Applied AI/ML Engineer

📋 Description

• Design, build, and deploy ML features in production systems
• Apply supervised, unsupervised, and deep learning to data
• Build and evaluate models for classification, ranking, NLP, or anomalies
• Develop GenAI solutions (LLMs, retrieval-augmented generation, agents)
• Translate business and user needs into ML problems, metrics, and experiments
• Implement data pipelines and feature engineering for training/inference

🎯 Requirements

• Strong ML foundation: model selection, training, validation, evaluation
• Experience building and deploying ML models in real-world apps
• Proficiency in Python and ML libraries: PyTorch, TensorFlow, scikit-learn
• Experience with LLMs, embeddings, and prompt-driven systems
• Familiarity with Pandas, SQL, Spark, or similar
• Understanding of software engineering best practices (version control, testing, code reviews)

🎁 Benefits

• Fully remote
• Annual stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays