Vacancy for Python AI/ML Developer

Job Summary

Short Profile :

pydev123

No. Of Vacancy

2

Location :

Pune

Category

Development

Position

Python Developer

Responsibilities

Job Description

• Design, develop, and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Build and maintain data pipelines for data ingestion, preprocessing, and feature engineering.
• Develop and implement RESTful APIs for model serving and integration with other systems.
• Collaborate with data scientists to explore data, identify patterns, and develop innovative solutions.
• Work closely with engineering teams to deploy and monitor models in production environments.
• Optimize model performance and ensure scalability and reliability.
• Contribute to the development of our AI/ML infrastructure and best practices.
• Stay up-to-date with the latest advancements in AI/ML research and technologies.
• Participate in code reviews and contribute to the overall quality of our codebase.
• Document code and models effectively.
  
  

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
• 3+ years of professional experience in Python development, with a focus on AI/ML.
• Strong proficiency in Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience building and deploying machine learning models in production environments.
• Solid understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, deep learning).
• Experience with data pipeline development and ETL tools (e.g., Airflow, Spark).
• Knowledge of data warehousing concepts and technologies.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience building RESTful APIs using frameworks like Django or Flask.
• Familiarity with NoSQL databases (e.g., MongoDB).
• Excellent problem-solving and communication skills.
• Ability to work effectively in a team environment.
  
  

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