Data Scientist / GenAI Specialist / AI Engineer

Job Description

Role & Responsibilities:

• Develop and deploy Generative AI solutions using LLMs and related technologies.
• Fine-tune large language models (LLM fine-tuning) to improve performance.
• Work on Retrieval-Augmented Generation (RAG) methodologies to optimize AI outputs.
• Implement Prompt Engineering techniques for effective model interaction.
• Utilize Python, TensorFlow, and PyTorch for AI model development and optimization.
• Work with cloud platforms like Azure, AWS, or GCP to deploy and scale AI models.
• Collaborate with cross-functional teams to integrate AI solutions into business applications.
• Maintain AI/ML pipelines and workflows using LLMOps best practices.

Preferred Candidate Profile:

• 5 to 8 years of experience in AI, ML, or Data Science roles.
• 2 to 3 years of experience specifically in GenAI solution development, LLM fine-tuning, RAG, or LLMOps.
• Strong background in Natural Language Processing (NLP) and Transformer models.
• Hands-on experience with cloud-based AI solutions (Azure, AWS, GCP).
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Perks and Benefits:

• Competitive salary and performance-based incentives.
• Work with cutting-edge AI technologies and industry leaders.
• Opportunities for career growth and learning.
• Health insurance and other standard benefits.