AI/ML Engineer - Python & GenAI Development

• Conducting in-depth research on AI and ML models, particularly in Generative AI.
• Developing, fine-tuning and optimizing AI/ML models for various applications.
• Implementing and deploying AI-based applications using Python frameworks.
• Working with containerization technologies like Docker for scalable application deployment.
• Designing and integrating CI/CD pipelines for automated testing and deployment.
• Developing and integrating APIs for web applications to interact with AI models.
• Collaborating with cross-functional teams to develop AI-powered solutions.
• Staying up to date with the latest advancements in AI/ML and emerging trends in GenAI.
• Ensuring the security, performance and reliability of AI applications.
• Developing and maintaining technical documentation for AI models and software applications.

JOB REQUIREMENTS/ SKILLS:

• Strong proficiency in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
• Hands-on experience in researching and developing AI models, especially in Generative AI.
• Solid knowledge of containerization using Docker and experience with Kubernetes.
• Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI.
• Experience in deploying AI applications on cloud platforms (AWS, Azure, or GCP).
• Strong understanding of software development best practices, APIs, and microservices architecture.
• Experience in web application development and API design for AI-powered applications.
• Ability to explore, evaluate, and implement state-of-the-art AI research.
• Excellent problem-solving skills and ability to work in an agile development environment.
• Preferred Qualifications:
• Experience with LangChain, OpenAI API, or similar GenAI frameworks.
• Knowledge of vector databases and Retrieval-Augmented Generation (RAG) architectures.
• Exposure to MLOps practices and AI model lifecycle management.
• Prior experience with NLP, computer vision, or reinforcement learning.
• Contributions to AI research papers, open-source projects, or hackathons.