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Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPostgresPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Own end-to-end delivery of production AI and ML systems from experimentation to deployment
- Train, fine-tune, and optimize machine learning models, including LLMs and open-weight models
- Build and maintain training, data processing, and inference pipelines
- Improve model performance across accuracy, latency, reliability, and cost
- Implement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining
- Develop evaluation frameworks, benchmark datasets, and quality checks for production models
- Design and maintain scalable APIs and services that expose AI capabilities
- Collaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows
- Monitor production systems and continuously improve model and infrastructure performance
- Research and evaluate emerging AI techniques, tools, and frameworks
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 3+ years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or similar role
- Strong experience training, fine-tuning, and deploying machine learning models to production
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn
- Experience operating and maintaining production ML systems
- Hands-on experience with AWS, GCP, or Azure cloud platforms
- Familiarity with cloud ML services such as SageMaker, Vertex AI, or similar platforms
- Strong understanding of API design and distributed system architecture
- Experience implementing MLOps practices, CI/CD pipelines, and model monitoring
- Experience with Docker and Kubernetes
- Knowledge of PostgreSQL and modern data infrastructure
- Experience with LLMs, RAG systems, and vector databases is a strong plus
- Excellent written and verbal communication skills in English.
Benefits
Comp & perks- Professional development
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningModel OptimizationData Processing PipelinesCI/CD PipelinesModel MonitoringPostgreSQLLLMsRAG SystemsVector DatabasesDistributed System Architecture
Soft Skills
Excellent Communication Skills