Team Architect Augmented Analytics

Il y a 5 mois


Montigniessursambre, Belgique TrendMiner Temps plein

**Hasselt, Belgium**:
**About the job**:
Our story goes beyond technology. We put people first - employees, customers, and partners. We build strong teams and cultivate relationships that last. We provide incomparable products, solutions, services, and technical excellence for our customers. We are a team of over 5,000 colleagues across 70+ countries who value inclusion, integrity, and innovation. Our size means everyone has an impact and every voice is valued. _We are big enough to compete and small enough to care._

TrendMiner, a Software AG company, is a leading provider of Analytical SaaS platform that enables industrial companies to improve their operational performance through data-driven insights. We are a dynamic and fast-growing company based in Hasselt, Belgium, with a global customer base spanning across several industries, including chemicals, oil and gas, and pharmaceuticals.

**Be you, join us.**:
We are seeking a highly skilled and experienced Team Architect to lead our Augmented Analytics team. As the Team Architect, you will play a crucial role in shaping and implementing the technical vision, strategy, and architecture for our cutting-edge augmented analytics solutions. This role requires a deep understanding of machine learning techniques, a proven track record in architecting complex systems, and the ability to lead a talented team of data scientists and engineers.

**Essential Functions**:
***
- As a key member of our team, you will report directly to the Engineering Manager, playing a pivotal role in our collective effort to foster growth and enhance our platform.
- Design end-to-end machine learning pipelines that encompass data ingestion, feature engineering, model training, and deployment.
- Collaborate closely with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders to understand requirements and translate them into technical solutions.
- Collaborate closely with the team, serving as a source of inspiration and actively contributing to the professional development of your colleagues.
- Take a lead role in defining and refining the team’s technical workflow, ensuring efficiency and adherence to best practices in alignment with our overarching objectives.
- Champion the integration of DevOps best practices into the team’s mindset, promoting a culture of continuous improvement and streamlined collaboration.
- Assume the role of a technical coach for your peers, leveraging your expertise to elevate the overall technical capabilities of the team.
- Play a crucial part in shaping the architecture of our platform by actively contributing to the definition process in collaboration with our Chief Architect, ensuring a cohesive and forward-thinking technical foundation for our endeavours.
- Identify opportunities for innovation and research to enhance the capabilities of our augmented analytics solutions.

**Responsibilities**:
***
- Utilize proven experience to design and build robust microservices and cloud-native platforms that align with our business objectives and scalability requirements.
- Demonstrate expertise in machine learning, streaming, time-series, and big data analytics, leveraging this knowledge to contribute to the enhancement of our data-driven decision-making capabilities.
- Display a strong eagerness to learn modern technologies and actively share your expertise with the team, fostering a collaborative and innovative work environment.
- Exhibit a deep passion for software development, innovation, and creative thinking, driving excellence in both individual and team contributions.
- Act as a team player, promoting a positive and collaborative attitude while working towards achieving shared goals and delivering results.
- Demonstrate the ability to work autonomously, taking initiative and ownership of assigned tasks and projects.
- Showcase a broad interest in technologies, staying abreast of industry trends and exploring new tools and frameworks that may benefit the team and the organization.
- Be very fluent in English, and knowing other languages is a plus, facilitating effective communication within a diverse and global team.
- Experience with some other technologies in our product portfolio is advantageous, particularly in Kubernetes, Java, Spring Boot, Angular, Golang, Python, NET/C#, or similar technologies.

**What You Bring Along**:
***
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 8+ years of experience in architecture, design, and implementation of analytics solutions.
- Proficient in programming languages such as Python AND Java.
- Deep knowledge of machine learning frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong expertise in data modelling, ETL processes, and data warehousing.
- Proficiency in selecting and implementing analytics and business intelligence tools.
- Experience with machine learning integration int



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