Jobs at Lingaro

Serve as a senior AI advisor delivering AI/GenAI projects: define architectures and best practices, lead technical teams, create DS/AI offerings, support sales and delivery, evangelize AI across clients and the company, research market trends, and ensure high customer satisfaction throughout the project lifecycle.

The Supply Chain Senior Business Analyst/Consultant supports growth and delivery in supply chain practices, focusing on business analysis, solution design, and client engagement across strategy, technology, and delivery phases.

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.

The role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

The role involves collaborating with Data Science teams to implement and manage ML models, designing GenAI solutions, and automating ML operations, while establishing best practices in ML lifecycle management.

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.

Manage project execution by coordinating resources, developing project plans, ensuring timely delivery, and maintaining stakeholder communication while mitigating risks.

Join a remote team as a Lead Data Scientist focusing on building Generative AI applications. Responsibilities include developing applications, implementing pipelines, and performing model tuning.

Develop and execute test plans and cases, automate testing processes, collaborate with stakeholders, conduct performance testing, and improve QA methodologies.

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 Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

Lead the data engineering team, providing technical expertise, mentorship, and project guidance while optimizing data solutions and ensuring compliance with industry standards.

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.

Design and oversee data architecture, ensure compliance, create data processing frameworks, and lead data engineering teams. Collaborate with stakeholders to meet business needs.Data governance and performance optimization included.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.