Locations

• Bulgaria
• Georgia
• Lithuania
• Mexico
• Moldova
• Poland
• Romania
• Ukraine

Company Background

Our client is a mission-driven healthcare technology company focused on improving patient outcomes through data. They deliver the highest PROMs (Patient-Reported Outcome Measures) adoption rate in the industry (80%+), helping healthcare providers elevate care quality and operational efficiency.

Project Description

The project involves building a suite of AI-powered tools that enhance patient engagement and streamline operations. Solutions include automated communication systems integrated with CRM platforms, data extraction and deduplication from unstructured device data, predictive analytics to identify early risk indicators, and a natural language interface to explore insights and generate reports.

Technologies

• Python, FastAPI/Django
  
• NLP, Computer Vision, Predictive Analytics, LLMs (RAG, Agents, Chains)
  
• PyTorch, TensorFlow, Hugging Face, MLflow, Docker, AWS (ECR, ECS, EC2, Lambda), CI/CD
  
• SQL/NoSQL, Vector Databases (Qdrant, Chroma), OpenCV, Pandas
  
• Kafka, RabbitMQ, SageMaker, Dask, Spark, Kubernetes, Azure or GCP

What You'll Do

• Architect and deliver scalable ML solutions focused on NLP, CV, and GenAI
• Own the end-to-end lifecycle: data acquisition, modeling, evaluation, deployment
• Collaborate with stakeholders to translate goals into technical milestones
• Refactor legacy code into modern, modular systems
• Ensure strong test coverage, observability, and system reliability
• Lead internal demos, conduct workshops, and drive technical excellence

Job Requirements

• 6+ years of hands-on experience in ML Engineering
• Strong Python skills; experience building production ML/NLP/CV systems
• Solid understanding of ML fundamentals, including GenAI architectures and embeddings
• Experience deploying in AWS environments using Docker, CI/CD pipelines
• Familiarity with microservice architectures and message brokers
• Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Hugging Face, OpenAI, Bedrock)
• English: from B1+ (both spoken and written)

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.