Lavori attuali relativi a Senior Machine Learning Engineer - Milano - Skillvue
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(Senior) Machine Learning Engineer
2 settimane fa
Milano, Italia Prima A tempo pienoJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaAre you looking for a new challenge?Fancy helping us shape the future of car insurance?Since 2015, we've been using our love of data and tech to rethink car insurance and bring drivers a great experience at a...
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Senior Machine Learning Engineer
2 giorni fa
milano, Italia Prima A tempo pienoJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaAre you looking for a new challenge?Fancy helping us shape the future of car insurance?Prima could be the place for you.Since 2015, we’ve been using our love of data and tech to rethink car insurance and...
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Senior Machine Learning Engineer
4 giorni fa
milano, Italia Prima A tempo pienoJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaAre you looking for a new challenge?Fancy helping us shape the future of car insurance?Prima could be the place for you.Since 2015, we’ve been using our love of data and tech to rethink car insurance and...
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Senior Machine Learning Engineer
3 settimane fa
Milano, Italia Prima A tempo pienoJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaJoin to apply for the Senior Machine Learning Engineer - Italy role at PrimaAre you looking for a new challenge?Fancy helping us shape the future of car insurance?Prima could be the place for you.Since 2015, we've been using our love of data and tech to rethink car insurance and...
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Senior Machine Learning Engineer
4 giorni fa
Milano, Italia Prima A tempo pienoJoin to apply for theSenior Machine Learning Engineer - Italyrole atPrimaJoin to apply for theSenior Machine Learning Engineer - Italyrole atPrimaAre you looking for a new challenge?Fancy helping us shape the future of car insurance?Prima could be the place for you.Since ****, we've been using our love of data and tech to rethink car insurance and bring...
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Senior Machine Learning Engineer
4 giorni fa
Milano, Italia Gft Technologies Se A tempo pienoSiamo alla ricerca di un/una Senior Machine Learning Engineer con esperienza, pronto/a a guidare progetti avanzati di AI e a supportare un team tecnico e i clienti in ambito AI e Machine Learning.Responsabilità: Sviluppare pipeline dati per modelli statistici e analitici complessiIndustrializzare la data preparation (data cleaning, feature selection...
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Machine Learning Engineer
4 settimane fa
Milano, Italia JR Italy A tempo pienoWe are looking for an experienced Freelance Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI to contribute to an exciting AI-driven project. This contract role offers the chance to work with cutting-edge cloud technologies, building and optimizing machine learning solutions at scale. Key Responsibilities: Design, develop,...
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Senior Machine Learning Engineer
2 giorni fa
milano, Italia GFT Technologies Italia A tempo pienoSiamo alla ricerca di un/una Senior Machine Learning Engineer con esperienza, pronto/a a guidare progetti avanzati di AI e a supportare un team tecnico e i clienti in ambito AI e Machine Learning.ResponsabilitàSviluppare pipeline dati per modelli statistici e analitici complessi Industrializzare la data preparation (data cleaning, feature selection &...
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Senior Machine Learning Engineer
4 giorni fa
milano, Italia GFT Technologies Italia A tempo pienoSiamo alla ricerca di un/una Senior Machine Learning Engineer con esperienza, pronto/a a guidare progetti avanzati di AI e a supportare un team tecnico e i clienti in ambito AI e Machine Learning.ResponsabilitàSviluppare pipeline dati per modelli statistici e analitici complessi Industrializzare la data preparation (data cleaning, feature selection &...
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Machine Learning Engineer
2 giorni fa
milano, Italia Technical Hunters srl A tempo pienoLuogo di lavoro: MilanoPer conto di una realtà operante nel campo della consulenza aziendale e informatica, che svolge il ruolo di integratore e coordinatore tra la prospettiva funzionale e quella tecnologica, combinando visione strategica e la comprensione dei processi, siamo alla ricerca di un Machine Learning Engineer.ResponsibilitiesSviluppare algoritmi...
Senior Machine Learning Engineer
11 ore fa
Role overviewYou will own end-to-end ML systems: model training, fine-tuning, deployment, monitoring, and cost/performance optimization.Partner closely with organizational psychologists, people scientists, and software engineering to productionize LLMs, real-time conversational agents, and ML pipelines.You will report to the Head of AI & Science and drive engineering best practices, reliability, and reproducibility across the stack.Key responsibilitiesDesign, build, and maintain end-to-end ML platforms and pipelines: data ingestion, feature engineering, training, validation, deployment, and monitoring.Develop, fine-tune, and deploy LLMs and GenAI services for assessment tasks (prompt engineering, instruction tuning, RLHF/IL, retrieval-augmented generation).Implement scalable, low-latency inference systems (serverless and/or containerized), real-time voice/text conversational agents, and batching strategies for cost-effective throughput.Build infrastructure-as-code (Terraform/CloudFormation) for reproducible environments and secure, compliant deployments.Create automated CI/CD for data, models, and infra (model/data versioning, reproducible training runs, canary/blue-green deployments).Optimize model size and inference cost using quantization, pruning, distillation, sharding, and hardware-aware optimizations.Implement monitoring, observability, drift detection, and alerting for model performance and data pipeline health; run A/B and multivariate experiments to validate model changes.Integrate vector databases, retrieval pipelines, and caching strategies for RAG systems; manage embeddings lifecycle and similarity search performance.Ensure data and model governance: lineage, access controls, privacy safeguards, and auditability.Required qualificationsBachelor or Master's degree in Computer Science or related field.7+ years experience in ML engineering/ML-Ops delivering production ML products.3+ years practical experience training and deploying GenAI/LLMs in production.Strong production experience on AWS (SageMaker, Lambda, ECS/EKS, Bedrock experience is a plus).Proven track record building highly scalable services and real-time systems.Experience with infrastructure-as-code (Terraform, CloudFormation) and container orchestration (Docker, Kubernetes).Hands-on experience with ML pipeline and experiment platforms (MLflow, Weights & Biases, Kubeflow, Airflow/Prefect).Proficiency in Python and TypeScript; solid software engineering practices and Git workflows.Experience implementing model monitoring, drift detection, and A/B testing for ML models.Familiarity with vector DBs (e.g., Qdrant), retrieval pipelines, and prompt/agent design.Fluency in English (C1) and strong communication for cross-functional collaboration.Highly desirableExperience with Bedrock, SageMaker, or other managed LLM infrastructures.Experience of deploying in multimodal models, speech-to-text, text-to-speech, and building voice-based conversational agents.Experience with distributed training frameworks (Horovod, DeepSpeed, ZeRO) and model parallelism.Knowledge of model compression, quantization toolchains (ONNX, TensorRT, Optimum), and cost-optimization strategies.Familiarity with feature stores and online/offline serving (Feast, Tecton).Prior experience in HR tech, assessment, or conversational assessment/coaching systems.Contributions to open-source ML infra or published ML blog posts or conference papers.What we offerOpportunity to shape and scale AI systems at an early-stage company with real product impact.Close collaboration with researchers and product teams to deploy scientifically grounded ML features.Remote work (within the EU timezone)Competitive compensation, flexible work, and budget for conferences, training, and research resources.A collaborative, flat environment where engineering leadership influences product and research direction.#J-*****-Ljbffr
