Startup
Data Engineer
Trax is looking for a Data Engineer to join its Digitization data science team. This person will be extending our existing data teams and work with our Data Scientists, and Data Analysts on building data pipelines, customized reports and improving our data platforms. They will act as a key enabler of ML / statistical models, AI modules and advanced analysis over our production environment.
Responsibilities:
- Design, build and deploy complex data pipelines, moving and manipulating Trax’ data.
- Scrape and ETL data from different internal systems into our data platforms.
- Shorten time to value of new modules by taking ownership of their productization process. Integrate and deploy these within the Trax environment.
- Re-design or re-implement existing data driven modules to improve performance while leveraging most suitable technology.
- Identify new and emerging technologies that may drive efficiency and introduce these to relevant architecture, research and development teams.
Requirements:
- Ability to communicate and work with multiple interfaces with different roles
- 2+ years of experience with server side and microservice development
- 3+ years hands on experience with python, SQL and NoSQL, code deployment and version control
- Thorough understanding of software engineering principals
- Good familiarity with Spark, Scala, Linux power tools (bash, sed, awk, etc) – an advantage
- Client-Side development – an advantage
- B.Sc/M.Sc in Computer Science or Software Engineering
The company employs a team of 40 people.
We are looking to hire an experienced Big Data developer / Data Scientist for the algorithm team.
The position will combine development from scratch in the field of big data , along with data science tasks in the field of NLP.
If you have passion for data, experience with Python, willing to be part of algorithm team – We can offer you great opportunity .
Requirements:
B.Sc/M.Sc in Computer Science, Mathematics, Engineering or related field
4+ years of programming experience with Python – must
Experience with building scalable, high-performance, data-oriented systems
Experience working with MongoDB and/or Cassandra
Experience working with Spark
Advantages:
Working with Data science libraries: Pandas, NumPy
Experience working with Scala
Experience in Data Science and Machine Learning techniques (NLP)
Senior Algorithm Engineer
SeeTrue is a leader in modern computer vision (CV) and machine learning (ML) practices.
The Algorithms team is in charge of creating cutting edge algorithmic solutions aimed to automatically detect a wide variety of threats within X-ray and CT security scans. These solutions will help the existing (manual) analysis/detection processes become faster and more accurate.
As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest ML and CV algorithms, in a multidisciplinary and dynamic environment.
Responsibilities:
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- Research, design and develop CV, ML and DL based algorithms to detect a wide variety of threats within X-ray and CT security images
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- Work with a multi-disciplinary team of security experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
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- Read and implement algorithms publications in the field of CV, ML and DL
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- Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team
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- Provide technical guidance to fellow team members
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- Show a strong understanding of software development (in Python & C++) and how to translate Algo ideas into bullet-proof software
Qualifications:
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- M.Sc. in computer science or electrical engineering (preferably in the field of ML/DL and CV)
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- 5+ years experience in CV and ML (ideally python based)
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- 2+ years experience in DL – advantage
- 2+ years of python coding experience- a must
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- Great problem-solving skills, and drive for creativity and innovation
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- High achiever, with determination and persistence
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- Strong communication and collaboration skills
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- Team player, positive and driven, fast learner
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- Ph.D. – advantage
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- Leadership experience – advantage
Machine Learning Software Engineer
About the Role:
We're seeking a Software Engineer to help our data science team scale. Here are some examples of the challenges you'll be facing:
- Build frameworks for BigPanda's ML efforts and be a key contributor in the discussion around which ML technologies will be used in production environment
- Design and implement the best production architecture for integrating models into our production pipelines
- Automate repeatable routines for most machine learning tasks
- Bring the best software development practices to the data science team and help them boost their work
- Ensure that data science code is maintainable and scalable
What would make you a good fit?
- You’re passionate about data, data science and ML
- You're excited about building high performance distributed systems that scale
- You're excited to build a product that solves real customer problems.
Requirements:
- Highly proficient in Python language with at least 4 years of production experience
- At least 3 years experience writing in Java/Scala/C# code for distributed systems that were used in production.
- Experience working with any of these technologies: Kafka, ElasticSearch, MongoDB.
Nice to have:
- Hands-on experience with stream processing for near real-time systems. (BigData, Kafka, Distributed systems)
- Production level experience in Scala
- Hands-on experience with Akka framework.
- Experienced working with cloud platforms, preferably AWS.
- Experience with Seldon, Kubeflow and AWS Sagemaker
Data Scientist
Being a world leading group in the animal intelligence, we are looking for a data scientist that will help us to discover insights from the vast amounts of data our systems collect.
In this role you will utilize data mining techniques, doing statistical analysis, and building prediction models for the purpose of surfacing insights related to livestock and companion animal behavior.
We are looking for a highly analytical person, proficient in data analysis, math and statistics, and would like to work with our animal research scientists to achieve better understanding of the animals we monitor.
• B.Sc. or higher in bio-medicine, statistics, applied mathematics, or related discipline
• 2+ years of experience as a Data Scientist
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Strong Theoretical knowledge of Collaborative Filtering, k-Means, Spectral clustering
• Linear-Algebra – a must (LS, PCA, SVD)
• Knowledge of SQL and Python; familiarity with Matlab is an asset
• Strong programming skills
• Self-learner
• Team player
Lead Data Scientist
Convizit’s advanced AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.
As a Lead Data Scientist, you’ll be leading an awesome multidisciplinary team of engineers and data scientists who are responsible for the most advanced visitor activity tracker in existence. Our tracker processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive ever generated for user behavior analysis and insight extraction. You will develop data-driven approaches and products that are changing the face of user behavior analytics.
