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Kurzbeschreibung Unterstütze uns bei der Entwicklung und Wartung unserer Machine-Learning-Modelle! Unser junges Team skaliert derzeit eine hochperformante IT-Infrastruktur für rechenintensive ML-Prozesse und sucht dich…
DEINE ROLLE Produktionsarchitektur gestalten: Du konzipierst und implementierst skalierbare ML-Architekturen für hochverfügbare Enterprise-Anwendungen. Trainings- und Inferenzpipelines entwickeln: Du baust robuste…
Senior ML Engineer in TF1 Group's Datech division, building and industrializing large-scale recommendation systems for the TF1+ streaming platform. Day-to-day work spans model design and training, real-time serving APIs, feature engineering, MLOps, and A/B testing using PyTorch, Python, Airflow, Databricks, Snowflake, Cassandra, and Azure tooling.
Gentera (Banco Compartamos) is hiring a senior Machine Learning Engineer Consultant based in Mexico City (CDMX) to lead the development, implementation, and maintenance of ML systems that support business decision-making, using cloud platforms and DataOps/DevOps/MLOps practices, ideally with GCP and BigQuery experience.
AI developer at Fujitsu in Montreal who designs, builds and deploys AI applications — LLM assistants, autonomous agents and RAG solutions — integrating models like GPT, Claude, Gemini and Llama via APIs, with data pipelines and MLOps practices. Core stack: Python/C#/Java/TypeScript, Git, Agile, cloud platforms.
Senior individual contributor at Fujitsu (1Finity) designing and deploying enterprise AI automation: LLM/RAG solutions, AI agents, and intelligent workflows using Python, SQL, and orchestration frameworks like n8n, LangChain, and Power Platform, plus Power BI reporting and ETL/ELT integration with SAP and Microsoft 365.
Air Arabia is hiring a Senior Machine Learning Engineer in Colombo to design, build, and operate its unified ML platform, bridging Snowflake batch data with real-time inference on Kubernetes. Day to day involves automating ML pipelines with Airflow and CI/CD, building a feature store/model registry, serving models via FastAPI/gRPC, and monitoring with Prometheus, Grafana, and Evidently AI for airl
Data Science (Machine Learning) specialist at MBRF, one of the world's largest food companies, working onsite in Curitiba, Brazil. Day to day: identify business opportunities for ML, build predictive models (regression, classification, clustering, time series), deploy and maintain them in production, and expose them via REST APIs while collaborating with business, tech, and data teams. Preferred s
Senior ML Engineer in Singtel's new AIDA (AI & Data Analytics) unit, owning MLOps workflows, model lifecycle governance, monitoring/dashboards, and production support for ML and GenAI solutions. Core stack: SQL, Databricks, MLflow, Azure ML, Power BI/Tableau, Git and CI/CD.
AI/ML researcher joining BAE Systems Digital Intelligence's Knowledge and Semantics team in Great Baddow, UK (hybrid, 2-3 days onsite). The role leads novel research and prototypes in NLP, LLM/agentic AI applications, knowledge graphs and graph machine learning for defence, security and commercial customers.
Machine Learning Researcher at CFM, a quantitative asset management firm in Paris, building AI-based alpha models. The role blends ML research (model architectures, training recipes) with engineering of distributed, multi-GPU training pipelines using Python and PyTorch.
Designs, builds, and deploys production-grade agentic AI solutions and ML/DL models for Corning's global IT function in Shanghai, using LangGraph, MCP, A2A, Python, Databricks, AWS, and GitLab CI/CD to deliver reusable AI products and data-driven business solutions.
A 10-week Summer 2027 IT internship at Corning in Charlotte, NC: the intern builds and maintains data pipelines with Python, SQL, and PySpark, supports Databricks and cloud data engineering, and creates dashboards to power manufacturing analytics and AI/ML initiatives.
Senior process engineer role at Corning's Reynosa, Mexico site focused on building and deploying machine learning and AI automation for manufacturing and industrial engineering workflows. Day to day involves identifying automation opportunities, developing ML/OCR/RPA solutions, and standardizing processes with tools like Power BI and Tableau.
Onsite engineer in Corning, NY who builds machine learning, deep learning, and generative AI models to support Corning's product and process design and research — handling data prep, exploratory analysis, modeling, and scientific computing using Python, PyTorch/TensorFlow, and Databricks.
Senior Machine Learning Engineer at Corning in Reynosa, Mexico, designing, deploying, and monitoring end-to-end production ML pipelines that improve manufacturing quality and automation for optical communications. Core stack includes Python, ML frameworks (scikit-learn/TensorFlow/PyTorch), MLOps/DevOps, CI/CD, Docker, and Kubernetes.
Senior Machine Learning Engineer at Corning in Monterrey (hybrid, onsite at least 2 days/week), designing, deploying, and maintaining production-grade ML systems for manufacturing and business functions. Core stack: Python with scikit-learn/TensorFlow/PyTorch, plus MLOps practices like CI/CD, model versioning, and containerization.
An entry-level Machine Learning Engineer at Corning's Reynosa site supporting manufacturing operations: developing, deploying, and monitoring ML models and pipelines to improve production performance and reduce defects. Core stack is Python with ML libraries like scikit-learn, TensorFlow, PyTorch, and pandas.
Entry-level (0–2 yrs) Machine Learning Engineer at Corning in Monterrey, Mexico, building, deploying, and maintaining end-to-end ML pipelines for manufacturing use cases. Core stack: Python with scikit-learn/TensorFlow/PyTorch, plus MLOps tooling (Databricks, MLflow, Docker, Kubernetes, CI/CD); hybrid with at least 2 onsite days per week.
Corning is hiring a Summer 2027 AI/ML intern in Wilmington, NC to work on optical fiber and cable manufacturing projects. The 10-week onsite role involves analyzing manufacturing, sensor, and machine-vision data and building AI/ML, statistical, and visualization solutions using tools like Python, SQL, and Power BI.
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