AI ML Architect

1. AI/ML Expertise: 6 to 8 years of experience in applied machine learning focused on real-world datasets, especially customer and transactional data. 2. ML Tools & Frameworks: Proficient in Python, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow. 3. Working knowledge of LLM APIs (e.g., OpenAI, Hugging Face Transformers). 4. Experience with embedding models (e.g., BERT, Sentence Transformers) and vector search tools (FAISS, Pinecone, Weaviate). 5. Prompt engineering and few-shot learning strategies for enterprise augmentation use cases. 6. Data Pipelines: Experience with SQL, MongoDB, Elastic/SOLR, and data wrangling using pandas, Dask, or Spark. 7. MLOps & Deployment: Familiarity with ML flow, Airflow, Docker, and Git-based workflows Salary Range: $110,000 - $200,000 a year #LI-CM2