Description

You will design, develop, and deploy scalable machine learning and AI solutions.

Responsibilities

• Design and develop scalable machine learning and AI solutions using large datasets.
• Implement and deploy advanced ML models, including deep learning and LLMs, into production.
• Manage the full lifecycle of ML solutions on cloud platforms.
• Perform data preprocessing, feature engineering, model training, and evaluation on large-scale datasets.

Required Skills

• 5+ years of hands-on experience in machine learning or AI engineering with production deployment success.
• Expert proficiency in Python programming.
• Demonstrated expertise with deep learning frameworks like TensorFlow and PyTorch.
• Practical experience working with LLMs and NLP technologies.
• Experience developing and deploying ML solutions on cloud platforms (AWS, Google Cloud, Azure).
• Proficiency with ML libraries including Scikit-learn, Keras, and Hugging Face.
• Experience with ML workflow tools like MLflow and Airflow.

Key Skills

Education

Any Graduate