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פורסם ע"י המעסיק
17/10/2024
Location: Tel Aviv-Yafo
Job Type: Full Time
At 365Scores, we're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide. About The Role: As a Data Science Team Leader at 365Scores, you will lead our ambitious Machine Learning and AI initiatives. This role involves leading a strong team of data scientists & ML engineers, focusing on impactful and continuous delivery that directly ties machine learning models to business outcomes.

Responsibilities:

* Lead the full lifecycle of machine learning and AI projects, from ideation through execution, ensuring they align with business objectives.
* Mentoring team members, and establishing best practices and efficient processes.
* Manage a diverse portfolio of machine-learning models, balancing immediate needs with long-term innovative projects to maximize business impact.
* Analyze a wide array of data inputs to identify opportunities that align with company goals, transforming complex business and product challenges into actionable data science initiatives.
* Collaborate with stakeholders across the organization to drive multiple, concurrent projects to successful completion
Requirements:
* Minimum of 5 years of hands-on experience in data science, machine learning, and AI, preferably in a dynamic, hyper-growth environment.
* At least 3 years of experience managing a data science team, with a proven track record in a similar growth-oriented company.
* Hands-on proven track experience in designing and building solutions on cloud (AWS, GCP, Azure)
* Hands-on experience with platforms or services such as Qwak, Databricks, Sagemaker, Vertex AI (Advantage)
* Experience working with Data Lakes, In-Memory, Graph & Vector DBs (Advantage)
* Advanced degree in Data Science, Physics, Statistics, Math, Computer Science, Industrial Engineering, or a related quantitative field.
* Strong leadership skills with the ability to manage diverse stakeholders and drive multiple projects simultaneously in a fast-paced environment.
* Proficiency in SQL and Python, with extensive experience in crafting optimized data processing and machine learning pipelines.
* Exceptional communication, collaboration, and leadership skills, coupled with strong business acumen and a team-oriented approach.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
16/10/2024
Location: Ramat Gan
Job Type: Full Time
We are seeking a Senior Backend Developer to join our core R&D team,
In this role, you will collaborate with talented software engineers and architects to design and build the backbone of our business and technology infrastructure.
You'll play a key part in every phase of the system's development, contributing to the success of our core products.
Requirements:
5+ years of software development experience
Working knowledge of C# and .Net framework
Strong knowledge of system architecture, best practices and design patterns
Experience building high-scale backend systems, web services, APIs - and maintaining them in a high load, high availability production environment
Knowledge of database and data store systems (SQL, Mongo, Dynamo, Redis, etc.).
Working knowledge of CI/CD pipelines, automated testing and deployment
3+ years of cloud infrastructure knowledge
Excellent communication skills and a team player attitude with a can-do approach are essential
Strong Advantage: Node.js
Advantage: Machine Learning methodologies, Messaging systems/events streaming platforms (Kafka etc.), Data Processing pipelines
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
16/10/2024
Location: Merkaz
Job Type: Full Time
Required DevOps / MLOps Engineer
The pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. Our platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.
Why us:
Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. You have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.
What youll do:
Own and manage every aspect in the MLOps life cycle for our AI-based automatic sports highlights generation platform.
Design, implement and maintain our whole ML infrastructure, from research to production and from model training to data engineering.
Automate and innovate workflows such as serving and training pipelines for multidisciplinary ML algorithms including Computer Vision, NLP and Data Science.
Build and maintain CI/CD pipelines, releases and Source Code workflows.
Requirements:
4+ years experience as an MLOps engineer, DevOps engineer or similar fields
Experience in a complex, large-scale, high-uptime production cloud environment.
Core understanding of Linux OS, Docker Components, Kubernetes.
Experience with CI/CD pipelines for distributed production systems
Experience with python scripting.
Work experience with Terraform.
Understanding of AI and machine learning fundamentals, concepts and frameworks advantage.
Working with MLOps platforms such as Experiment Tracking, Model Registry, feature Store Advantage (e.g ClearML , W&B, Aws Sagemaker)
Working with Azure Cloud in high-scale production environment Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
16/10/2024
Location: Merkaz
Job Type: Full Time
We are looking for a GenAI/NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Develop the algorithms that drive our diverse range of products.
Combine deep language models, state-of-the-art Generative models and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.
