Senior ML Engineer — Flexible Hours, LLM Platform

Intellectsoft; Argentina; Presencial; ARS 132.725.744 - 221.209.573; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Udemy courses

Flexible hours

Career path

Work from anywhere

Team events

Descripción de la vacante

Intellectsoft is seeking a senior ML Engineer to help build an AI-powered analytics platform. You will design and deploy scalable backend systems, integrate Azure OpenAI and other LLM providers, and develop end-to-end ML pipelines with a strong emphasis on MLOps and observability.

You will work on cutting-edge NLP/vision tasks, document understanding, OCR, and large-scale inference, collaborating with cross-functional teams in a fast-paced environment.

Formación

• Bachelor's or Master's degree in Computer Science or related field
• 7+ years Python coding experience
• 2+ years ML and production LLM systems
• 3+ years backend APIs with FastAPI, async patterns, rate limiting, SQLAlchemy
• Experience designing maintainable systems with DI, interfaces, abstract base classes
• Experience with vector databases (Pinecone/Weaviate/Chroma) and hybrid search
• Strong understanding of RAG architectures (retrieval, reranking, context assembly)
• Hands-on LangChain and LangGraph for LLM workflows
• Advanced Python (async/await, type hints, Pydantic, SOLID)
• MLOps with MLflow, model versioning, A/B testing; Langfuse a plus
• NLP and CV incl. document understanding, OCR, GPT-4 Vision
• Feature pipelines, real-time and batch inference, model serving
• Hugging Face experience required; LlamaIndex a plus
• Familiarity with SQL
• Good problem-solving in fast-paced, team environment

Responsabilidades

• Build ML engineering platforms and scalable backend systems with FastAPI
• Implement MLOps: KPI measurement, drift detection, feedback loops
• Deploy ML and DL models with focus on LLMs and GenAI
• Integrate Azure OpenAI and other LLMs with retry logic
• Stay up-to-date with state-of-the-art tech in LLMs and transformers
• Scale ML algorithms for massive data under SLAs
• Build model pipelines for feature engineering, inference, training
• Write Python/SQL code with OOP and async patterns
• Implement DI and layered architecture
• Develop LLM observability (Langfuse) to track prompts/costs
• Develop prompt management with versioning and fallbacks
• Use Celery workflows for async tasks
• Build multi-tenant architectures with data isolation
• Cost optimization for LLM usage (caching, batching)
• Integrate third-party APIs and enterprise systems
• Collaborate with client-facing teams on requirements
• Write production-ready, testable code with edge-case handling
• Ensure code quality via architecture guidelines and reviews
• Write unit and higher-level tests
• Troubleshoot with logging and tracing
• Use bug-tracking and version control tools
• Participate in scrum and agile ceremonies
• Document changes including OpenAPI/Swagger docs
• Explore new architecture patterns with proofs-of-concept

Conocimientos

Python

Problem solving

Team collaboration

Async programming

LLM concepts

NLP/Computer Vision

Educación

Bachelor's or Master's in CS or related

Herramientas

FastAPI

SQLAlchemy

Pinecone/Weaviate/Chroma

LangChain

LangGraph

Langfuse

Hugging Face

LlamaIndex

Azure OpenAI

SQL

Descripción del empleo

Intellectsoft is seeking a senior ML Engineer to help build an AI-powered analytics platform. You will design and deploy scalable backend systems, integrate Azure OpenAI and other LLM providers, and develop end-to-end ML pipelines with a strong emphasis on MLOps and observability.

You will work on cutting-edge NLP/vision tasks, document understanding, OCR, and large-scale inference, collaborating with cross-functional teams in a fast-paced environment.