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AI/ML Engineer

$80k

USM

  • Start Date: Interview Types
  • Skills AI/ML Engineer Visa Types Green Card, US Citiz..

Job Title: AI/ML Engineer

Location: Remote

Duration: Full-time

Salary: $80K + Benefits

Job Overview:

About Us: We are a forward-thinking technology company dedicated to solving complex problems through innovative AI and Machine Learning solutions. Our team thrives on collaboration, creativity, and leveraging cutting-edge cloud technologies to deliver impactful products.


Position Overview: We are seeking a talented AI/ML Engineer with strong cloud exposure to join our dynamic team. The ideal candidate will have hands-on experience in designing, developing, and deploying machine learning models at scale, utilizing cloud platforms to ensure scalability, reliability, and performance.

Key Responsibilities:

  • Design, develop, and optimize machine learning models and algorithms.
  • Deploy and maintain AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Implement data pipelines and workflows for training, validation, and deployment of models.
  • Monitor, troubleshoot, and improve model performance and infrastructure.
  • Stay updated with the latest trends and advancements in AI, ML, and cloud technologies.
Qualifications:
  • Bachelor's or master's degree in computer science, Data Science, AI, or related field.
  • Proven experience in developing and deploying machine learning models.
  • Strong programming skills in Python, R, or similar languages.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud services related to AI/ML (e.g., AWS SageMaker, Azure ML, Google AI Platform).
  • Knowledge of data processing frameworks like Spark, Hadoop, or similar.
  • Familiarity with DevOps practices for CI/CD pipelines related to ML workflows.
  • Excellent problem-solving skills and ability to work independently in a remote setting.
Preferred Skills:
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Knowledge of big data technologies and databases.
  • Strong communication skills and a collaborative mindset.
Vacancy posted 4 days ago
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