Job Description:

• Design and develop machine learning models and algorithms to solve complex problems.
• Implement and optimize AI solutions using Python and relevant libraries.
• Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
• Utilize Docker for containerization and deployment of machine learning applications.
• Conduct experiments and analyze data to improve model performance and accuracy.
• Stay updated with the latest advancements in AI, ML, and Generative AI technologies.
• Develop and maintain documentation for AI models and processes.
• Participate in code reviews and contribute to best practices in software development.

Required Skills:

• Proficiency in Python programming and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of AI concepts and algorithms.
• Experience with Docker for application deployment.
• Knowledge of cloud platforms (AWS, Azure, GCP) for deploying AI solutions.
• Familiarity with Generative AI and Large Language Models (LLMs).
• Ability to analyze and visualize data effectively.

Additional Skills:

• Experience with smart editors and development tools.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Familiarity with version control systems (e.g., Git).

Job Responsibilities:

• Develop and deploy machine learning models for various applications.
• Collaborate with data scientists and engineers to enhance AI capabilities.
• Monitor and maintain the performance of deployed models.
• Conduct research to identify new AI techniques and methodologies.
• Provide technical support and guidance to team members.
• Participate in project planning and contribute to timelines and deliverables.

Primary Skills:

• Machine Learning
• Docker
• Python
• Generative AI

Other Skills:

• Cloud Computing