
Sr. Python Developer
2 days ago
AI/ML Development:
- Model Development and Training:
- Design, develop, and train machine learning models and algorithms to solve specific business problems.
- Implement various machine learning techniques including supervised, unsupervised, and reinforcement learning.
- Data Preprocessing and Analysis:
- Perform data cleaning, transformation, and preprocessing to prepare data for model training.
Analyze and interpret complex data sets to identify patterns and trends. - NLP, nltk and NER are preferred.
Model Evaluation and Optimization:
- Evaluate model performance using appropriate metrics and fine-tune models to improve accuracy and efficiency.
Implement model optimization techniques such as hyperparameter tuning and feature engineering.
Deployment and Maintenance:
- Deploy machine learning models into production environments ensuring scalability and reliability.
- Monitor and maintain models to ensure they continue to perform well over time.
Python Development:
Software Development:
- Write clean, maintainable, and efficient Python code.
- Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices.
Code Review and Mentorship:
- Conduct code reviews to ensure adherence to best practices and coding standards.
- Mentor junior developers and provide guidance on best practices and development techniques.
Integration and Testing:
- Integrate machine learning models with existing systems and applications.
- Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality.
Automation and Scripting:
- Automate repetitive tasks and workflows using Python scripts.
- Develop and maintain automation tools and frameworks.
Collaboration and Communication:
- Collaborate with data scientists, data engineers, product managers, and other stakeholders to
understand requirements and deliver solutions.
- Participate in design and architecture discussions to shape the direction of projects.
Documentation and Reporting:
- Document code, processes, and methodologies to ensure knowledge sharing and maintainability.
- Communicate findings, progress, and results to stakeholders through reports and presentations.
Continuous Learning and Improvement:
1. Stay Updated with Industry Trends:
- Keep up-to-date with the latest developments in AI/ML and Python technologies.
- Experiment with new tools, libraries, and frameworks to improve existing solutions and processes.
Problem Solving and Innovation:
1. Innovative Solutions:
- Identify opportunities to apply AI/ML techniques to solve new and existing problems.
- Propose and implement innovative solutions to improve business processes and outcomes.
2. Technical Challenges:
- Tackle complex technical challenges and provide effective solutions.
- Troubleshoot and resolve issues related to machine learning models and Python applications.
Mandatory Skills:
Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch).
NLP, nltk and NER hand on knowledge is required.
Experience with data preprocessing, feature engineering, and model evaluation.
Knowledge of software development principles, design patterns, and best practices.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Ability to work independently and as part of a team.
Continuous learning mindset and adaptability to new technologies.
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