AI/ML Engineer

Amnex; Ahmedabad District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Amnex in Ahmedabad, India, is seeking a Machine Learning Engineer to design, train, and deploy ML models across structured and unstructured data. You will work with Python, NumPy, Pandas, and Scikit-learn to build robust models and push them into production.

You will implement AI solutions using TensorFlow or PyTorch, explore Generative AI and LLMs when applicable, and collaborate with cross-functional teams to integrate AI/ML into applications.

Qualifications

• Proficient in Python and data science libraries (NumPy, Pandas, Scikit-learn).
• Hands-on ML algorithms and model development experience.
• Knowledge of Deep Learning frameworks TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, model evaluation, and statistics.

Responsibilities

• Design, develop, train, and deploy ML/AI models.
• Work with structured and unstructured data for preprocessing, feature engineering, and model development.
• Develop and optimize ML algorithms using Python and libraries.
• Implement AI solutions using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Work on Generative AI, 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 code quality and model monitoring practices.

Skills

Python programming

NumPy

Pandas

Scikit-learn

Machine learning

REST APIs

Generative AI

LLMs

Data preprocessing

Feature engineering

Model evaluation

SQL

Communication

Tools

TensorFlow

PyTorch

Job description

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.
• Strong analytical, problem-solving, and communication skills.