Careers

AI/ML Engineer

Contract opportunity for a remote AI/ML Engineer who can build intelligent models, AI solutions, and deployment-ready automation for business needs.

Contract Remote Posted February 9th
Job Overview

About the role

Amistad Labs is hiring an AI/ML Engineer on a contract basis for a remote role. The candidate will design, develop, train, test, and deploy machine learning models and AI solutions to support business needs and intelligent automation.

Responsibilities

Key Responsibilities

  • Design, build, train, and deploy machine learning models.
  • Prepare, clean, and analyze large datasets.
  • Perform feature engineering, model selection, training, testing, and evaluation.
  • Develop AI solutions using machine learning, deep learning, NLP, computer vision, or generative AI techniques.
  • Collaborate with engineering, data, and business teams to understand project requirements.
  • Improve model accuracy, performance, scalability, and reliability.
  • Build APIs, pipelines, or integrations for model deployment.
  • Document development, testing, deployment, and performance results.
Skills

Required Skills

  • Strong knowledge of machine learning algorithms and AI model development.
  • Proficiency in Python.
  • Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
  • Knowledge of data preprocessing, feature engineering, model training, and evaluation.
  • Experience working with structured and unstructured data.
  • Familiarity with APIs, cloud platforms, or MLOps practices.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently in a remote environment.
Preferred

Preferred Qualifications

  • Previous experience as an AI/ML Engineer, Machine Learning Engineer, or similar role.
  • Experience with NLP, computer vision, deep learning, or generative AI.
  • Knowledge of AWS, Azure, or Google Cloud.
  • Experience with Docker, Kubernetes, CI/CD, or model deployment pipelines.
  • Understanding of SQL, databases, and data engineering workflows.
  • Excellent documentation and teamwork skills.