Python Developer

We are seeking a talented Python Developer with 2 to 4 years of experience who is passionate about machine learning and computer vision. The ideal candidate will have hands-on experience in setting up machine learning models for computer vision applications and training use cases. You will also have experience working with Generative AI models using open-source frameworks like LLaMA, Mistral, and others. This role requires an RD mindset, with a focus on exploring new technologies and delivering innovative solutions for real-world use cases.

Technical Skills:

• 2 to 4 years of hands-on experience in Python development, with a focus on machine learning and computer vision applications.
• Proven experience in setting up and training machine learning models for computer vision use cases.
• Experience working with Generative AI using open-source models like LLaMA, Mistral, or similar frameworks.
• Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of data preprocessing, model evaluation, and optimization techniques.
• Experience with RD in AI/ML, exploring new tools and methodologies to solve complex problems.
• Ability to work independently, with a passion for learning new technologies and applying them to practical use cases.
• Strong problem-solving skills and the ability to adapt to rapidly evolving project requirements.

Key Responsibilities:

• Develop, implement, and maintain machine learning models, particularly for computer vision use cases, ensuring high accuracy and performance.
• Work on Generative AI use cases by leveraging open-source models such as LLaMA, Mistral, and similar frameworks to develop new solutions.
• Train, fine-tune, and optimize machine learning models based on real-world datasets and use case requirements.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions using AI/ML models.
• Conduct research and development (RD) on emerging AI technologies and tools to identify innovative approaches to new and existing use cases.
• Develop and maintain scripts, tools, and workflows for data preprocessing, model training, evaluation, and deployment.
• Stay current with the latest trends and advancements in machine learning, computer vision, and Generative AI technologies, applying these insights to projects.
• Troubleshoot and resolve issues related to model performance, data quality, and deployment pipelines.
• Document code, processes, and technical decisions to ensure knowledge sharing within the team.