AI Engineer Job at ENTERPRISE APPLICATIONS CONSULTING, Weehawken, NJ

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  • ENTERPRISE APPLICATIONS CONSULTING
  • Weehawken, NJ

Job Description

Job Description

Job Description

Job Title: AI Engineer
Job Description:
Responsibilities:
1. AI Model Development:
o Design and develop machine learning and deep learning systems.
o Run machine learning tests and experiments to enhance models.
o Implement appropriate ML algorithms and tools.
2. Data Management:
o Analyze and organize raw data.
o Process data to be used in AI models effectively.
o Enhance data collection procedures to include information relevant for
building analytic systems.
3. Collaboration and Integration:
o Work closely with data scientists, data engineers, and software developers
to integrate AI models into broader systems and applications.
o Collaborate with stakeholders to understand company needs and devise
possible solutions.
4. Testing and Validation:
o Validate AI models to ensure accuracy and effectiveness.
o Troubleshoot and improve existing AI systems.
5. Documentation and Reporting:
o Document AI development processes, algorithms, and technologies used.
o Prepare and present reports on AI projects to internal teams and
stakeholders.
Skills and Qualifications:
Education:Bachelors or masters degree in Computer Science, Artificial
Intelligence, Machine Learning, or a related field.
Technical Skills:
o Strong programming skills in Python, R, Java, or similar languages.

o Experience with machine learning frameworks (e.g., TensorFlow, Keras,
PyTorch) and libraries (e.g., scikit-learn).
o Knowledge of AI and machine learning algorithms.
o Familiarity with cloud services (AWS, Google Cloud, Azure) that offer AI
services.

Analytical Skills:Ability to design and implement complex AI systems.
Communication Skills:Excellent communication skills to effectively collaborate
with various teams.
Problem-solving:Strong problem-solving skills with a focus on product
development.
Experience:
Proven experience as an AI Engineer or similar role.
Hands-on experience building and implementing AI models.
Work Environment:
Office setting, with potential for remote work depending on company policies.
Collaborative environment involving various technology and business teams.
May require managing multiple projects simultaneously under tight deadlines.

Job Tags

Remote job,

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