Requirements:
Degree in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
Strong background, 3+ years of industry experience required in Machine Learning and Deep Learning algorithms.
Practical NLP experience.
Proficiency in Python programming language.
Strong analytical and problem solving skills.
Independence and ownership, ability to come up with innovative solutions and evaluate them quickly.
Preferred Qualifications:
M.Sc or PHD.
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
16/10/2024
Location: Merkaz
Job Type: Full Time
We are seeking a Machine Learning Engineer with a passion for developing production-grade software services and solving intriguing problems using Large Language Models (LLMs), data, and creative thinking. Join us in creating our next-generation automatic sports video content engine. If youre enthusiastic about cutting-edge NLP and Generative AI development, we want you!
As a Machine Learning Engineer, youll tackle complex business challenges using state-of-the-art NLP models in areas such as text generation, text classification, question answering, information retrieval, and more. You will collaborate closely with engineers, scientists, and product managers to make our language platform the best in its class.
What youll do:
Design and develop the engineering infrastructure to support all ML-related activities
Work closely with Data Scientists and other stakeholders to define the ML system requirements for experimentation and production
Define internal quality processes in the team, including code reviews, testing methodologies, and deployment processes
Work on various tasks: architecture and design, coding, monitoring, working with cloud services, and working closely with MLOps
Continuously explore new tools and practices in the ML and cloud processing world that can be harnessed for our mission to build a smooth ML development and serving pipeline
Identify improvement opportunities, such as automating manual processes and cost-reduction opportunities.
Requirements:
B.Sc. in Computer Science/Electrical Engineering/related field from a well-known university
3+ years of Production-grade Python coding experience
3+ years of experience in designing, developing, and deploying data pipelines and machine learning models in production at scale
Experience as an ML/NLP engineer with modern ML frameworks like PyTorch and/or LLM APIs like OpenAIs GPT
Experience with Cloud technologies (Azure / GCP / AWS)
Advantage: Experience with Generative AI (e.g. LLMs)
Advantage: familiar with ML tools such as W&B or ClearML
Comfortable working in a fast-paced, dynamic work environment
An excellent team player, dependable, gets the job done.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
16/10/2024
Location: Merkaz
Job Type: Full Time
NLP Team Leader
The pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. Our platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.
Why us:
Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. At You have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.
As an NLP team lead, you will solve hard business problems using SOTA NLP models, in the realm of text generation, text classification, question answering, information retrieval and more. You will pretrain, fine-tune and deliver to production large language models (LLMs), in multiple languages, and use your knowledge and creativity to answer business problems using real data. Youll also work with the Product team to shape our product roadmap, and contribute to brainstorming sessions on NLP projects.
What youll do:
Lead a team of exceptional NLP researchers.
Teach, mentor, and counsel the team, supporting their growth and professional development
Initiate, plan, prioritize, and manage ML projects, solving a real business problem for the largest sports organizations.
Translate business challenges into ML projects, brainstorm to identify optimal approaches, and conduct hands-on research to integrate data, product insights, and algorithms, generating business value.
Supervise production deployment, monitoring, and continuous learning of NLP models to ensure their optimal performance and adaptability.
Continuously evolve and help others evolve professionally, through joint work and mentoring, contributing to weekly brainstorming sessions, and staying up-to-date with the latest ML developments
Collaborate closely with Product and BizDev teams to align NLP initiatives with business objectives and product strategies.
Requirements:
M.Sc in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
Experience managing a team (minimum 3 employees )
Subject matter expertise in NLP research, including in Deep Learning based methods
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.
Intimate familiarity with a variety of ML disciplines and algorithms
Excellent interpersonal skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
16/10/2024
Location: Merkaz
Job Type: Full Time
We are looking for a Senior GenAI/NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Design, develop and implement state-of-the-art Generative models, prompt engineering and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.
Requirements:
Degree in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
5+ years of industry experience required in NLP and Deep Learning algorithms.
Proficiency in Python programming language.
Strong analytical and problem solving skills.
Independence and ownership, ability to come up with innovative solutions and evaluate them quickly.
Preferred Qualifications:
M.Sc or PHD.
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
15/10/2024
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Big Data Engineer/ Machine Learning Engineer to join our team and help advance our Apps solution.
Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization.
The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency.
You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.
Requirements:
At least 5 years of experience in data engineering or related roles.
