Tech jobs
Job listings
Software Developer (Systems Software)
Develop and maintain secure, high-performance data pipelines and cloud-native systems for a government defense program using Java, Python, and AWS/other cloud services.
Director of Data Science and Bioinformatics
Lead a team of bioinformaticians and data scientists to build and deploy genomic algorithms on AWS, ensuring clinical-grade quality and reproducibility for Natera’s women’s and organ health products.
Director of Data Science and Bioinformatics
Lead a team to build and deploy genomic algorithms on AWS, ensuring clinical-grade quality and reproducibility for Natera’s women’s and organ health products.
RQ11442 - Software Developer - API - Senior
Senior API developer specializing in building and maintaining RESTful APIs, AI-driven systems, and Progressive Web Apps using React, TypeScript, Node.js, and Next.js. Focuses on integrating AI agents, MLOps, and cloud platforms like Azure.
MLOps Architect
Designs and maintains PepsiCo’s Kubeflow-based MLOps platform on Azure, ensuring scalable, secure, and cost-effective ML workflows with minimal disruption.
Full Stack ETL Developer
Builds secure, large-scale ETL/ELT pipelines and full-stack apps for defense clients, using Python/Java/Scala, React/Next.js, graph/NoSQL databases, and AWS in a cleared environment.
Group IT Data Platform Engineer
Designs, builds, and optimizes a global data platform and analytics infrastructure using Databricks, Azure Data Factory, and relational databases, enabling AI-driven solutions while ensuring governance, security, and performance.
Lead Data Engineer (MLOps)
Lead a team to build and deploy scalable MLOps pipelines and cloud-based data products using Python, Azure, and Kubernetes, ensuring robust CI/CD and governance for Allianz’s fintech operations.
Data Platform Architect
Designs and guides secure, scalable data pipelines and AI/ML workflows in Databricks and Palantir Foundry for mission-critical environments.
Senior Data Engineer
Senior Data Engineer builds serverless AWS pipelines and data models to power AI/ML and analytics for ParetoHealth’s healthcare cost-reduction platform.
Data Scientist
The Data Scientist leverages machine learning and statistical modeling to analyze structured and unstructured data, supporting business decision-making. The role involves developing predictive models within Snowflake pipelines and communicating insights to stakeholders across the organization.
ML Engineer – Flexible Data & AI Projects
An ML Engineer working on flexible data and AI projects focused on document automation (LLM-based information extraction, data modeling) and speech-to-text transcription (audio analysis, conversation summarization).
Software Engineer II - Backend | NextGen Engineering
Build and maintain scalable backend services in Java/Spring Boot that power Careem’s mobility platform, with a focus on clean code and distributed systems.
Senior ML Backend Engineer
The Senior ML Backend Engineer will build and maintain scalable machine learning infrastructure and pipelines to support property intelligence solutions. The role involves working with cloud-native technologies, Kubernetes, and MLOps practices to transition models from research into production.
Consultor Data Science - híbrido
Designs, builds, and deploys AI/ML models for operational intelligence (Smart NOC AI), from data exploration to production, collaborating with data engineering, architecture, MLOps, and ops teams to enable predictive decision-making, automation, and anomaly detection using IBM Watsonx tools.
Applied Data Scientist, Search Ranking
Leads applied ML and NLP efforts to optimize Target’s search and browse systems, deploying LLMs and ranking models to enhance ecommerce relevance at scale.
AI Engineer Consultant (m/w/d)
AI Engineer Consultant designs and builds end-to-end AI/GenAI solutions, advises clients on AI use cases, and implements prototypes/MVPs using Python, Azure OpenAI, Databricks, and MLOps pipelines.
Senior Engineer, MLOps Platform
Designs and builds an enterprise MLOps platform for AI/ML workflows, focusing on scalable services, APIs, and developer tooling to enable ML teams to deploy and manage models at scale.