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inhire.io

AI/ML Engineer

inhire.io
Poland · Full-time · Mid-Senior
Dla naszego klienta Square One Resources poszukujemy osoby na stanowisko AI/ML Engineer.

We need a highly skilled AI/ML Engineer to help us build AI-powered applications from start to finish. We'll be working on AI and GenAI solutions, taking them from concept to production and beyond.

Key Responsibilities

  • Generative AI Application Development: Work with developers and stakeholders in Agile teams to integrate LLMs and classical AI techniques into user-friendly applications that perform well in real time.
  • Algorithm Development: Create, customize, optimize, and fine-tune LLM-based and other AI algorithms for tasks like text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, and data analysis.
  • LLM Fine-Tuning and Customization: Adjust pre-trained LLMs to meet specific business needs using techniques like prompt engineering, transfer learning, and few-shot learning to improve model performance.
  • End-to-End Pipeline Development: Build and maintain complete ML pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring. Use MLOps best practices to make the workflows scalable and efficient.
  • Performance Optimization: Improve model inference speed, reduce latency, and manage resource usage across cloud services and GPU/TPU architectures.
  • Scalable Model Deployment: Work with other developers to deploy models at scale using cloud infrastructure (AWS, Azure) while ensuring high availability and fault tolerance.
  • Monitoring and Maintenance: Continuously monitor and refine deployed models, using feedback loops and incremental fine-tuning to maintain accuracy and reliability. Address drifts and biases as they arise.
  • Software Development: Follow software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, prompt engineering, and setting up APIs. Ensure robust logging, experiment tracking, and model monitoring.

Practical Skills Required

  • Experience: 3+ years in AI/ML engineering with exposure to both classical machine learning methods and language model-based applications.
  • Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks like PyTorch or TensorFlow. Expertise with Transformer architectures, hands-on experience with LangChain or similar LLM frameworks, and experience designing end-to-end RAG systems using state-of-the-art orchestration frameworks.
  • MLOps Knowledge: Strong understanding of MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, and automated deployment.
  • Deployment: Experience deploying LLM and other AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productization.
  • Practical Overview: Experience with AWS services for designing cloud solutions. Familiarity with Azure is a plus. Experience with GenAI-specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart, etc.
  • Data Engineering: Expertise in working with both structured and unstructured data, including data cleaning and feature engineering with data stores like vector, relational, NoSQL databases, and data lakes through APIs.
  • Model Evaluation and Metrics: Proficiency in evaluating both classical ML models and LLMs using relevant metrics.
  • Optimization Techniques: Experience optimizing models for performance.
  • Problem-Solving Skills: Strong analytical skills to tackle complex engineering challenges, integrate new technologies, and improve existing processes.

Key Skills

Ranked by relevance

ai cloud aws machine learning mlops cicd infrastructure as code high availability containerization deep learning tensorflow pytorch python nosql
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Country Guide

Poland

Fast-growing Central European IT hub

Posted
Mar 13, 2025
Type
Full-time
Level
Mid-Senior
Location
Poland
Company
inhire.io

Industries

Software Development

Categories

Information Technology

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