לוח משרות דרושים מתכנת Python

Requirements:
Bachelors degree in Computer Science, Engineering, or a related field.
3+ years of experience as a Data Engineer or in a similar role.
Strong proficiency in Python and Bash scripting.
Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and understanding of cloud services and architecture.
Proven experience in designing and building data pipelines for computer vision projects.
Deep knowledge of both SQL and NoSQL databases.
Preferred Qualifications:
Familiarity with ML frameworks (e.g., PyTorch, Tensorflow).
Experience with Docker, Kubernetes, or other container orchestration technologies.
Certifications in cloud technologies and database management.

Requirements:
You’ll do it using: At least 5 years of proven experience working as a Manual QA with emphasis on the server side. Experience with writing Python scripts Strong background and understanding of the QA role and the SW development Lifecycle. Cloud knowledge (advantage to AWS: EC2, S3, ECS), Containers, Dockers, Linux (run and execute commands). Knowledge of Kubernetes - an advantage English proficiency Bachelor’s degree in a relevant field. Background in mathematics/statistics/economics – an advantage Experience in the insurance or banking industries - an advantage You’ll excel by: Demonstrating personal responsibility and commitment to ensuring the quality and reliability of our products through meticulous testing. Displaying a focused and dedicated approach to manual testing, striving for excellence in identifying and reporting bugs Exhibit a hard-working attitude and maintain a high level of productivity to meet project deadlines and quality standards Strong communication skills and ability to collaborate with cross-functional teams. Ability to work independently, prioritize tasks, and manage time effectively in a fast-paced agile environment An approach to complex problems and systems with enthusiasm and enjoying the challenge Excellent analytical and problem-solving skills with keen attention to detail Strong self-learning capabilities You’ll love it because: This is an incredibly impactful role in the organization You will have the opportunity to work in a successful, fast-moving, mission-driven company You will have autonomy and growth opportunities You will collaborate with other creative and enthusiastic team members

Requirements:
4+ years of experience working on backend systems
Excellent communication and collaboration skills
Highly independent, accountable and a team player
Experience with Python/Java/Node.js or any other modern language
Experience with developing highly available & scalable features over a distributed system
Experience developing a cloud-based system (AWS/GCP/Azure) is a plus
Experience working with serverless is a plus
Experience working with payment / billing systems is a plus

Requirements:
Minimum 3 years of professional experience in BI Development or Data Engineering roles
Demonstrated expertise in designing, constructing, and maintaining efficient data pipelines using DBT or Python
Design, build and optimize big data solution (GCP an advantage)
Advanced SQL skills are essential
Skilled in using Git
Strong ability to interpret data and convert it into actionable insights
Experience with data visualization tools (Tableau, Looker etc.)
Competency in Python programming is highly desirable
Exceptional analytical abilities, especially in extracting meaningful insights from large and complex datasets.
High level of English
An academic degree in a quantitative discipline - A plus

Requirements:
M.Sc or Ph.D. degree in a technical field from a top tier university or equivalent experience.
4+ years of experience in leading machine learning related projects (e.g. recommendation systems, search, natural language processing, large language models).
Experience with deploying machine learning models to production.
Python experience & SQL skills - a must.
Demonstrated ability to generate new ideas and innovate.
Research track record including main contributions to projects you can showcase, peer-reviewed research publications, etc.

Requirements:
Excellent students studying towards an M.Sc or Ph.D. degree in a technical field with focus on machine learning from a top tier university or equivalent experience*.
Strong coding skills in Python.
Strong applied math background.
Candidates should be prepared to work on an intensive research project during the internship period (3 months minimum).
Research experience and familiarity with the literature in one of the  areas of interest.

Requirements:
3+ years of experience working on backend systems.
Experience developing a cloud-based system (AWS or GCP)
Experience creating RESTful web services, understanding HTTP.
Experience with Python.
Experience with databases, preferably both SQL and NoSQL.
Experience with Docker and Kubernetes
Highly independent, accountable and a team player.

Requirements:
3+ years of experience as a data scientist in the industry, experience from b2c companies is a plus.
High communication skills, understanding business needs, and combining the business case into the data science area in order to leverage decision making.
Deep understanding of classical ML & DL algos for a wide spectrum of problems and domains. Time series modeling - must.
MSc or PhD in Computer Science, Data Science, Statistics or a related field.
Proven hands-on experience developing and researching algorithms in various fields and data science/machine learning techniques such as: boosting algorithms, time series models, clustering, anomaly detection methods, and more.
Proven experience in taking projects through all the stages of a new ML model, from data analysis and labeling to prototyping, implementation in a production environment, and monitoring and maintenance. Delivery oriented.
Proficiency with Python and SQL.

Requirements:
Proven work experience as a Back-end developer
3+ years of Python experience
Experience in building production-grade, cloud-native software (AWS preferred) with hands-on experience in cloud automation
Serverless experience preferred
Passionate about writing clean, maintainable code that will be used and modified by others, and able to use and modify other developers work rather than recreate it

Requirements:
Required Experience: Deep expertise in Python and Node.js Strong experience with RAG models and Real-Time AI applications. Vector and Graph databases such as Neo4J Proficiency in implementing Chain of Thought processes and Genetic Algorithms. Background in developing AI solutions for high-traffic, scalable environments.

Requirements:
2-5 years of experience as an analyst in a data-oriented environment
Excellent hands-on SQL skills
Familiarity with Python for data analysis
Advanced MS Excel capabilities
B.Sc in industrial engineering or related field
Highly proficient in English
Customer facing experience
Attention to details and accuracy while working in a high paced environment
Strong Team Player
Ability to work independently with good self-management capabilities

Requirements:
At least 5 years of experience as a DevOps Engineer in a cloud environments
Strong Solutions Architect experience with AWS, preferably AWS certified
Strong experience with Kubernetes, preferably with EKS
Strong experience with ARGO.
Strong experience with CI/CD automation preferably with Bitbucket and Jenkins
Passion for automation and great developer experience
Significant experience with scripting using Python or another programming in the area of DevOps
Understands APIs, microservices concepts
Strong understanding of Infrastructure As Code (IAC), preferably Terraform, and how we exercise that in AWS or any public cloud
Able to contribute beyond just coding /automation (code reviews, demos, proof of concept solutions)
Strong Linux Systems skills or working on Linux servers
Detail-oriented personality who does not lose sight of the big picture

Requirements:
Qualifications:
2+ Years of experience as a Data Scientist/Data Analyst.
Good coding skills in Python.
Excellent logical reasoning and problem-solving skills.
A university degree in technical discipline.
Interest in Data Science and Cyber Security.
A team player with great communication skills and drive for results.

Preferred qualifications:
Experience in Cyber Security (big plus!).
Experience with Big Data systems.
Azure Data Explorer, KQL.
C#.

Requirements:
Qualifications:
5+ Years of experience as a Software Engineer.
Excellent logical reasoning, problem solving and debugging skills.
A university degree in Computer Science or in a related technical discipline.
Experience with developing software in distributed, cloud-based systems.
Experience with Big Data systems, Data Pipelines and Reporting.
Experience with C#, Python, SQL, and other scripting languages.
Interest in Data Science and Cyber Security.
A team player with strong communication skills and drive for results.

Preferred qualifications:
Azure, Cosmos DB, Spark, AML, Azure Data Explorer, KQL.
Knowledge in ML and Data Science.
Knowledge in Cyber Security.