Validation Engineer for a globally operating Neuchatel based company in the pharmaceutical sector. Your tasks: Developing validation plans, protocols, and reports for new products and processes, ensuring alignment with regulatory standards and internal requirements Executing validation activities, including IQ, OQ, PQ, test method validation, and process validation, utilizing appropriate tools and methodologies Analyzing validation data and providing insights to optimizing product and process performance, reliability, and compliance Revising risk analysis and validation plans as needed based on project requirements Overseeing the execution of SAT protocols, ensuring compliance with regulatory standards and company guidelines Developing and executing performance qualification protocols for CIP, SIP processes, including surface sampling, thermal mapping, and handling of Bioindicators Your experience/knowledge: 5+ years of experience in validation CIP, SIP, and Equipment qualification within the pharmaceutical industry Extensive experience with filling equipment such as filling lines, freeze dryers, depyrogenation tunnels, vials washers, stopper washing and sterilization, and isolators Familiarity with ASTM approach Proficiency in writing and executing digitalized protocols, preferably using Kneat software Your soft skills: Strong analytical skills with attention to detail Excellent communication and collaboration abilities Location: Neuchatel, Switzerland Sector: Pharmaceutical Start: ASAP Duration: 03MM+ Ref .Nr.: BH21635 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
09/05/2024
Project-based
Validation Engineer for a globally operating Neuchatel based company in the pharmaceutical sector. Your tasks: Developing validation plans, protocols, and reports for new products and processes, ensuring alignment with regulatory standards and internal requirements Executing validation activities, including IQ, OQ, PQ, test method validation, and process validation, utilizing appropriate tools and methodologies Analyzing validation data and providing insights to optimizing product and process performance, reliability, and compliance Revising risk analysis and validation plans as needed based on project requirements Overseeing the execution of SAT protocols, ensuring compliance with regulatory standards and company guidelines Developing and executing performance qualification protocols for CIP, SIP processes, including surface sampling, thermal mapping, and handling of Bioindicators Your experience/knowledge: 5+ years of experience in validation CIP, SIP, and Equipment qualification within the pharmaceutical industry Extensive experience with filling equipment such as filling lines, freeze dryers, depyrogenation tunnels, vials washers, stopper washing and sterilization, and isolators Familiarity with ASTM approach Proficiency in writing and executing digitalized protocols, preferably using Kneat software Your soft skills: Strong analytical skills with attention to detail Excellent communication and collaboration abilities Location: Neuchatel, Switzerland Sector: Pharmaceutical Start: ASAP Duration: 03MM+ Ref .Nr.: BH21635 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
We are seeking a skilled Systems Engineer specializing in Artificial Intelligent Systems (SE4AI) to join the team on behalf of global technology provider. The ideal candidate will leverage systems engineering principles and methodologies to develop safe, robust, and efficient AI systems across various industries. This role requires a solid understanding of AI techniques and industrial experience in fields such as autonomous driving, medicine, space, or robotics. Responsibilities: Apply knowledge in AI techniques such as knowledge representation, automated planning, decision making, deep learning, and probabilistic methods for uncertain reasoning. Utilize industrial experience and background to contribute to the development of AI systems in various domains, ensuring safety, reliability, and efficiency. Embed AI in complex systems of systems (SoS) and/or teams, ensuring seamless integration and optimal performance. Design AI systems across their life cycle, including maintenance and sustainment principles. Develop measures of trust, focusing on explainability, interpretability, and bidirectionality in human-AI collaborative systems. Address critical aspects of safety, reliability, and ethical considerations in AI system development and deployment. Understand the evolving role of digital engineering and its impact on the systems engineering workforce in an AI-driven landscape. Utilize Large Language Models (LLMs) as co-pilots for systems modelling and engineering tasks. Implement cognitive assistants, including conversational systems, to automate mundane tasks and workflows beyond LLMs. Conduct Test and Evaluation (T&E) across the life cycle of AI systems, ensuring performance and reliability. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field; Master's or Ph.D. preferred. Solid knowledge and expertise in AI techniques, with a focus on knowledge representation, automated planning, decision making, deep learning, and probabilistic methods. Proven industrial experience in fields such as autonomous driving, medicine, space, or robotics. Familiarity with system design processes supporting AI across the life cycle, including maintenance and sustainment. Understanding of measures of trust in AI systems, including explainability and interpretability. Strong analytical and problem-solving skills, with attention to safety, reliability, and ethical considerations. Experience with digital engineering tools and methodologies is desirable. Excellent communication and collaboration skills, with the ability to work effectively in interdisciplinary teams. If you possess what it takes to succeed in the role, if you're a seasoned professional seeking to elevate your skills and expand your AI application horizons, we want to hear from you. Join us in shaping the future of AI innovation.
