Data & ML Platform Engineer

Are you ready to revolutionise the world with TEKEVER? 🚀🌍

Join us, the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. We offer a unique surveillance-as-a-service solution that provides real-time intelligence, enhancing maritime safety and saving lives. TEKEVER is setting new standards in intelligence services, data and AI technologies.

Become part of a dynamic team transforming maritime surveillance and making a significant impact on global safety. 🌐

At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to facilitate critical decisions.

If you’re passionate about technology and eager to shape the future, TEKEVER is the place for you! 👇🏻🎯

Job Overview:

As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers our data processing pipelines and machine learning workflows that support our data-driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering.

What will be your responsibilities:

• Data and ML infrastructure: Design and implement scalable data and ML infrastructure using modern cloud and on-prem distributed technologies and frameworks.
  
• Data Pipeline Development: Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources.
  
• Database Management: Manage and optimize databases and data warehouses to ensure data integrity, performance and availability.
  
• Data Integration: Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis.
  
• Self-Service Tools: Develop self-service tools that enable stakeholders to extract insights from Data and Machine Learning models.
  
• Data & AI Platform development & expansion: support the expansion of our Data & AI Platform.
  
• Security & Compliance: Ensure data security, privacy, and compliance.
  
• Data Quality Assurance: Implement data validation and quality assurance processes to ensure the accuracy and consistency of data.
  
• Collaboration: Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support.
  
• Monitoring & Performance Optimization: Implement monitoring, observability, and alerting for data and ML systems and optimize for performance, reliability, and cost-effectiveness.
  
• Documentation: Maintain comprehensive documentation of platform components, APIs, and workflows to ensure knowledge sharing and user adoption (e.g. data pipelines,database schemas, Machine Learning systems, etc.)
  

Profile and requirements:

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Experience: 3+ years of experience in data & ML platform engineering or a similar role.

Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering scalable and efficient data solutions.

Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders.

Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy.

Adaptability: Ability to work in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

• Technical Skills:
• Proficiency in programming languages such as Python, Go, Java, or Rust.
• Strong knowledge of containerization technologies (e.g. Docker) and orchestration systems (e.g. Kubernetes) in production environments.
• Experience with SQL,database management systems (e.g., MySQL, PostgreSQL, SQL Server), data modeling and schema design.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Google Cloud certification is preferred.
• Familiarity with big data technologies (e.g.Spark),data warehousing solutions (e.g., Redshift, Snowflake), data pipeline orchestration (e.g. Airflow), and database systems (SQL and noSQL).
• Design and manage MLOps pipelines to support model training, deployment and monitoring at scale.
• Design and manage MLOps pipelines to support model training, deployment and monitoring at scale.
• Experience implementing observability stacks and logging pipelines (e.g., Prometheus, Grafana, Loki, ELK).
• Experience with IaC frameworks (e.g. Ansible, Terraform),
• Understanding of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.

What we have to offer you:

• An excellent work environment and an opportunity to make a difference;
• Salary Compatible with the level of proven experience.

Do you want to know more about us ?

Visit our LinkedIn page at https://www.linkedin.com/company/tekever/