B

AI/ML Engineer

brainhackathon • Ethiopia
Remote
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AI Summary

As an AI/ML Engineer at BrainHackathon, you will develop and deploy AI-powered MVPs rapidly, integrating large language models and generative AI frameworks into scalable solutions. Your role involves building APIs, automating workflows, and implementing MLOps best practices to ensure production-ready models. You must have strong Python experience, cloud platform knowledge, and a collaborative mindset to drive real business impact.

Key Highlights
Build and deploy AI/ML models quickly for MVPs
Integrate LLMs and generative AI frameworks
Implement MLOps for scalable production systems
Collaborate with AI Strategists and Solutions Architects
Key Responsibilities
Develop, prototype, and deploy AI/ML models rapidly
Integrate large language models (LLMs) and generative AI frameworks into solutions
Build APIs, automate workflows, and connect systems for end-to-end AI applications
Collaborate closely with AI Strategists and AI Solutions Architects
Implement MLOps best practices to ensure models are scalable, maintainable, and production-ready
Experiment with new AI tools and frameworks to continuously improve solutions
Troubleshoot, optimize, and maintain AI systems
Technical Skills Required
Python MLOps Cloud platforms (GCP, AWS, Azure) API development
Benefits & Perks
Remote work
Flexible schedules
Self-management
Nice to Have
Mastery of end-to-end AI solution development
Hands-on experience with production-scale ML pipelines
Knowledge of AI ethics, data privacy, and responsible AI practices
Familiarity with Agile methodologies and iterative prototyping
Experience with experimental AI tools and continuous model improvement
Demonstrated ability to turn AI concepts into real business impact
Passion for emerging AI technologies and commitment to staying current with industry trends

Job Description


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AI/ML Engineer

Remote (Work from anywhere)

About BrainHackathon

‍

BrainHackathon is an AI Transformation Partner helping organizations move from AI curiosity to AI capability — fast. We partner with ambitious teams to go from understanding to action in weeks, co-creating AI-powered solutions that transform how businesses grow. We are a Teal-inspired, purpose-driven organization — self-managed, collaborative, and built on trust, teamwork, and continuous innovation.

‍

Your Mission

‍

As an AI/ML Engineer, you will bring ideas to life by building and deploying AI-powered MVPs quickly and iteratively. You’ll work at the intersection of strategy, design, and technology to create practical AI solutions that drive real business impact.

‍

What You’ll Do

‍

  • Develop, prototype, and deploy AI/ML models rapidly.
  • Integrate large language models (LLMs) and other generative AI frameworks into solutions.
  • Build APIs, automate workflows, and connect systems for end-to-end AI applications.
  • Collaborate closely with AI Strategists and AI Solutions Architects.
  • Implement MLOps best practices to ensure models are scalable, maintainable, and production-ready.
  • Experiment with new AI tools and frameworks to continuously improve solutions.
  • Troubleshoot, optimize, and maintain AI systems.

What You’ll Bring

‍

  • Strong experience in AI/ML development and deployment.
  • Hands-on expertise with generative AI frameworks and LLMs.
  • Familiarity with MLOps, cloud platforms (GCP, AWS, Azure), and API development.
  • Agile mindset and ability to iterate quickly on prototypes.
  • Strong problem-solving skills and technical curiosity.
  • Collaborative spirit and comfort working in cross-functional teams.
  • Passion for turning innovative AI ideas into tangible business solutions.

‍

Minimum Qualifications

‍

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 3+ years of experience in machine learning engineering, or 2+ years with a strong record of applied AI projects and prototyping.
  • Practical experience with Python and AI/ML libraries (TensorFlow, PyTorch, JAX, or similar).
  • Familiarity with large language models (LLMs) and generative AI frameworks.
  • Experience with API development and integrating ML solutions into applications.
  • Understanding of MLOps principles and deployment on cloud platforms (GCP, AWS, Azure).
  • Excellent written and verbal communication skills in English.

‍

Preferred Qualifications

‍

  • Mastery of end-to-end AI solution development, including prototyping, deployment, and optimization.
  • Hands-on experience with production-scale ML pipelines and workflow automation.
  • Knowledge of AI ethics, data privacy, and responsible AI practices.
  • Familiarity with Agile methodologies and iterative prototyping in fast-paced environments.
  • Experience with experimental AI tools and continuous model improvement.
  • Demonstrated ability to turn AI concepts into real business impact.
  • Passion for emerging AI technologies and commitment to staying current with industry trends.

‍

Why Join Us

‍

  • Purpose-driven culture: A Teal organization built on trust, values, teamwork, and shared ownership.
  • Collaborative team: Work side by side with strategists, architects, and designers on impactful projects.
  • Innovation at the core: Build cutting-edge AI solutions that transform businesses.
  • Flexibility: Full self-management, flexible schedules, and remote-first.
  • Growth without limits: Learn fast, take ownership, and shape the future of AI.

‍

‍

Apply today

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Let's talk — just book a call or email us to get started

Let's explore how BrainHackathon can support your AI journey — from strategy to MVP and beyond.

[email protected]

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Munich

  • Amsterdam
  • Limassol

[email protected]

Book your call here

Munich

  • Amsterdam
  • Limassol

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