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Open nowFirst seen 37 hours ago

Data Scientist (Python)

George Bernard Consulting185 open roles

Where
Colombo, Sri Lanka
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Your applicationOpen nowData Scientist (Python)George Bernard Consulting · Colombo, Sri Lanka

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Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 37 hours ago

The posting

  • Design, build, and deploy scalable production-ready solutions using Large Language Models (LLMs) for automation and advanced AI applications.
  • Develop APIs and containerized web-based applications to integrate AI models into business workflows.
  • Implement and manage LLMOps/MLOps pipelines for model deployment, monitoring, and lifecycle management.
  • Set up automated workflows for model versioning, performance tracking, drift detection, and continuous evaluation against business KPIs.
  • Integrate observability tools to enable real-time monitoring, system health checks, and compliance management.
  • Develop and maintain data pipelines and CI/CD/CT workflows for model training, evaluation, and real-time inference.
  • Analyze structured and unstructured data to generate insights and support strategic decision-making.
  • Collaborate with software engineers, product managers, and business stakeholders to deliver end-to-end AI solutions.
  • Communicate analytical findings and recommendations through reports, dashboards, and presentations.
  • Work closely with UK-based teams to ensure smooth collaboration and alignment across time zones.

Required Skills & Abilities

  • Strong programming expertise in Python with focus on clean, maintainable, and scalable code.
  • Familiarity with web frameworks such as Flask, FastAPI, or Django.
  • Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience with LLM fine-tuning, prompt engineering, and agent-based AI frameworks.
  • Hands-on experience with modern GenAI frameworks such as LangGraph or LangChain.
  • Strong expertise in data processing using Pandas, NumPy, and SQL.
  • Experience working with large-scale data processing frameworks such as PySpark.
  • Ability to translate complex business problems into scalable AI-driven solutions.
  • Strong communication and collaboration skills, particularly when working with distributed teams.
  • Ability to work in fast-paced environments while managing multiple projects simultaneously.

Qualifications & Experience

  • Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, or a related field.
  • Minimum 3+ years of experience in software engineering, data science, machine learning, or AI engineering roles.
  • Hands-on experience developing and deploying Generative AI / LLM applications in production environments.
  • Experience implementing containerized deployments and CI/CD pipelines for AI applications.
  • Exposure to cloud platforms such as Microsoft Azure and Databricks.
  • Bonus: Experience working with large-scale datasets and distributed computing frameworks such as Apache Spark.
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