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Human Agency

ML Engineer

Sorry, this job was removed at 03:02 p.m. (CST) on Thursday, May 08, 2025
In-Office or Remote
2 Locations
In-Office or Remote
2 Locations

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About Human Agency

Human Agency offers full-service business solutions to partners and the organizations we create. We are a team of problem solvers driven by purpose and commitment to the free exercise of our and our partners’ human agency.

Job Description

We are seeking a skilled Machine Learning Engineer to join our dynamic team. This position requires interfacing with key stakeholders and applying technical proficiency across different stages of the Software Development Life Cycle, including requirements elicitation, application architecture definition, and design. You will play an important role in creating high-level design artifacts, delivering high-quality code deliverables for modules, leading validation for all types of testing, and supporting activities related to implementation, transition, and warranty. You will be part of a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Key Responsibilities:

  • ML Models: Create and validate statistical models against client data sets to establish significantly significant findings that are a value add to the customer.
  • Deploy AI Solutions: Design and implement scalable ML models that integrate seamlessly into enterprise systems, ensuring they meet business requirements and performance standards.
    Develop Scalable Data Pipelines: Construct robust data pipelines to handle large-scale datasets efficiently, ensuring data integrity and accessibility for machine learning applications.
  • API Development and System Integration: Create and manage APIs to facilitate smooth interaction between AI models and other software components, ensuring cohesive system functionality.
    Model Fine-Tuning: Continuously refine and optimize machine learning models to enhance performance and accuracy, adapting to evolving data patterns and business requirements.
  • Implement MLOps and DevOps Best Practices: Apply industry-standard practices in MLOps and DevOps to automate workflows, monitor model performance, and maintain system reliability and scalability.
  • Full-Stack Machine Learning: Engage in end-to-end development processes, from data preprocessing and model training to deployment and monitoring, ensuring a comprehensive approach to AI solution delivery.
  • Leverage Open-Source Libraries: Utilize and contribute to open-source machine learning libraries and frameworks to accelerate development and promote community collaboration.

Qualifications:

  • Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: 2+ years of experience in AI/ML development, with expertise in Generative AI and AI agents.
    Technical Proficiency: Strong experience in Python, TensorFlow/PyTorch, and Hugging Face Transformers. Familiarity with LLMs (GPT, Claude, Gemini, etc.), vector databases, and retrieval-augmented generation (RAG).
  • Knowledge Base: Strong understanding of NLP, deep learning, and model fine-tuning techniques. Knowledge of prompt engineering, reinforcement learning, and AI safety principles.
  • Development Methodologies: Experience with Lean/Agile development methodologies.
  • DevOps Proficiency: Ability to work effectively within Linux and Cloud infrastructure to provision and configure resources as needed.
  • Project Lifecycle: Experience in project lifecycle activities on development and maintenance projects.
  • Soft Skills: Ability to work in a team in diverse/multiple stakeholder environments. Strong analytical and problem-solving skills.
  • Additional Expertise: Experience with self-learning AI agents, autonomous workflows, or multi-agent systems. Background in graph-based AI, symbolic reasoning, or cognitive architectures. Contributions to open-source AI/ML projects or research publications in relevant domains.
  • Ability to travel when needed - as per job requirements.

Why Join Us?

  • Work on impactful AI projects across industries.
  • Build AI solutions from the ground up with autonomy and ownership.
  • Competitive compensation and remote flexibility.
  • Collaborate with a team passionate about innovation and problem-solving.


Here at Human Agency, we support a collaborative environment and value open participation from individuals with different ideas, experiences, and perspectives. We believe having a diverse team makes us a more interesting and innovative place to work, and we strive every day to make Human Agency a welcoming and inclusive place for all.

Equal Opportunity Employment Statement

Human Agency is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. 

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Human Agency is committed to providing veteran employment opportunities to our service men and women.

Human Agency Chicago, Illinois, USA Office

Chicago, IL, United States

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

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  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
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