks and metrics.
Collaborate cross-functionally with product and other R&D teams to bring intelligent features into real-world applications.
Write clean, efficient, and well-tested Python code to support experimentation, training, and production use.
Contribute to engineering best practices and knowledge sharing.

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: Is my data safe?
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
Push boundaries by pioneering new technologies and stretching existing ones to their limitsbe a trailblazer in data innovation.
Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.

As a Senior Data Engineer within our development team, you will play an important role in design, implementation, and ongoing performance optimization of anything data oriented in the R&D department, including ETL/ELT processes, working closely with architects and development teams.

Your duties and responsibilities include:
Lead the design and implementation of scalable data architecture solutions.
Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).
Identify ways to improve data reliability, efficiency, and quality.
Collaborate with data scientists, data analysts, and other stakeholders to achieve optimal data performance.
Optimize complex SQL queries and perform performance tuning.
Participate in Scrum and Agile development processes.
Implement and manage relational and non-relational databases.

At CodeValue , we specialize in delivering cutting-edge software solutions and driving innovation across industries. We are now looking for a Data Engineer to join our team and play a key role in building and optimizing large-scale Big Data systems in production environments.
Key Responsibilities
* Design, implement, and maintain Big Data pipelines in production.
* Work extensively with Apache Spark (2.x and above) , focusing on complex joins, shuffle optimization, and performance improvements at scale.
* Integrate Spark with relational databases, NoSQL systems, cloud storage, and streaming platforms
* Contribute to system architecture and ensure scalability, reliability, and efficiency in data processing workflows.

Were looking for an Analytics & BI Engineer to join our growing data team. This role is perfect for someone who thrives at the intersection of business insight and technical execution. Youll play a key role in uncovering data-driven insights, developing impactful dashboards, contributing to our ETL/ELT processes, and working with Snowflake as our core data warehouse.

Youll collaborate closely with stakeholders across Product, Management, and Data Science to understand business needs and deliver scalable data solutions that drive decision-making.

Responsibilities
Conduct deep-dive analyses to identify trends, anomalies, and actionable business insights
Translate complex business questions into clear analytical approaches and measurable metrics
Design, build, and maintain BI tools, dashboards, and data models using platforms such as Looker, Tableau, or Power BI
Write advanced SQL and Python to query, analyze, and transform large datasets
Partner with stakeholders to define KPIs, track performance, and support strategic initiatives
Work with Snowflake as our primary data warehouse for scalable data management
Contribute to the development and maintenance of ETL/ELT pipelines, ensuring data accuracy, consistency, and availability