Senior Applied AI Engineer
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Job Description
Applied AI Engineer building AI solutions for regulated workflows at Conqr AI. Responsible for model training, deployment, and continuous system improvement.
Responsibilities:
- 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:
- 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:
- Professional development
- Flexible work arrangements
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