Job Description

We are expanding our AI division and seeking a

Python Developer

with hands-on experience in

machine learning, deep learning, and data-driven applications

. The ideal candidate will be responsible for designing, developing, and deploying intelligent systems that drive real business outcomes.

Key Responsibilities

Develop, test, and deploy

AI/ML models

and

data processing pipelines

using Python. Work on

end-to-end AI solutions

, including data collection, model training, evaluation, and optimization. Collaborate with cross-functional teams (data engineers, software developers, and business analysts) to integrate AI models into real-world applications. Implement algorithms for

natural language processing (NLP)

,

computer vision

, or

predictive analytics

, depending on project requirements. Develop APIs or microservices to expose AI functionalities to web and mobile applications. Analyze datasets, preprocess data, and perform feature engineering. Maintain well-documented, scalable, and reusable code. Stay up to date with emerging trends in AI, ML frameworks, and Python libraries.

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

2-5 years

of professional experience in

Python programming

and

AI/ML model development

. Strong experience with

Python frameworks

such as

TensorFlow, PyTorch, scikit-learn, pandas, NumPy

, etc. Experience in

data processing, cleaning, and visualization

. Familiarity with

machine learning model deployment

(Flask, FastAPI, or Django REST frameworks). Strong understanding of

statistics, algorithms, and data structures

. Experience with

version control (Git)

and

collaborative development tools

. Familiarity with

cloud platforms (AWS, Azure, or Google Cloud)

for AI/ML deployment. Excellent analytical, problem-solving, and teamwork skills.

Preferred Skills

Experience with

LLM-based applications

,

Generative AI

, or

AI automation workflows

. Knowledge of

OpenAI, LangChain, Hugging Face, or vector databases

. Exposure to

data engineering tools

like Airflow or Kafka. Experience in

API integration

,

Docker

, and

CI/CD pipelines

. Strong interest in

AI innovation and real-world application design

.
Job Types: Full-time, Part-time, Permanent, Contract