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hirist

Artificial Intelligence/Machine Learning Engineer

DeepStack Software
Hyderabad
2 - 5 Years

Posted on: 08/12/2025

Job Description

Description :

We are looking for a hands-on AI/ML Engineer with strong skills in Python, traditional machine learning, and backend-oriented model development. The ideal candidate should be comfortable with prompt engineering, building scalable ML systems, and integrating models into production environments.

Responsibilities :

- Design, develop, and deploy AI/ML models using Python.


- Build traditional ML pipelines, including data preprocessing, feature engineering, model training, and evaluation.

- Create and fine-tune models using structured and unstructured data.

- Work on prompt engineering for LLM-based use cases and enhance model performance.

- Collaborate with backend teams to integrate ML models into applications and APIs.

- Optimize systems for scalability, performance, and reliability.

- Write clean, reusable, and production-grade code in Python (and occasionally PHP).

- Conduct experiments, model validation, and continuous performance improvements.

- Work closely with data teams to ensure robust data modeling and data quality.

- Document approaches, workflows, and technical designs.

Requirements :

- 2-5 years of hands-on experience in AI/ML development.


- Strong proficiency in Python with experience in ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow/PyTorch optional).

- Solid understanding of traditional machine learning techniques such as regression,

classification, clustering, and feature engineering.

- Experience in building ML models from scratch using available datasets.

- Good knowledge of prompt engineering and working with LLMs is preferred.

- Knowledge of PHP (basic to intermediate) will be useful for certain integration tasks.

- Understanding of data modeling, data pipelines, and data preprocessing.

- Strong backend engineering mindset, ability to work with APIs, microservices, and production

code.

- Experience in scaling ML systems, optimizing performance, and working with large datasets.


The job is for:

Women candidates preferred
Differently-abled candidates preferred
May work from home
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