What You’ll Do
Lead a team of top-notch data scientists and ML engineers
Collaborate with product management to understand company needs and devise possible solutions and models
Research, plan and implement custom data models and algorithms to apply to our unique data sets
Develop processes and tools to monitor and analyze model performance and data accuracy
What You Have
Ph.D. or MSc in Computer Science, Statistics, Mathematics or other related field
5+ years of experience as a data scientist or similar role with a proven track record of implementing data science algorithms in commercial products
Experience leading data science teams or projects – a must
Experience with time-series data – an advantage
Experience with unsupervised and semi-supervised clustering algorithms – an advantage
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), the theories behind them and their real-world advantages/drawbacks
Great knowledge of, and hands-on experience with, Python and R
Practical experience with big data processing engines (such as Spark or Hadoop)
Experience with structured and unstructured data
Practical experience with relational and NoSQL databases
Excellent business understanding, problem-solving abilities, and organizational skills
Experience working with web behavior analytics, process mining or NLP – an advantage
Who You Are
Innovative and creative, you love to learn new things and find creative solutions to challenging problems
A natural leader, you are charismatic, responsible and accountable
You love to look at the big picture and help lead teams to successful outcomes
A great teammate, with excellent communication skills, who loves to collaborate with others
Agile, you adapt quickly to changes and thrive in a fast-paced environment
Machine Learning Engineer
Convizit’s advanced AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.
As a Machine Learning Engineer, you will be part of an awesome multidisciplinary team of engineers and data scientists who are responsible for the most advanced visitor activity tracker in existence. Our tracker processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive ever generated for user behavior analysis and insight extraction. You will develop data-driven approaches and products that are changing the face of user behavior analytics.
What You’ll Do
- Work closely with other ML engineers, software engineers and top-notch data scientists
- Collaborate with product management to understand company needs and devise models and solutions
- Research and implement machine learning algorithms for our unique data sets
- Develop highly scalable, distributed systems as part of our data pipeline
What You Have
- A degree in Computer Science or related field
- An advanced degree in Computer Science or related field with machine learning experience – significant advantage
- 6+ years of engineering experience, out of which at least 3 years of experience implementing machine learning algorithms into production code
- Significant hands-on experience in Python
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Experience with ML frameworks, such as Pandas, Keras, TensorFlow or PyTorch
- Experience with big data frameworks, such as Kafka, Spark, or Hadoop
- Experience with SQL and NoSQL databases
- Experience with cloud SaaS environments (e.g., AWS, Azure, GCP)
Who You Are
- Innovative and creative, you love to learn new things and find creative solutions to challenging problems
- A great teammate, with excellent communication skills, who loves to collaborate with others
- Agile, you adapt quickly to changes and thrive in a fast-paced environment
- A natural leader, you are charismatic, responsible and accountable
- You love to look at the big picture and lead the team to success
Team Lead Support Engineer
Solutions and technical support engineers, cnvrg.io is looking for you.
Do you want to build the future of data science? cnvrg.io is transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution.
We’re a well funded, fast growing start up transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution. We need hands-on technical Solutions Engineers to join our team.
We are looking for people who are:
Very technical and great at solving tech issues
Have excellent English
Can offer high quality customer service
Are available full time
Linux/Unix OS skills – A must (including installation, design, troubleshooting etc)
Experience working with Docker and Kubernetes and knowledge of GitHub and Jira
Understanding of Cloud technologies (AWS, Google Cloud, etc.) and Open-Source systems like docker and Kubernetes
Come and change the future of data science with us.
DSP/ML Algorithms Engineer
About us:
JoyTunes is reinventing the way we learn, play and experience music, making it possible for anyone to play a musical instrument. With our top grossing piano apps and the recently launched guitar learning app, JoyTunes is on the fast track to building a global consumer subscription company, becoming the music education center of every household worldwide across instruments and demographics. With over a million monthly downloads and hundreds of thousands of daily learners around the world, we are proud to be helping everyone achieve their musical dreams.
About the position:
The base of all JoyTunes products is our acoustic recognition engines, which allow us to give our users real-time feedback on their musical playing. In this role, you’ll be delivering an order of magnitude improvement in our current capabilities. You will have full, end-to-end responsibility for cutting edge algorithms, signal processing solutions, and machine learning systems. You will lead the way from idea, through research and development, to implementation in JoyTunes products, directly shaping the experience of millions of users.
About you:
- Love to tinker with signals 🙂
- BSc Electrical Engineering / Physics / Computer Science or other relevant degree
- 3+ years’ experience applying algorithms / signal processing to real world problems
- Good problem solving and analytical abilities
- Fast learner, willing to try things out of your comfort zone
- Team player, with strong verbal and written communication skills
- Machine learning experience – Advantage
- Love music (who doesn’t) – Advantage
Computer Vision Researcher
Prospera Technologies
Prospera is an AgriTech company that develops intelligent solutions for farmers to grow crops more efficiently.
The company develops both hardware and software solutions that collect and analyze worldwide multi-sensor data with state-of the-art machine learning algorithms. We develop algorithmic solutions for irrigation optimization, pest and disease detection (crop protection), fertilization optimization and much more!
Job Title
We are now looking for a data scientist with a specialty in computer vision!
Come and join our data science team. Put your skills to solve real world problems, develop state-of-the-art deep learning algorithms combining multi-spectral images with sensor data. Deal with data collected worldwide on a daily basis. Be part of a strong and growing team of algorithm researchers.
Skills & Experience
M.Sc./Ph.D. – in Computer Science / Mathematics / Physics with specialization in solving computer vision problems, or equivalent (3+ years) industry experience.
2+ years of hands on experience solving deep learning computer vision problems.
Strong background in machine learning and deep learning.
Strong technical skills.
Experience with cloud computing frameworks.
Ability to initiate and lead machine learning projects end to end.
Passionate about data!
