Lead Engineer - AI/ML

• Lead the development and integration of AI/ML capabilities into a SaaS application.
• Design, train, fine-tune, and deploy large language models (LLMs) using advanced embedding techniques.
• Develop and implement Natural Language Processing (NLP) solutions, including tokenization, attention mechanisms, and sentiment analysis.
• Perform tasks such as text summarization, semantic search, and supervised/unsupervised learning.
• Optimize AI/ML models using techniques like quantization, pruning, and distillation.
• Create and manage searchable vector databases derived from extensive knowledge bases.
• Build and deploy intelligent chatbots to enhance user experience.
• Collaborate with cross-functional teams to define project requirements and deliver AI-enabled features.
• Evaluate model performance using industry-standard metrics and implement improvements as needed.

Skills

• 6+ years of experience in AI/ML software development.
• Hands-on experience with LLM fine-tuning and embedding techniques.
• Proficiency in NLP frameworks, tokenization, and attention mechanisms.
• Demonstrated expertise in sentiment analysis, text summarization, and semantic search.
• Strong knowledge of supervised and unsupervised learning methodologies.
• Experience in model distillation and optimization (e.g., quantization, pruning).
• Hands-on experience with Hugging Face transformers.
• Proficiency in Python for AI/ML applications.
• Proven track record of building chatbots and conversational AI systems.
• Experience creating searchable vector databases from large knowledge bases.
• Expertise in evaluating model performance and using appropriate metrics.

Qualifications

• Familiarity with AI/ML applications in SaaS platforms.
• Experience working with remote teams and agile methodologies.
  • Strong problem-solving and analytical skills.