Job Summary:

We are seeking a skilled Python Developer with hands-on experience in developing and deploying machine learning models, especially in time series forecasting (ARIMA, SARIMA) and Natural Language Processing (NLP). The ideal candidate should have experience working with Hugging Face Transformers, LLMs, and deploying ML applications into production environments.

Key Responsibilities:

• Develop, train, and optimize time series forecasting models such as ARIMA, SARIMA for predictive analytics.
• Design and implement NLP models for tasks like text classification, sentiment analysis, and topic modeling using Hugging Face ecosystem.
• Fine-tune and integrate Large Language Models (LLMs) for specific downstream tasks.
• Build scalable and robust Python-based applications and deploy them in live production environments.
• Collaborate with cross-functional teams (Data Scientists, MLOps, Backend Engineers) to deliver high-impact ML solutions.

Required Skills:

• Strong proficiency in Python and related libraries: pandas, numpy, scikit-learn, statsmodels, etc.
• Proven experience with time series forecasting models – ARIMA, SARIMA.
• Experience with NLP models, especially using Hugging Face Transformers (e.g., BERT, RoBERTa, DistilBERT).
• Experience deploying ML models via APIs using Flask, FastAPI, or similar frameworks.
• Hands-on experience with LLMs (e.g., GPT-based models, LLaMA, Falcon) for custom applications.