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AI/ML Engineer

Role overview

Qualifications

  • Strong communication skills and ability to work with cross-functional teams
  • Proficiency in Python and ML frameworks/libraries such as TensorFlow, PyTorch, or Scikit-learn
  • Solid understanding of machine learning algorithms, deep learning, and statistical modeling
  • Experience with data processing frameworks (e.g., Pandas, Spark) and SQL/NoSQL databases

Responsibilities

  • Design, develop, and deploy machine learning models and AI-driven solutions
  • Collect, preprocess, and analyze large datasets to ensure high-quality model training
  • Build scalable data pipelines and integrate ML models into production environments
  • Monitor model performance, retrain, and fine-tune models as needed

Key facts

  • Remote from: Argentina
  • Full time
  • MLOps Engineer
  • English

Hard skills

Other skills

  • Communication
  • Collaboration
  • Problem Solving

About the company

Toplent logo

Toplent

  • Staffing & Recruiting
  • 11–50
Hire Beyond Borders 🌍 We help companies scale faster by connecting them with top-tier remote professionals across Southeast Asia, LATAM, and South Africa. Our talent is fully vetted, cost-effective, and impact-ready β€” empowering your team to grow without the usual complexities. βœ… Access world-class professionals βœ… Save time & reduce payroll costs βœ… Flexible: self-manage or let us handle sourcing, payroll & compliance πŸ’‘ Pay nothing unless you hire Let’s build your global team. πŸ“©hello@toplent.co

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Job description

🌟 About the Job

Toplent helps companies scale faster by connecting them with exceptional remote professionals from SEA, LATAM, and South Africa. We are currently collaborating with a client who is seeking a skilled and reliable AI/ML Engineer to join their team on a remote full-time basis.

πŸ’Ό Responsibilities:

  • 🧠 Design, develop, and deploy machine learning models and AI-driven solutions
  • πŸ“Š Collect, preprocess, and analyze large datasets to ensure high-quality model training
  • βš™οΈ Build scalable data pipelines and integrate ML models into production environments
  • πŸ” Monitor model performance, retrain, and fine-tune models as needed
  • πŸ› οΈ Collaborate with software engineers, data scientists, and product managers to deliver AI-powered features
  • πŸ“‘ Document experiments, methodologies, and best practices for reproducibility
  • πŸ”’ Ensure compliance with data privacy and security standards in all AI/ML workflows

πŸ› οΈ Required Skills:

  • πŸ’¬ Strong communication skills and ability to work with cross-functional teams
  • πŸ‘©β€πŸ’» Proficiency in Python and ML frameworks/libraries such as TensorFlow, PyTorch, or Scikit-learn
  • πŸ“Š Solid understanding of machine learning algorithms, deep learning, and statistical modeling
  • πŸ—‚οΈ Experience with data processing frameworks (e.g., Pandas, Spark) and SQL/NoSQL databases
  • ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) for ML model deployment
  • 🧾 Hands-on experience with MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
  • πŸ”§ Strong problem-solving skills and ability to optimize models for scalability and performance
  • βœ… Previous experience as an AI/ML Engineer or in a similar role is strongly preferred

🎁 Benefits:

  • 🌍 Remote Role (Work from anywhere)
  • πŸ’΅ Competitive Salary in USD
  • πŸš€ Professional growth opportunities and access to cutting-edge AI/ML projects
  • 🀝 Collaborative and supportive remote work culture

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