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AI Engineer (AWS Experience)

Jobs via Dice

King of Prussia · Hybrid Contract Mid Level 4w ago

About the role

Job Summary

We are seeking a highly skilled AI Engineer with strong AWS experience to design, develop, and deploy scalable artificial intelligence and machine learning solutions. The ideal candidate will have hands-on experience with cloud-based AI services, data pipelines, and model deployment within AWS environments.

Key Responsibilities

  • Design, build, and deploy AI/ML models to solve complex business problems
  • Develop and maintain scalable data pipelines and workflows on AWS
  • Utilize AWS services such as SageMaker, Lambda, S3, EC2, and Glue for AI solution development
  • Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions
  • Optimize and fine-tune machine learning models for performance, scalability, and cost-efficiency
  • Implement MLOps practices including CI/CD pipelines, monitoring, and model versioning
  • Work with large datasets, ensuring data quality, governance, and security
  • Integrate AI models into production systems and APIs
  • Stay updated with the latest advancements in AI/ML and cloud technologies

Required Qualifications

  • Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in AI/ML development and deployment
  • Strong hands-on experience with AWS cloud services (SageMaker, S3, EC2, Lambda, Glue, IAM)
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn
  • Experience with data processing tools like Pandas, NumPy, and Spark
  • Solid understanding of machine learning algorithms, deep learning, and NLP concepts
  • Experience with REST APIs and microservices architecture
  • Knowledge of containerization tools like Docker and orchestration using Kubernetes
  • Familiarity with CI/CD tools and MLOps frameworks

Preferred Qualifications

  • AWS Certified Machine Learning Specialty or related certifications
  • Experience with big data technologies (Hadoop, Spark)
  • Knowledge of data visualization tools such as Tableau or Power BI
  • Experience with NLP, computer vision, or generative AI models
  • Exposure to real-time data streaming (Kafka, Kinesis)

Skills

AWS GlueAWS IAMAWS LambdaAWS SageMakerAWS S3DockerKubernetesMLOpsNumPyPandasPythonPyTorchScikit-learnSparkTensorFlow

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