Role overview
Knowledge of and experience in Programming Languages: Strong proficiency in Python, Java, or C++.
Knowledge of and experience in Frameworks & Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
Knowledge of and experience in AI/ML: Deep understanding of machine learning algorithms, neural networks, and data modeling.
Knowledge of and experience in Data Engineering: Proficiency with SQL, NoSQL, and big data technologies (Spark, Hadoop).
Knowledge of and experience in Tools: Familiarity with cloud platforms (AWS SageMaker, Azure ML) and MLOps tools (MLFlow).
Good to have: Experience in Model Development: Designing, building, and training AI models (NLP, computer vision, predictive analytics).
Good to have: Experience in Data Handling: Gathering, cleaning, labeling, and organizing large datasets to train AI models.
Good to have: System Deployment Experience: Deploying trained models into production environments using APIs, containers, and microservices.
Good to have: Experience in Performance Optimization: Monitoring and improving model accuracy, scalability, and reliability.
Good to have: Experience of collaborating: Working with data scientists, software engineers, and stakeholders to integrate AI solutions into business applications.
Education: A Bachelor’s or Master’s degree in Engineering, typically in Computer Science, Data Science, Artificial Intelligence.
Experience Level: 2+ years of experience in software development, engineering and machine learning projects
Salary Range: $130,000 to $150,000 per year
Location
Weehawken, NJ
What we're looking for
Artificial Intelligence