דרושים » תוכנה » Data Scientist AI & Machine Learning

Requirements:
Education: Bachelors or Masters degree in Computer Science, or a related field.
Experience: 2 years of proven experience in AI/ML and software development.
Skills:
Proficiency in Python programming.
Experience with AI projects based on Large Language Models (LLMs).
Familiarity with basic principles of large language models, including prompt engineering and APIs such as OpenAI.
Knowledge of RAG architecture.
Experience with AWS and GPU computing.
Advantageous Skills:
Hands-on experience with RAG-based projects.
Experience with vision language models.
Hands-on experience with classification, detection, and segmentation models.
Familiarity with vision model development, including data augmentation, transformations, and handling imbalanced data.
Experience with the vision model training process.
C++ programming
Strong analytical and problem-solving skills.
Ability to work independently and as part of a team.
Excellent communication skills.
Ability to stay current with emerging AI technologies and methodologies.

Requirements:
B.Sc. degree in computer science, computer engineering, or a closely related field
Proficiency in one or more low-level programming languages: C / C++
3+ years of experience in object-oriented software development (OOD)
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree
Hands-on experience in parallel programming or distributed application development (MPI / OpenMP / SHMEM)
Experience with code optimizations (I/O, data structure, communication patterns, vectorization) and profiling
Experience in development and utilization of innovative algorithms and data-structures to optimize code performance
Experience in development and deployment of AI models and, with string proficiency in Python programming
Experience in developing and contributing to large codebases

Requirements:
3+ years building backend services, with experience in ML frameworks (e.g., TensorFlow, PyTorch, ML.NET). While building SaaS applications, preferably in a service-oriented architecture
Hands‑on expertise with MLOps tooling (e.g., MLflow, Kubeflow, TorchServe, KFServing).
Familiarity with cloud‑native ML offerings (AWS SageMaker, GCP AI Platform, Azure ML).
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Experience in writing optimized SQL and working against various different datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.
Experience fine‑tuning LLMs or large models using parameter‑efficient methods (LoRA, adapters) is a plus.
LLM fine‑tuning experience (HuggingFace, OpenAI, etc.) is a plus.
Expertise in modern web development frameworks, C#, Java, or equivalent is a plus.

Requirements:
BS/MS in Computer Science or equivalent hands-on experience
7+ years in software engineering; 3+ years in a tech lead or staff/principal engineering role
Expertise in both backend and frontend engineering, with strong skills in React, TypeScript, Node.js, and Python
Proven experience architecting scalable cloud-based systems and big-data applications using AWS services, including Lambda, API Gateway, CloudFront, S3, and DynamoDB
Ability to balance legacy system maintenance with forward-looking architectural design
Strong collaboration and communication skills, with the ability to influence across teams
Experience in Implementing software engineering best practices for the entire SDLC (including business analysis and implementation, design and architecture, planning and development, implementation, and support)
Preferred Qualifications:

Experience working with Martech platforms, CDPs, and customer engagement systems
Experience with personalization, experimentation, and campaign orchestration systems
Familiarity with LLM integrations (e.g., Claude, Bedrock, OpenAI) and building internal AI tools
Understanding of observability stacks (e.g., CloudWatch, Datadog), security (e.g., WAF), and compliance in marketing systems
Strong documentation practices and a bias toward action and clarity

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on DevOps.
Deep understanding of DevOps principles, practices, and tools.
Expertise in cloud technologies (AWS, Azure, GCP) and containerization
platforms (Docker, Kubernetes).
Strong knowledge of configuration management tools (Ansible, Chef,
Puppet) and CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
Experience with scripting languages (Bash, Python) and infrastructure
as code tools (Terraform, CloudFormation).
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills
Bachelors degree in Computer Science, Engineering, or a related field.

Requirements:
BS/MS in Computer Science or related field, or equivalent hands-on experience
7+ years of backend development experience; 3+ years leading engineering teams
Expertise in Python (or equivalent: Node.js, Java) and asynchronous backend development
Strong experience with AWS services, including Lambda, API Gateway, S3, CloudFront, DynamoDB
Proven experience designing event-driven systems using Kafka, SQS, or SNS
Familiarity with big data tooling such as Databricks, Spark, and Delta Lake
Experience with RESTful APIs, microservices, and scalable service architecture
Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
Preferred Qualifications:

Familiarity with CDPs (e.g., ActionIQ, Segment), marketing tools (Braze, Attentive), and analytics platforms (Adobe, GA4)
Experience in growth tech, experimentation platforms, or campaign targeting
Experience working in privacy-aware environments (GDPR/CCPA), including consent management and user data retention
Experience with observability tools like CloudWatch, New Relic, or Datadog
Passion for marketing automation, customer engagement systems, and scalable backend design

Requirements:
BASIC QUALIFICATIONS:
- 5+ years of non-internship professional software development experience.
- 5+ years of test automation frameworks and tools building experience.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- 3+ years of experience writing code to automate the management of Infrastructure services: Python, Perl, or Shell.
- Experience with Build Release Management Tools like Jenkins.
- Experience with Continuous Integration methodology.

PREFERRED QUALIFICATIONS:
- Experience with DevOps or testing automation for silicon development.
- Experience with monitoring tools such as Kibana.
- Experience building developer tools for embedded systems or SoCs.

Requirements:
Bachelors degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:
2 years of experience with data structures or algorithms.
Experience with applied Artificial Intelligence (AI).

Requirements:
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
3+ years of experience in large-scale product development and maintenance of production systems
2+ years of hands-on experience with DevOps automation and CI/CD systems
3+ years of professional experience developing in C and C++
Other Requirements:
Ability to meet our company, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
our company Cloud Background Check: This position will be required to pass the company's Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
Bachelor's Degree in Computer Science
OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
OR Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years experience with operating systems internals
Familiarity with scrum tracking tools such as JIRA or Azure DevOps.
Understanding TCP/IP and other networking concepts.
Experience in one or more of the following: Linux and Windows networking stacks and other OS components; Reliable, high availability software development; Host network offloads; RDMA, SR-IOV; Virtualization (hypervisors, virtual machine switching); TCP/IP; Switching and routing protocols; Network hardware - NICs, switches, routers; Load balancing; Network virtualization (NVGRE, VXLAN); QoS and scheduling; Networking at scale, deployment and servicing at scale; Cloud networking architectures; Performance optimization of low-level code.

Requirements:
Fresh Ph.D. in Electrical Engineering or Computer Science only Mandatory with specialization and research experience in Machine Learning, Deep Learning, LLM, NLP.
3-4 scientific publications
For Masters degree holders (non-Ph.D.), exceptions will be considered with 3-4 scientific publications and 5 years of experience specifically in LLM and /or Deep Learning.
Experienced in NLP (Natural Language Processing) -mandatory
Academic institution: Only universities such as Technion, Weizmann Institute, Tel Aviv University, or the Hebrew University.
Experienced in Machine Learning, Deep Learning, LLM, NLP.
Hands-on position: technical leadership - Mandatory
Two openings available! A golden opportunity for dual placements