Launch Your Career in Artificial Intelligence with Yakbos
Are you passionate about Artificial Intelligence, Machine Learning, and Generative AI?
Yakbos is looking for a motivated and innovative Graduate AI/ML Engineer to join our growing AI team. This is an excellent opportunity for recent graduates and early-career professionals to work on cutting-edge AI solutions, enterprise automation platforms, and next-generation digital transformation initiatives.
As a Graduate AI/ML Engineer, you will collaborate with product managers, data engineers, software developers, and business stakeholders to design, develop, and deploy AI-powered applications that solve real-world business challenges.
Location: Hybrid / Remote
Experience: 0–2 Years
Employment Type: Full-Time
About Yakbos
Yakbos is an AI-first consulting and technology company helping organizations accelerate growth through:
- Artificial Intelligence and Generative AI
- Product Management and Digital Transformation
- Procurement and Supply Chain Innovation
- Enterprise Automation
- Business Advisory and Technology Solutions
We build scalable, practical, and intelligent solutions that deliver measurable business outcomes.
Role Overview
As a Graduate AI/ML Engineer, you will support the development of machine learning models, Generative AI applications, and intelligent automation solutions.
You will work across the AI lifecycle—from data preparation and model experimentation to deployment, monitoring, and continuous improvement.
This role is ideal for candidates who enjoy problem-solving, coding, experimentation, and learning emerging AI technologies.
Key Responsibilities
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Build, train, evaluate, and optimize machine learning models.
- Develop and integrate Generative AI and Large Language Model (LLM) applications.
- Support the creation of Retrieval-Augmented Generation (RAG) pipelines and AI agents.
- Design prompts and workflows for AI-powered applications.
- Collaborate with product, engineering, and business teams to understand requirements.
- Conduct experiments to improve model accuracy and performance.
- Deploy AI models and monitor performance in production environments.
- Document datasets, experiments, model results, and technical processes.
- Stay updated with advancements in AI, machine learning, and data science.
What You Will Work On
You will gain hands-on experience building:
- Generative AI applications
- Large Language Model (LLM) solutions
- AI agents and workflow automation systems
- Enterprise chatbots and virtual assistants
- Intelligent procurement platforms
- Predictive analytics models
- Recommendation engines
- NLP and computer vision applications
- Data pipelines and model monitoring frameworks
Required Skills and Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, Mathematics, or a related field.
- 0–2 years of experience in AI, machine learning, data science, or software development, including internships and academic projects.
- Strong programming skills in Python.
- Good understanding of machine learning algorithms and data structures.
- Knowledge of statistics, probability, and data analysis techniques.
- Experience with SQL and database concepts.
- Familiarity with data preprocessing, feature engineering, and model evaluation.
- Understanding of software development fundamentals and Git workflows.
- Strong analytical thinking and problem-solving abilities.
- Excellent communication and collaboration skills.
Preferred Skills
Experience with any of the following will be an added advantage:
- TensorFlow, PyTorch, or Scikit-learn
- OpenAI APIs, Anthropic Claude, or Google Gemini
- LangChain, LlamaIndex, or similar AI orchestration frameworks
- Vector databases such as Pinecone, Weaviate, Chroma, or FAISS
- RAG architectures and prompt engineering
- FastAPI, Flask, or Node.js
- Docker and containerization
- AWS, Microsoft Azure, or Google Cloud Platform
- MLOps tools such as MLflow, Kubeflow, or SageMaker
- Power BI, Tableau, or data visualization tools
- NLP, computer vision, or deep learning frameworks
Tech Stack
Depending on project requirements, you may work with:
- Python
- TensorFlow and PyTorch
- Scikit-learn
- OpenAI APIs and Generative AI platforms
- LangChain and LlamaIndex
- FastAPI and Flask
- SQL and NoSQL databases
- Vector databases
- Docker and Kubernetes
- Git and GitHub
- AWS, Azure, and Google Cloud
Who Should Apply?
- Recent graduates with a strong interest in AI and machine learning.
- Students with internship experience in data science or software development.
- Developers looking to transition into AI engineering.
- Candidates with AI projects, research work, hackathon experience, or open-source contributions.
- Individuals passionate about Generative AI and emerging technologies.
What We Offer
- Opportunity to work on cutting-edge AI and enterprise solutions.
- Hands-on exposure to Generative AI and LLM technologies.
- Mentorship from experienced AI, product, and technology leaders.
- Flexible hybrid and remote work environment.
- Access to learning resources, certifications, and training programs.
- Collaborative and innovation-driven culture.
- Fast-track career growth opportunities.
Application Process
Interested candidates can share their updated resume, GitHub profile, portfolio, and project links with:
Email: careers@yakbos.com
For HR-related queries, contact:
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Equal Opportunity Employer
Yakbos is committed to building a diverse and inclusive workplace where innovation thrives. We welcome applications from candidates of all backgrounds, experiences, and perspectives.