08/05/2024
Full time
We are seeking a skilled Systems Engineer specializing in Artificial Intelligent Systems (SE4AI) to join the team on behalf of global technology provider. The ideal candidate will leverage systems engineering principles and methodologies to develop safe, robust, and efficient AI systems across various industries. This role requires a solid understanding of AI techniques and industrial experience in fields such as autonomous driving, medicine, space, or robotics. Responsibilities: Apply knowledge in AI techniques such as knowledge representation, automated planning, decision making, deep learning, and probabilistic methods for uncertain reasoning. Utilize industrial experience and background to contribute to the development of AI systems in various domains, ensuring safety, reliability, and efficiency. Embed AI in complex systems of systems (SoS) and/or teams, ensuring seamless integration and optimal performance. Design AI systems across their life cycle, including maintenance and sustainment principles. Develop measures of trust, focusing on explainability, interpretability, and bidirectionality in human-AI collaborative systems. Address critical aspects of safety, reliability, and ethical considerations in AI system development and deployment. Understand the evolving role of digital engineering and its impact on the systems engineering workforce in an AI-driven landscape. Utilize Large Language Models (LLMs) as co-pilots for systems modelling and engineering tasks. Implement cognitive assistants, including conversational systems, to automate mundane tasks and workflows beyond LLMs. Conduct Test and Evaluation (T&E) across the life cycle of AI systems, ensuring performance and reliability. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field; Master's or Ph.D. preferred. Solid knowledge and expertise in AI techniques, with a focus on knowledge representation, automated planning, decision making, deep learning, and probabilistic methods. Proven industrial experience in fields such as autonomous driving, medicine, space, or robotics. Familiarity with system design processes supporting AI across the life cycle, including maintenance and sustainment. Understanding of measures of trust in AI systems, including explainability and interpretability. Strong analytical and problem-solving skills, with attention to safety, reliability, and ethical considerations. Experience with digital engineering tools and methodologies is desirable. Excellent communication and collaboration skills, with the ability to work effectively in interdisciplinary teams. If you possess what it takes to succeed in the role, if you're a seasoned professional seeking to elevate your skills and expand your AI application horizons, we want to hear from you. Join us in shaping the future of AI innovation.
Senior DevOps Engineer - Cloud - Permanent - Poland Robson Bale are looking for a Senior DevOps Engineer to come on board for a permanent opportunity in Poland. Role can be fully remote from Poland Permanent, Excellent Salary Responsibilities: Technical Skills - Must have Leadership: Lead and manage DevOps/Infrastructure projects, overseeing the entire development life cycle. Collaborate with cross-functional teams to align project objectives and deliverables. Ensure adherence to timelines, budgets, and quality standards. Mentor and guide team members and interns, fostering a culture of continuous learning. Security and Compliance: Demonstrate a deep understanding of Standard Operating Procedures (SOP) for security practices. Perform threat modelling and implement encryption, network defense, and web security measures. Champion security best practices in a production environment and address cloud security risks. Integrate identity providers such as OAuth, OIDC, and SAML to enhance security. DevOps/Infrastructure and Cloud Expertise: Drive change, release, and incident management processes to maintain a stable environment. Utilize extensive experience in DevOps to optimize performance, conduct application upgrades, and apply patches. Lead continuous integration and deployment efforts using tools like Jenkins and Ansible. Demonstrate proficiency in coding and automation to streamline operations. Good hands-on knowledge of AWS/AZURE/GCP cloud service providers. Cloud Infrastructure Management: Exhibit strong expertise in AWS/AZURE/GCP/OCI cloud services and maintain infrastructure as code (IAC) using Ansible, Terraform, or CloudFormation. Oversee containerization technologies like Docker and Kubernetes to enhance scalability and efficiency. Manage Linux-based systems and network configurations to ensure smooth operations. Security and Access Management: Demonstrate a solid grasp of identity and access management (IAM) principles. Manage Security Groups (SGs), Firewall services, and secrets effectively. Optimize