ML/AI Engineer

With operations in Africa, USA, UK,India and UAE, Techno Brain is the first indigenous African company to be assessed at CMMI Level-5, achieving highest quality standards for software development. Currently operating in 21+ countries, creating 1200 high tech jobs in the continent, Techno Brain has achieved leadership positions in areas such as Public Financial Management, Digital Identity Management, Tax & Customs, IT Training, Business Process Outsourcing, host of e-Government solutions and Digital products.

The Role

We are seeking a skilled ML/AI Engineer to join our growing team. You will design, build and deploy machine learning systems that deliver real value to our clients. This is a hands on role requiring both technical depth and the ability to understand business problems. You will work embedded with client teams, translating requirements into production grade solutions.

Requirements

What You Will Do

• Design and implement machine learning pipelines for classification, NLP and computer vision use cases
• Build conversational AI systems using LangChain, LangGraph and large language model APIs
• Develop RAG pipelines for document processing and knowledge retrieval
• Deploy models to production environments with proper monitoring and observability
• Collaborate with cross functional teams to define requirements and success metrics
• Conduct experiments, A/B tests and model evaluations to validate hypotheses
• Write clean, tested and well documented code
• Mentor junior engineers and contribute to technical best practices

What You Bring

• 3+ years of experience in machine learning or data science roles
• Strong Python skills with experience in scikit-learn, PyTorch or TensorFlow
• Hands on experience with LangChain and LangGraph (required)
• Experience deploying ML models to production environments
• Solid understanding of NLP concepts including embeddings, transformers and retrieval
• Familiarity with MLOps practices: versioning, monitoring, CI/CD for ML
• Experience with vector databases such as Pinecone, Weaviate or ChromaDB
• BSc/MSc in Computer Science, Data Science, Mathematics or related field

Nice to Have

• Contributions to open source ML projects

• Design and implement machine learning pipelines for classification, NLP and computer vision use cases
• Build conversational AI systems using LangChain, LangGraph and large language model APIs
• Develop RAG pipelines for document processing and knowledge retrieval
• Deploy models to production environments with proper monitoring and observability
• Collaborate with cross functional teams to define requirements and success metrics
• Conduct experiments, A/B tests and model evaluations to validate hypotheses
• Write clean, tested and well documented code
• Mentor junior engineers and contribute to technical best practices

• Python
• scikit-learn
• PyTorch
• TensorFlow
• LangChain
• LangGraph
• NLP
• MLOps
• Vector Databases (Pinecone, Weaviate, ChromaDB)

• BSc/MSc in Computer Science, Data Science, Mathematics or related field
• Contributions to open source ML projects (Nice to Have)