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Intetics

558 | Senior ML/Backend Engineer

Intetics
Ukraine · Full-time · Mid-Senior

Intetics Inc, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and "all-things-digital" solutions, is seeking a talented Senior ML/Backend Engineer to join our team.

About the Project: Innovative AI marketplace. From scratch, you'll be the first developer.

About The Role

We are seeking a highly skilled Senior ML/Backend Engineer to join our dynamic team at Intetics Inc. The ideal candidate has a robust background in Machine Learning, DevOps practices, and hands-on experience with Large Language Model (LLM)-based solutions. In this role, you will play a critical role in designing, developing, and deploying complex systems that leverage state-of-the-art ML techniques and language models. You'll work cross-functionally to integrate ML-driven functionalities seamlessly within our product stack, ensuring reliability, scalability, and operational efficiency.

Requirements

  • Experience: 4+ years of engineering experience, with a focus on ML applications.
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch) and knowledge of model training, evaluation, and deployment.
  • Proficient in creating CI/CD pipelines, infrastructure as code (e.g., Terraform, Ansible), and cloud platform management (AWS, GCP, Azure).
  • Demonstrated experience working with LLMs (e.g., GPT, Llama) for application in production environments.
  • Backend frameworks (Django or Flask or FastAPI)
  • Experience with Code Assistants (Github Copilot, Codex, etc.).
  • Strong expertise in cloud services, containerization (Docker, Kubernetes), and microservices architecture


Will be a Plus:

  • Data Science Background: Experience with data analysis, statistical modeling, and familiarity with data science tools (e.g., Pandas, NumPy, Scikit-learn)
  • Experience in NLP and conversational AI
  • Proficiency with frontend technologies (React, Angular, Vue)
  • Familiarity with RESTful APIs and GraphQL
  • Understanding of data engineering principles and tools for handling large datasets
  • Exposure to A/B testing, experiment design, and metrics-driven development

Key Skills

Ranked by relevance

c ha ai cloud git lan pan infrastructure as code containerization machine learning microservices data analysis restful apis kubernetes tensorflow terraform angular graphql ansible fastapi pytorch django docker devops pandas scala react flask numpy aws vue lua gcp ssl das ui
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Posted
Dec 11, 2024
Type
Full-time
Level
Mid-Senior
Location
Ukraine
Company
Intetics

Industries

Non-profit Organizations Primary Secondary Education

Categories

Engineering Information Technology

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