Senior Software Engineer; Medical Devices; Product Design;
Software Engineers will be involved in collaborating with internal departments such as Sensors to design and implement software components for both new and existing advanced in-house systems, aimed at enhancing manufacturing efficiency and quality control. This involves troubleshooting and resolving existing technical issues, as well as innovating new features.
Writing, technical software documentation (e.g. user guides, design documents).
Keeping up to date with the latest developments in relevant technologies and methodologies.
Software Engineers will have some of the following experience3+ years of experience designing medium-large scale applications involving hardware integration in LabVIEW.Certified LabVIEW Architect (CLA). 1+ years of experience working within a scrum framework as part of an agile implementation.1+ years of experience working with source code control, specifically Git.Experience working with motion control systems.Experience working with National Instruments (NI) hardware.Working within a lead....Read more...
As a Senior Data Scientist and Machine Learning Engineer, you will play a pivotal role in designing, implementing, and deploying scalable data-driven solutions on the Azure platform. Leveraging your expertise in Azure ML, Azure DevOps, OpenAI on Azure, Python, systems engineering/architecture, Data Factory/Fabric, MLOps, and LLMs/NLP, you will collaborate with cross-functional teams to drive innovation and deliver actionable insights to our clients.
Key Responsibilities:
Design and develop end-to-end machine learning pipelines on Azure platform, from data ingestion to model deployment.
Utilize Azure ML to build and deploy predictive models, ensuring scalability, reliability, and performance.
Implement best practices in MLOps to streamline model development, deployment, and monitoring processes.
Collaborate with software engineers to integrate machine learning solutions into production systems using Azure DevOps.
Architect and optimize data processing workflows using Azure Data Factory/Fabric, ensuring efficiency and reliability.
Stay updated with the latest advancements in machine learning, natural language processing, and Azure technologies, and incorporate them into our solutions.
Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and innovation.
Requirements:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
5-10 years of hands-on experience in data science, machine learning, and software engineering.
Proven expertise in Azure platform services, including Azure ML, Azure DevOps, and Data Factory/Fabric.
Extensive experience with Python programming language for data analysis, modeling, and deployment.
Strong understanding of systems engineering principles and architecture design, with the ability to optimize for scalability and performance.
Deep knowledge of MLOps practices, including version control, continuous integration, and automated testing.
Familiarity with LLMs/NLP techniques and libraries, such as OpenAI on Azure, for natural language processing tasks.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Demonstrated ability to adapt to new technologies and learn quickly in a fast-paced environment.
English Mandatory
If interested, please get in touch via contact details provided or click “Apply” to forward an up-to-date copy of your CV.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
We are looking for an experienced Senior Data Architect to join one of our clients teams.
Role and Responsibilities:
Working as a part of the PwC CZ Cloud Transformation team and our global network of experts, you will be responsible for building modern data platforms as well as designing, developing, deploying, and maintaining scalable production-grade data transformation pipelines.
You will need to deep dive into solution architecture, data architecture, data management and warehousing, ETLs, data governance and data versioning. All that packed into fully automated DevOps pipelines. All in collaboration with colleagues participating within those areas as well as clients to deliver production ready data driven solutions.
Requirements:
Strong previous experience working in a data architecture and data-driven role (either as an external consultant or an in-house expert).
Understanding of what makes sense to be used for specific scenarios and use cases from an architecture perspective, while considering also cost efficiency of the proposed architecture.
Knowledge of various patterns and standards, how to design a scalable, secured and high performing architectures. Deliver and implement it afterwards together with a delivery team.
BSc or MSc University degree (preferably in Math, Computer Science, Economics, Physics, Operational Research or related)
Previous or current hands-on experience (university and personal projects do not count) with data analysis tools and technologies (SQL - must, Python - must, PySpark - advantage)
Knowledge of tools and programming languages used in large data sets analysis in Hadoop ecosystem (Spark, Hive, Pig) on an Data Architect level.
Experience with building data pipelines to integrate various applications and systems (ETL)
Willingness to learn new tools and software solutions.
Very good command of English
Strong interpersonal and communication skills - essential in day-to-day cooperation with clients and the team
Additional Requirements (nice to have):
Azure Certifications (AZ-303,AZ-304, AZ-305,…)
Ability to design and model data structures to support complex systems efficiently
Experience with building real-time/streaming data pipelines
Previous experience with development using agile methodologies like Scrum or Kanban Interest in artificial intelligence or data science
GitHub profile
What do we offer:
Do you enjoy the freedom and dynamics of a Start-up but also like having the advantage of the global presence of a leading multinational company? Thanks to our unique culture and working environment, we are bringing together the best of both worlds.
Chance to team up with true technology experts and become a part of one of the most exciting and ambitious teams within the PwC network.
Opportunity to travel the world and build your own global network of business connections.
Continuous learning and training programs (both in-house and certified courses) tailored to your personal needs, focused on enhancing your knowledge, skills and abilities.
Preferred equipment and platform provided for efficient work.
Duration of project: 3 months
Expected Start date: anywhere between 1st or 3nd week of April
Remote vs Onsite: 70% onsite in Saudi Arabia, 30% remote (all expenses regarding travelling will be covered)
Working hours: According to KSA (Saudi Arabia Standard Time)
If interested, please get in touch via contact details provided or click “Apply” to forward an up-to-date copy of your CV.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...