service costs based on resource utilization and scale. Monitoring and Reliability: Ensure ongoing and reliable monitoring of the infrastructure to promptly address issues. Implement performance tuning and optimization strategies to maintain high availability. Technical Requirements: Proficient in Python/Java/bash Scripting for automation and tooling. Expertise in AWS/AZURE/GCP/OCI cloud services like Azure Kubernetes Service/Elastic Kubernetes Service/Google Kubernetes Engine. Extensive experience with CI/CD pipelines, particularly using Jenkins . Strong familiarity with Docker and Kubernetes for container orchestration. In-depth understanding of networking principles. Good to Have Skillsets: Experience in crafting intuitive and engaging user interfaces (UI) for web applications, mobile apps, or other AI-powered interfaces. Experience with design thinking methodologies. Understanding of data visualization and information architecture. Ability to write clear documentation. Experience with voice user interfaces (VUIs). Knowledge of animation and micro interactions for enhancing user experience. Experience with design systems and component libraries. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development methodologies Attention to detail and commitment to quality. Behavioral Skills: Work closely with designers, product managers, Developers, and data scientists to deliver comprehensive solutions. Communicate effectively and share knowledge with the team. Be open to feedback and continuously learn and adapt to new technologies. Ability to work independently and as part of a team. Ability to work effectively under pressure and meet deadlines. Passion for learning and staying updated on the latest technologies. Good Attitude and Quick learner. Certification (Good to have) : Certifications (Preferred, any 1 or more Cloud Service Provider): AWS associate certification (eg, AWS Certified Solutions Architect, AWS Certified DevOps Engineer) Certified Kubernetes Administrator (CKA) certification. Certified Docker Captain. Azure Certifications (eg Azure Fundamentals, Azure Administrator Associate, DevOps Engineer Expert, Azure Security Engineer Associate) GCP certifications (eg Cloud DevOps Engineer, Cloud network Engineer, Google Workspace Administrator) Networking related certification. Role can be fully remote from Poland Permanent, Excellent Salary Senior DevOps Engineer - Cloud - Permanent - Poland
07/05/2024
Full time
Senior DevOps Engineer - Cloud - Permanent - Poland Robson Bale are looking for a Senior DevOps Engineer to come on board for a permanent opportunity in Poland. Role can be fully remote from Poland Permanent, Excellent Salary Responsibilities: Technical Skills - Must have Leadership: Lead and manage DevOps/Infrastructure projects, overseeing the entire development life cycle. Collaborate with cross-functional teams to align project objectives and deliverables. Ensure adherence to timelines, budgets, and quality standards. Mentor and guide team members and interns, fostering a culture of continuous learning. Security and Compliance: Demonstrate a deep understanding of Standard Operating Procedures (SOP) for security practices. Perform threat modelling and implement encryption, network defense, and web security measures. Champion security best practices in a production environment and address cloud security risks. Integrate identity providers such as OAuth, OIDC, and SAML to enhance security. DevOps/Infrastructure and Cloud Expertise: Drive change, release, and incident management processes to maintain a stable environment. Utilize extensive experience in DevOps to optimize performance, conduct application upgrades, and apply patches. Lead continuous integration and deployment efforts using tools like Jenkins and Ansible. Demonstrate proficiency in coding and automation to streamline operations. Good hands-on knowledge of AWS/AZURE/GCP cloud service providers. Cloud Infrastructure Management: Exhibit strong expertise in AWS/AZURE/GCP/OCI cloud services and maintain infrastructure as code (IAC) using Ansible, Terraform, or CloudFormation. Oversee containerization technologies like Docker and Kubernetes to enhance scalability and efficiency. Manage Linux-based systems and network configurations to ensure smooth operations. Security and Access Management: Demonstrate a solid grasp of identity and access management (IAM) principles. Manage Security Groups (SGs), Firewall services, and secrets effectively. Optimize service costs based on resource utilization and scale. Monitoring and Reliability: Ensure ongoing and reliable monitoring of the infrastructure to promptly address issues. Implement performance tuning and optimization strategies to maintain high availability. Technical Requirements: Proficient in Python/Java/bash Scripting for automation and tooling. Expertise in