fokcus

ML/AI Lead

MDiet · Астана · гибрид

lead
Свежая вакансия Появилась 1 мес назад

Должность: ML/AI lead

https://mdiet.org/

Оплата: $4000-$5000

MDiet is an early-stage HealthTech startup developing an AI-powered platform that helps reduce patient readmissions.The product targets the US healthcare market.

Описание вакансии

Tech Stack

  • LangGraph + LangChain (Agentic AI)
  • vLLM + Hugging Face
  • PyTorch + PEFT (LoRA/QLoRA)
  • Vector databases (pgvector, Qdrant, Weaviate, Chroma, Pinecone)
  • Advanced RAG + Prompt Engineering + Embeddings
  • FastAPI + PostgreSQL
  • Docker + Kubernetes + async processing (Arq / Celery / Redis Streams)
  • Apache Airflow (data pipelines)
  • AWS Cloud (EC2, S3, SageMaker, Lambda, RDS, Bedrock)
  • Structured output (Outlines / Guidance / Instructor)
  • Evaluation & observability (Langfuse, RAGAS / DeepEval, Prometheus + Grafana)
  • MLOps practices

Requirements

  • Strong hands-on experience with production LLM systems (RAG + agents + inference)
  • Experience with fine-tuning open-source LLMs (LoRA/QLoRA/PEFT) with measurable results
  • Experience building data pipelines and versioning for LLM/RAG workloads
  • Strong skills in evaluation, hallucination reduction and structured output
  • Production Python + FastAPI + async processing
  • Experience with self-hosted inference (vLLM or similar) and GPU optimization
  • English proficiency at C1 level (strong written and spoken communication skills)
  • Bachelor’s degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
  • 5+ years in ML/AI, with 1.5–2+ years in production LLM projects
  • Experience with MLOps

Responsibilities

  • Design and build multi-step LLM agents and pipelines for medical data curation
  • Develop production RAG systems with high grounding and citation quality
  • Deploy and optimize self-hosted LLM inference (vLLM) with cost and throughput optimization
  • Fine-tune open-source models on domain-specific medical data with measurable improvement
  • Build data pipelines and versioning for documents, embeddings and training data
  • Create evaluation frameworks, guardrails and hallucination control systems

Implement reliable structured output and data extraction

  • Work closely with physicians and Platform Architect

Nice to have

  • Experience in medical / clinical NLP or regulated domains
  • Cost modeling and optimization of LLM workloads
  • MLOps and production fine-tuning pipelines
  • Apache Airflow, Prometheus/Grafana, or AI Solution Architecture
  • Publications in relevant fields

Контакты

Telegram Telegram TG: @team_mdiet Email: team@mdiet.org Whatsapp

Навыки

LangGraphLangChainAgentic AIvLLMHugging FacePyTorchPEFTLoRAQLoRApgvectorQdrantWeaviateChromaPineconeFastAPIPostgreSQLDockerKubernetesArqCeleryRedis StreamsApache AirflowAWS EC2AWS S3AWS SageMakerAWS LambdaAWS RDSAWS BedrockLangfuseRAGASDeepEvalPrometheusGrafanaPython
Показать как в источнике 
#вакансия #астана #оффлайн #workITkz #dsml, #python, #teamlead
Должность: ML/AI lead
Компания: MDiet 
https://mdiet.org/
Город: Астана
Занятость: оффлайн
Оплата: $4000-$5000

MDiet is an early-stage HealthTech startup developing an AI-powered platform that helps reduce patient readmissions.The product targets the US healthcare market.
Описание вакансии:
Tech Stack:
- LangGraph + LangChain (Agentic AI)
 - vLLM + Hugging Face
 - PyTorch + PEFT (LoRA/QLoRA)
 - Vector databases (pgvector, Qdrant, Weaviate, Chroma, Pinecone)
 - Advanced RAG + Prompt Engineering + Embeddings
 - FastAPI + PostgreSQL
 - Docker + Kubernetes + async processing (Arq / Celery / Redis Streams)
 - Apache Airflow (data pipelines)
 - AWS Cloud (EC2, S3, SageMaker, Lambda, RDS, Bedrock)
 - Structured output (Outlines / Guidance / Instructor)
 - Evaluation & observability (Langfuse, RAGAS / DeepEval, Prometheus + Grafana)
 - MLOps practices
Requirements:
 - Strong hands-on experience with production LLM systems (RAG + agents + inference)
 - Experience with fine-tuning open-source LLMs (LoRA/QLoRA/PEFT) with measurable results
 - Experience building data pipelines and versioning for LLM/RAG workloads
 - Strong skills in evaluation, hallucination reduction and structured output
 - Production Python + FastAPI + async processing
 - Experience with self-hosted inference (vLLM or similar) and GPU optimization
 - English proficiency at C1 level (strong written and spoken communication skills)
- Bachelor’s degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
 - 5+ years in ML/AI, with 1.5–2+ years in production LLM projects
 - Experience with MLOps

Responsibilities:
 - Design and build multi-step LLM agents and pipelines for medical data curation
 - Develop production RAG systems with high grounding and citation quality
 - Deploy and optimize self-hosted LLM inference (vLLM) with cost and throughput optimization
 - Fine-tune open-source models on domain-specific medical data with measurable improvement
 - Build data pipelines and versioning for documents, embeddings and training data
 - Create evaluation frameworks, guardrails and hallucination control systems
Implement reliable structured output and data extraction
 - Work closely with physicians and Platform Architect
Nice to have:
 - Experience in medical / clinical NLP or regulated domains
 - Cost modeling and optimization of LLM workloads
 - MLOps and production fine-tuning pipelines
 - Apache Airflow, Prometheus/Grafana, or AI Solution Architecture
 - Publications in relevant fields

Контакты: 
Telegram Telegram TG: @team_mdiet  Email: team@mdiet.org
Whatsapp
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