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¡Apiux está buscando un/a Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA para TELETRABAJAR!!! Somos una empresa tecnológica especializada en apoyar a organizaciones de todas las…
Юзтех — группа аккредитованных ИТ-компаний полного цикла разработки с многолетней экспертизой в передовых технологиях: DWH, Big Data, AI/ML, Blockchain, BI, предиктивная аналитика, цифровые двойники производства и…
Design and evangelize AI/ML solutions for healthcare clients, building predictive models, NLP workflows, and MLOps pipelines while ensuring compliance and scalability.
Senior Data Engineer at Alison.ai (Tel Aviv) designs, builds, and optimizes the data pipelines and infrastructure powering the company's AI-driven creative intelligence platform — handling large-scale data ingestion, transformation, orchestration, and quality using SQL, cloud data platforms, and workflow tools.
The Senior MLOps Engineer will work with data scientists and engineers to design, build, deploy, and operate scalable AI/ML platforms, creating CI/CD pipelines, REST APIs in Python, and managing containerized workloads on Azure, while integrating vector search and generative AI solutions.
A 6-month internship or 1-year apprenticeship at a Paris defense startup, where the intern builds and automates infrastructure across cloud, bare metal and IoT using Terraform, Ansible and Kubernetes, maintains GitHub Actions CI/CD pipelines, and runs R&D proofs of concept for deploying cloud-native tech on tactical platforms.
This founding Cloud SRE role involves building and scaling the reliability foundations for Wayve's AI model development and GPU compute platforms. The engineer will define operational standards, manage incident response, and automate infrastructure to support large-scale autonomous driving AI workloads.
As a founding Staff SRE, you will build and scale the reliability foundations for Wayve's AI model development and GPU compute infrastructure. You will define operational standards, manage large-scale Kubernetes clusters, and ensure the performance of distributed systems supporting autonomous driving technology.
The Staff Machine Learning Engineer (Ops) will oversee the end-to-end model development and release lifecycle for autonomous driving AI. This role involves optimizing ML delivery pipelines, enforcing quality gates, and collaborating with platform and CI/CD teams to ensure robust model deployment.
Senior Software Engineer building the data flywheel platform that turns world-scale fleet data into training data and powers foundation-model training/evaluation at Wayve, using Python, distributed data processing (Ray, Spark/Databricks), and workflow orchestration.
The Senior Machine Learning Engineer will design, build, and deploy personalization models to improve user recommendations and retention within the Too Good To Go marketplace. The role involves working with a Python-based stack including Metaflow, Airflow, and cloud infrastructure to drive marketing personalization efforts.
A pre-sales engineer at Databricks demonstrates the Databricks Data Intelligence Platform to UK clients, builds custom solutions using PySpark/Python/Java/Scala, and advises on big data architecture, traveling 20-30% of the time.
Senior Solutions Engineer at Databricks demonstrating the Data Intelligence Platform to UK&I digital-native firms, running hands-on PoCs and proofs to solve complex data/AI challenges using Spark, cloud tools, and AI workflows.
MLOps Engineer (5-8+ yrs) working for Hilton Grand Vacations, onsite in Hyderabad on EST hours. Builds and operates ML platform tooling: end-to-end training/deployment pipelines, CI/CD for ML, model registry, serving, and monitoring/drift detection on Azure. Core stack: Azure ML/Databricks, MLflow, Kubernetes, Python, SQL.
The Data Platform Solution Architect will assess the existing Azure‑based data platform, define target‑state architecture, and guide engineering teams on Azure Synapse, Databricks, Delta Lake, and related services while ensuring governance, scalability, and migration to a lakehouse model.
Senior MLOps Solutions Engineer on the Pure Solutions team who designs and automates end-to-end MLOps pipelines and GPU-accelerated AI/ML reference architectures, integrating Pure Storage platforms (FlashBlade, FlashArray, Portworx) with Kubeflow, MLflow, and Ray. Day to day: CI/CD-driven pipeline automation, Terraform/Ansible-based infrastructure, and optimizing LLM inference with tools like NVID
Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
Hands-on Lead Data Engineer owning the Data Core of a Customer Intelligence & Personalization platform built on a Golden Record from banking, ecosystem and external data. Designs Bronze/Silver/Gold layers, builds ELT pipelines and transformations with SQL, dbt and Python, and sets standards for data quality, lineage and metadata.
Lead a team of data scientists to build and deploy AI models for a global betting platform, focusing on data analysis, model development, and production optimization.
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