AI/ML Engineer

Skyline Career LLC
United States
3 months ago

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

Apply for this position

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