לוח משרות דרושים NLP/Machine Learning עבודות ללא קורות חיים

Data Integrity group is at the forefront of real-time analytics, using machine learning and artificial intelligence to balance low latency and impeccable data accuracy.

Responsibilities:

Lead the development and deployment of advanced analytical models to solve complex problems, leveraging advanced statistical techniques.
Design and develop NLP models for tasks such as Named Entity Recognition, Classification, Text Similarity, Clustering and other tasks.
Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.
Analyze large and complex data sets, applying mathematical theories and statistical methods, to produce actionable insights.
Stay current with emerging trends in data science and statistics and evaluate their applicability to business problems.
**It is possible to work from the offices in Ramat Gan and Ashkelon**

Data Integrity group is at the forefront of real-time analytics, using machine learning and artificial intelligence to balance low latency and impeccable data accuracy.

Responsibilities

Lead the design and implementation of advanced machine learning algorithms to solve complex problems in various domains.
Collaborate closely with data scientists and domain experts to operationalize machine learning models into production.
Mentor junior engineers and provide technical guidance in machine learning best practices.
Conduct research to keep abreast of the latest advancements in machine learning and artificial intelligence.
Evaluate the effectiveness of machine learning models through comprehensive validation metrics and make iterative improvements.
**It is possible to work from the offices in Ramat Gan and Ashkelon**

The Visual Livescore group is at the forefront of revolutionizing live sports data, leveraging cutting-edge computer vision techniques to deliver unparalleled real-time live-score events with unmatched accuracy and reliability.

Responsibilities:

Lead the design and implementation of Deep Learning techniques in Video stream analysis
Collaborate closely with data scientists and domain experts to operationalize machine learning models into production.
Mentor junior engineers and provide technical guidance in machine learning best practices.
Conduct research to keep abreast of the latest advancements in machine learning and artificial intelligence.
Evaluate the effectiveness of machine learning models through comprehensive validation metrics and make iterative improvements.

We are seeking a highly skilled AI/NLP Research Engineer to join our specialized team of deep research efforts in natural language interaction with structured data.
The ideal candidate will have a strong academic background in AI and NLP, with a focus on deep learning methods and their theoretical underpinnings. This individual will play a crucial role in driving our research agenda forward with the goal to become a leader in this area focusing on results accuracy and real life use cases.
Our offices are located in Herzliya, and the employment can be flexible - either full time or part, company employee or external consultant.
Responsibilities:
Lead and conduct advanced research in natural language interaction with structured data, with a focus on choosing and applying NLP Algorithms and models as well as innovate and improve on them to suppress existing best of breed.
Collaborate closely with cross-functional teams to understand product requirements and translate them into research objectives and experiments.
Stay current with the latest advancements in AI and NLP research, and apply findings to enhance our technology and products.
Provide guidance on research methodologies, best practices, and technical skills development.

Our Research team is growing, and we are looking for a Senior ML Engineer to join the team.
Not Your Typical Senior ML Engineer Role
As an ML Engineer, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data-for-justice revolution. You possess extensive expertise in ML along with a solid foundation in models and infrastructure development.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
Apply cutting-edge solutions while leveraging our in-house legal textual database, coupled with rich metadata of various features
Develop scalable models and tools using machine learning to extract information from unstructured text
Analyze and generate insights from legal documents using ML and GEN AI
Develop MLOps infrastructure to support our ML models and pipelines.
Work alongside machine learning experts, technologists, product managers, and legal domain experts from across the organization to solve complex problems.