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The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
Senior Full-Stack Engineer building multi-tenant SaaS logistics applications in Java, Angular, and Oracle PL/SQL, with hybrid work in Atlanta.
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
Develops backend systems for AI-driven 3D design review, focusing on geometry parsing, model analysis, and AI-assisted workflows to improve engineering quality and reduce rework cycles.
AI DevOps Engineer designing, automating, and securing AWS cloud-native infrastructure while integrating AI-powered tools into CI/CD pipelines, observability, security, and infrastructure automation.
The Associate Data Engineer manages and monitors production data pipelines on AWS, ensuring high availability and performance. The role involves working extensively with Databricks, Apache Spark, and various data management tools to support advanced analytics and cloud operations.
¡En Ayesa Digital crecemos Contigo! Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención. Cada…
The Senior Data Engineer will develop and maintain AWS-based data platforms and pipelines within a DevOps team for a logistics client. The role involves optimizing Spark-based ETL processes, automating infrastructure, and collaborating with stakeholders to build robust data products.
Cloud/Infra Architect role at TCS in Calgary designing and implementing Azure and AWS cloud solutions, leading large-scale migrations, IaC deployments, and integrating GenAI capabilities into applications.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.…
The AI Software Engineer will lead AI experiments and develop Agentic AI solutions for the banking sector, taking projects from ideation to production. The role involves building LLM-based architectures, optimizing for scalability, and collaborating with cross-functional teams using Python and various cloud AI services.
Senior Data Scientist Company: Norstella Location: Remote, United Kingdom Date Posted: Aug 5, 2026 Employment Type: Full Time Job ID: R-2090 **Description** **About Norstella** Norstella is a group of prominent…
This role involves architecting and managing cloud infrastructure for AI solutions, ranging from proof-of-concept environments to production-grade systems. The engineer will work across AWS, Azure, and GCP to deploy secure, scalable infrastructure and integrate generative AI models.
Roles & Responsibilities Our client, a leading global luxury brand, is seeking a Data Science & AI Engineer to design and deploy advanced analytics, machine learning, and Generative AI solutions that drive…
Build and maintain analytics-ready datasets, enrich data coverage, and support dashboards using SQL and BI tools like Spotfire/Tableau for a healthcare organization.
Designs and optimizes scalable data pipelines and AI/ML data foundations, automating ETL/ELT workflows with tools like Airflow, Databricks, and Snowflake to enable analytics and AI models across the enterprise.
This role involves building and maintaining scalable machine learning infrastructure on AWS to support drug discovery initiatives. The engineer will automate deployments, manage CI/CD pipelines, and collaborate with data scientists to optimize computational workflows.
Designs and deploys AI-driven solutions (LLMs/agents) at scale, owning CI/CD pipelines, IaC, and production observability for enterprise clients while mentoring engineers and ensuring security/governance compliance.
Build and deploy ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
Builds and maintains cloud-native data pipelines and analytics platforms for BNZ, supporting data scientists and business teams with infrastructure like BigQuery, SageMaker, and Power BI Cloud.
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