Responsibilities :
Implement and fine-tune generative AI models under the guidance of senior team members.
Contribute to prompt engineering and development of AI-powered workflows.
Assist with the deployment, monitoring, and maintenance of AI models in production environments.
Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
Perform data preprocessing, feature engineering, and API development for AI applications.
Participate in code reviews, testing, and documentation to ensure quality and reliability.
Stay updated with advancements in GenAI and share relevant learnings with the team.
Additional Responsibilities:
Required Soft Skills:
Strong teamwork and communication abilities.
Willingness to learn new AI/ML technologies and frameworks.
Analytical mindset and attention to detail.
Openness to feedback and continuous improvement. Qualifications:
Bachelor's degree or Master's degree in Computer Science, Data Science, AI, or a related field.
3-5 years of professional experience in AI/ML development, with exposure to Generative AI.
Experience delivering AI/ML projects in a collaborative setting.
Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
Technical and Professional Requirements:
Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras).
Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).
Exposure to RAG systems and basic knowledge of hybrid search techniques.
Understanding of model deployment and containerization (Docker).
Proficiency in Python for AI development, data preprocessing, and scripting.
Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
Understanding of version control systems (Git).
Awareness of AI compliance, data privacy, and responsible AI principles.
