AI/ML Engineer

Skyline Career LLC
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 120K

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Computer Programming
Data Structures
Hadoop
Python
Machine Learning
TensorFlow
SQL Databases
Unstructured Data
PyTorch
Spark
Deep Learning
Generative AI
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
Data Pipelines
Docker

Job description

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will work with large datasets, build scalable ML pipelines, and collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems., * Design, build, and deploy machine learning and AI models

  • Develop data pipelines and preprocess structured/unstructured data
  • Train, evaluate, and optimize ML algorithms for performance and accuracy
  • Work with large datasets using Python, SQL, and cloud technologies
  • Collaborate with data scientists, software engineers, and business teams
  • Implement deep learning, NLP, or predictive analytics solutions as needed
  • Monitor and maintain ML models in production environments
  • Research and apply the latest AI/ML technologies and best practices

Requirements

Do you have experience in Statistics?, Do you have a Master's degree?, * Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field

  • Strong programming skills in Python
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Knowledge of data structures, algorithms, and statistics
  • Experience with SQL, APIs, and cloud platforms like AWS, Azure, or GCP
  • Strong analytical and problem-solving skills

Preferred Skills

  • Experience with NLP, Generative AI, or Deep Learning
  • Familiarity with Docker, Kubernetes, and MLOps tools
  • Knowledge of big data technologies such as Spark or Hadoop
  • Experience deploying ML models in production environments

Benefits & conditions

$90,000 - $120,000 a year - Full-time, Pulled from the full job description

  • Parental leave
  • 401(k)
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance, * Competitive salary package
  • Health, dental, and vision insurance
  • Paid time off and holidays
  • Career growth and learning opportunities
  • Flexible work environment

Equal Opportunity Employer

We are an equal opportunity employer committed to diversity and inclusion in the workplace.

Pay: $90,000.00 - $120,000.00 per year, * 401(k)

  • 401(k) matching
  • Health insurance
  • Paid time off
  • Parental leave

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