לוח משרות דרושים Data Scientist

Requirements:
Education
* Masters degree (MSc) in Computer Science, Engineering or related field Experience
* 3+ years of hands-on experience in industry oriented Computer Vision R&D
* 3+ years Experience in PyTorch, TensorFlow, etc.
* Strong understanding of ML/ DL algorithms
* Proven experience building ML/ DL solutions in production
* Knowledge of large scale ML systems / LLM
* Familiarity with cloud platforms such as AWS
*  Knowledge of image / video compression - an advantage
* Experience in the Autonomous Vehicle industry - an advantage Skills
* Curious, fast learner who enjoys the challenge of a good riddle
* A team worker, well suited to hybrid work mode with good time-management skills
* Ability to methodically define, setup, run, analyze & document projects
* Able to work independently - monitor progress, identify bottlenecks, and propose solutions
* Excellent spoken and written English

Requirements:
MSc or PhD in a computational or statistical field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research), or equivalent experience
3+ years Data Science experience.
Experience working on one of the cloud platforms: AWS, GCP, Azure
Well versed in Data Science languages, tools and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SKLearn, NumPy, Pandas, TensorFlow, Keras)
Familiarity with LLM based applications an advantage
Familiarity with LLM security and safety aspects - an advantage
Resourceful, motivated, and organized.

Requirements:
5+ years of experience as a Data Scientist, working on machine learning-related projects or equivalent experience
Hands-on experience in modern AI techniques, including LLMs, embeddings, knowledge graphs, retrieval-augmented generation (RAG), multi-agent systems and prompt-engineering
Strong proficiency in Python and relevant ML/AI frameworks (e.g., Hugging Face Transformers, PyTorch, scikit-learn), as well as graph and vector database technologies
Experience working with large datasets and data processing libraries (e.g., Pandas, NumPy, Spark)
Pragmatic approach, open-minded, good communicator who can simplify complex ideas and designs
BSc in Computer Science or related field. MSc - advantage
Background in cybersecurity - advantage.

Requirements:
This is a unique opportunity for people that love product, data, and conquering the world.

What do you bring?

+3 years of experience in relevant roles: Data/Product analyst (must be highly technical)
Excellent interpersonal and communication skills.
Product experience and/or product mindset an advantage.
Ability to work as part of an agile and quickly growing team-
SQL High proficiency.
Python (Pandas, Numpy)
Proficiency in English.

Requirements:
At least 3 years of experience in product-oriented data analytics/feature engineering/data science/research /hypothesis lead research.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Experience with productizing machine learning models and/or implementation of Data Pipelines.
Experience working with large and complex data sets.
Experience with Cloud services.
BSc in Computer Science/Software Engineering or equivalent knowledge.
Fast learning and ability to dive into new technologies and new pieces of code.
Enthusiastic and motivated to improve.
Independent thinker with a desire to learn.
Advantages
Experience with Kusto and DataBricks
Relevant masters degree
Proven experience in Cyber Security.
Experience in common Networking protocols.
Big Data (Hadoop, NoSQL, Elastic Search, Spark).

Requirements:
At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis.
MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline.
Strong hands-on experience in Python with the focus being on statistical algorithms development.
Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow
Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.
Experience with AWS, docker, and development methodologies - an advantage
Experience with Snowflake and Databricks an advantage.
Active Github, Kaggle member an advantage.
Cyber security background an advantage.

Requirements:
BSc or MSc in Computer Science, Software Engineering, Data Science, or a related field.
3+ years of experience as a Data Scientist or ML Engineer.
Hands-on expertise with machine learning techniques: regression, classification, clustering, time series
Deep interest and foundational knowledge, including hands-on experience with:
Transfer learning & fine-tuning adapting large pre-trained models (like GPT, LLaMA, Mistral) to domain-specific tasks.
LLMs, Prompt Engineering, and Chain-of-thought (CoT) prompting
Designing MCP APIs, Agent,s and Multi-Agent Orchestration
Vector databases (RAG) and GraphRAG-based solutions
Models for Content Moderation
Familiarity with MLOps & LLMOps practices automating model training, testing, deployment, monitoring, and governance.
Strong proficiency in Python (or other relevant programming languages).
Excellent written and verbal communication skills in English.

Requirements:
What Experience Will Drive to Success:
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 2+ years of experience in AI/ML engineering, with a proven track record of building and deploying ML & AI systems.
* Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
* Hands-on experience with Big Data processing frameworks (Apache Spark, Dask, Ray).
* Hands-on experience with LLMs and AI Frameworks (LangChain, OpenAI, HuggingFace, LangGraph, etc.)
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
* Familiarity with AWS AI/ML services and cloud-based deployments (Advantage).
* Experience working with MLOps tools, including model registry, experiment tracking, and model serving (Advantage).
What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone who is proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: Appdome is all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at Appdome. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were looking for motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to team success. About the Company: Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With Appdome, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines.

Requirements:
PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience in building computer vision models using machine learning techniques.
Experience leading a research agenda.
One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:
Experience building, tuning, evaluating, and using foundation models.
Experience with Remote Sensing data (e.g., multi-spectral, hyper-spectral, SAR) and Google Earth Engine.
Excellent software engineering skills using Python or C++.

Requirements:
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
Minimum of  5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience.
Strong programming skills in Python and proficiency in SQL.
Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques.
Strong communication and collaboration skills to work effectively in a team environment.
Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage.

Requirements:
4+ years of hands-on experience researching, developing, and delivering machine learning models in high-scale, production environments (Python preferred).
Strong background in analyzing large, complex datasets using SQL, Spark, or similar tools.
Deep experience with analytics, machine learning, and deep learning frameworks: Scikit-learn, SciPy, TensorFlow, Pandas, NumPy, PyTorch, Keras.
Demonstrated ability to solve multidisciplinary, data-driven problems.
Excellent teamwork and communication skills.
Experience in application or data security (strong advantage).
Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Experience with Kubernetes (K8s) and microservices infrastructure is a plus.
Experience with CI/CD practices and the full lifecycle of ML model development, from data preparation to deployment and monitoring, is a strong advantage.
Ph.D. or M.Sc. in Computer Science, Engineering, Math, or another quantitative/technical field is valued, but not required if you have strong relevant professional experience.
Strong English and presentation skills are an advantage.