Machine Learning & Algorithmic Engineer

Responsibilities:

• Optimize and fine-tune large language models (LLMs) for summarization, labeling, question answering, and agentic AI capabilities.
• Train and enhance AI models to extract relevant insights from multimodal data sources (voice, text, chat, and SMS).
• Develop and implement RAG (Retrieval-Augmented Generation) solutions to improve model performance and response accuracy.
• Design and refine prompt engineering strategies for various NLP tasks to ensure accurate and contextually aware outputs.
• Implement A/B testing methodologies to evaluate different model versions and improve AI performance.
• Develop and maintain scalable ML pipelines for model training, evaluation, and deployment.
• Collaborate with data engineers, software developers, and product teams to integrate AI solutions into our platform.
• Has experience with CRM (Zoho)

Must-Have Skills

Proven experience in LLM fine-tuning, optimization, and deployment

Deep understanding of Retrieval-Augmented Generation (RAG) solutions

Expertise in prompt engineering for AI-driven applications

Strong background in machine learning, deep learning, and NLP

Proficiency in Python, with experience in key ML libraries:

• NumPy, Pandas, SciPy, scikit-learn
• PyTorch or TensorFlow
• Hugging Face Transformers

Experience with A/B testing and model evaluation techniques

Familiarity with data versioning and MLOps tools like DVC

Proficiency in SQL and working with large datasets

Strong problem-solving skills and the ability to work autonomously in a remote setting

Nice-to-Have Skills:

Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) for RAG applications

Background in agentic AI development for conversational agents

Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment

Knowledge of C++ or R for performance optimization

What We Offer:

Work Onsite (BGC, Tagiug City)

Competitive Salary

15 VL (Convertible to Cash)