Lavori attuali relativi a Dataops & Mlops Engineer - Rome - Allsides
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Mlops & Dataops Engineer — Scalable Ml Pipelines
2 giorni fa
Rome, Italia Allsides A tempo pienoOverviewA technology company focused on 3D content is seeking a DataOps & MLOps Engineer in Bressanone, Italy. This role involves building infrastructure for data and ML workflows, focusing on data storage, ML pipeline automation, and ensuring reproducibility. Candidates should have strong Linux knowledge and experience with data systems and ML orchestration...
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AI Systems Engineer
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Rome, Italia Jobbit A tempo pienoA technology company in Italy is seeking an Artificial Intelligence Specialist to design and implement AI models and fine-tune large language models (LLMs). The role requires strong programming skills, particularly in Python, and experience with MLOps. Candidates should have at least 3 years of experience in developing and deploying AI/ML systems. A...
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Rome, LAZIO, Italia Selefor A tempo pienoChi siamo:Selefor è leader nella consulenza HR e nella trasformazione digitale. Promuoviamo l’innovazione attraverso progetti ad alto contenuto tecnologico e sosteniamo la crescita di aziende dinamiche e di professionisti/e. Per una realtà di eccellenza su Roma, cerchiamo una/un SPEECH AI Engineer – ASR & TTS Specialist esperta/o in tecnologie...
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Rome, LAZIO, Italia Selefor A tempo pienoChi siamo:Selefor è leader nella consulenza HR e nella trasformazione digitale. Promuoviamo l’innovazione attraverso progetti ad alto contenuto tecnologico e sosteniamo la crescita di aziende dinamiche e di professionisti/e. Per una realtà di eccellenza su Roma, cerchiamo una/un SPEECH AI Engineer – ASR & TTS Specialist esperta/o in tecnologie...
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Machine Learning Engineer
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Senior ML Engineer: Production-First AI
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Rome, Italia Motork A tempo pienoUna azienda tecnologica automobilistica è alla ricerca di un Machine Learning Engineer per guidare lo sviluppo di sistemi di machine learning. Il candidato ideale avrà 3-4 anni di esperienza nella costruzione e nel deployment di modelli. La posizione richiede competenze in Python e framework moderni. L'azienda offre un ambiente che valorizza l'autonomia e...
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Senior Staff Engineer
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Rome, Italia Turing A tempo pienoOverviewDescrizione dell’offerta di lavoro. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers by accelerating frontier research with high-quality data, advanced training pipelines,...
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Aerospace Ml Engineer: Model Architecture
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Rome, Italia Leonardo A tempo pienoDescrizione dell’offertaDescrizione dell’offerta di lavoro: Un'importante azienda nel settore tecnologico cerca un candidato motivato come Junior Machine Learning Engineer per analizzare e risolvere problemi tecnici complessi. Le responsabilità includono l'analisi tramite AI / ML, definizione di architetture di modelli e integrazione con i sistemi...
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DevOps Engineer
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Rome, Italia Altro A tempo pienoWe’re looking for a DevOps Engineer to help build, scale, and operate cutting-edge AI and High-Performance Computing (HPC) infrastructure.This role is ideal for someone who thrives in production environments, enjoys owning infrastructure end-to-end, and wants to work at the intersection of AI, cloud, and high-performance systems.What You’ll DoOperate and...
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Ai Engineer
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Rome, Italia Bip A tempo pienoIl nostro team di Artificial Intelligence Engineering si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.Entra nel nostro mondo.La figura dell’AI Engineer progetta soluzioni software di Machine...
Dataops & Mlops Engineer
3 giorni fa
Overview ALLSIDES is redefining how the world experiences 3D content. We combine physically accurate scanning and generative AI to power content creation workflows for e-commerce, virtual environments, and immersive experiences. Our clients include global brands like adidas, Meta, Amazon, and Zalando. We operate a rapidly scaling photorealistic 3D scanning operation, capturing tens of thousands of assets annually while training next-generation AI models. As an NVIDIA Inception member, we collaborate with leading research institutions and actively participate in top-tier conferences in 3D computer vision and AI. More info: | Position Overview We’re looking for a DataOps & MLOps Engineer to build the infrastructure that powers our data and ML workflows. You’ll focus on data storage and movement, dataset versioning, ML pipeline automation, experiment tracking, and ensuring reproducibility across our 3D reconstruction and training workloads. Main ResponsibilitiesDesign and manage data storage systems for large datasets (multi-TB image data, 3D assets, training data) Build efficient data access patterns and movement strategies for distributed training and experimentation Implement dataset versioning and lineage tracking for reproducibility Set up and maintain experiment tracking and model registry infrastructure (MLflow, Weights & Biases) Build ML pipelines for data preprocessing, training, validation, and model registration (Kubeflow, Airflow, Prefect) Support distributed training workflows across multi-GPU clusters (PyTorch Distributed, Horovod, Ray) Profile and optimize training pipelines: data loading bottlenecks, batch sizing, GPU memory utilization Ensure reproducibility of experiments: environment pinning, data versioning, artifact management Manage artifact storage and distribution (Docker registries, model registries, package repositories) Build tooling to improve developer productivity for ML workflowsQualificationsStrong Linux knowledge Experience with data storage systems and large file handling (object storage, NFS, distributed filesystems) Knowledge of dataset versioning tools (DVC, Delta Lake, or similar) Experience with ML pipeline orchestration (Airflow, Prefect, Kubeflow) Familiarity with experiment tracking tools (MLflow, Weights & Biases, Neptune) Understanding of distributed training frameworks and patterns Experience with containerization (Docker) and CI / CD pipelines Knowledge of Python dependency and environment managementNice to HaveExperience with model registries and deployment workflows Familiarity with data quality validation frameworks Knowledge of 3D graphics processing or computer vision workflowsWhat we offerCompensation that reflects your experience including stock-options Lunch voucher for working days We assist with relocation Flexible working hours and work-from-home policy Family-friendly environment Amazing office space in South Tyrol, located at the Durst Group Personal and professional growth opportunities You don\'t have to tick every box to apply, your drive and passion matter mostLocation This role is located on-site in Brixen / Bressanone, Italy. If you are interested, please apply with your CV attached to Job Reference J-18808-Ljbffr Creare un avviso di lavoro per questa ricerca #J-18808-Ljbffr
