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AI Operations Lead

extra holidays - extra parental leave
Remote: 
Full Remote
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Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field., 2+ years of experience in AI/ML development, particularly in Generative AI and AI agents., Strong proficiency in Python, TensorFlow/PyTorch, and Hugging Face Transformers, with knowledge of LLMs and RAG., Experience with Lean/Agile development methodologies and strong analytical skills..

Key responsabilities:

  • Design and implement scalable AI models and algorithms for enterprise systems.
  • Construct robust data pipelines for large-scale datasets to ensure data integrity.
  • Create and manage APIs for seamless interaction between AI models and software components.
  • Continuously refine machine learning models to enhance performance and implement MLOps best practices.

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Human Agency Startup https://www.humanagency.com/
11 - 50 Employees
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Job description

Machine Learning Engineer
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:
  • Deploy AI Solutions: Design and implement scalable AI models and algorithms 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 Development: 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.
  • 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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Problem Solving
  • Analytical Skills

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