Remote, Full time role...(Citizens or GC holders only)
The AI Engineer is responsible for designing, building, and deploying AI-powered solutions that enhance automation, efficiency, and decision-making across the organization. This role works closely with data scientists, engineers, and business teams to transform data into intelligent applications and actionable insights.
Responsibilities
Develops, trains, and optimizes machine learning and deep learning models
Builds and integrates AI-driven applications using NLP, computer vision, and predictive analytics
Prepares and manages structured and unstructured data for modeling and analysis
Collaborates with business and technical teams to define and deliver AI solutions
Deploys and maintains AI models in production using cloud platforms and MLOps practices
Monitors model performance, detects drift, and retrains models as needed
Applies ethical AI principles to ensure fairness, transparency, and compliance
Keeps current with emerging AI technologies and contributes to innovation initiatives
Qualifications
Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
Minimum of 4 years of experience developing and deploying AI/ML models
Strong programming skills in Python, R, or Julia
Experience with TensorFlow, PyTorch, and Scikit-Learn
Familiarity with cloud AI platforms such as AWS SageMaker, Azure AI, or Google Vertex AI
Knowledge of MLOps, model deployment, and API integration
Understanding of deep learning, NLP, and computer vision techniques
Excellent problem-solving and communication skills
Tim Campbell
Liberty Personnel Services Inc.
610-941-6300 ext 121 direct: 484-567-2089
tc@libertyjobs.com
#IT
#midsenior
...challenges. Powered by Americas youth, we host a media outlet, produce educational materials and... ...country. Job Description The Social Media Intern contributes to ONCs mission... ...if desired. This position is remote, with work primarily conducted over Zoom...
...does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: ~7+ years of experience in application development including Python, SQL, Scala...