Senior Machine Learning Engineer

About Us:

At Amini, we’re reimagining AI for the Global South. By combining sovereign data, local 
infrastructure, and cutting-edge AI, we’re helping 4 billion people connect to the digital 
economy and unlock new opportunities for growth. Join us in shaping the world’s most 
inclusive AI revolution.

Our core values of Collaboration, Innovation, Trust, Integrity, Humility, and Passion are at the 
heart of everything we do.

Our team embodies inclusivity, diversity, agility, and dynamism. Comprising highly skilled 
experts, we recognize the transformational nature of our work while remaining humble, ego

free, and non-hierarchical. We believe in fully utilizing our skills and experiences, sharing ideas, 
and making a collective impact to drive change and positively influence the AI industry and 
billions of lives. 

About the Role

We are seeking a Senior Machine Learning Engineer who thrives at the intersection of 
engineering, applied AI, and client collaboration. You will work directly with partner 
organizations to understand their needs, design end-to-end ML systems, and deploy 
production-ready solutions that drive measurable impact.

This is a hands-on role with high autonomy, requiring both deep technical expertise and the 
ability to engage with non-technical stakeholders. You’ll act as the bridge between client 
problems and technical solutions, ensuring our AI products deliver real-world outcomes.

Responsibilities

• AI Systems Development
   Build and deploy AI automation products, including knowledge graphs, RAG 
   pipelines, and intelligent agents.
   Ensure solutions are scalable, interpretable, and production-grade.
• Data & Retrieval Infrastructure
   Design pipelines for data ingestion, pre-processing, and transformation.
   Implement entity extraction, linking, and ontology design for knowledge 
   management systems.
• Forward-Deployed Delivery
   Partner closely with stakeholders to understand requirements and shape AI 
   strategy.
   Translate business objectives into technical design and working systems.

   Deliver demos, gather feedback, and iterate quickly.
• Engineering Excellence
   Build robust ML pipelines (ETL- training - deployment - monitoring).
   Apply best practices in MLOps: CI/CD, retraining workflows, monitoring, and 
   evaluation.
   Ensure system reliability, scalability, and maintainability.
• Collaboration & Impact
   Work cross-functionally with product managers, researchers, and platform 
   engineers.
   Share field insights to influence Amini’s product roadmap.
   Contribute to technical excellence through mentoring, code reviews, and 
   knowledge sharing.

Technical Skills and Knowledge

• 7+ years of experience in ML engineering or applied AI delivery.
• Strong expertise in:
   LLMs & NLP (transformers, prompt engineering, fine-tuning).
   Retrieval Systems & Vector Databases (FAISS, Weaviate, Pinecone, Milvus).
   Knowledge Graphs (Neo4j, RDF/SPARQL, graph ML, ontology design).
• Solid engineering background with proficiency in Python and ML frameworks (PyTorch, 
   TensorFlow).
• Experience building and deploying ML systems on cloud (GCP, AWS, Azure) or hybrid 
   setups.
• Strong fundamentals in data structures, distributed systems, and software design.
• Proficiency with Linux, Git, Docker/Kubernetes, and CI/CD workflows.
• Excellent communication skills and ability to work with both technical and non-technical audiences.
• Adaptability and drive to thrive in dynamic, forward-deployed environments.
   Bonus
• Experience with agent-based systems and RAG pipelines.
• Contributions to open-source ML tools or research publications.
• Experience presenting technical work to external audiences.

If you're a collaborative, resourceful professional looking to work alongside exceptional 
individuals, we invite you to apply and join us in shaping the future of AI