Artificial Intelligence & Data Analytics

Predictive analytics, Generative AI, data engineering, and decision support — we build intelligent systems that turn data into dependable action for mission-critical outcomes.

Predictive Analytics

Forecast trends, detect anomalies, and convert historical signals into prescriptive actions using robust ML pipelines.

  • Time series forecasting & anomaly detection
  • Model evaluation, explainability & monitoring
  • Production-ready pipelines and automation
Tech: Python, scikit-learn, Prophet, PyTorch, TensorFlow, MLflow, Airflow

Generative AI

Build responsible LLM-driven assistants, content generators, and tooling that augment analyst productivity and automate workflows.

  • Prompt design, retrieval-augmented generation (RAG)
  • Fine-tuning, safety filters, and cost-optimised serving
  • Human-in-the-loop evaluation and iterative improvement
Tech: Hugging Face, OpenAI APIs, LangChain, Pinecone/Weaviate, Docker, Kubernetes

Data Engineering & Decision Support

Scale data ingestion, governance, and BI so stakeholders receive reliable insights and trusted dashboards for fast decisions.

  • Streaming & batch ETL, data quality, and lineage
  • Feature stores, model deployment, monitoring
  • Dashboards, KPI modeling, and decision automation
Tech: Spark, Kafka, Airflow, Snowflake/BigQuery, dbt, Looker/PowerBI

Hiring for AI Roles

We're hiring Data Scientists, ML Engineers, Prompt Engineers, Data Engineers, and Product Analysts who care about production reliability, ethics, and measurable impact.

  • Example roles: Data Scientist, ML Engineer, Data Engineer, Applied Researcher
  • What we value: clear thinking, reproducible code, collaboration, and deploying safe models.
  • Preferred: experience with cloud ML infra, CI/CD for models, and working with stakeholders to define KPIs.

Join Our Talent Pool

Be part of something mission-driven. Submit your resume and we’ll reach out when your skills align with upcoming opportunities.