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Intetics

Senior ML Engineer

Intetics
Poland · 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 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 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: 5+ 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 (Node.js, Django or Flask).
  • 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

ai cloud devops tensorflow pytorch terraform ansible aws gcp django flask containerization docker kubernetes microservices pandas numpy react angular vue graphql
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Posted
Nov 07, 2024
Type
Full-time
Level
Mid-Senior
Location
Poland
Company
Intetics

Industries

Non-profit Organizations Primary Secondary Education

Categories

Engineering Information Technology

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