Posted in

AI/ML Engineer

AI/ML Engineer

CompanyArticul8
LocationDublin, CA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelSenior

Requirements

  • Bachelor’s/Master’s/PhD in Computer Science, AI, Machine Learning, or related field.
  • 5+ years of experience in AI/ML development and deployment.
  • Design, develop, and deploy AI and machine learning models for production use.
  • Train, fine-tune, and optimize deep learning and LLM-based solutions.
  • Strong programming skills in Python or PyTorch
  • Experience with LLMs, NLP, computer vision, or reinforcement learning.
  • Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with AWS, GCP, or Azure for AI model deployment.
  • Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Familiarity with MLOps tools like MLflow, Kubeflow, or TensorBoard.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork skills.

Responsibilities

  • Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into applications.
  • Evaluate and implement state-of-the-art AI/ML algorithms to improve model accuracy and efficiency.
  • Optimize models for cloud and on-prem environments, ensuring low latency and high availability.
  • Develop APIs and microservices to serve AI models in production.
  • Stay up to date with the latest AI trends, research, and best practices.
  • Ensure ethical AI practices, data privacy, and security compliance.

Preferred Qualifications

  • Experience in multi-cloud AI deployments.
  • Familiarity with generative AI and autonomous AI agents.
  • Knowledge of distributed computing frameworks (Spark, Ray, Dask).
  • Experience in edge AI or AI model compression (quantization, pruning).
  • Prior experience working on AI SaaS platforms.