AWS/AZURE/GCP/OCI cloud services like Azure Kubernetes Service/Elastic Kubernetes Service/Google Kubernetes Engine. Extensive experience with CI/CD pipelines, particularly using Jenkins . Strong familiarity with Docker and Kubernetes for container orchestration. In-depth understanding of networking principles. Good to Have Skillsets: Experience in crafting intuitive and engaging user interfaces (UI) for web applications, mobile apps, or other AI-powered interfaces. Experience with design thinking methodologies. Understanding of data visualization and information architecture. Ability to write clear documentation. Experience with voice user interfaces (VUIs). Knowledge of animation and micro interactions for enhancing user experience. Experience with design systems and component libraries. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development methodologies Attention to detail and commitment to quality. Behavioral Skills: Work closely with designers, product managers, Developers, and data scientists to deliver comprehensive solutions. Communicate effectively and share knowledge with the team. Be open to feedback and continuously learn and adapt to new technologies. Ability to work independently and as part of a team. Ability to work effectively under pressure and meet deadlines. Passion for learning and staying updated on the latest technologies. Good Attitude and Quick learner. Certification (Good to have) : Certifications (Preferred, any 1 or more Cloud Service Provider): AWS associate certification (eg, AWS Certified Solutions Architect, AWS Certified DevOps Engineer) Certified Kubernetes Administrator (CKA) certification. Certified Docker Captain. Azure Certifications (eg Azure Fundamentals, Azure Administrator Associate, DevOps Engineer Expert, Azure Security Engineer Associate) GCP certifications (eg Cloud DevOps Engineer, Cloud network Engineer, Google Workspace Administrator) Networking related certification. Role can be fully remote from Poland Permanent, Excellent Salary Senior DevOps Engineer - Cloud - Permanent - Poland
Python Programmer - Brussels - English speaking (ML, Machine Learning, Data, Data Wrangling, AWS, Linux, Kubernetes, Argo, Automation) One of our Blue Chip Clients is urgently looking for a Python Programmer. Please find some details below: We are seeking a highly skilled Senior Python Programmer with expertise in machine learning (ML) data wrangling, interfacing, and automation. The ideal candidate will be proficient in building robust data pipelines and automating complex tasks to support ML initiatives. They will have a keen understanding of observability principles and possess hands-on experience with AWS, Linux, and preferably Kubernetes and Argo. Responsibilities: - Develop and maintain robust data pipelines for ML data wrangling, interfacing, and automation. - Implement automation solutions to streamline data processing and model deployment workflows. - Ensure observability and monitoring of systems, providing insights into performance and reliability. - Utilize AWS services such as S3, Lambda, and networking components for data storage, processing, and permissions management. - Collaborate with DevOps teams to deploy and manage applications in Linux environments. - Support Kubernetes and Argo workflows for scalable and efficient ML model training and deployment. - Manage AWS permissions and network configurations to ensure data security and compliance. - Maintain version control of codebase using Git and enforce best practices for code documentation and production readiness. - Collaborate with data scientists to develop small UI tools for querying data from databases and AWS S3. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Proficiency in Python programming language with a focus on ML data wrangling and automation. - Strong experience with AWS services, including S3, Lambda, networking, and permissions management. - Hands-on experience with Linux environments and Shell Scripting. - Familiarity with Kubernetes and Argo for container orchestration and workflow management (preferred). - Knowledge of Git for version control and collaboration. - Excellent communication skills and ability to work in a collaborative team environment. - Strong problem-solving skills and attention to detail. - Ability to prioritize tasks and work efficiently in a fast-paced environment. Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
07/05/2024
Project-based
