AI/ML Engineer
Skyline Career LLC
United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$80,000.0 - $95,000.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Data Analysis
Computer Vision
Microsoft Azure
Big Data
Cloud Computing
Data Structures
Python (Programming Language)
Machine Learning
Natural Language Processing
+13 more
Tensorflow
Software Deployment
SQL Databases
Feature Engineering
Pytorch
Large Language Models
Deep Learning
Generative AI
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
Docker
Job description
We are looking for a skilled and motivated AI/ML Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-based solutions to solve real-world business problems., * Develop, train, and optimize machine learning models.
- Build AI solutions using Python and ML frameworks.
- Work with large datasets for data preprocessing and analysis.
- Deploy ML models into production environments.
- Collaborate with developers, data analysts, and business teams.
- Monitor model performance and improve accuracy.
- Implement NLP, Deep Learning, or Computer Vision solutions when required.
- Maintain documentation for AI/ML processes and workflows.
Requirements
Do you have experience in Software deployment?, Do you have a Master’s degree?, * Strong knowledge of Python, SQL, and Data Structures.
- Experience with Machine Learning and Deep Learning algorithms.
- Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of Data Analysis and Feature Engineering.
- Familiarity with Cloud platforms like AWS, Azure, or GCP.
- Understanding of APIs and model deployment.
- Good problem-solving and communication skills., * Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- Experience with NLP, LLMs, Generative AI, or Computer Vision is a plus.
- Knowledge of MLOps and Docker/Kubernetes is preferred.
Benefits & conditions
$80,000 - $95,000 a year - Full-time, Pulled from the full job description
- Parental leave
- 401(k)
- Health insurance
- Paid time off, * 401(k)
- Health insurance
- Paid time off
- Parental leave
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