Description

You will design, develop, and deploy machine learning models for production applications.

Responsibilities

• Implement and optimize end-to-end ML pipelines using PySpark and MLflow.
• Process structured and unstructured data using Pandas and NumPy.
• Train and fine-tune models utilizing TensorFlow or PyTorch.
• Apply ML model development and evaluation techniques to solve real-world problems.

Required Skills

• 5+ years of professional experience in ML engineering.
• Strong programming proficiency in Python.
• Expertise with data manipulation libraries including Pandas and NumPy.
• Solid understanding of core machine learning algorithms.
• Proficiency using MLflow for experiment tracking and model lifecycle management.
• Hands-on experience with LLMs, such as OpenAI or Hugging Face Transformers.
• Familiarity with MLOps principles and deployment best practices.
• Experience with PySpark.
• Knowledge of TensorFlow or PyTorch.

Key Skills

Education

Any Graduate