Seargin is a dynamic multinational tech company operating in 50 countries. At Seargin, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate.
ML OPS
Remote
UE
B2B
Senior
Capture and analyze the business context and goals specific to Pharma R&D to ensure alignment between technology and business needs
Develop a comprehensive Data Strategy that aligns with business goals, ensuring effective use of data assets to drive organizational success
Identify and understand the data science needs of various stakeholders, including consumers and use cases, to inform data strategy decisions
Capture and analyze AI/ML use cases, ensuring that potential applications align with business objectives and enhance operational efficiency
Document and analyze data flows within the organization, identifying bottlenecks and areas for improvement in data processing and accessibility
Collaborate with cross-functional teams to co-create a platform strategy that supports data initiatives and optimizes technology resources
Mentor and guide team members and stakeholders on data mesh principles, promoting a decentralized approach to data management and accessibility
Design and implement Data Governance policies and frameworks to ensure data quality, compliance, and ethical use of data across the organization
Develop a strategy for effective Metadata and Master Data management, ensuring data consistency and reliability across systems.
Create comprehensive documentation of the data strategy, including playbooks, guidelines, and whitepapers, to serve as a reference for stakeholders
Engage with key stakeholders to gather input and feedback on data strategies and governance frameworks, ensuring buy-in and alignment with organizational objectives.
Establish metrics and KPIs to monitor the effectiveness of data strategies and governance initiatives, providing regular reports to leadership on progress and impact
Employment based on a B2B contract
Opportunity to work in a stable, dynamically developing international company
Chance to participate in interesting projects and work with the latest information technologies
Attractive remuneration rates offered
Involvement in the most prestigious international projects
Access to Multisport benefits and private healthcare services
Extensive experience in performance testing with a proven track record of successful optimizations across different projects
Solid understanding of performance testing methodologies, including stress, load, endurance, and scalability testing, with the ability to select the right approach for each project.
Proven experience in planning testing efforts, breaking down complex tasks into manageable stories, and estimating resources and timelines
Proficiency in selecting and using performance testing tools like JMeter, LoadRunner, Gatling, or similar, as well as APMs and profilers
Experience in running performance tests in a cloud environment, understanding cloud-specific challenges and optimization techniques
Ability to identify and troubleshoot performance problems across application, database, network, and infrastructure levels using appropriate tools
Familiarity with client-side performance testing techniques, including browser-based performance analysis and user experience testing
Experience in automating performance tests and integrating them into CI/CD pipelines, using tools like Jenkins or GitLab CI.
Expertise in tuning and optimizing systems under test to meet or exceed defined performance targets
Strong understanding of modern application architectures, including microservices, distributed systems, and cloud-native applications, to tailor testing efforts accordingly
Basic understanding of risk management and the ability to identify and mitigate performance-related risks throughout the testing lifecycle
Ability to create performance testing strategies, plans, and high-level overviews, as well as detailed reports and dashboards tailored to different audiences
Excellent communication skills to collaborate with cross-functional teams and present performance results to both technical and non-technical stakeholders.
Willingness to share expertise and best practices with colleagues, helping to elevate the overall team's performance testing capabilities
Experience in mentoring junior testers or team members, fostering growth and knowledge sharing within the team
Familiarity with Agile processes (Scrum, Kanban, etc.), with the ability to adapt performance testing workflows within an Agile development framework
Proficiency in developing and implementing Enterprise Architecture frameworks that provide a structured approach to align IT strategy with business goals, ensuring scalability, integration, and efficient data management across the organization
Expertise in designing Information Architecture to organize and structure data in a way that enhances accessibility, usability, and data flow within systems, facilitating informed decision-making and efficient data usage
Strong understanding of Software Architecture principles to design scalable, maintainable, and high-performance software systems that support data processing and analytics, including the integration of AI/ML components
In-depth knowledge of Data Governance practices to establish policies, standards, and frameworks that ensure data quality, compliance with regulations, and responsible data stewardship across the organization
