Job Title / Designation: AI & Data Scientist (Agentic AI / ML Engineer) Intern

Number of Vacancies: 1

Functional Area: AI & Data Science / Machine Learning / Software Engineering

Industry: IT

Location of Job: Nairobi, Kenya

Salary Offered: Negotiable

Qualification: Bachelor’s degree in Computer Science, Data Science, AI, Statistics, Engineering, or related field (exceptional final-year students considered)

Contact Person: HR Manager: careerkenya@sybyl.com

Role Overview. 

We are seeking a hands-on AI & Data Scientist to design, develop, and deploy intelligent AI solutions across enterprise systems. The role focuses on Agentic AI, LLM fine-tuning, RAG systems, feature engineering, AutoML, and scalable data pipelines — particularly within regulated industries such as Banking and Financial Services (BFSI). Practical experience and proven skills are more important than academic qualifications.

Responsibilities 

  •  Design and deploy AI agents for business process automation.

  • Build multi-agent systems and orchestration frameworks.

  • Fine-tune open-source LLMs (e.g., Mistral, Qwen, LLaMA)

  • Develop Retrieval-Augmented Generation (RAG) systems using vector databases.

  • Implement prompt engineering and production-grade AI pipelines.

  • Perform data preprocessing, EDA, and statistical analysis.

  • Develop predictive ML models and optimize features.

  • Define evaluation metrics and ensure model performance.

  • Implement explainability and compliance-ready documentation.

  • Deploy models as APIs with real-time scoring.

  • Build auditable feature pipelines with data lineage tracking.

  • Develop reusable, governed feature sets for production.

  • Integrate with banking systems, credit bureaus, LOS, LMS.

  • Implement data quality validation frameworks.

  • Build ETL/ELT pipelines using PySpark and distributed systems.

  • Work with SQL/NoSQL databases.

  • Implement CI/CD pipelines for ML deployment.

  • Monitor, version, and maintain production models.

  • Work closely with AI, BI, RPA, and business teams.

  • Document experiments, models, and technical solutions.

  • Present insights and recommendations to stakeholders.

Required Skills & Experience.

  • Strong Python proficiency (pandas, NumPy, scikit-learn)

  • Experience with PySpark and SQL

  • Hands-on experience with LLM fine-tuning, RAG systems, and vector databases

  • Solid understanding of ML algorithms, feature engineering, and data governance

  • Experience with Git and Jupyter environments

Candidate Profile

  • Experience with Agentic AI and multi-agent systems

  • AutoML, MLOps, and Explainable AI (XAI) knowledge

  • Experience in BFSI domain (banking, credit bureaus, financial systems)

  • Cloud experience (AWS, GCP, Azure)

  • Portfolio of AI/ML projects or open-source contributions

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