Act as the first point of contact for IT support requests, managing and resolving tickets via JIRA. Responsibilities include hardware and software troubleshooting, IT asset lifecycle management, and coordinating onboarding and offboarding processes.
Lingaro
22 Remote Job Openings at Lingaro
Lead the development of supply chain analytics offerings focusing on planning, forecasting, and inventory optimization. Act as a subject matter expert to translate client business challenges into data-driven AI and analytics solutions.
Develop and grow the Supply Chain Analytics practice by translating business challenges into data-driven solutions. Act as a subject matter expert in planning and procurement to support client advisory, pre-sales, and delivery excellence.
Design, model, and develop the GCP data ecosystem, including data lakes and warehouses, for a client. This involves gathering requirements, optimizing data storage architectures, and mentoring junior data engineers.
Design and implement scalable data processing systems and pipelines on the Azure platform to ingest and transform data from various sources. Collaborate with cross-functional teams to optimize data storage architectures and provide structured data for analysis and modeling.
Lead and mentor a group of consultants to drive professional growth and high team performance. Provide technical guidance and manage IT service levels, including SLAs and OLAs, to ensure smooth project delivery.
The consultant will design and deliver edge-to-cloud industrial architectures, bridging OT systems with cloud platforms to enable data-driven manufacturing use cases. They will provide technical leadership, validate implementation plans, and ensure robust cybersecurity and interoperability across global manufacturing sites.
Coordinate internal resources and third-party vendors to ensure projects are delivered on time, within scope, and within budget. Manage stakeholder relationships, perform risk management, and provide consistent project updates regarding strategy and progress.
The team leader is responsible for managing and mentoring a team of data engineers while ensuring high customer satisfaction and project delivery. They will also collaborate with account teams on business development, presales activities, and competency strategy implementation.
The consultant will build and maintain complex LCA models while translating findings into actionable business recommendations and sustainability KPIs. They will also lead technical initiatives to automate LCA processes using cloud platforms and AI-driven solutions.
You will collaborate with data science teams to implement machine learning models into production and design innovative GenAI solutions. Additionally, you will be responsible for managing industrialized processing pipelines and defining best practices for MLOps and LLMOps frameworks.
The role involves collaborating with data science teams to implement machine learning models into production and designing industrialized processing pipelines. You will also be responsible for delivering GenAI solutions and managing the lifecycle of ML/LLM operations.
Support the build of end-to-end Generative AI applications such as chatbots and Talk-to-Data systems. Implement RAG pipelines and perform model selection and fine-tuning for various models.
The role involves working on end-to-end classification and forecasting use cases, from data preparation and model development to evaluation and basic deployment support. Responsibilities also include building visualizations, delivering reports to stakeholders, and collaborating with engineers to move models into production.
The role involves partnering with leadership to shape customer Data Management (DM) strategy and leading the development of modern DM solutions covering ingestion, transformation, orchestration, and governance. Key duties include driving innovation through experimentation, POCs, and leveraging emerging technologies like AI/ML, while also coaching junior team members.
The core responsibilities involve managing technical projects within the organization. Further details on specific duties are not provided in the description.
The role involves designing, developing, and maintaining server-side logic, implementing scalable components and APIs, and working extensively with relational and/or NoSQL databases for efficient data storage and retrieval. Responsibilities also include integrating third-party APIs, implementing security best practices, optimizing code for speed, and collaborating with front-end teams.
The role involves significant people management, including recruiting, leading, supporting a high-performing team, and ensuring their growth through feedback and goal setting. Additionally, the leader will be responsible for Data Science and AI Competency development, strategy implementation, and supporting business development and profitability efforts.
The role involves designing, developing, and maintaining cloud-native applications primarily on Google Cloud Platform using Python and related backend technologies. Key tasks include building robust backend services, working with PostgreSQL, containerizing applications with Docker, and implementing CI/CD pipelines.
Designing, developing, and maintaining server-side logic for web applications while implementing scalable components and APIs. Collaborating with front-end developers and conducting thorough testing to ensure seamless integration and performance optimization.
The Solution Architect will lead the delivery of Data Integration and Analytics solutions for customers on major cloud platforms. They will prepare complete solution designs, make critical technological decisions, and support application development teams throughout the project lifecycle.
The role involves providing technical guidance and mentorship to team members while coordinating reporting solution building with Back-end and Front-end BI Developers. Key tasks include leading the design and architecture of BI reporting solutions, reviewing technical designs, and ensuring delivered solutions meet quality criteria.