AI Engineer Middle / Middle+ [AI Team]

1 мес. назад

WorldwideMiddleRemote

awsgopythonocrllm

Develop and manage AI/ML pipelines using Large Language Models and advanced OCR solutions to automate business processes and enhance productivity.

Будет плюсом

Previous experience delivering business-critical ML/AI-powered applications
Experience with adapting, fine-tuning, and deploying open-source models (e.g., Llama, Mistral) in an on-premise or private cloud environment
Personal portfolio of hobby ML projects or contributions to open-source tools
 
Innovative Spirit:  A commitment to creativity and groundbreaking solutions
Honest Feedback:  valuing open, transparent communication
Supportive Team:  a strong, collaborative community
Celebrating Achievements:  recognizing our wins together
High-Tech Environment:  a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
 
Relocation support to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family
Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5
Healthcare Coverage
Education Budget:  Language lessons, professional training and certifications
Wellness Budget:  Mental health and fitness activity reimbursements
Vacation policy:  20 days of annual leave and paid sick leave

Другое

We are looking for AI Engineers for AI Team  - a team is focused on two exciting goals: using AI tools to automate business processes across the company, and bringing AI solutions to everyone to boost productivity and spark interest in AI concepts among decision-makers. We use AWS, Go, Python and cloud-based models, yet still flexible to mix ready-made tools and ship our custom solutions.We're all about building systems that deliver real, valuable results for our organization. Our team has successfully pioneered a portfolio of AI solutions, including customer care chatbot, voice solutions, speech-to-text services, and an integrated HR automation ecosystem. You will be a key specialist in a cross-functional team, working closely with backend and other LLM engineers.
Challenges that await you:
Develop and manage AI/ML pipelines using Large Language Models. Your focus will be on model selection, configuration, creating robust wrappers, and designing the overall pipeline for data storage and retrieval
Work with advanced prompts, set up RAG-oriented data sources for efficient retrieval, and evaluate model outputs to ensure accuracy, relevance, and quality
Implement and refine advanced OCR solutions to automatically read, analyze, and validate business documents. This includes tasks such as identifying and extracting key entities, verifying their attributes, and ensuring data consistency across documents
Design and execute experiments and A/B tests to systematically compare the performance of different prompts, pipelines, and model configurations. You will use metrics to drive product decisions and continuous improvement cycles
Work with the rest of the team to solve complex AI implementation challenges, review code, and ensure we deliver top-notch solutions
 
Hands-on experience working with LLMs, with a strong focus on prompt engineering, building ML pipelines, and model integration
Understanding of quality evaluation metrics and practical experience with A/B testing for ML models
Ability to prioritize hypotheses, clearly justify the selection of specific models, methods or algorithms, and architect efficient engineering solutions
Experience delivering high-quality software, CI/CD pipelines, and end-to-end ownership of the development lifecycle from technical design to post-deployment monitoring
Expertise in Python and its ecosystem, as well as language- and framework-agnostic mindset to achieve project goals
Familiarity with various options for LLM providers, both commercial such as OpenAI, Anthropic, Cohere, etc, and open-source, such as Llama and Mistral
Familiarity with various open-source tools to build and evaluate RAG applications such as LangChain, LlamaIndex, Ragas, MLflow etc.
Excellent communication skills and ability to explain complex technical concepts to a broad audience of stakeholders
B1 or higher English level for effective communication with an international team