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Envoy Ortus

Machine Learning Specialist

Full-time Job
  • Colombo, Sri Lanka
  • Post Date: Wed, 08-Apr-2026 10:11

Job Description

We are looking for a Machine Learning engineer to join our Data Science team developing innovative AI-driven solutions in the field of data and image analysis for retail and restaurant industry. Our perfect candidate possess strong technical proficiency, paired with creativity and intellectual curiosity. This individual will actively participate in the design, implementation, and ongoing enhancement of business intelligence systems that support our customers in real-life industry environments worldwide.  

Requirements:

  • Higher education in IT, mathematics, or engineering. 
  • 2 years of experience in commercial project development with machine learning techniques, including experimentation, production deployment, and maintenance. 
  • 1 year of experience in developing and maintaining production Large Language Models - based systems (Ollama, OpenAI, Google AI).
  • Knowledge of MLOps practices. 
  • Advanced proficiency in Python (Pandas, sklearn, Numpy, Pydantic, LangChain, LangGraph), with experience in Snowflake (Cortex), Langfuse, and SQL/NoSQL databases.
  • Experience with cloud platforms (preferably AWS).
  • Experience using project management tools such as Jira, Confluence, and GitHub. 
  • English language proficiency sufficient for daily communication within an international team. 

Responsibilities:

  • Research, design and develop applications based on LLMs  and VLMs.
  • Optimize processing pipelines (logic, models) for improved speed and accuracy.
  • Monitor and maintain solutions based on AI models, including validation of production results.

Interested candidates can apply online or email your CV to [email protected]

Job Overview

  • Offerd Salary

  • Gender

    Any
  • Career Level

    Any
  • Industry

    IT – Software Jobs
  • Experience

    2 years - 7 years
  • Qualification

    Bachelor's Degree
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Level 06, East Tower World Trade Center Colombo 1 Sri Lanka Tel: +94 11 2 390590  [email protected]

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