Allentown Engineering - Software Job Listings

CRM support - Go High Level (Princeton)63671598182529120

Craigslist

CRM support - Go High Level (Princeton)

We are looking for an experienced Go High Level user to help us create funnels and automate messages. The candidate must be familiar with Go High Level. We would prefer that you be bilingual in both English and Spanish. We are also looking for social media experts on getting real leads, not just views.

306 Wall St, Princeton, NJ 08540, USA

Negotiable Salary

🧑‍💻 Work and Train in AI Development63580126970883121

Craigslist

🧑‍💻 Work and Train in AI Development

Passionate about AI and looking to make a long-term impact? Join our team and collaborate on pioneering solutions that shape the future of technology. We are a well-established tech company seeking driven individuals who love to learn. Looking to build your skills in AI and software development through hands-on work? This structured and remote program is flexible, designed for full- or part-time learners. Complete over 600 hours of guided exercises with real-world tools, then begin your path to becoming an AI Developer. Training includes: 🖥️ Computer & Software Fundamentals • Understand the basics of computers and networking • Learn about algorithms, system architecture, and security • Write your first Python code 💻 Web & Application Development • Build interactive sites with HTML, CSS, and JavaScript • Use libraries like React and Bootstrap • Work with Git-based version control and collaborative workflows 🧠 AI and Machine Learning Tools • Study neural networks, machine learning, and data science • Apply OpenAI APIs, TensorFlow, and Pandas • Analyze data and build features like sentiment analysis • Train models, visualize results, and automate tasks • Learn Docker and manage real-world projects 🗄️ Database and Backend Skills • Use SQL to build and query databases • Understand CRUD operations and backend logic 🧪 Capstone Project • Create a complete application using everything you’ve learned • Collaborate using Git, debug efficiently, and document your work • Simulate professional workflows with Agile methods 🧰 Career Preparation • Prepare for interviews with whiteboarding and mock coding tasks • Create a professional technical résumé • Transition into a tech career with confidence No prior experience required. Fully remote. Apply here: https://aitraining.compare

2313 Solly Ave, Philadelphia, PA 19152, USA

$60,000/year

Workable

MLOps Engineer(NJ)

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for: ML Engineer with 5-7 years of IT experience. Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc. Develop Airflow DAGs to run training and scoring pipelines Develop a Testing framework with Pytest Implement monitoring solution with homebrew solution using Lambda and Dash Develop Data Quality solutions potentially leveraging Great Expectations. Requirements Bachelor's degree or higher in computer science or related, with 5+ years of work experience Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and help run machine learning tests and experiments Experience in AWS - SageMaker (ProcessingJobs, TrainingModels, EndPoints) Experience in Lambda CloudFormation or Terraform Apache Airflow, Astronomer Docker Knowledge of traditional ML Models. Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras. Experience in Pandas, sklearn, Numpy, Scipy Additional Skills Required Knowledge of Database/Data Engineering. Experience with Oracle, Spark, Hadoop, Athena, API, FastAPI, Flask, ReST Knowledge of MLflow, Airflow, and Kubernetes Experience with Cloud environments and knowledge of AWS Services, Service Catalog, SNS, SES Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

New Jersey, USA

Negotiable Salary