דרושים » מדעים מדוייקים » Algorithm Developer

Requirements:
B.Sc. in math, physics, electrical engineering, computer science, or a related field is required; an M.Sc., particularly with a background in computer vision, is strongly preferred
5+ years of industry experience in a similar role
Strong mathematical background with an understanding of deep learning networks
Proficiency with PyTorch and/or TensorFlow
Excellent software design and Python programming skills
Familiarity with modern software development processes and tools, with an emphasis on code quality and documentation
Ability to lead concept development from design through implementation, testing, and deployment
Aptitude for analyzing computer vision challenges and collaborating with experts to deliver state-of-the-art classic, ML, and/or DL solutions

Requirements:
M.Sc. in Computer Science / Electrical Engineering from top-notch universities.
At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python.
Experience in writing highly optimized, scalable and reliable code.
Experience in writing real-time code for a target hardware - Advantage
Strong knowledge of computer vision techniques, including object detection and semantic segmentation- Advantage.
Availability for a full-time position from our office HQ in Tel-Aviv.

Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.

Requirements:
What we're looking for:
5+ years of experience in software engineering, applying modern design patterns and best practices.
Proven hands-on experience with Generative AI technologies.
Solid experience working with cloud platforms (e.g., AWS, GCP, Azure).
Deep understanding of production environments, including testing methodologies, monitoring, and deployment processes.
Strong debugging skills: ability to identify, diagnose, and resolve issues while improving code readability and system reliability.
Proficient in Python and SQL.
Familiarity with software development best practices, Git, CI/CD, and modern DevOps principles.
Bachelors degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
You write clean, maintainable, and well-documented code.
A proactive team player with strong organizational skills and a get things done attitude.

Bonus points for:
Experience with machine learning frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, pandas, and NumPy.
Experience working on video generation, creative iteration, or automated content recommendation.
Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Requirements:
Advanced knowledge and experience in NLP and use of LLMs for GenAI applications in production at scale.
Strong experience in designing end-to-end R&D plans for GenAI including evaluation and validation lifecycle and benchmarking.
Strong proficiency in Python
Solid understanding of Data Science and Machine Learning lifecycle and best practices evaluating and validating AI systems at scale.
Excellent problem-solving abilities, coupled with a creative and strategic mindset.
Proven ability to work effectively in a team setting.
Advantages:
Experience with EDD (evaluation driven development) for GenAI applications.
Familiarity with cybersecurity applications of GenAI.
Advanced skills in performance optimization for high throughput systems.
Tech Stack:
Python, Langchain, Langgraph (or other agentic frameworks), Langfuse/LangSmith (or other observability and tracing tools), HuggingFace, Mlflow, MongoDB

Requirements:
Experience communicating complex technical concepts to non-technical stakeholders (Product, Sales, Leadership) and influencing roadmap decisions.
Proven ability to take vague, high-level requirements and break them down into actionable technical roadmaps.
M.Sc. in Computer Science, Mathematics, Physics, or a related quantitative field (Ph.D. is a plus).
At least 6 years of industry experience in Machine Learning or Data Science.
Strong proficiency in Python and the data science stack (e.g.pandas, scikit-learn, pytorch/tensorflow).
Experience with NLP, Large Language Models (LLMs) and agentic frameworks - A Big Plus.
Ability to write high-quality, production-grade code and work within a software engineering workflow (CI/CD, code reviews, testing).
Fast learner with a passion for solving hard algorithmic problems.
Results-oriented mindset, can-do attitude, and a focus on delivering impact and value.

Requirements:
Native level verbal and written English with excellent communication, presentation, and interpersonal skills.
2+ years professional experience in product or R&D department.
Strong product sense and empathy towards users, customers and their needs
Creative problem solver with a sense for business needs, while having some technical aptitude
Growth mindset
Strong analytical and troubleshooting skills with attention to detail
Advantage:

Hands-on experience with using LLM pipelines in a product context
Experience with Langchain, n8n or similar tools
JavaScript knowledge and basic understanding
Writing experience, such as copywriting, personal writing, UX writing experience

Requirements:
Who You Are:
B.Sc. in Computer Science / Software engineering / Mathematics / similar field
Minimum of 5 years of hands-on industry experience in backend development (Python)
Experience in Devops in cloud infrastructure (Kubernetes etc.) - significant advantage
M.Sc. in Computer Science / Software Engineering / similar field - significant advantage
Experience in architecture and maintaining cloud systems - significant advantage
Have a solid background in software engineering methodologies, such as git & CI/CD
Fast learner: you can quickly master concepts, disciplines and methods
Team player: you work well with people, as well as by yourself
Pragmatic: you know how to deconstruct a problem into few smaller problems
Concise: you get stuff done, in a simple, elegant way.

Requirements:
3+ years of experience leading or managing research teams (ML/NLP/AI), including ownership from ideation to deployment.
5+ years of hands-on applied experience in ML, NLP and Generative-AI, with a track record of delivering models into production.
Strong foundation in Deep Learning & NLP fundamentals, including representation learning, optimization, evaluation methodologies and error-analysis.
Proficiency in Python and modern ML/DL frameworks (e.g., PyTorch, TensorFlow).
Demonstrated ability to lead long-term Research initiatives in the industry - prioritizing, scoping, iterating and delivering measurable value.
Demonstrated AI-first mindset, coupled with pragmatic decision-making. With proven ability to evaluate and apply LLM/hybrid-AI solutions alongside classical ML models, selecting architectures based on performance, scalability, and ROI.
Advanced knowledge in Information Retrieval, Entity Linking, and Graph-based representations.
Experience deploying and managing ML solutions in cloud environments (AWS), including MLOps - advantage.
This is an opportunity to shape the future of AI-driven healthcare solutions in a dynamic and fast-paced environment. If you're a leader with a strong technical background in NLP and Deep Learning, a creative approach to problem-solving, and proven experience managing and motivating teams, wed love to hear from you!