Python Programmer - Brussels - English speaking (ML, Machine Learning, Data, Data Wrangling, AWS, Linux, Kubernetes, Argo, Automation) One of our Blue Chip Clients is urgently looking for a Python Programmer. Please find some details below: We are seeking a highly skilled Senior Python Programmer with expertise in machine learning (ML) data wrangling, interfacing, and automation. The ideal candidate will be proficient in building robust data pipelines and automating complex tasks to support ML initiatives. They will have a keen understanding of observability principles and possess hands-on experience with AWS, Linux, and preferably Kubernetes and Argo. Responsibilities: - Develop and maintain robust data pipelines for ML data wrangling, interfacing, and automation. - Implement automation solutions to streamline data processing and model deployment workflows. - Ensure observability and monitoring of systems, providing insights into performance and reliability. - Utilize AWS services such as S3, Lambda, and networking components for data storage, processing, and permissions management. - Collaborate with DevOps teams to deploy and manage applications in Linux environments. - Support Kubernetes and Argo workflows for scalable and efficient ML model training and deployment. - Manage AWS permissions and network configurations to ensure data security and compliance. - Maintain version control of codebase using Git and enforce best practices for code documentation and production readiness. - Collaborate with data scientists to develop small UI tools for querying data from databases and AWS S3. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Proficiency in Python programming language with a focus on ML data wrangling and automation. - Strong experience with AWS services, including S3, Lambda, networking, and permissions management. - Hands-on experience with Linux environments and Shell Scripting. - Familiarity with Kubernetes and Argo for container orchestration and workflow management (preferred). - Knowledge of Git for version control and collaboration. - Excellent communication skills and ability to work in a collaborative team environment. - Strong problem-solving skills and attention to detail. - Ability to prioritize tasks and work efficiently in a fast-paced environment. Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
We are currently looking on behalf of one of our important clients for a Software Test Engineer. The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Plan & execute software tests as a part of Embedded software development, ensuring thorough coverage of functionality & performance. Create comprehensive test specifications & implement corresponding module, function & system tests. Set up & maintain test rigs & ensure that they are optimized for efficiency & reliability. Expand test automation capabilities to enhance the efficiency & effectiveness of testing procedures. Collaborate closely with other R&D teams to align testing efforts with project goals & milestones. Your Skills & Experience: From 2 to 7 years of relevant professional experience as a Software Tester, Test Engineer or Developer. A strong understanding of Software Testing principles & methodologies. Skilled & experienced in Python & Git. Experience with Project & Requirements Management tools. Ideally familiar with Jenkins, Gitlab CI & Pytest & Unittest frameworks. Any experiences in the areas of Test Automation & Embedded Software are considered a plus. Your Profile: Completed University Degree, ideally in the area of Computer Science, Electrical Engineering, or similar. Ideally an ISTQB Certified Tester. Detailed, analytical & quality-oriented with strong problem-solving skills. Fluent in English (spoken & written), German or French language skills are considered very advantageous.
07/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Software Test Engineer. The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Plan & execute software tests as a part of Embedded software development, ensuring thorough coverage of functionality & performance. Create comprehensive test specifications & implement corresponding module, function & system tests. Set up & maintain test rigs & ensure that they are optimized for efficiency & reliability. Expand test automation capabilities to enhance the efficiency & effectiveness of testing procedures. Collaborate closely with other R&D teams to align testing efforts with project goals & milestones. Your Skills & Experience: From 2 to 7 years of relevant professional experience as a Software Tester, Test Engineer or Developer. A strong understanding of Software Testing principles & methodologies. Skilled & experienced in Python & Git. Experience with Project & Requirements Management tools. Ideally familiar with Jenkins, Gitlab CI & Pytest & Unittest frameworks. Any experiences in the areas of Test Automation & Embedded Software are considered a plus. Your Profile: Completed University Degree, ideally in the area of Computer Science, Electrical Engineering, or similar. Ideally an ISTQB Certified Tester. Detailed, analytical & quality-oriented with strong problem-solving skills. Fluent in English (spoken & written), German or French language skills are considered very advantageous.