AI Engineer

Impact Makers, Inc.; Hyderabad; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Impact Makers in Hyderabad is seeking an experienced AI/ML Engineer to lead hands-on development in data pipelines, model deployment, and production support. You will work with Python, ETL workflows, and cloud platforms to build scalable solutions.

The role requires 4+ years in AI/ML or data engineering, strong SQL, and experience with TensorFlow/PyTorch and ML tooling. You will collaborate with data teams to translate business needs into robust data-driven features.

Qualifications

• 4+ years of hands-on experience in AI Engineering, Machine Learning, or Data Engineering.
• Strong Python programming skills including OOP, API development, automation, and data processing.
• Strong experience in Data Engineering, data modeling, ETL/ELT processes, and large-scale data pipelines.
• Hands-on experience with ETL tools and data workflows.
• Strong SQL skills and experience with relational and cloud data platforms.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Experience working with LLMs and prompt engineering.
• Familiarity with Lang Chain, Llama Index, and Hugging Face.
• Experience with Azure, AWS, or GCP.
• Experience with Databricks, PySpark, and distributed data processing frameworks.
• Experience with MLflow, Kubeflow, and Airflow.
• Strong experience in API development, model deployment, and production support.
• B2-level English proficiency or higher.

Skills

AI Engineering

Machine Learning

Data Engineering

Python programming

ETL/ELT

Data processing

Data modeling

SQL

API development

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

Llama Index

Hugging Face

Azure

AWS

GCP

Databricks

PySpark

MLflow

Kubeflow

Airflow

Job description

• 4+ years of hands-on experience in AI Engineering, Machine Learning, or Data Engineering.
• Strong Python programming skills including OOP, API development, automation, and data processing.
• Strong experience in Data Engineering, data modeling, ETL/ELT processes, and large-scale data pipelines.
• Hands-on experience with ETL tools and data workflows.
• Strong SQL skills and experience with relational and cloud data platforms.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Experience working with LLMs and prompt engineering.
• Familiarity with Lang Chain, Llama Index, and Hugging Face.
• Experience with Azure, AWS, or GCP.
• Experience with Databricks, PySpark, and distributed data processing frameworks.
• Experience with MLflow, Kubeflow, and Airflow.
• Strong experience in API development, model deployment, and production support.
• B2-level English proficiency or higher.