Senior AI/ML Engineer (NLP/LLM)

3 Months ago • 4-8 Years • Artificial Intelligence

Job Summary

Job Description

EveryMatrix is seeking a Senior AI/ML Engineer with NLP/LLM expertise to join our CasinoEngine AI team in Lviv. You will design, implement and deploy AI/LLM applications, collaborating with engineers and product managers. You will also ensure optimal model performance and reliable results in production environments. You will need expert-level Python skills and experience writing scalable software modules, a strong understanding of ML algorithms and mathematical foundations, and hands-on experience with NLP, LLMs, RAG architecture, and agent-based systems. You should also have experience with AI frameworks and LLM providers, embeddings learning and vector databases, and conducting thorough research.
Must have:
  • Expert-level Python skills
  • Experience writing scalable software modules
  • Strong understanding of ML algorithms
  • Hands-on experience with NLP, LLMs, RAG architecture, and agent-based systems
  • Experience with AI frameworks and LLM providers
  • Experience with embeddings learning and vector databases
  • Ability to conduct thorough research
  • Experience designing data preparation, annotation and evaluation processes
  • Proficiency in Git
  • Upper-intermediate level English proficiency
  • Excellent communication and problem-solving skills
Good to have:
  • Experience working with and fine-tuning open-source LLM models
  • Experience working with SpaCy/Prodigy stack
  • Experience working with Google Cloud Platform
  • Experience of automated optimization of prompts, input parameters, weights
  • Experience working in a distributed team
  • Hands-on experience of applying CI/CD and MLOps principles
Perks:
  • 22 days of annual leave
  • 10 sick leave days per year
  • 30 medical leave days with medical allowance
  • 21 weeks of paid maternity leave
  • 4 weeks of paternity leave
  • On-site massages
  • Team-building activities
  • Daily catered lunch or monthly lunch allowance
  • Private Medical Subscription
  • Access online learning platforms
  • Gym allowance

Job Details

About us:

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

About the job:

EveryMatrix is seeking a Senior AI/ML Engineer with NLP/LLM expertise to join our CasinoEngine AI team in Lviv.
We are searching for an open-minded person who can apply foundational ML knowledge and leverage cutting-edge technologies to develop intelligent agents for internal business operations. The ideal candidate is proactive, capable of handling projects with minimal supervision, and has experience across all AI project lifecycle stages. They should have strong NLP skills, experience with LLMs for virtual assistant applications and solid math knowledge.

What You'll get to do:

  • Design, implement and deploy AI/LLM applications, collaborating with engineers and product managers. 
  • Ensure optimal model performance and reliable results in production environments. 
  • Communicate the results, identify new perspectives and stay updated on AI/ML advancements to drive innovation.

What You need to know:

  • Expert-level Python skills and experience writing scalable software modules.
  • Strong understanding of ML algorithms and mathematical foundations.
  • Hands-on experience with NLP, LLMs, RAG architecture, and agent-based systems Experience with AI frameworks and LLM providers (LangChain, HayStack, LlamaIndex, OpenAI etc.).
  • Experience with embeddings learning and vector databases.
  • Experience with choosing a tech stack for AI/ML projects and building a low-cost system from scratch with possibilities of its future growth.
  • Ability to conduct thorough research, including a review of academic literature and exploration of open-source ML and DL projects.
  • Experience designing data preparation, annotation and evaluation processes Proficiency in Git and collaborative agile development workflows.
  • Upper-intermediate level English proficiency.
  • Excellent communication and problem-solving skills, with the ability to present technical concepts to non-technical stakeholders.

Nice to have:

  • Experience working with and fine-tuning open-source LLM models.
  • Experience working with SpaCy/Prodigy stack.
  • Experience working with Google Cloud Platform Experience of automated optimization of prompts, input parameters, weights. 
  • Experience working in a distributed team is a plus.
  • Hands-on experience of applying CI/CD and MLOps principles.

Here's what we offer:

  • Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
  • Stay Healthy: 10 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance
  • Support for New Parents:
  • 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
  • 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Our office perks include on-site massages and frequent team-building activities in various locations.

Benefits & Perks:

  • Daily catered lunch or monthly lunch allowance. 
  • Private Medical Subscription. 
  • Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training.
  • Gym allowance

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!


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