Description

You will lead machine learning implementations and oversee technical workflows involving both software and hardware components.

Responsibilities

• Implement machine learning algorithms including Decision Trees, Random Forest, and XGBoost.
• Develop Python REST APIs using Flask or FastAPI.
• Perform mechanical teardown, re-assembly, and soldering on consumer electronics.
• Manage equipment calibration schedules and coordinate with third-party partners.
• Execute structured data modelling, statistical techniques, and EDA.

Required Skills

• 7+ years of experience in Machine Learning implementations.
• Proficiency in Python and REST API development.
• Experience with ML frameworks such as Scikit-learn, PyTorch, TensorFlow, or Keras.
• Knowledge of LLM concepts including RAG, Prompting, Few-Shot Prompting, and SFT.
• Understanding of MLOps architectures and components.
• Experience with Git, CI/CD, Docker, and Kubernetes.
• Competency in AWS or GCP environments.
• Ability to perform hardware rework and mechanical assembly.

Preferred Skills

• Experience with structured data modelling and statistical analysis.

Key Skills

Education

Any Gradute