Related skills
sql python pandas tensorflow pytorch📋 Description
- Design, develop, and deploy ML features in production systems
- Apply supervised, unsupervised, and deep learning to structured/unstructured data
- Build and evaluate models for classification, ranking, NLP, or anomaly detection
- Develop GenAI solutions (LLMs, retrieval-augmented generation, agents)
- Translate business needs into ML problems, metrics, and experiments
- Implement data pipelines and feature engineering for training/inference
🎯 Requirements
- Strong foundation in ML concepts: 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 large language models, embeddings, and prompt-driven systems
- Familiarity with data processing 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
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