Senior Python Developer

2 days ago

Mohali, India Tech RBM Mohali Full time

Key Responsibilities :

- Design, develop, and maintain scalable and efficient Python applications for AI/ML projects.

- Collaborate with data scientists to implement and optimize machine learning models and algorithms.

- Build and maintain data pipelines to ensure high-quality data flow for model training and evaluation.

- Conduct data analysis and visualization to derive actionable insights and inform decision-making.

- Optimize model performance through techniques such as hyperparameter tuning and feature engineering.

- Deploy machine learning models into production environments, ensuring reliability and performance.

- Work with cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment and data storage.

- Participate in code reviews, mentoring junior developers, and fostering best coding practices.

- Stay current with industry trends and advancements in AI/ML technologies and frameworks

- Proficiency in Python programming and familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.

- Experience with data preprocessing, feature engineering, and model evaluation techniques.

- Strong understanding of machine learning algorithms and concepts, including supervised and unsupervised learning.

- Familiarity with deep learning techniques and frameworks (e.g., Keras, TensorFlow) is a plus.

- Knowledge of database technologies (SQL and NoSQL) for data storage and retrieval.

- Experience working with version control systems (e.g., Git) and CI/CD processes.

- Excellent problem-solving skills, analytical thinking, and attention to detail.

- Strong communication skills with the ability to work collaboratively in a team environment.

Preferred Skills

- Experience with big data technologies (e.g., Hadoop, Spark) for handling large datasets.

- Familiarity with natural language processing (NLP) and computer vision techniques.

- Understanding of deployment tools and frameworks (e.g., Docker, Kubernetes) for managing applications in production.

(ref:hirist.tech)

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