לוח משרות דרושים מתכנת Python בחיפה וסביבתה

Requirements:
2+ years in an DevOps Engineer role in high-tech
Experience maintaining and deploying highly-available, scalable, fault-tolerant systems
A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, etc)
Understanding of system administration in Linux environments
Practical experience with containers (Docker, Kubernetes)
AWS operations experience (e.g. IAM, EC2, VPC, ELB, EKS, Autoscaling)
Version control system experience (e.g. Git)
Experience implementing CI/CD
Experience with infrastructure-as-code (e.g. Terraform, CloudFormation)
Experience with MYSQL/AWS RDS

Requirements:
3 years of python backend programming experience.

Experience with Microservices architecture.

Experience in writing high-level and low-level specs.

Management / team leading experience an advantage.

Strong analytical and communication skills.

Management / team leading experience an advantage.

English high level skills.

Self-learning abilities.

Requirements:
M.Sc. or Ph.D. in CS, Electrical engineering, or related disciplines
3+ years of relevant experience (or equivalent research experience)
Excellent mathematical skills A must
Proficiency in Python
Experience with ML frameworks such as PyTorch and TensorFlow
Excellent communication and interpersonal skills
Collaborative working style, with good self-manage ability
Experience in Deep learning research and development
Experience in deployment and productization of ML algorithms An advantage

Requirements:
The basics:
2+ years experience building data pipelines from the ground up
Familiar with data operations
Experience supporting and working with algorithm and SW R&D teams
You have to own the following:
Good Linux orientation
Strong knowledge of Python
Deploying and maintaining CD/CI
Advantages:
Building data pipeline for visual content (images, video, lidar, inertial sensors)
DataBig data exploration of SQL and NoSQL databases
Front-end programming (react.js)
Bash, Jenkins, Docker

Requirements:
BSc. In Electrical Engineering or Computer Science from leading universities
At least three years of hands-on experience in Python/C++ coding a must
Experience developing time-sensitive pipelines
Advantage knowledge of either: OpenCV, Boost, CUDA, inference back-ends, etc
Experience working with Linux OS (user space)
Advantage Knowledge of CD/CI, git, and working in a SW team on multiple projects
High proficiency in English (work environment is in English)
Motivated, self-learner, and a team player
Problem solver with a can-do attitude

Requirements:
Degree in Electrical Engineering or Computer Science, Software Engineering or Equivalent
Proven relevant experience in scripting or automation
Excellent Python/C++ coding capability
Knowledge of Linux
Knowledge of Devops tools and flows
Understanding of test procedures and methodologies
Strong problem-solving, analytical, technical, and troubleshooting skills
High proficiency in English (work environment is in English)
Motivated, self-learner and a team player

Requirements:
* BSC/BA in Computer Science or software engineering.
* Minimum of 4 years of experience with excellent knowledge in Python and system -level programming.
* Experience working in a Linux environment.
* Familiarity with distributed systems and multi-threaded programming.
* Excellent verbal and written communication skills in both Hebrew and English. Advantageous Knowledge Areas:
*  Storage systems.
* Networking.
* Cloud environments.

Requirements:
* B.Sc. in Computer Science or other relevant engineering field
* 3+ years of experience in C++ and CMake
* 3+ years of experience in multi-threading, OOP (Object Oriented Programing)
* Experience in Linux systems Skills that are considered an advantage:
* Cuda / OpenCL
* OpenMP
* Python
* Docker
* CAN bus
* Distributed computing

Requirements:
* M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage
* A proven track record of at least 3 years hands-on experience in developing multi-object tracking algorithms, including tracking dynamic objects.
* Knowledge of state-of-the-art multi-object tracking algorithms and techniques used by the industry.
* In-depth understanding of Kalman filter and its applications for multi-object-tracking.
* Experience using neural networks.
* Proficiency in C++ and Python.
* Knowledge in Signal processing and estimation theory.
* Strong mathematical aptitude, with emphasis on probability, linear algebra, vector algebra, and geometry.
* Experience in conducting long-term development and/or research projects, in either academia or industry
* Proficiency in English, both written and spoken.
* Availability for a full-time position from Imagry’s office HQ in Haifa Skills that are considered an advantage:
* Experience/knowledge in computer vision and image manipulation algorithms – big advantage
* Knowledge and experience in deep learning
* Hands-on experience with deep learning frameworks such as PyTorch
* Relevant experience in the autonomous driving industry or associated domains.
* Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning.
* Experience with Linux.
* Source control with git.

