Software Engineer focusing on high impact tech initiatives including NodeJS and Java at Snowflake. Collaborating across functional teams to drive product vision and high - performance builds.
About the role
- AI Software Engineer designing, developing, and deploying AI technology solutions. Collaborating with teams to build scalable AI systems and optimizing models for production use.
Responsibilities
- Design, develop, and maintain AI and machine learning models and applications.
- Translate business problems into effective AI solutions.
- Collaborate with data scientists, engineers, and stakeholders to deliver production-ready AI systems.
- Implement, test, and optimize machine learning algorithms and pipelines.
- Deploy, monitor, and maintain AI models in production environments (using MLOps best practices).
- Analyze large datasets to extract insights and improve model performance.
- Document AI development processes and communicate complex concepts to non-technical stakeholders.
- Stay up to date with the latest AI research, frameworks, and industry trends.
- Ensure ethical, legal, and societal considerations are addressed in AI solutions.
- Troubleshoot and resolve issues related to AI systems and data pipelines.
Requirements
- Strong programming skills in Python (and optionally C#, Java, R, or C++).
- Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in designing, training, and deploying AI/ML models.
- Experience with cloud-based AI platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI).
- Familiarity with MLOps tools and practices (e.g., MLflow, CI/CD for ML).
- Understanding of data engineering, data preprocessing, and feature engineering.
- Experience with REST APIs and integrating AI models into software products.
- Strong knowledge of statistics, algorithms, and data structures.
- Excellent command of the English language.
- Experience with NLP, computer vision, or generative AI (LLMs, RAG, etc.).
- Familiarity with Azure DevOps, Azure API Manager, Cosmos DB, and related Microsoft technologies.
- Exposure to ethical AI, bias mitigation, and responsible AI practices.
- Experience with version control, containerization, and cloud deployment.
- A strong academic background including a degree in a relevant field.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Principal Software Engineer at Red Hat coordinating automotive platform solutions with customers and partners. Engage on - site, lead engagements, and design technical solutions with cross - functional collaboration.
Software Development Engineer on Cloud Runtime Protection team at CrowdStrike. Building runtime security solutions for cloud - native and AI workloads with high - performance features.
Full Stack Developer working on educational solutions projects at PUCPR. Collaborating in agile teams to enhance educational experiences.
Cyber Software Developer for Comcast's DataBee; crafting SaaS security applications and leading project integrations in a collaborative environment.
Technical Lead for AI developing foundational architecture for Hume's data analytics platform. Collaborating with cross - functional teams to ensure seamless AI integration and excellence.
Lead Full Stack Engineer at McCormick developing scalable software solutions. Collaborate on both front and back end systems with a focus on technology architecture.
Staff Software Engineer leading Identity Accounts team, delivering essential platform services at Coinbase. Collaborating with product groups and driving roadmap execution for critical engineering functions.
Senior Full Stack Developer focusing on integration methods for Solink's video security data platform. Working across the full stack with TypeScript, Node.js, and cloud technologies.
Software Architect developing product architectures at Semperis in Dublin. Collaborating with architecture and development teams to enhance product features and support rapid development.