Greetings from GSS HR Solutions !
Role: Data Scientist
Location: Sri Lanka
Duration: Permanent
Setup: Hybrid
Job Specification
Job Title: Data Scientist
Key Responsibilities & Accountabilities
· Design, build and deploy scalable and robust production-ready solutions with large language models (LLMs) for automation and advanced AI applications. Such solutions can be APIs and web-based applications (typically containerised applications), to integrate models into business workflows.
· Implement and manage LLMOps/MLOps workflows to ensure reliable deployment, monitoring, and lifecycle management of large language models. This includes setting up automated pipelines for model versioning, performance tracking, drift detection, and continuous evaluation against business KPIs, while integrating observability tools for real-time health checks and compliance.
· Develop and maintain data pipelines and CI/CD/CT workflows for model training, evaluation, and real-time inference.
· Analyse structured and unstructured data to extract meaningful insights and support strategic decision-making for business
· Collaborate closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to deliver end-to-end solutions.
· Communicate findings and recommendations through clear reports, dashboards, and presentations.
· Work seamlessly with UK-based teams, ensuring clear communication and alignment across time zones.
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Skills & Abilities
Strong programming skills in Python (including best practices for clean, maintainable code); familiarity with web frameworks (e.g., Flask, FastAPI, or Django).
Proficiency in containerisation and orchestration tools
Familiarity with LLM fine-tuning, prompt engineering, agentic frameworks and solution deployment using
modern framework (e.g., LangGraph, LangChain)
Expertise in data processing and transformation using Pandas, NumPy, and SQL (ideally PySpark).
Ability to translate business problems into scalable, production-grade solutions.
Excellent communication and collaboration skills, with the ability to work effectively in an off-shore setting and maintain strong relationships with UK-based teams.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.
Knowledge & Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
3+ years of experience in software engineering, data science, machine learning, or AI engineering.
Hands-on experience in developing and deploying GenAI / LLM applications in production environments, including containerisation and CI/CD pipelines.
Exposure to cloud platforms (ideally Azure and Databricks)
(Bonus) Experience working with large-scale datasets and distributed computing (Spark or similar).
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