Requirements:
A minimum of two years of relevant experience in DevOps or a related field is typically required.
A solid foundation in DevOps practices, tools, and workflows
Knowledge of Technologies:

Docker - Mandatory: Proficiency in operating and managing applications within a Docker environment, including understanding concepts such as images, containers, networks, and resource management.
Kubernetes - Mandatory: Proficiency in managing and operating a Kubernetes system for container management and automation. This includes familiarity with fundamental Kubernetes concepts such as pods, services, configuration, and monitoring.
Helm charts - Mandatory: Proficiency in creating, managing, and deploying Helm charts, which are popular tools for managing the installation of applications and services on Kubernetes.
Git - Mandatory: Proficiency in using and managing Git, including version control, branching, merging, and managing source code history.
Jenkins - Advantage: Knowledge of configuring, setting up, and managing Jenkins, a popular tool used for building and managing CI/CD pipelines and automation processes.
Groovy - Advantage: Proficiency in the Groovy programming language is an additional advantage, as the language is widely used for scripting and automation processes in the DevOps environment.
Scripting in Linux Environment - Mandatory: Proficiency in writing scripts in a Linux environment, which is essential for automating tasks and managing systems.
PowerShell - Advantage: Knowledge of PowerShell scripting is an additional advantage, as it is commonly used for automation and management tasks in Windows environments.
Knowledge of Programming Languages - Advantage: Proficiency in programming languages such as Python, C#, and JavaScript is an added advantage, as it allows for more versatility in developing automation scripts and customizing DevOps workflows.

Requirements:
* M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. - Advantage
* A proven track record of at least 3 years hands-on experience in developing multi-object tracking algorithms in computer vision, including tracking dynamic objects.
* Experience/knowledge in computer vision and image manipulation algorithms
* Knowledge of state-of-the-art multi-object tracking algorithms and techniques used by the industry in computer vision.
* In-depth understanding of Kalman filter and its applications for multi-object-tracking.
* Proficiency in C ++ and Python.
* Knowledge in Signal processing and estimation theory.
* Strong mathematical aptitude, with emphasis on probability, linear algebra, vector algebra, and geometry.
* Experience in conducting long-term development and/or research projects, in either academia or industry
* Proficiency in English, both written and spoken.
* Availability for a full-time position from Imagrys office HQ in Haifa
Skills that are considered an advantage:
* Knowledge and experience in deep learning
* Hands-on experience with deep learning frameworks such as PyTorch
* Relevant experience in the autonomous driving industry or associated domains.
* Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning.
* Experience with Linux.
* Source control with git.

Requirements:
PhD in biomedical/electrical/computer engineering or a related field
7 years of industry experience, and specifically experience in bioinformatics methods.
4 years of experience as a team leader - is required.
Experience in statistical methods; Bayesian background with emphasis on hierarchical modeling and mixed effect models is preferred.
Solid background in machine learning methods.
Solid background in signal processing.
Proficient in processing large datasets.
Team player, present capability working in a multi-disciplinary environment involving software engineers, physicists, algorithm engineers, and physicians.
Independent and capable of solving complex algorithmic problems with minimal guidance.
Knowledge in survival analysis
High level of proficiency in SQL, Python, and R.
Fluent in English (verbal and written) and have excellent communication skills
Responsible, detail-oriented, and creative with excellent organizational skills
Knowledge of clinical databases- advantage
Familiar with image processing methods - advantage

Requirements:
Ph.D. in computer science or biomedical/electrical/computer engineering

Knowledge:
At least 5 years of experience as an Algorithm engineer in the industry
Proficient in implementing computer vision and image processing algorithms.
Theoretical and hands-on experience in developing deep learning (4+ years) and other machine learning algorithms.
Strong scientific and mathematical background
Experience with medical image processing advantage
Experience in the regulation of AI-based medical software - advantage
High level of proficiency in Python.
Self-motivated, independent, team player, innovative, capable of learning and assimilating new technologies.
Capable of working in a multi-disciplinary environment involving software engineers, physicists, algorithm engineers and physicians.