Talantix.io
Fastino AI•03.03.26
AI SCORE 8.5

AI Engineer - Remote Position at Fastino AI

$120K–$150K/year
RemoteAI/Big Data
Python•Machine Learning•TensorFlow•MLOps•AWS•Docker•Kubernetes•API Design

About the Role

We're looking for an AI Engineer - Remote to join our innovative team at Fastino AI. As an AI Engineer, you will work on cutting-edge projects that leverage machine learning and artificial intelligence to drive business solutions. This is a fantastic opportunity to work remotely and collaborate with talented professionals from top tech companies.

What You'll Do

  • Design and implement AI models and algorithms to solve complex problems.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Participate in the development of open-source AI models.
  • Utilize cloud platforms like AWS for deploying AI solutions.
  • Engage in continuous learning and stay updated with the latest advancements in AI and machine learning.

Requirements

  • 3+ years of experience as an AI Engineer or in a related role.
  • Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow.
  • Familiarity with MLOps practices and CI/CD pipelines.
  • Experience with data architecture, ETL development, and microservices.
  • Knowledge of Kubernetes and Docker for containerization.

Nice to Have

  • Experience with generative AI technologies.
  • Understanding of API design and development.
  • Prior work in open-source projects.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Flexible working hours to promote work-life balance.
  • Opportunity to work on innovative AI projects that make a difference.
  • Collaborative and inclusive work environment.
  • Access to professional development resources and training.
Why This Job8.5 of 10

This remote AI Engineer position at Fastino AI offers a competitive salary, flexible hours, and the chance to work on innovative projects with a talented team.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and experienced with TensorFlow for building and deploying machine learning models, demonstrating a solid understanding of algorithm optimization in a cloud environment like AWS.

→

Self-motivated and adaptable, thriving in a fully remote work environment, with a proven ability to manage time effectively and communicate asynchronously within distributed teams.

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Hands-on experience with MLOps practices, utilizing Docker and Kubernetes for containerization and orchestration of AI applications, enabling efficient production workflows and continuous integration.

Learning Resources

→Deep Learning with Python and PyTorchcourse
→MLOps: Machine Learning Operationscourse
→AWS Machine Learning Documentationguide

Career Path

AI Engineer - Remote Position(Now)→Senior AI Engineer(1-2 years)→AI Solutions Architect(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
21.5%
AI Adoption
75%
Investment
+45%
Labour Demand
+35%
Avg Salary
$130K

Skills & Requirements

Required
PythonMachine LearningTensorFlow
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Engineering
Declining
MATLABR

Domain Trends

Increased Automation in AI Development
By 2025, 60% of AI projects will leverage automated machine learning tools, increasing efficiency and reducing time-to-market by 30%.
Expansion of AI in Cloud Services
The cloud AI market is projected to grow by 30% annually, with AWS leading the charge as enterprises shift towards scalable AI solutions.
Rise of AI Ethics and Governance
Over 50% of organizations will implement AI governance frameworks by 2025, focusing on ethical AI deployment and compliance.

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