- Experience with Big Data - Spark or BigQuery - one of them is a must !
- Experience Machine Learning - a must ! .
- Proficiency in Python- must. Scala is a plus.
- BSC in Computer Science or equivalent practical experience.
- Experience with Big Data technologies such as Spark, Docker, k8s, EMR, Airflow.
- Familiarity with distributed computing on the cloud (such as AWS or GCP).
- Strong problem-solving skills and ability to learn new technologies quickly.
- Being goal-driven and efficient.
- Excellent communication skills and ability to work independently and in a team.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
14/10/2024
Job Type: Full Time
We are looking for a top-notch machine learning research engineer to help disrupt the manufacturing world with breakthrough deep reinforcement learning algorithms!
As a machine learning research engineer at our CTO office, you will:
Conduct long-term open-ended research that enhances and expands our deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging our core technology to develop and deploy tailored solutions to clients.
Requirements:
BSc in CS/EE/Math/Physics from a well-known university
At least 3-4 years of hands-on machine learning experience
Education in machine learning at the level of advanced academic courses
Practical experience with deep learning
Self-reliant, proactive, with strong motivation and an inquisitive mind
Advantage:
MSc in machine learning or related area
Experience with deep learning on time series data (Transformers / recurrent models)
Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
Experience/education in signal processing and/or control theory
Proven research background
Experience in leading projects and mentoring
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
13/10/2024
Location: Tel Aviv-Yafo
Job Type: Full Time
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.

What are some of the things you do on a day-to-day basis?

Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Requirements:
What are the skills a good Machine Learning Ops Engineer needs to have?
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment.
Excellent coding skills in Java & Python.
Experience with TensorFlow a big plus.
Possess strong problem solving and critical thinking skills.
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries.
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming.
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.

It would be great if you also have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools.
Experience in developing software within a distributed computation framework.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
10/10/2024
Location: Tel Aviv-Yafo
Job Type: Full Time
The Senior Machine Learning Operations (MLOps) Engineer, is responsible for providing operational support for the machine learning team's model deployments, including development, deployment, and benchmarking.
This role also supports machine learning model development and ensures the seamless integration and optimization of models.
Role and Responsibilities:
Manage and support the deployment of machine learning models in production environments, ensuring high availability and reliability.
Develop and maintain CI/CD pipelines for machine learning models to streamline the deployment process.
Implement monitoring and alerting systems to track model performance and detect anomalies in real-time.
Oversee the infrastructure used for model training and deployment, ensuring scalability and efficient resource utilization.
Conduct benchmarking of machine learning models to evaluate performance and identify areas for improvement.
Work closely with data scientists and engineers to integrate models into applications and optimize performance.
Manage model versioning and maintain a clear history of changes and updates.
Create and maintain documentation for deployed models, processes, and best practices.
Ensure the security of model deployments by implementing appropriate access controls and monitoring for vulnerabilities.
Implement tools and practices for tracking experiments and model performance metrics.
Requirements:
Masters or higher-level degree in Machine Learning preferred.
Strong understanding of CICD processes and frameworks such as Terraform.
Strong understanding of AWS services.
5+ years experience with Python and/or C++.
Knowledge of machine learning frameworks such as PyTorch.
Advantage:
Experience with NVIDIA CUDA and hardware deployments.
Experience with NVIDIA Deepstream and Triton frameworks.
Experience with AWS.
Experience with Nvidia CUDA coding.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
09/10/2024
Location: Ramat Gan
Job Type: Full Time
We are seeking a highly skilled and motivated NLP Researcher for our Ramat-Gan office.
As an NLP Researcher, you will utilize deep learning and cutting-edge NLP methodologies to develop AI-driven products and functionalities to solve complex problems and revolutionize the legal industry.
As our users gain deeper insights into transcription data, they will also be able to utilize powerful tools such as contradiction detection, topic extraction, text segmentation, and retrieval-augmented generation (RAG).
Responsibilities:
Work together with the product team to establish research problem, criteria for success, and convert these into measurable goals and objectives
Explore existing approaches to research problems as well as develop new ones
Conduct end-to-end data-driven research and development
Top of FormBottom of Form.
