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we are looking for a Senior Machine Learning Scientist I.
As a Senior Machine Learning Scientist, you will work closely with engineers and to design, develop, and evaluate machine learning solutions for scalable, customer-facing GenAI applications. Your work will focus on researching, training, fine-tuning, and rigorously evaluating models leveraging LLMs, recommendation systems, and agent-based architectures, using state-of-the-art techniques. You will drive experimentation, define success metrics, and translate insights into impactful AI solutions that shape the future of intelligent travel products.
Key Job Responsibilities and Duties:
Explore and apply state-of-the-art techniques in multimodal machine learning.
Train innovative ML models (NLP, CV, LLM-finetuning), build algorithms, and engineering approaches to drive business impact..
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
Conduct data analysis with detailed metrics to evaluate models performance, labels quality, features exploration.
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

we are looking for a Machine Learning Engineer II .
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

CodeValue is looking for an ATE Software Engineer to join our team. In this role, you will develop and maintain software for Automatic Test Equipment systems used in advanced electronic testing and radar calibration. You will work closely with hardware engineers to integrate software with testing systems, troubleshoot and resolve issues, and ensure high-quality performance. The position involves hands-on development in Python, system-level thinking, and collaboration with cross-functional teams to deliver robust and scalable testing solutions.

we are looking for a Senior Data Engineer I.
As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.
21679

In this role, responsibility spans the full spectrum of key account management across the South-Center territory. This includes mapping and prioritising key hospital and clinic accounts, understanding their specific needs, and designing tailored engagement plans that support appropriate on-label use. The KAM will lead the development of long-term, trust-based relationships with specialists and their teams, using deep product and disease knowledge to support evidence-based decisions. A strong focus will be placed on analysing territory data, identifying growth opportunities and executing targeted activities that drive sustainable sales performance. Collaboration is essential: working closely with the Sales Manager, cross-functional colleagues and other Respiratory teams to align on strategy, coordinate activities and deliver a consistent customer experience. The role also involves ensuring all interactions and educational initiatives comply with AstraZenecas ethical standards, while effectively managing budgets and resources. Continuous learning is expected, including completion of all training and product certifications, to stay ahead in a highly competitive and rapidly evolving therapeutic area.

Engage in scientific exchange and insight generation by staying current with cardiovascular science, guidelines, and treatment paradigms through literature review, congress attendance, and regular KEE interactions. Execute the medical components of account plans in line with agreed budgets, priorities, and timelines. Build and maintain strong relationships with KEEs, understanding their interests and perspectives, and develop robust territory knowledge to share meaningful customer insights with internal stakeholders. Discuss key data sets with experts to identify evidence gaps, patient pathways, and treatment challenges in areas of unmet medical need, aligned with the therapeutic area strategy. Present data and evolving treatment approaches in one-to-one meetings with KEEs and in internal forums such as Journal Clubs. Initiate and organize scientific meetings and events in partnership with KEEs to explore different aspects of the cardiovascular therapeutic area and brand. Create scientific digital content such as newsletters and approved emails as part of digital medical plans for healthcare professionals. Ensure timely, accurate documentation of all external interactions in dedicated systems and respond to medical information queries via the medical information platform. Support bridging or early access programs where relevant. Continuously refine communication and insight-gathering skills through training, coaching, and joint field visits with the line manager and colleagues. Collaborate with MSLs from other countries or therapeutic areas to exchange best practices and evolve the role. Attend national cardiovascular congresses and, when required, international meetings.

The Rare Bone and Endocrine Medical Advisor acts as a core member of the cross-functional brand team, taking the medical lead for the therapeutic area. The role builds and maintains strategic scientific partnerships with Key External Experts (KEE) and other healthcare professionals through non-promotional interactions, gaining insights that shape brand strategy and medical plans. It leads pre-launch strategy and execution, ensuring scientific excellence in tactics and activities, and provides key medical input to marketing, sales and market access. The Medical Advisor delivers high-quality, up-to-date scientific and medical information, reviews and approves promotional materials in line with internal and external standards, and develops and executes medical affairs projects within agreed budgets and timelines. Maintaining robust scientific expertise, the role continuously monitors the literature, attends national and international congresses, supports internal education and training, and contributes to clinical operations through site selection support. It manages scientific partnerships with KEEs, including externally sponsored research, grants and scientific sponsorships, organizing advisory interactions to co-create projects that advance the therapeutic area strategy. The Medical Advisor ensures full compliance with all relevant regulations, policies and guidance, completes required training, actively participates in medical department activities, shares best practices and takes on additional assignments or champion roles as needed.

we are looking for a Data Engineer.
As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and ore.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.
20718

In this role, responsibility spans the full brand lifecycle. This includes preparing, updating and executing robust Brand Plans that deliver both short- and long-term market share and profitability targets. Market and customer insights are gathered and interpreted to shape strategy: segmentation, SWOT, competitor analysis and sector developments are translated into clear operational plans that stay current in a fast-changing environment. Strategic decisions are led to improve business performance, while brand strategy and plans are developed and implemented in close collaboration with Sales Management, Medical, Regulatory, Diagnostic and Market Access. Synchronisation with the cross-functional team is maintained through clear, continuous communication and strong relationships, increasing recognition and awareness of the brand strategy across AstraZeneca. Close bilateral communication with the product promotion team via FLSMs ensures strategic and operational plans are implemented effectively across Israel, with regular feedback loops and follow-up on execution. The role also maintains effective links with global brand teams and marketing groups to share information and effective practices. Field presence is key: dual visits with the product promotion and medical teams help identify and solve issues quickly, while strong relationships are built and maintained with Opinion Leaders to shape and support the brands impact.

we are looking for a Senior Machine Learning Engineer I.
As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
20031