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Senior Python Developer - AI/ML Models

MARKTINE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
Anywhere in India/Multiple Locations
6 - 12 Years

Posted on: 26/09/2025

Job Description

About the Role :


We are seeking a highly skilled Senior Python Developer with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our innovative team. The ideal candidate will have a strong background in Python development, data science, and machine learning frameworks to design, develop, and deploy AI/ML models and solutions that solve complex business problems.


Key Responsibilities :


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


- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions.


- Build and maintain data pipelines and ETL processes to support AI/ML workflows.


- Implement machine learning algorithms, natural language processing (NLP), computer vision, or deep learning models using frameworks like TensorFlow, PyTorch, scikit-learn, etc.


- Optimize and tune models for performance, scalability, and accuracy.


- Develop APIs and services to integrate AI/ML models into production environments.


- Conduct code reviews, write unit and integration tests, and maintain high code quality.


- Stay updated with the latest AI/ML trends, tools, and best practices to continuously improve our solutions.


- Mentor junior developers and contribute to team knowledge sharing and best practices.


Required Skills and Qualifications :


- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.


- 5+ years of professional experience in Python development with a focus on AI/ML projects.


- Strong proficiency in Python and its data science libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, etc.


- Experience in developing, training, and deploying machine learning and deep learning models.


- Solid understanding of machine learning algorithms, data structures, and statistics.


- Experience with data processing and ETL pipelines using tools like Apache Airflow, Spark, or similar.


- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.


- Knowledge of RESTful API development and microservices architecture.


- Excellent problem-solving, debugging, and analytical skills.


- Strong communication skills and ability to work collaboratively in a cross-functional team.


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