Sr Python Developer

Digixvalley Career & Culture; Lahore; On-site; PKR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Digixvalley Career & Culture is seeking a skilled Python Developer with AI/ML expertise in Lahore. You will design, develop, and deploy AI-powered applications, pipelines, and solutions for production environments, emphasizing performance, scalability, and maintainability.

The role involves creating scalable Python services, integrating ML models, and building data pipelines while collaborating in agile ceremonies and staying updated on the latest AI trends.

Qualifications

• Bachelor's or Master's in CS, DS, AI, or related fields.
• 2–3 years of hands-on Python development.
• Strong AI/ML concepts, algorithms, and workflows.
• Experience with ML libraries: TensorFlow, PyTorch, Keras, scikit-learn.
• Proficient with Pandas and NumPy for data manipulation.
• Experience deploying AI models to production.
• Familiarity with API development using Flask or FastAPI.
• SQL and NoSQL databases knowledge.
• NLP or CV project experience.
• Knowledge of MLOps, monitoring, and continuous training.
• Experience with big data tools (Spark, Hadoop) is a plus.
• Experience with cloud platforms for AI services (AWS, Azure, GCP).

Responsibilities

• Design, develop, test, and deploy scalable Python applications.
• Integrate AI/ML models into production systems.
• Develop REST APIs for AI services and manage data pipelines.
• Build, train, evaluate, and optimize ML models.
• Deploy models using ML frameworks or cloud services.
• Feature engineering, model selection, tuning, evaluation.
• Work with structured and unstructured data.
• Develop data preprocessing pipelines.
• Participate in code reviews and agile ceremonies.
• Stay updated with AI/ML trends and architectures.
• Containerize applications with Docker.
• Deploy AI models in production with CI/CD pipelines.

Skills

Python development

AI/ML concepts

API development

Data manipulation

Cloud platforms

Education

Bachelor's or Master's in CS/DS/AI

Tools

TensorFlow

PyTorch

Keras

scikit-learn

Pandas

NumPy

Matplotlib

Seaborn

Flask

FastAPI

Docker

CI/CD

SQL

NoSQL

Spark

Hadoop

AWS

Azure

GCP

Job description

2 - 3 Years

Total Experience

Full Time

Job Type

1

No. of Openings

View all Jobs

We are seeking a skilled Python Developer with expertise in Artificial Intelligence and Machine Learning to join our dynamic team. The ideal candidate will design, develop, and deploy AI-powered applications, pipelines, and solutions, ensuring performance, scalability, and maintainability in production environments.

Key Responsibilities

• Design, develop, test, and deploy scalable Python applications.
• Write clean, efficient, and modular code integrating AI/ML models into production systems.
• Develop REST APIs for AI services and manage data pipelines for ML workflows.
• Build, train, evaluate, and optimize machine learning models using libraries such as TensorFlow, PyTorch, or scikit-learn.
• Deploy models using ML frameworks or cloud-based AI services (AWS SageMaker, Azure ML, or GCP AI Platform).
• Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation.
• Work with structured and unstructured data (CSV, JSON, images, text, etc.).
• Develop data preprocessing pipelines ensuring data quality and readiness for modelling.
• Participate in code reviews, design discussions, and agile ceremonies (stand-ups, sprint planning).
• Stay updated with the latest AI/ML trends, architectures, and algorithms.
• Containerize applications using Docker.
• Deploy AI models in production using CI/CD pipelines.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
• 2-3 years of hands-on experience in Python development.
• Strong understanding of AI/ML concepts, algorithms, and workflows.
• Experience with machine learning libraries (TensorFlow, PyTorch, Keras, scikit-learn).
• Proficiency in data manipulation libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn).
• Experience deploying AI models into production systems.
• Familiarity with API development using frameworks like Flask or FastAPI.
• Understanding of SQL and NoSQL databases.
• Experience in Natural Language Processing (NLP) or Computer Vision (CV) projects.
• Knowledge of MLOps practices, ML model monitoring, and continuous training.
• Familiarity with big data tools (Spark, Hadoop) is a plus.
• Working experience with cloud platforms (AWS, Azure, GCP) for AI services.
• Exposure to Deep Learning architectures (CNNs, RNNs, Transformers).