ML Engineer

Design, develop, and deploy machine learning models for real-world applications.

✅ Implement and optimize end-to-end ML pipelines using PySpark and MLflow..

✅ Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries.

✅ Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch

Required Skills & Experience:

✅ Strong programming skills in Python, including libraries like pandas, NumPy, and scikit-learn.

✅ Solid understanding of machine learning algorithms, model development, and evaluation techniques.

✅ Proficient with MLflow for tracking experiments and model lifecycle management.

✅ Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers).

✅ Understanding of MLOps principles and deployment best practices

Job Type: Full-time

Work Location: Remote