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Senior ML Engineer with Python (IR-536)

1 month, 2 weeks ago
Argentina, Brazil
Full-time
Senior
Backend Engineer
Software Development
Agile AWS Azure Celery CI/CD Computer Vision Docker FastAPI Feature Engineering GCP Generative AI Git GitHub Actions Hugging Face Kubernetes LLM Machine Learning Microservices MLflow MLOps NLP OpenAPI Python Scrum SQL SQLAlchemy
Apply Now
Intellectsoft

Intellectsoft

Intellectsoft is a leading software development company offering a wide range of services including mobile strategy, app development, web development, and enterprise solutions.

Internet Software & Services
251-1K
Founded 2007
View All Jobs 7

Description

  • Build and refine ML engineering platforms, backend systems, APIs, and microservices using FastAPI.
  • Implement MLOps practices including KPI tracking, model drift detection, and feedback loops.
  • Deploy and operationalize machine learning and deep learning models, with a strong focus on LLMs and generative AI.
  • Integrate Azure OpenAI and other LLM providers with robust retry logic and error handling.
  • Develop backend application code in Python and SQL using object-oriented and asynchronous programming patterns.
  • Design and implement dependency injection and layered architecture across service, foundation, orchestration, and data access layers.
  • Build LLM observability and prompt management systems, including versioning, fallback mechanisms, and cost tracking.
  • Implement asynchronous workflows and complex pipelines using Celery or similar tools.
  • Create multi-tenant architectures with client data isolation and cost optimization strategies for LLM usage.
  • Integrate third-party APIs and services, collaborate on technical requirements, and document changes with API documentation.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 7+ years of strong Python coding experience.
  • 2+ years of hands-on experience with machine learning and production LLM systems.
  • 3+ years of experience building backend APIs with FastAPI, async patterns, rate limiting, and SQLAlchemy.
  • Experience designing maintainable and extensible systems using dependency injection, interfaces, and abstract base classes.
  • Experience with vector databases such as Pinecone, Weaviate, or Chroma, as well as hybrid search.
  • Strong understanding of RAG architectures, including retrieval, reranking, context assembly, and response generation.
  • Hands-on experience with LangChain and LangGraph for building and orchestrating LLM workflows.
  • Advanced Python skills, including async/await, type hints, Pydantic, and SOLID principles.
  • MLOps experience with MLflow, model versioning, and A/B testing; experience with Langfuse is a plus.
  • Experience in NLP and computer vision, including document understanding, OCR, and GPT-4 Vision.
  • Experience building feature pipelines, real-time and batch inference systems, and model serving.
  • Hands-on experience with Hugging Face is required; experience with LlamaIndex is a plus.
  • Familiarity with SQL and other database technologies.
  • Strong problem-solving skills and ability to work in a fast-paced, team-oriented environment.
  • Understanding of DevOps and CI/CD, including Docker, Azure DevOps pipelines or GitHub Actions, and Kubernetes is a plus.
  • Experience with data security topics such as multi-tenant isolation, secure key management, and audit trails is a plus.
  • Azure cloud experience is strongly preferred, including Azure OpenAI, Blob Storage, Key Vault, and Container Registry; AWS or GCP is also acceptable.
  • Experience with big data systems, large-scale processing, and ETL/ELT pipelines is a plus.
  • Experience with rate limiting and quota management for high-throughput API usage is a plus.
  • Experience with cost management and optimization for LLM usage at scale is a plus.
  • Experience with document processing, including PDF extraction and OCR tooling, is a plus.
  • Production incident management and on-call experience is a plus.
  • Testing strategies for non-deterministic LLM outputs, such as golden datasets and fuzzy matching, is a plus.
  • Domain knowledge in regulated industries such as healthcare or pharma workflows and regulatory compliance is a plus.

Benefits

  • Awesomely impactful projects.
  • Udemy courses of your choice.
  • Team-building activities, events, marathons, and charity activities.
  • Workshops, trainings, and expert knowledge-sharing for continued growth.
  • Clear career path.
  • Absence days for work-life balance.
  • Flexible hours and work setup, including the ability to work from anywhere.

Interested in this position?

Apply directly on the company website

Apply Now

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