דרושים » תוכנה » Staff Algo Data Engineer

Requirements:
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills in Java & Python
Experience with TensorFlow a big plus
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.
Bonus points if you have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

Requirements:
To thrive in this role, youll need:
Minimum 5 years of experience in a Data Engineering role, working with large scale data.
Excellent coding skills in Java and Python
Experience with Data orchestration tools such as Airflow, or similar.
Experience with designing, developing, maintaining scalable and efficient data pipelines & models.
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries.
Deep understanding of strong Computer Science fundamentals: object-oriented design and data structures systems.
Leading Skills Able to technically lead and mentor other team members on best practices
Strong self-learning capabilities
Excellent attention to details and the ability to remain organized
Strong communications skills, verbal and written
Ability to work in a dynamic environment, with a high level of agility to changing circumstances and priorities
Bonus points if you have:
Experience working in online businesses, especially online advertising, preferably ad-tech.

Requirements:
To thrive in this role, youll need:
Minimum 5 years of experience in a Data Engineering role, working with large scale data.
Excellent coding skills in Java and Python
Experience with Data orchestration tools such as Airflow, or similar.
Experience with designing, developing, maintaining scalable and efficient data pipelines & models.
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries.
Deep understanding of strong Computer Science fundamentals: object-oriented design and data structures systems.
Leading Skills Able to technically lead and mentor other team members on best practices
Strong self-learning capabilities
Excellent attention to details and the ability to remain organized
Strong communications skills, verbal and written
Ability to work in a dynamic environment, with a high level of agility to changing circumstances and priorities
Bonus points if you have:
Experience working in online businesses, especially online advertising, preferably ad-tech.

Requirements:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions
Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use cases
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
5+ years of hands-on experience as a Data Engineer, building and operating production-grade data systems.
3+ years of experience with Spark, SQL, Python, and orchestration tools like Airflow (or similar).
Degree in Computer Science, Engineering, or a related quantitative field.
Proven track record in designing and implementing high-scale ETL pipelines and real-time or batch data workflows.
Deep understanding of data lakehouse and warehouse architectures, dimensional modeling, and performance optimization.
Strong analytical thinking, debugging, and problem-solving skills in complex environments.
Familiarity with infrastructure as code, CI/CD pipelines, and building data-oriented microservices or APIs.
Enthusiasm for AI-driven developer tools such as Cursor.AI or GitHub Copilot.
Bonus points:
Hands-on experience with our stack: Databricks, Delta Lake, Kafka, Docker, Airflow, Terraform, and AWS.
Experience in building self-serve data platforms and improving developer experience across the organization.

Requirements:
3+ years of experience in data engineering, building and optimizing scalable data pipelines.
5+ years of experience as a software developer, preferably in Python.
Algorithmic experience, including developing and optimizing machine learning models and implementing advanced data algorithms.
Experience working with cloud ecosystems, preferably AWS (S3, Glue, EMR, Redshift, Athena) or comparable cloud environments (Azure/GCP).
Expertise in extracting, ingesting, and transforming large datasets efficiently.
Deep knowledge of big data platforms, such as Spark, Databricks, Elasticsearch, and Kafka for real-time data streaming.
(Nice-to-have) Hands-on experience working with Vector Databases and embedding techniques, with a focus on search, recommendations, and personalization.
AI-savvy: comfortable working with AI tools and staying ahead of emerging trends.

Requirements:
* B.Sc. in Computer Science, data Engineering, or a related field.
* 3+ years of hands-on experience in large-scale data infrastructures.
* Strong Python programming, with expertise in PySpark and Pandas.
* Deep knowledge of SQL and NoSQL databases, including performance optimization.
* Experience with ElasticSearch and AWS cloud services.
* Solid understanding of DevOps practices, Big Data tools, Git, and Jenkins.
* Familiarity with microservices and event-driven design.
* Strong problem-solving skills and a proactive, independent mindset. Advantages
* Experience with LangChain, ClickHouse, DynamoDB, Redis, and Apache Kafka.
* Knowledge of Metabase for data visualization.
* Experience with RESTful APIs and Node.js. Talent We Are Looking For Independent & Self-Driven Comfortable building from the ground up. Growth-Oriented Eager to develop professionally and take on leadership roles. Innovative Passionate about solving complex data challenges. Collaborative Strong communicator who works well with cross-functional teams. Adaptable Thrives in a fast-paced, dynamic environment with a can-do attitude. About the Company: Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With Appdome, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
2+ years of experience in a technical leadership role.
6+ years of experience with BE software development in one or more programming languages (e.g. Python, Go, Java).
Strong analytical and problem-solving skills with the ability to break down complex problems and design elegant, scalable solutions.
Strong background in algorithms, data structures, and performance optimization.
Experience with routing, pathfinding, and optimization algorithms
BSc. in Computer Science / Math or equivalent - Must
Experience with Go, React, AWS, Kubernetes - Advantage
M.Sc./PhD Computer Science / Mathematics / Physics or similar - Advantage.

Requirements:
Masters or Ph.D. in Computer Science, Electrical Engineering, Physics, or a related field.
6+ years of experience designing and implementing AI/DL algorithms, preferably with exposure to medical imaging or healthcare domains.
3+ years of experience leading algorithm teams, including mentoring, delivery ownership, cross-functional collaboration, and supporting the personal and professional growth of team members.
Proven track record of delivering AI projects to production, demonstrating real-world impact and commercial value.
Strong analytical and problem-solving skills, with the ability to support and unblock others when needed.
Excellent interpersonal and communication skills, including the ability to clearly articulate complex technical concepts to non-technical stakeholders.
Hands-on experience with Python and common AI/ML frameworks (e.g., PyTorch, TensorFlow).
Experience in computer vision and/or NLP is a strong advantage.
Strong team player with a growth mindset, high ownership, and the ability to thrive in a dynamic, fast-paced environment.
Prior experience in healthcare or regulated environments is a plus.

Requirements:
* B.Sc. in computer science/information systems engineering
* 5+ years of experience in data engineering (Preferably from a startup company)
* Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
* Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
* Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
* Coding experience with Python
* Experience with dashboard tools.
* Ability to communicate ideas and analyze results effectively, both verbally and in writing.

Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.