Job Title: AI / Machine Learning Engineer

Company Name: Skyline Career

Job Url: https://wellfound.com/jobs/3967460-ai-machine-learning-engineer

Job Description: 
Skyline Career
Actively Hiring
A platform for Startup
Save
Apply Now
AI / Machine Learning Engineer
$65k – $100k • No equity
|
Remote (
United States
)
 • 
Sarasota
|2 years of exp
|Full Time
Posted: yesterday• Recruiter recently active
Job Location
Sarasota
Remote Work Policy
Onsite or remote

Hires remotely in
United States
Visa Sponsorship
Not Available

Preferred Timezones
Eastern Time
Collaboration Hours
9:00 AM - 5:00 PM Eastern Time
Relocation
Allowed
Skills
Python
Data Analysis
SQL
Natural Language Processing
Algorithms & Data Structures
Deep Learning
Machine Learning Algorithms, Deep Learning, Artificial Neural Networks
Mechine Learning
About the job
Job Summary
We are seeking a highly skilled AI / Machine Learning Engineer to design, develop, and deploy scalable machine learning models and AI-driven applications. The ideal candidate will have strong experience in machine learning algorithms, data analysis, and deploying AI solutions in production environments.

Key Responsibilities
Design, develop, and implement machine learning models and AI solutions.
Work with large datasets to build predictive models and intelligent systems.
Develop deep learning models using frameworks such as TensorFlow or PyTorch.
Collaborate with data scientists, engineers, and product teams to deploy AI solutions.
Optimize algorithms for performance and scalability.
Conduct research and stay updated with the latest developments in artificial intelligence.
Deploy models using cloud platforms such as AWS, Azure, or Google Cloud.

Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
3+ years of experience in machine learning or AI development.
Strong programming skills in Python.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Experience working with data preprocessing, feature engineering, and model evaluation.
Knowledge of natural language processing (NLP) or computer vision is a plus.

Preferred Skills
Experience with deep learning architectures.
Knowledge of LLMs, generative AI, or reinforcement learning.
Experience deploying models with Docker or Kubernetes.
Familiarity with REST APIs and microservices.
Experience with data pipelines and big data tools.