לוח משרות דרושים מתכנת Python

Data Integrity group is at the forefront of real-time analytics, using machine learning and artificial intelligence to balance low latency and impeccable data accuracy.

Responsibilities:

Lead the development and deployment of advanced analytical models to solve complex problems, leveraging advanced statistical techniques.
Design and develop NLP models for tasks such as Named Entity Recognition, Classification, Text Similarity, Clustering and other tasks.
Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.
Analyze large and complex data sets, applying mathematical theories and statistical methods, to produce actionable insights.
Stay current with emerging trends in data science and statistics and evaluate their applicability to business problems.
**It is possible to work from the offices in Ramat Gan and Ashkelon**

Lead and manage the DevOps team in designing, implementing, and maintaining CI/CD pipelines, automation frameworks, and infrastructure-as-code solutions.
Collaborate closely with software development, QA, and other departments to integrate DevOps practices into the entire software development lifecycle.
Oversee system monitoring, incident management, and troubleshooting efforts to ensure optimal system reliability and performance.
Drive initiatives to enhance DevOps capabilities through tooling, automation, and best practices.
Act as the key point of contact for DevOps-related issues, both internally and externally, while mentoring junior team members.

The Visual Livescore group is at the forefront of revolutionizing live sports data, leveraging cutting-edge computer vision techniques to deliver unparalleled real-time live-score events with unmatched accuracy and reliability.

Responsibilities:

Lead the design and implementation of Deep Learning techniques in Video stream analysis
Collaborate closely with data scientists and domain experts to operationalize machine learning models into production.
Mentor junior engineers and provide technical guidance in machine learning best practices.
Conduct research to keep abreast of the latest advancements in machine learning and artificial intelligence.
Evaluate the effectiveness of machine learning models through comprehensive validation metrics and make iterative improvements.

We are Tailor Brands . We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience; we’re simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
Our team | Our core | Our dream fulfillers When we started Tailor Brands, we wanted to help people accelerate their growth and fulfill their dreams. This also defines us internally; we put our focus on maximizing individual impact and creating an environment of absolute transparency.
About the role Our developers – who work with full CI / CD – are constantly in the blast radius, in that they have end-to-end ownership over every project they take on. We walk every day into our workspace to inspire those around us to do what inspires them. Our goal is to make something beautiful every day, in design, in code, and in our products. As a hands-on Fullstack Tech Lead you will take an active role in defining our technological strategy, standards, and knowledge sharing practices. You will actively develop major features and cross-department projects creating exponential impact with your work. By taking part in our vision you will
* Explore new technologies and approaches to improve the quality and velocity of our delivery.
* Set standards and teach them to the rest of the team.
* Mentor Senior engineers on their path to their next position.
* Collaborate together with product managers, designers, and fellow engineers to bring ideas to life
* Build a modern next-generation web application with a focus on user experience and scale.
* Create efficient and reusable front-end abstractions and systems.
* Craft secure, scalable, and easily maintainable backend services.
* Design and architect solutions, implement the solutions you’ve conceived, and participate in monitoring, scaling, and maintaining them.
* Perform Code Reviews for other team members.
* Promote best practices around backend and frontend development.
* Champion modern technologies and approaches in software development, deployment, and monitoring.

As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis,product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment.

Responsibilities
Deploying AI modules to production:

Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Deploy, configure, and implement hundreds of AI modules yearly using our orchestration mechanisms.
Design scalable deployment methodologies for new AI products
Address complex challenges associated with data in operational production environments, such as data quality, availability, and integration.
Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed.
Maintain our AI solutions in top performance:

Become a crucial part of our Ops team and work in a live operational environment, finding real-time solutions to complex problems.
Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors.
Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time.
Design new monitoring solutions and metrics to address production issues, data drifts, and performance degradation.
Investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent reoccurrence
Tool Development:

Develop tools and scripts to support data analysts and ensure efficient data processing and analysis.
Visualize data in informative and to the point visualizations.
Automate tasks related to AI deployment, data validation, and reporting.

We're on the lookout for a Principal Full-Stack Engineer
Responsibilities
Lead Full-Stack Project Development: Spearheaded a high-impact project, overseeing all technical stages from initial design to final deployment. This includes crafting user interfaces with modern frameworks and backend system architecture.
Implement Web Applications: Utilize ReactJS, VueJS, or AngularJS alongside HTML and CSS to ensure seamless user experiences.
Develop Scalable Backend Systems: Build distributed, scalable backend solutions, optimizing for performance and reliability. Incorporate AWS cloud services, focusing on serverless architectures for efficiency and scalability.
Incorporate Best Practices: Champion code quality, CI/CD processes, and agile methodologies to enhance team excellence and product reliability.
Strategic Collaboration and Influence: Engage with a diverse array of stakeholders including users from different backgrounds, development teams, product managers, and project managers. Tailor development efforts to meet a wide range of user needs and business objectives, leveraging your technical expertise to influence product direction and strategy effectively.
Cost-Effective Design and Development: Strategize development and infrastructure design with an emphasis on cost efficiency, understanding the pricing and operational costs, and planning for sustainable growth.

Our team develop cutting-edge solutions that transform medical imaging. You will play a crucial role in designing, implementing, and optimizing algorithms that improve healthcare.

Responsibilities
Design, develop, and implement efficient and robust AI algorithms for medical data analysis.
Collaborate with data scientists and software engineers to integrate algorithms into clinical workflows.
Conduct research and experimentation to improve algorithm performance and accuracy.
Stay up-to-date on the latest advancements in AI and machine learning, particularly in the medical domain.

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.

We are looking for a DevOps TL to join our DevOps team.
The perfect candidate will be a team player with a high level of professionalism and knowledge in DevOps technologies, with a leadership background.
IN THIS POSITION YOU WILL:
Provide architectural solutions for complex infrastructure requirements involving large-scale systems and rapid growth
Define and manage the automated production process
Take ownership of technical issues and work with our development group to resolve advanced issues and bugs

We are looking for a talented Automation engineer to join our team.
As an Automation Engineer, you will be responsible for performance, system, and correctness tests for all products in the company with rich technology stuck.
You will work closely with other automation and QA engineers, developers, product managers, and support to design and implement automation tests. You will also participate in code reviews and provide feedback on performance-related issues.
What youll do:
Enhance and maintain automation tests and infrastructure
Constantly increase automation test scenario coverage
Execute test automation scenarios and analyze the results
Collaborate closely with colleagues across all company departments
Participate in code reviews and provide feedback on performance-related issues
Stay up-to-date with industry trends and best practices in automation testing.

We are looking for Backend Developer to join our team in the world of fintech solutions. As a Backend Developer, you will play a key role in the enhancement and development of new features and services, working with advanced technologies and tools.
This role is ideal for a talented developer passionate about implementing advanced data science practices, modeling, machine learning, and algorithms.

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software life cycle processes, and 24/7/365 production reliability routines. You will be promoting and collaborating in a DevOps environment, where you will work closely with software architects, developers, and support engineers, to define infrastructure as code.
What youll do:
Identify needs, integrate, and adapt new cloud technologies
Take responsibility for the availability and reliability of our services
Take responsibility for CI/CD processes and tools
Develop and maintain the platform & automation

We are looking for a Full Stack Developer with Machine Learning Experience to join our A2A (Algorithm 2 Application) team in the data science group.
As a Full stack in this team, you will play a key role in taking complex machine learning models and connecting them to a working app using Full-stack Python abilities.
This role is ideal for a skilled and experienced individual passionate about software development, machine learning, and MLOps.