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Meet the Team The Splunk Agent Resilience team is defining the future of AI resilience. Together our team provides scalable, cost-effective evaluation and guardrails that ensure AI agents behave as intended, improving…
The application window is expected to close on: 09/30/2026 Meet the Team The Splunk Agent Resilience team is defining the future of AI resilience. Together our team provides scalable, cost-effective evaluation and…
Designs and deploys scalable AI/ML solutions for manufacturing operations, collaborating with cross-functional teams to integrate models, pipelines, and governance in cloud and on-prem environments.
Job Description: AI Engineer – LLM & Enterprise AI Solutions (6–8 Years) Location Bengaluru / Hybrid Experience 6–8 years (with 3+ years in AI/ML and at least 1–2 years in GenAI/LLM-based solutions) Role Overview…
Senior Data Scientist designs and deploys AI/ML models to optimize marketing performance for a meal-kit company, using Python, cloud platforms, and adtech techniques.
Develops, deploys, and maintains platform features that let other teams build GenAI applications (LLMs, RAG pipelines, autonomous agents) on an AWS data platform. Daily work centers on Python, AWS services (Bedrock, Lambda, API Gateway, IAM), Airflow/MWAA orchestration, LangChain/LangGraph, Terraform, CI/CD, and Docker, fully remote.
A six-week contract in Christchurch for a senior data engineer to design, build and support scalable data pipelines and products on a modern Databricks stack (Delta Lake, Unity Catalog, Workflows) using Python/PySpark and SQL, including troubleshooting, CI/CD contributions and knowledge handover support.
Machine learning engineer on DPG Media's AdData team, building data-driven ad analytics solutions for advertising in Belgium and the Netherlands. The role combines multi-source data into campaign performance models and owns ETL/MLOps, model monitoring and dataflow improvement using AWS, Spark, Databricks, PySpark, Python and Scala.
JumpCloud is hiring a Staff Data Scientist to architect machine learning solutions, develop LLMs, and build an AI stack that automates data analytics workflows for its unified IT management platform. Day-to-day work spans Python, SQL, MLOps, RAG, AI agents, and real-time model deployment in a remote role based in India.
Leads Inter's Decision Modelling team (Brazil's first digital bank) building and maintaining credit and collections models — approval/recovery scores, limit optimization, income estimators. Day to day: technical leadership, model governance and production monitoring, MLOps, and stakeholder alignment using Python, SQL, scikit-learn, MLflow/Airflow and cloud platforms.
A hands-on senior data scientist who designs, builds, and maintains data pipelines, data models, and production-grade analytics/ML solutions in Palantir Foundry for aerospace engineering and manufacturing operations. Core stack is Python, SQL, and ML/MLOps, with strong emphasis on traceability, security, and configuration control.
Build and scale the machine-learning infrastructure that powers Quince’s AI-driven retail platform, designing training pipelines, feature stores, and real-time inference systems on AWS and Kubernetes.
Build and deploy AI inference systems with customers, writing production code and debugging across the full stack from requests to kernel dispatch.
Senior Data Engineer building and scaling the Databricks/AWS data platform of a fast-growing Barcelona fintech that offers working-capital and invoice-advance solutions. Day to day: design reliable data pipelines with Python/PySpark and dbt, enable AI/ML use cases, optimize cloud storage and performance, and set engineering standards while mentoring the data team.
Senior DevOps Engineer specializing in AWS, joining ISPROX's Professional Services team to migrate, automate, and operate enterprise cloud platforms for a client. Day-to-day covers AWS account migrations (ECS/EC2, Aurora, Redshift), CI/CD pipelines, Terraform/CDK/Ansible automation, containers, observability, and IAM/security best practices.
Isprox is hiring a Senior DevOps Engineer to join a Professional Services team supporting a tech-sector client on enterprise AWS cloud platforms. Day to day involves migrating workloads between AWS accounts (ECS on EC2, Aurora MySQL, Redshift), building CI/CD pipelines, automating with Terraform/IaC tools, and running observability with CloudWatch.
Senior DevOps engineer joining a Professional Services team to migrate, automate and operate enterprise AWS cloud platforms for a tech client: ECS-on-EC2 workload migrations, Aurora MySQL/Redshift data moves, CI/CD pipelines, Terraform/CloudFormation/CDK/Ansible, containers (EKS/Fargate) and CloudWatch observability, using Python and Bash. Hybrid role in Madrid, salary up to €70k.
Data engineer at consultancy PALO IT, embedded with a leading insurance client, building cloud data pipelines and lakehouse platforms (Azure, Spark, dbt, Kafka, Airflow, Snowflake) with data quality and governance. The role is explicitly AI-native: daily use of GenAI coding tools like Copilot and Cursor.
Senior Data Scientist on Asaas's Data & AI team, building and productionizing machine learning models for transactional financial fraud prevention, with a strong MLOps focus: real-time and batch model serving, monitoring, and scaling to high transaction volumes using Python, SQL, Spark, MLflow, and Databricks on AWS.
Senior hybrid role building Solaris Energy Infrastructure's AI capability from scratch: designing and owning LLM/RAG/agentic architecture (including MCP servers, MLOps, and integrations with ERP and field systems) while driving hands-on AI adoption across operations, dispatch, and finance teams. Core stack: Python, LLM frameworks like LangChain/LlamaIndex/CrewAI, and Azure/AWS/GCP.
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