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Experienced Machine Learning Engineer - Job Opportunity at Nogamy

Amsterdam, Netherlands
Full-time
Senior
Posted: January 29, 2025
Hybrid
EUR 80,000 - 120,000 annually based on Amsterdam market rates for senior ML engineers with LLM expertise

Benefits

Flexible hybrid work arrangement with focus on work-life balance
Access to cutting-edge AI technologies and research opportunities
Collaborative learning environment promoting knowledge sharing
Professional development through mentorship and innovation projects

Key Responsibilities

Lead development and implementation of advanced LLM applications with direct business impact
Drive cross-functional collaboration to translate business requirements into AI solutions
Optimize ML algorithms for enterprise-scale deployment and performance
Establish data preprocessing and quality assurance frameworks
Guide technical direction through industry trend analysis
Mentor junior engineers while fostering innovation culture

Requirements

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience

3+ years of experience in machine learning, with a strong focus on LLM applications

Required Skills

Python or R programming TensorFlow, PyTorch, or similar ML frameworks Data structures and algorithms Software design principles Data preprocessing Feature engineering Model evaluation techniques Problem-solving skills Team collaboration Communication skills
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Sauge AI Market Intelligence

Industry Trends

The LLM space is experiencing unprecedented growth with a 300% increase in enterprise adoption over the past year Hybrid specialized-generalist roles are becoming increasingly common as companies seek to bridge the gap between research and production AI There's a significant shift towards practical LLM applications rather than pure research, indicating a maturing market

Role Significance

Likely part of a specialized AI team of 5-8 engineers, given the focus on mentorship and cross-functional collaboration
Senior individual contributor role with technical leadership responsibilities and significant influence on AI strategy

Key Projects

LLM fine-tuning and deployment for enterprise applications Development of scalable ML infrastructure Implementation of novel AI solutions for business process optimization

Success Factors

Deep understanding of LLM architectures and their practical applications Ability to balance technical excellence with business value delivery Strong mentorship capabilities and technical leadership Experience with large-scale ML system deployment

Market Demand

Very high demand with significant competition for experienced LLM engineers, particularly in the European tech hubs

Important Skills

Critical Skills

LLM expertise with production deployment experience Strong software engineering fundamentals Data preprocessing and feature engineering capabilities Cross-functional communication skills

Beneficial Skills

Cloud platform expertise (AWS/GCP/Azure) MLOps practices Distributed systems knowledge Business domain understanding

Unique Aspects

Focus on practical LLM applications indicates a production-oriented environment rather than pure research
Hybrid work model with emphasis on collaborative innovation
Strong emphasis on mentorship suggests investment in team growth

Career Growth

2-3 years in role before advancement, depending on project impact and leadership development

Potential Next Roles

Lead Machine Learning Engineer AI Technical Architect Head of AI/ML Principal Machine Learning Engineer

Company Overview

Nogamy

Innovative AI-focused company working on cutting-edge language model applications

Growing presence in the European AI ecosystem with focus on practical LLM applications
Strategic position in Amsterdam's tech hub with potential for European market influence
Progressive technical environment with emphasis on innovation and knowledge sharing
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Data Sources & Analysis Information

Job Listings Data

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Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.