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Middle AI/ML Engineer

18 hours, 50 minutes ago
Colombia
Full-time
Junior
Machine Learning Engineer
Software Development
API Gateway AWS CI/CD CloudFormation Computer Vision Deep Learning Docker Hugging Face Kubernetes Machine Learning MLflow NLP NumPy OpenSearch Pandas Python SQL Terraform Transformers
Apply Now
Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 27

Description

  • Design and deliver ML pipelines from experimentation through production deployment.
  • Build, train, fine-tune, and optimize supervised, unsupervised, and generative AI models.
  • Write clean, tested, modular Python code for production ML workloads.
  • Deploy models and monitor performance to detect drift and maintain quality.
  • Develop LLM applications, including RAG systems and agent workflows.
  • Use AI coding tools on daily tasks to accelerate development and improve code quality.
  • Build with agent frameworks and integrate or create MCP servers for client and internal use.
  • Mentor junior engineers and provide actionable code review feedback.
  • Collaborate with DevOps, Data Engineering, and Solutions Architects on client projects.
  • Participate in architectural design discussions and propose process improvements and reusable accelerators.

Requirements

  • 1–3 years of hands-on ML engineering experience.
  • At least one ML model deployed to production or near-production.
  • Strong understanding of supervised and unsupervised ML algorithms, evaluation, and trade-offs.
  • Hands-on deep learning experience with CNNs, RNNs, or Transformers, including training and fine-tuning.
  • Depth in at least one domain such as NLP, Computer Vision, Recommendation Systems, or Time Series.
  • Experience building LLM applications with OpenAI, Anthropic, or Hugging Face APIs.
  • Hands-on RAG design experience, including chunking, embeddings, retrieval, and generation.
  • Familiarity with vector databases such as OpenSearch, Pinecone, Chroma, or FAISS.
  • Proficiency with AI coding tools such as Claude Code, Cursor, or Copilot beyond autocomplete.
  • Experience building tool-using, stateful agents with an orchestration framework and understanding of MCP.
  • Solid AWS knowledge, including SageMaker, Lambda, S3, ECR, ECS, and API Gateway.
  • Familiarity with Amazon Bedrock and basic awareness of Infrastructure as Code tools such as Terraform or CloudFormation.
  • Production ML deployment experience with experiment tracking tools such as MLflow or Weights & Biases.
  • Experience with CI/CD for ML, model monitoring, and drift detection.
  • Advanced Python skills, strong pandas, NumPy, SQL, and Docker experience.
  • 1–3 years of team-based or client-facing project experience.
  • Bachelor’s or Master’s degree in CS, Data Science, Math, or equivalent practical experience.
  • Fluent English level of B2+.
  • Nice to have: AWS certifications, Kubernetes experience, GraphRAG or custom MCP server experience, and open-source contributions or published work on agentic systems.

Benefits

  • Competitive salary based on competencies and market rates.
  • Premium AI tooling, including Claude Code, Cursor, and the Provectus AI toolkit.
  • Mentorship from Senior ML Engineers and Tech Leads.
  • Clear growth path from Mid-Level to Senior ML Engineer to Tech Lead.
  • Learning budget for courses, certifications, and conferences.
  • Remote-first culture with projects across LATAM, North America, and Europe.
  • Health benefits.

Interested in this position?

Apply directly on the company website

Apply Now

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