AI ML Engineer

Role OverviewWe are looking for an AI/ML Engineer with strong Python and scripting expertise to design, build, and deploy intelligent systems. This role involves working across machine learning pipelines, large language models (LLMs), data processing workflows, and production AI systems.Key ResponsibilitiesBuild GenAI applications using LLMs and transformer-based architecturesDesign and implement data preprocessing and feature engineering pipelinesFine-tune and evaluate models using real-world datasetsDevelop APIs and backend integrations for AI servicesWrite automation scripts for experimentation and pipeline orchestrationOptimize models for performance, scalability, and costMonitor model performance and maintain production systemsRequired SkillsStrong proficiency in PythonExperience with ML frameworks (PyTorch, TensorFlow, or similar)Experience working with LLMs and transformer architecturesSolid understanding of ML fundamentals (supervised, unsupervised, evaluation metrics)Experience building data pipelines for training and inferenceExperience with scripting and automationFamiliarity with REST APIs and backend integrationPreferred QualificationsExperience with fine-tuning LLMs or building RAG systemsExperience with distributed training or large-scale model deploymentExperience with cloud platforms (AWS / GCP / Azure)Familiarity with vector databases and embedding pipelinesKnowledge of MLOps practices and CI/CD for MLExperience with experimentation tracking tools

Created: 2026-03-10