Jobs at Lingaro

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

The AI Ops Technical Leader drives the transformation of operations support through hands-on technical delivery and team leadership, focusing on AI and data solutions to improve various operational metrics.

You will design, develop, and maintain server-side logic for web apps, ensuring efficient APIs, database management, and security best practices. Collaboration with front-end teams and conducting thorough testing are key responsibilities.

The role involves leading the design and implementation of smart factory architectures, integrating OT and cloud services while ensuring cybersecurity and data flow validation across multiple sites.

Lead supply chain analytics practice area for planning, forecasting, inventory optimization, and procurement. Advise clients, support pre-sales and solution design, guide delivery teams, develop reusable assets and dashboards, mentor consultants, and ensure solutions drive measurable business value and adoption.

Lead development of supply chain analytics and integrated business planning solutions (forecasting, inventory optimization, procurement). Serve as subject-matter expert for client advisory, pre-sales, solution design and delivery. Manage and mentor consultants, build reusable assets, and ensure solutions drive measurable business outcomes and adoption.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

Design and develop scalable backend applications, optimize performance, ensure security, mentor junior developers, and maintain DevOps practices.

Develop and enhance BI solutions using SAP technologies, ensuring best practices in performance, data integration, and training users on SAP Data & Analytics.

Lead design and development of Power Apps (canvas and model-driven) and complex Power BI solutions. Integrate with SharePoint, Dataverse, Power Automate and other data sources, ensure code quality, performance, and scalability, perform code reviews, provide technical guidance, and participate in project planning and estimations.

Design and implement complex Power BI dashboards and Looker reports, develop BigQuery/GCP-backed ETL and data models, ensure code quality and security, conduct code reviews and mentorship, coordinate cross-functional BI implementations, align technical solutions with business requirements, and share knowledge through training and documentation.

Lead AI engineering efforts to build evaluation-driven production AI systems: define evaluation loops, prototype scalable AI building blocks, integrate cross-product capabilities, implement reliability and governance guardrails, and mentor engineers while aligning solutions with product and business outcomes.

The role involves end-to-end data science tasks including model development, evaluating model performance, feature engineering, and collaboration with stakeholders to align technical goals.

The Solution Architect will lead the delivery of data integration and analytics solutions, manage critical technological decisions, and support application development teams, while also engaging with customers and defining development standards.

Design, develop, and maintain server-side Java applications and scalable APIs. Work with relational and NoSQL databases, integrate third-party services, implement security best practices, optimize performance, test backend components, document systems, and collaborate with front-end, QA, and design teams.

The role involves shaping Data Management strategy, leading solutions development, driving AI innovation, building collaborations, and coaching junior team members.

Design, build, and optimize Azure-based data pipelines and storage (data lakes/warehouses). Transform and model large datasets, tune performance, and collaborate with data scientists and stakeholders. Mentor junior engineers and deliver solutions within Agile/Scrum processes.

Responsible for designing and developing a GCP data ecosystem, creating data pipelines, optimizing data architectures, troubleshooting issues, and mentoring junior engineers.

Design, build, and maintain cloud-native backend services on Google Cloud using Python, FastAPI, SQLAlchemy, and PostgreSQL. Containerize with Docker, implement CI/CD via GitHub Actions, collaborate in GitHub, and optionally contribute to frontend work with TypeScript/Next.js.