We seek a highly skilled Python Machine Learning Engineer with extensive experience designing, developing and deploying Machine Learning models and NLP applications.
As a Python Machine Learning Engineer, you will provide expertise in LLMs for diverse Python applications, such as chatbots, question-answering systems, and content generation.

#LI-DNI#top-vacancies-10-LV#top-vacancies-10-LV-dec

Responsibilities

• Design, build and deploy Machine Learning models and applications using Python
• Research and provide expertise in LLMs for diverse applications such as question-answering systems, chatbots, and content generation
• Collaborate with cross-functional teams to establish product requirements, deliver top-quality solutions, and ensure seamless integration with existing systems
• Optimize and fine-tune LLM models to meet performance, efficiency and accuracy goals
• Create and maintain documentation for implemented solutions, ensuring accurate and concise reporting on technical specifications and system requirements
• Troubleshoot and resolve issues related to LLM usage in production scenarios, ensuring high reliability and performance

• 3+ years of Python development and Machine Learning engineering
• Experience with software engineering principles, including design patterns and code optimization techniques
• Solid programming skills in Python using efficient algorithms
• Proficiency working with LLMs, such as GPT3/ Llama/ T5/ BERT and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
• Familiarity with cloud computing platforms, such as AWS, Azure, or GCP
• Showcase of LLMOps: Auto-GPT, Langchain, LlamaIndex, VectorDBs
• Strong understanding of statistical methods and analysis
• Knowledge of version control systems such as Git

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more