Machine Learning/AI Engineer

Sproxil is a global brand protection & consumer engagement solutions provider specialized in the provision of cutting edge advanced technology to combat counterfeiting, product theft and adulteration; as well as providing a platform for consumer engagement.We are looking for a highly motivated Machine Learning / AI Engineer to join our team.

Key Responsibilities

• Collect, clean, and organize data from various internal and external sources
  

• Design and implement machine learning models for classification, regression, recommendation, NLP, computer vision, or other relevant tasks.
  

• Build data pipelines for feature extraction, model training, and evaluation.
  

• Optimize and fine-tune models for accuracy, latency, and scalability.
  

• Collaborate with cross-functional teams to translate business requirements into AI solutions.
  

• Deploy models into production using frameworks like TensorFlow Serving, TorchServe, or cloud-based tools.
  

• Monitor and maintain model performance post-deployment, including retraining and versioning.
  

• Document models, experiments, and workflows clearly and effectively.
  

• Stay updated on the latest research and advancements in AI/ML.
  

Requirements

• Good understanding of prompt engineering
  

• Good understanding of LangChain/LangGraph for the development of intelligent Agentic AI
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
  

• 2 years of experience in machine learning, deep learning, or AI-related roles.
  

• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
  

• Strong understanding of algorithms, statistics, and data structures.
  

• Experience with data preprocessing and feature engineering for structured and unstructured data.
  

• Familiarity with deploying models to production (e.g., using Docker, Flask, FastAPI, or cloud ML services).
  

• Experience with version control (Git) and collaborative development practices
  

Benefits

• Competitive salary and benefits package
  

• Collaborative and supportive work environment with an international team
  

• Flexible work arrangement