Applied AI/ML Engineer

📋 Description

• Design, build, and deploy machine learning and AI-powered features into production systems
• Apply supervised, unsupervised, and deep learning to structured and unstructured data
• Develop and integrate GenAI solutions (LLMs, retrieval-augmented generation, agents)
• Translate business needs into ML problem statements, metrics, and experiments
• Implement data pipelines and feature engineering for training and inference
• Collaborate with software engineers to integrate models into APIs and apps

🎯 Requirements

• Strong foundation in ML concepts: model selection, training, validation, evaluation
• Experience building and deploying ML models in real-world apps
• Python proficiency with ML libraries (PyTorch, TensorFlow, scikit-learn)
• Experience with large language models, embeddings, and prompt-driven systems
• Familiarity with data tools (Pandas, SQL, Spark)
• 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