AI Research Engineer

About Magure

At Magure, we’re not just building products — we’re reimagining what’s possible through technology. With a culture rooted in innovation, ownership, and impact, we’re on a journey to transform industries with AI at the core. We believe that great things happen when curious minds come together — and right now, we’re looking for an AI Research Engineer who’s ready to be a part of something amazing.

Why this role matters

AI is no longer a "nice-to-have" — it’s central to how we think about the future. That’s why this position isn’t just about code; it’s about creating intelligent systems that drive change, unlocking insights from data, and empowering decision-making at scale.

We’re looking for someone who isn’t afraid to question the norm, build from scratch, and bring AI ideas to life in the real world.

What you'll be doing

Research & Innovation

• Dive deep into ML/AI research, stay updated on trends, and experiment with new ideas
• Develop scalable machine learning models tailored to business problems
• Build prototypes and validate hypotheses quickly

Data & Engineering

• Work with large, messy datasets: clean, structure, and prepare them for training
• Build reusable data pipelines and automation scripts
• Ensure high-quality data inputs for every model

Model Deployment & MLOps

• Deploy models using tools like Docker, Kubernetes, MLFlow, or cloud-native solutions
• Monitor model performance in production and optimize for continuous improvement
• Integrate models into existing systems or products

Collaboration & Communication

• Work closely with product, engineering, and leadership teams
• Translate complex technical concepts into business-friendly language
• Own documentation and knowledge sharing within the team

Must-Have Skills

• Programming:

  Proficiency in Python, and libraries like NumPy, Pandas, Scikit-learn

• Frameworks:

  Hands-on with TensorFlow or PyTorch

• Data Handling:

  Strong skills in data cleaning, preprocessing, and wrangling

• Modelling:

  Experience with supervised, unsupervised, and deep learning models

• MLOps:

  Familiarity with model versioning, deployment, monitoring

• Cloud Platforms:

  Experience with AWS / Azure / GCP

• Math & Stats:

  Strong foundation in probability, statistics, and linear algebra

• Communication:

  Ability to convey complex ideas clearly and concisely

• Ownership:

  Self-starter with the ability to take initiative and lead AI efforts independently

Nice to Have

• Experience working in NLP, computer vision, or generative models
• Knowledge of distributed training techniques
• Experience integrating models with frontend/backend systems

What You'll Get at Magure

• Work with a passionate and forward-thinking team
• Opportunity to lead AI projects from zero to production
• Freedom to explore and experiment with new technologies
• Exposure to global clients and diverse problem statements
• Transparent and supportive company culture
• Continuous learning, mentorship, and real career growth

Ready to be a part of something bigger?

We’re building the future — and we want someone who’s ready to help define it.

📩 Apply now to careers@magureinc.com

or drop a message if you'd like to know more before applying.