Machine Learning Engineer

Develop GenAI systems using LangChain , Hugging Face , Ollama , and OpenAI , incorporating both open-source and proprietary LLMs.

Train and fine-tune models for Text Recognition and Text Generation using Keras , TensorFlow , Hugging Face Transformers , and Scikit-learn .

Write scalable and efficient Python scripts for data preprocessing and analysis using Pandas , NumPy , SciPy , and Scikit-learn .

Optimize ML/DL models in collaboration with data scientists for faster inference and improved prediction accuracy.

Develop inference endpoints for ML models using FastAPI , Flask , and LangSmith .

Integrate data streaming services and Apache Data Lakes with ML inference pipelines.

Deploy ML pipelines to production using Azure AI Studio .

Build and support AI-driven web applications using Python frameworks like Flask and Django .

Collaborate in an agile, cross-functional team to design innovative AI solutions in the communication industry.

Excellent problem-solving skills and teamwork mindset.