DescriptionOur customers product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries including healthcare to optimize processes improve customer experiences and support innovation. It integrates easily with existing systems making it easier for teams to make quick data-driven decisions to deliver cutting-edge solutions.
Requirements- A master or bachelors degree in computer science or related field from a top university;
- 4 years; hands-on experience in Machine Learning (ML) with production LLM systems;
- Good fundamentals of machine learning deep learning and fine-tuning models (LLM) including:
- Understanding of transformer architectures
- Prompt engineering expertise
- Embeddings and vector search;
- Experienced in backend API design with FastAPI async patterns rate limiting;
- Experience with vector DB including:
- Pinecone Weaviate or Chroma
- Embedding storage and similarity search
- Hybrid search implementations;
- Strong programming expertise in Python is must including:
- Async programming (asyncio async/await)
- Type hints and Pydantic
- SOLID principles and design patterns. PySpark/Scala is optional;
- Experience in ML Ops to measure and track model performance including:
- MLFlow for model tracking
- Langfuse for LLM observability (strongly preferred)
- Model versioning and A/B testing;
- Experience in working with NLP & computer vision including:
- Text extraction and preprocessing
- Document understanding (layout tables)
- OCR processing o GPT-4 Vision integration;
- Experience in implementing:
- Feature engineering pipelines
- Real-time inferencing systems
- Batch prediction pipelines
- Model serving with FastAPI;
- Experience in ML frameworks including:
- HuggingFace (transformers datasets) mandatory o Keras/TensorFlow/PyTorch
- LangChain - strongly preferred
- LlamaIndex for RAG.
Nice to have skills:
- Understanding of DevOps CI / CD including: Docker containerization Azure DevOps pipelines or GitHub Actions Kubernetes (nice to have)
- Data security including: Multi-tenant data isolation Secure key management (Azure Key Vault) Audit trail implementation
- Experience in designing on cloud platform including: Azure (strongly preferred): Azure OpenAI Blob Storage Key Vault Container Registry AWS or GCP
- Experience in data engineering in Big Data systems including: Large-scale data processing ETL/ELT pipelines
Responsibilities:
- Developing and implementing scalable backend systems APIs and microservices using FastAPI
- Install best practices for software development ensure designs meet requirements and deliver high-quality work on schedule
- Writing application backend codes using Python SQL async/await patterns using strong object-oriented principles asynchronous programming
- Implementing dependency injection patterns using dependency injector library
- Integrating Azure OpenAI (GPT-4 GPT-4 Vision) with proper retry logic and error handling
- Building LLM observability using Langfuse for tracking prompts tokens costs and latency
- Developing prompt management systems with versioning and fallback mechanisms
- Implementing Celery workflows for async task processing and complex pipelines
- Building multi-tenant architectures with client data isolation
- Developing layered architecture (Service Foundation Orchestration DAL patterns)
- Implementing cost optimization for LLM usage (prompt caching batch processing token optimization)
- Troubleshooting backend application codes with structured logging and distributed tracing
- Developing and implementing back-end architecture following SOLID principles and design patterns
- Integrating third-party APIs (Veeva Vault Adobe PDF Services OCR services)
- Documenting application changes and developing updates using OpenAPI/Swagger
Benefits- Awesome projects with an impact
- Udemy courses of your choice
- Team-buildings events marathons & charity activities to connect and recharge
- Workshops trainings expert knowledge-sharing that keep you growing
- Clear career path
- Absence days for work-life balance
- Flexible hours & work setup - work from anywhere and organize your day your way
Required Experience:
IC
DescriptionOur customers product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various indus...
DescriptionOur customers product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries including healthcare to optimize processes improve customer experiences and support innovation. It integrates easily with existing systems making it easier for teams to make quick data-driven decisions to deliver cutting-edge solutions.
Requirements- A master or bachelors degree in computer science or related field from a top university;
- 4 years; hands-on experience in Machine Learning (ML) with production LLM systems;
- Good fundamentals of machine learning deep learning and fine-tuning models (LLM) including:
- Understanding of transformer architectures
- Prompt engineering expertise
- Embeddings and vector search;
- Experienced in backend API design with FastAPI async patterns rate limiting;
- Experience with vector DB including:
- Pinecone Weaviate or Chroma
- Embedding storage and similarity search
- Hybrid search implementations;
- Strong programming expertise in Python is must including:
- Async programming (asyncio async/await)
- Type hints and Pydantic
- SOLID principles and design patterns. PySpark/Scala is optional;
- Experience in ML Ops to measure and track model performance including:
- MLFlow for model tracking
- Langfuse for LLM observability (strongly preferred)
- Model versioning and A/B testing;
- Experience in working with NLP & computer vision including:
- Text extraction and preprocessing
- Document understanding (layout tables)
- OCR processing o GPT-4 Vision integration;
- Experience in implementing:
- Feature engineering pipelines
- Real-time inferencing systems
- Batch prediction pipelines
- Model serving with FastAPI;
- Experience in ML frameworks including:
- HuggingFace (transformers datasets) mandatory o Keras/TensorFlow/PyTorch
- LangChain - strongly preferred
- LlamaIndex for RAG.
Nice to have skills:
- Understanding of DevOps CI / CD including: Docker containerization Azure DevOps pipelines or GitHub Actions Kubernetes (nice to have)
- Data security including: Multi-tenant data isolation Secure key management (Azure Key Vault) Audit trail implementation
- Experience in designing on cloud platform including: Azure (strongly preferred): Azure OpenAI Blob Storage Key Vault Container Registry AWS or GCP
- Experience in data engineering in Big Data systems including: Large-scale data processing ETL/ELT pipelines
Responsibilities:
- Developing and implementing scalable backend systems APIs and microservices using FastAPI
- Install best practices for software development ensure designs meet requirements and deliver high-quality work on schedule
- Writing application backend codes using Python SQL async/await patterns using strong object-oriented principles asynchronous programming
- Implementing dependency injection patterns using dependency injector library
- Integrating Azure OpenAI (GPT-4 GPT-4 Vision) with proper retry logic and error handling
- Building LLM observability using Langfuse for tracking prompts tokens costs and latency
- Developing prompt management systems with versioning and fallback mechanisms
- Implementing Celery workflows for async task processing and complex pipelines
- Building multi-tenant architectures with client data isolation
- Developing layered architecture (Service Foundation Orchestration DAL patterns)
- Implementing cost optimization for LLM usage (prompt caching batch processing token optimization)
- Troubleshooting backend application codes with structured logging and distributed tracing
- Developing and implementing back-end architecture following SOLID principles and design patterns
- Integrating third-party APIs (Veeva Vault Adobe PDF Services OCR services)
- Documenting application changes and developing updates using OpenAPI/Swagger
Benefits- Awesome projects with an impact
- Udemy courses of your choice
- Team-buildings events marathons & charity activities to connect and recharge
- Workshops trainings expert knowledge-sharing that keep you growing
- Clear career path
- Absence days for work-life balance
- Flexible hours & work setup - work from anywhere and organize your day your way
Required Experience:
IC
View more
View less