Senior Python Developer

12 hours ago

Anywhere in IndiaMultiple Locations MARKTINE TECHNOLOGY SOLUTIONS PRIVATE LIMITED Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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