Machine Learning/AI Engineer at Sproxil

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