Machine Learning Engineer

HNM Systems is the leading tech-enabled professional services provider, shaping the workforce across the telecom, energy, and technology sectors. We connect specialized talent with direct hire, contract-to-hire, and consulting opportunities that support fiber expansion, digital infrastructure, wireless networks, and smart grid energy solutions. Our innovative approach delivers high-impact outcomes, with a 94% success rate in talent placement and project execution. Relentlessly people-driven, HNM Systems sets the industry standard through exceptional employee experience and long-term client value.

Why This Opportunity Stands Out

This opportunity focuses on machine learning and artificial intelligence development, with an emphasis on large language models and agentic AI. The position provides exposure to the machine learning lifecycle, including data preparation, training, evaluation, and basic deployment. It also offers the opportunity to work with agentic AI concepts such as tool calling, prompt chaining, multi-step workflows, and human-in-the-loop solutions.

Overview

Our customer is seeking a Machine Learning Engineer to support our customer’s machine learning and artificial intelligence initiatives in Brazil. The position focuses on large language models and agentic AI.

The successful candidate will bring strong foundational Python skills, relevant project or internship experience, and an understanding of how ML solutions progress from data preparation to deployment and monitoring. This individual should be comfortable collaborating with senior engineers, communicating technical information clearly, and learning through hands-on delivery.

Key Responsibilities

• Contribute to machine learning and artificial intelligence development focused on large language models and agentic AI.
• Support work involving data preparation, model training, evaluation, and basic deployment.
• Work with agentic AI concepts such as tool calling, prompt chaining, multi-step workflows, and human-in-the-loop solutions.
• Support model deployment through APIs, model-serving tools, or batch-inference pipelines.
• Apply version control, experiment tracking, reproducibility, monitoring, and model-performance checks.
• Collaborate with and learn under the guidance of senior engineers.
• All other duties as assigned.

Required Qualifications

• One to two years of experience, or strong hands-on project or internship experience, in machine learning, artificial intelligence, or a related field.
• Strong foundational Python skills.
• Exposure to frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Understanding of the machine learning and large language model lifecycle, including data preparation, training, evaluation, and basic deployment.
• Familiarity with agentic AI concepts, such as tool calling, prompt chaining, multi-step workflows, or human-in-the-loop solutions.
• Basic experience deploying models through APIs, model-serving tools, or batch-inference pipelines.
• Awareness of version control, experiment tracking, reproducibility, monitoring, and model-performance checks.
• Strong communication skills, a collaborative mindset, and the ability to learn under the guidance of senior engineers.

EEO / Disclaimer

This is a long-term contract (based on performance) engagement in Brazil offered through HNM Systems, a staffing firm. The engagement will be administered through the applicable employer-of-record or local contracting entity.

HNM Systems and the applicable employing or contracting entity are committed to fair and equal opportunity throughout the recruitment and engagement process, in accordance with applicable Brazilian law.

Qualified applicants will be considered based on their qualifications, experience, the requirements of the engagement, and business needs, without unlawful discrimination.

Personal information collected during the recruitment process will be handled in accordance with applicable privacy and data-protection requirements.