דרושים בתחום תפקידים נוספים

The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing. Our work spans the company’s lines of business, with exceptional opportunities in each.

The successful candidate will develop new machine learning methods tailored to banking applications such as risk assessment, trading models, customer relationship management, and pricing models. Machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, maximum entropy models, and other algorithms related to time series analysis and supervised learning. In addition to using and adapting existing models, you will be expected to develop new techniques especially suited to banking applications. The candidate will help in the identification and solution of new problem areas.

Develop scalable tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions. Collaborate with all of JPMorgan Chase's lines of businesses, such as Investment Bank, Commercial Bank, and Asset Management.
Lead your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application.

MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science, or similar BS with 2+ years of experience in a highly quantitative position.
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
2+ years of hands-on experience developing machine learning models.
Ability to develop and debug in Python, Java, C or C++. Proficient in git version control. R and Matlab are also relevant.
Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
Familiarity with basic data table operations (SQL, Hive, etc.)

This position is for someone who can come in and lead AppCard’s Ops team. This person will help influence decisions and lead our entire tech stack on a day to day basis, craft AppCard operational procedures, roll-outs, and SLAs.
If it intrigues you to join a fast-paced startup, using cutting edge technology, then AppCard is the place for you!

Responsibilities:
- Build, rollout and maintain AppCard SLA and operational procedures.
- Collaborate and build strong working relations with all parts of the company.
- Manage AppCard Tiered Operations.
- Establish and lead all operational projects related to security, compliance with regulations and introduction of new tools and capabilities to the AppCard platform.
- Lead AppCard Linux / AWS and Operational IT activities.
- Take part in architecting and integrating auto-scale solutions.
- Improve company remote management and auto-deploy processes.

The DevOps engineer builds tools and critical infrastructures that support the ADM different services mainly in the public cloud. She is a key member of engineering group and aids in deploying shared tools and automation. She will also coach all engineers around automations and Devops. She also supports the already existent automation & deployment in production nowadays.

A typical day in your life in this role:

· You will work closely with other engineers and technical teams in deploying their daily operational support tasks and debugging production issues. The DevOps Engineer performs functions required for the deployment, configuration, support, and troubleshooting of issues with the ADM applications.
· You will regularly checks and monitors the application & automation alerts, diagnoses symptoms, analyses root causes, and deploy preventative measures to avoid reoccurrence of these issues. Operate and maintain services and software solutions.
· Coach other engineers around public cloud and automations.

· Bachelor in Computer Science / Computer Engineering preferred
· CI/CD knowledge (Jenkins, Linux, windows, networking knowledge) and experience working in CD environment (scripting).
· 3 years of previous experience in DevOps world (moving the business forward and giving it a stronger technological advantage).
· Work experience with AWS – A must.
· Work experience with Terraform.
· Experience/ knowledge in the following languages: Python/ Ansible- advantage

* Collecting, extracting, integrating, and analyzing large volume of data from different data

sources and formats
* Experience writing SQL queries to cleanse, harmonize, and analyzing data
* Verify and validate data accuracy to ensure data integrity
* Perform ad-hoc data analysis to help debug or improve existing products
* Participate in the brainstorming/review sessions of peer data-scientists work, and actively
contribute to discussions and propose ideas
* Develop a keen understanding of the business problems being solved and their relationship
to the datasets under analysis
* Analyze and interpret utilities program results

* SQL – high level
* Verify and validate data accuracy to ensure data integrity
* Experience with Google Analytics.
* Ability to quickly transform data in common formats like CSV, XML, JSON etc
* Experience with data visualization
* Fluent in data analysis using Excel
* Practical experience crunching large amount of data
* Strong communication and collaboration skills.
* Ability to produce clean documentation
* Experience with e-commerce database schema – advantage.
* Experience with Qlik Sense. – advantage
* Experience with Data from marketing platforms such as Facebook, IG, Google

Academic degree in Computer. Science/ software Engineering (BSc) or technical diploma.
Experience in development on top of force com platform.
Experience in Development in Web applications in either.NET, ASP, PHP, Javascript, JQuery, CSS, HTML, JSON is an advantage.
Proficiency in collaboration, conflict resolution, group interaction and dynamics.
ability to execute and deliver multiple tasks in a short time.

AT&T, the world's largest telecommunications company, is looking for an experienced DevOps engineer for the AT&T R&D Center in Israel.
As DevOps engineer, you’ll be part of a Scrum team.
The role includes:
v Design, build, and optimize CI/CD processes and Cloud based deployments
v Manage infrastructure as a code, Kubernetes Clusters and Cyber Security related tools.
v Work closely with the development team, as well as responsibility for coding the automation of deployment, monitoring and resiliency.

The position requires:
v 5+ years’ experience using and administering Linux
v Scripting: experience in at least with one scripting language
v Networking: strong understanding of L1-L7 concepts and implementation
v Experience and understanding HTTP/HTTPS protocol and methodology
v Must be able to operate independently and establish solid working relationships with peers
v Self-learning capabilities, team player and extreme passion for new technologies
v Experience in Jenkins, SCM tools, CI/CD pipelines
v Experience in at least one of the following container platform: Dockers, Kubernetes, ECS, AKS, EKS

Advantages:
v Experience in at least one private or public cloud provider
v Experience in Elastic Search, MongoDB, MySQL
v Bachelor’s degree
v Experience in security

A company that provides service assurance and customer experience management solutions for telecom operators and communications service providers are looking for System Administration with Open Stack.

Must Have:
- hands-on experience with and deep understanding of OpenStack.
- At least 3 years of Linux/Unix Administration
- Knowledge and experience in virtualization environments
- Experience with Docker / Kubernetes
Ramat Ahyal, TLV