Requirements:
The Ideal Candidate:
3+ years experience in applied research up to production code level in Machine Learning / Deep Learning, focusing on NLP
M.Sc. in Computer Science, Software Engineering, Electrical Engineering Ph.D. advantage
Good understanding of DNNs and experience with PyTorch / TF / other platforms
Experience in finetuning and evaluating LLMs - advantage
Team player with excellent communication skills
Proficient in Python development
Self-learner and excited about new domains.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
7901005
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
09/10/2024
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a NLP Research Engineer to join our growing Research team.
In this role, you will work on our core business challenges, tackling tough and diverse algorithmic problems using the latest NLP research.
As the NLP Research Engineer, you will:
Research complex problems related to state-of-the-art NLP, GNNs, and Tabular data.
Implement algorithms and train models to solve problems at the core of our product.
Integrate your work into our existing product while demonstrating its value.
Requirements:
3+ years of experience as a researcher/research engineer/data scientist.
2+ years of experience with Deep Learning algorithms and frameworks.
Good Python programming skills.
Ability to read and analyze papers and research.
MSc in Computer Science / Statistics is an advantage.
Basic knowledge of state-of-the-art NLP algorithms is an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
7900996
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נאספה מאתר אינטרנט
08/10/2024
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
You are an innovative and motivated Product Manager who excels at simplifying complex problems and use cases. As a strong communicator and a people person, you enjoy working with various teams on multiple features simultaneously. With a solid technical background, you can bridge the gap between R&D and customer needs.

Key Responsibilities:
Take full responsibility for feature execution, from definition to delivery, and effectively communicate progress to various teams.
Work cross-functionally to gather requirements, customer feedback, and communicate priorities.
Serve as a product expert and professional focal point for R&D, sales, clinical, and customer success inquiries.
Interpret customer requirements and translate them into technical and operational requirements using strong analytical skills.
Define dashboards for customer use.
Create mockups and prototypes to assist with development.
Monitor product and business performance, taking action as needed to drive business success.
Requirements:
4-5 years of proven experience in analyzing and defining requirements and building tech-based solutions as a Product Manager.
Strong technical background with the ability to understand and discuss architectural concepts and schedule trade-offs.
Experience working in ML/NLP and AI oriented companies
Excellent interpersonal skills, with the ability to communicate and collaborate effectively across teams.
Independent decision-maker with a strong sense of initiative.
Technical/Engineering background and a relevant degree are a must.
Proficiency in English (verbal and written) at a very high level.
Advantages:
Coming from a health-tech background
Experience working as part of a large product team
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
7899104
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נאספה מאתר אינטרנט
07/10/2024
Location: Tel Aviv-Yafo
Job Type: Full Time
Required MLOps/Data Engineer
Job Description Summary:
You will design, develop, and optimize ML model pipelines, and scale our models from research to production.
Responsibilities:
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:
Design, Develop, Test and Maintain ETLs and services for integrating with our customers various data systems.
Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
Develop end-to-end algorithmic solutions for complex ML problems from research and training models, through design, development, evaluation and optimization.
Develop train and inference engine pipelines in a large scale distributed system.
Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
Design, Implement and Optimize ML/DL and research pipelines to improve algorithms performance.
Transform high-level product requirements into technical requirements
Brainstorm and prototype algorithmic improvements.
Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).
Requirements:
M.Sc. (Phd preferred) in Computer Science, Engineer, or equivalent, ideally with a thesis in deep learning
Proven track record in MLOps, ML/DL engineering
High proficiency in Python and its data science stack (Pandas, sklearn, etc.).
Deep understanding of artificial deep neural networks architectures, algorithms, infrastructure, tooling and practices, ideally in NLP/NLU/NLG.
Hands-on experience with design, implementation and optimization of deep learning models using common frameworks (TensorFlow, PyTorch, HuggingFace, etc.)
Model optimization techniques familiarity with testing and hyperparameter optimization tools and frameworks.
3+ years of hands-on experience in engineering in production environments
2+ years of experience in ML
Experience in the following technologies: Dockers, Kubernetes, Aws, MongoDB
End to end experience owning feature from an idea stage, through design, architecture, coding, integration, deployment, and monitoring stages
Advantages:
NLP/NLU/NLG experience in document classification, text generation, summarization, NER
Proven ability of conducting reproducible applied research in ML
Working with medical data on healthcare data projects
Experience in the following technologies: Spark/Hadoop, Airflow, Redis, Kafka
Go programming language proficiency.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
7897829
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