What we are looking for:

A smart product designer with a passion for taking complex challenges and turning them into delightful experiences to join us as our first in house designer.

Responsibilities:

• Create wireframes, interaction prototypes and designs from product requirements and concepts
• Collaborate with Frontend developers during hand-off, coding and testing
• Take initiative in identifying problems and opportunities to improve the product experience

Requirements:

• 3 years of design experience, out of which at least one year working on B2B SAAS product
• Bachelor's degree in a relevant field
• Proficient in Figma
• Fluent in English, both written and spoken
• Experience working on complex data rich products - an advantage

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Description:

We are looking for a talented ML engineer to join our core team, shape the roadmap and take a key role in the development and implementation of our core product and internal algorithms, working hand-in-hand with our first customers.

Required:

• 1+ years of hands-on experience in Python - Must
• 2-5 years of hands-on software development
• Hands on experience in developing using open source ML frameworks such as: scikit-learn, numpy, pandas, keras, tensorflow, pytorch
• Experience with git, dockers, kubernetes and other CI \ CD concepts 
• Experience in developing in cloud environments (GCP \ AWS preferred)
• Experience with linux based OS 
• Proficiency with SQL (RDBMS)
• Experience in developing high scale data stream pipelines and architectures to production
• Strong organizational, problem-solving and communication skills
• Team player, can-do attitude

Nice to have:

• Experience with common Python frameworks such as: Flask \ Django \ Celery
• Experience working with NoSQL DBs
• Experience in research for new ML \ DL algorithms
• Hands on experience with common big data frameworks such as: Kafka \ Spark \ Flink \ etc

Description:

We are looking for a talented Python developer to join our core team, shape the roadmap and take a key role in the development and implementation of our core product and internal algorithms, working hand-in-hand with our first customers.

Required:

• 1+ years of hands-on experience in Python - Must
• 2-5 years of hands-on experience with Python, Go, Java, Node.js or other modern programming languages
• Past experience in startup environment
• Proficiency with SQL (RDBMS)
• Experience with git, dockers, kubernetes and other CI \ CD concepts
• Experience in developing in cloud environments (GCP \ Aws preferred)
• Experience in developing high scale data stream pipelines and architectures to production
• Team player, can-do attitude
• Strong organizational, problem-solving and communication skills

Nice to have:

• Experience with common Python frameworks such as: Flask \ Django \ Celery
• Experience working with NoSQL DBs
• Experience with distributed architecture, micro services, message queues, REST API
• Frontend experience: (React, Vue, Angular)
• Knowledge with ML \ DL concepts and experience in developing using open source ML frameworks, such as: scikit-learn, pandas, keras, tensorflow, pytorch
• Hands on experience with common big data frameworks such as: Kafka \ Spark \ Flink \ etc

Description

We’re looking for an experienced data scientist with a strong background in modeling and model evaluation to help us develop and optimize our core algorithms for AI Assurance. Superwise’s solution offers practical capabilities to monitor ML models and gain insights into their behavior in a live production environment. Our mission is to help data science teams to scale their AI effectively. 

As a data scientist you’ll research and develop algorithmic solutions for complex, real-world problems in a wide variety of use cases like models performance management, optimization, concept drift and bias detection, explainability and more, across multiple industries (fintech, marketing, gaming, etc.). You may also take part in our thought leadership efforts by initiating and collaborating on pieces of content and other articles to help educate the data science and MLOps community.

Requirements

• M.Sc in a relevant (STEM or related) field with 3-5 years of hands-on experience, ideally in early stage startups or deep tech companies. 
• Deep understanding of algorithms, statistics and ML concepts and experience in solving a wide variety of ML tasks (classification, regression, ranking, clustering, anomaly detection, etc.) 
• Proficient with Python and ML\DL related packages (pandas, scikit, etc.). 
• Experienced in SQL
• Combination of strong research & engineering skills with problem-solving skills. Ability to perform fast algorithmic poc’s to test new features feasibility.  
• Good communication skills, ability to clearly explain complex concepts both in writing and orally.

Nice to have:

• Vast experience in time series anomaly detection – an advantage.
• Experience with ML explainability methods and strategies.
• Experience with maintaining  ML models in production and improving performance after deployment.

Description: 

We are looking for a talented full stack engineer to join our core team, shape the roadmap and take a key role in the development and implementation of our core product and internal algorithms, working hand-in-hand with our first customers. 

Required:

• 1+ years of hands-on experience in Python - Must 
• 1-2 years of hands-on Frontend MVC framework - Must
• 1+ year of hands-on experience in Vue.js or React.js
• 2-3 years of hands-on experience with Python, Go, Java, Node.js or other modern programming languages
• Past experience in startup environment
• Proficiency with SQL (RDBMS) 
• Experience in developing in cloud environments (GCP \ Aws preferred)
• Team player, can-do attitude
• Strong organizational, problem-solving and communication skills

Nice to have:

• Experience with common Python frameworks such as: Flask \ Django \ Celery
• Experience with distributed architecture, micro services, message queues, REST API

• Knowledge with ML \ DL concepts and experience in developing using open source ML frameworks, such as: scikit-learn, pandas, keras, tensorflow, pytorch - Big advantage