AI/ML Engineer

hace 4 días

Rosario, Argentina Scale Up Recruiting Partners A tiempo completo
About the Role

We are seeking a highly skilled AI/ML Engineer to join our team at Scale Up Recruiting Partners. As a key member of our organization, you will be responsible for designing, developing, and implementing machine learning solutions to drive business growth and improvement.

Key Responsibilities
  • Design and Develop Machine Learning Models and Algorithms: Develop and implement machine learning models and algorithms to solve complex business problems, including machine translation, LLM fine-tuning, and quality assurance.
  • Project Ownership and Management: Take ownership of key projects from definition to deployment, ensuring that they meet technical requirements and maintain momentum and direction until delivery.
  • Technique and Algorithm Selection: Evaluate and select appropriate machine learning techniques and algorithms to solve specific problems, ensuring optimal results and efficiency.
  • Model Implementation and Optimization: Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks.
  • Statistical Analysis and Fine-Tuning: Perform statistical analysis and fine-tuning using test results to ensure model accuracy and efficiency.
  • Deployment and Monitoring: Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure.
  • AWS Technologies and Deployment: Use AWS technologies (including but not limited to Sagemaker, EC2, S3) to deploy and monitor production environments.
  • Continuous Learning and Improvement: Stay up-to-date with developments in the field, with a dedication to learning and applying new techniques to improve existing models and processes.
  • Documentation and Communication: Document diligently and communicate thoughtfully about ML experimentation, design, and deployment, ensuring effective collaboration with stakeholders.
Requirements
  • Effective Model Development: Success is evident when the models developed are accurate, efficient, and align with project requirements.
  • Positive Team Collaboration: Demonstrate ability to collaborate effectively with various teams and stakeholders, contributing positively to project outcomes.
  • Continuous Learning and Improvement: Commit to continuous learning and applying new techniques to improve existing models and processes.
  • Clear Communication: Ability to articulate findings, challenges, and insights to a range of stakeholders, ensuring understanding and appropriateness.
Skills and Knowledge
  • Python Programming: Ability to write robust, production-grade code in Python.
  • Communication and Documentation: Excellent communication and documentation skills.
  • Machine Learning Techniques: Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Machine Learning Frameworks: Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Natural Language Processing: Experience with natural language processing (NLP) techniques and tools.
  • Communication and Collaboration: Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Project Ownership and Mentoring: Experience taking ownership of projects from conception to deployment, and mentoring more junior team members.
  • AWS Technologies: Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a plus.
  • ML Management Technologies: Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc.
Education and Experience
  • Computer Science or Mathematics Degree: BSc in computer science, mathematics or similar field.
  • Master's Degree: Master's Degree is a plus.
  • Machine Learning Experience: 3+ years' experience as a Machine Learning Engineer or similar role.

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