Role & responsibilities

- Design, develop, train, and deploy Machine Learning and AI models.
- Work with structured and unstructured data for data preprocessing, feature engineering, and model development.
- Develop and optimize ML algorithms using Python and relevant libraries.
- Implement AI solutions using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Work on Generative AI, Large Language Models (LLMs), and prompt engineering, where applicable.
- Collaborate with cross-functional teams to integrate AI/ML models into applications.
- Evaluate model performance, improve accuracy, and optimize deployment.
- Maintain technical documentation and follow best practices for code quality and model monitoring

Required Skills & Experience

- Strong proficiency in Python and its data science libraries,



including NumPy, Pandas, and Scikit-learn.
- Hands-on experience with Machine Learning algorithms and model development.
- Knowledge of Deep Learning frameworks such as TensorFlow or PyTorch.
- Experience with data preprocessing, feature engineering, model evaluation, and statistical analysis.
- Understanding of SQL and database concepts.
- Familiarity with REST APIs and deploying ML models into production environments.
- Knowledge of Generative AI, LLMs, RAG, and vector databases is an added advantage.
- Solid analytical, problem-solving, and communication skills.

📌 AI/ML Engineer (Ahmedabad)
🏢 Amnex
📍 Ahmedabad