Python Developer

Senior Python Developer

Key Responsibilities

• AI Model Development

  : Design, develop, and deploy AI/ML models using

  PyTorch

  for diverse applications.

• Software Development

  : Write clean, scalable, and efficient Python code to create robust software solutions.

• Research and Innovation

  : Stay updated with the latest advancements in AI/ML and recommend best practices for implementation.

• Optimization and Performance Tuning

  : Optimize models for performance, scalability, and deployment in production environments.

• Collaboration

  : Work closely with cross-functional teams including data scientists, product managers, and software engineers to deliver high-quality solutions.

• Tool Integration

  : Integrate AI models into existing systems and workflows while ensuring seamless deployment.

• Documentation

  : Maintain comprehensive documentation for developed solutions, including APIs and technical specifications.

Required Skills and Qualifications

• Programming Expertise

  : Strong proficiency in

  Python

  with extensive hands-on experience.

• AI/ML Expertise

  : Proven experience in building and deploying machine learning models, especially using

  PyTorch

  .

• Development Experience

  : Minimum of

  5 years of professional experience

  in software development.

• Frameworks & Libraries

  : Deep understanding of PyTorch, TensorFlow (optional), Scikit-learn, Pandas, NumPy, etc.

• Cloud Computing

  : Experience with deploying AI solutions on cloud platforms like AWS, Azure, or GCP.

• Database Management

  : Familiarity with relational and non-relational databases (e.g., MySQL, MongoDB).

• Version Control

  : Proficient with Git and CI/CD pipelines.
• Understanding of

  LLM

  model (Large Language Model).

• Problem-Solving Skills

  : Strong analytical and problem-solving abilities with attention to detail.

• Soft Skills

  : Excellent communication, collaboration, and leadership skills.

Preferred Skills

• Experience with

  NLP, Computer Vision

  , or other specialized AI domains.
• Experience with any Frontend language.
• Knowledge of

  containerization technologies

  like Docker and Kubernetes.
• Familiarity with

  DevOps

  practices and tools.
• Exposure to

  Big Data

  frameworks (e.g., Apache Spark, Hadoop).
• Certifications in Python, AI, or cloud platforms (AWS/GCP/Azure).