Senior Applied AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ClanX

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

👥 HR Tech

Recruitment • AI • HR Tech

ClanX is a specialized recruitment agency focusing on technology roles such as engineers, product managers, and designers. Leveraging a network of tech professionals, the company provides a rapid and efficient hiring process with no upfront fees, ensuring a high-quality match for companies looking to fill technical positions. With a high match rate and quick turnaround times, ClanX uses AI-powered tools and deep industry expertise to vet candidates thoroughly. They offer a success-based payment model and a free replacement period, ensuring satisfaction with their hires.

📋 Description

• 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