Posted:3 weeks ago|
Platform:
On-site
Full Time
🔹 Design, train & evaluate ML models: classification, anomaly detection, forecasting, NLP
🔹 Build advanced DL architectures: RNN, GRU, LSTM, Transformers (BERT, T5, GPT)
🔹 Optimize models — quantization, low-latency inference
🔹 Fine-tune LLMs using SFT, LoRA, QLoRA (optional)
🔹 Define evaluation metrics; monitor drift & retraining
🔹 Collaborate with engineering/DevOps for CI/CD & deployment
🔹 Write clean, reproducible, well-documented code
✅ 4–5+ yrs hands-on in ML/Data Science
✅ Strong Python, scikit-learn, pandas, PyTorch, TensorFlow
✅ Deep experience in NLP & Transformer models
✅ Knowledge of Generative AI tools (LangChain, LlamaIndex)
✅ Model quantization (INT8/dynamic/static)
✅ Experience with vector DBs: FAISS, Pinecone, Azure AI Search
✅ ML deployment, monitoring & performance tuning
✅ Familiarity with Docker, MLflow, CI/CD
⭐ LLM fine-tuning (SFT, LoRA, QLoRA)
⭐ Exposure to MLOps: SageMaker, Vertex AI, Kubeflow
⭐ Experience with Spark, Airflow
⭐ Contributions to research, open-source, ML/NLP blogs
🔥 Don’t miss the chance to join a cutting-edge AI team!
Reveille Technologies,Inc
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