Design, develop, and fine- tune machine learning and AI models, including. Retrieval- Augmented Generation (RAG), LLMs, and recommendation systems.
Continuously experiment and innovate, leveraging the latest advancements in AI and data science.
Build and maintain workflows for multi- agent systems, agent workflows, and Personal AI Assistants.
Work with large datasets to preprocess, analyze, and extract meaningful insights.Collaborate with Product and Engineering teams to deploy AI models into production environments.
Integrate and optimize personalized coaching and meal planning algorithms.
Technologies We Use:
Recommendation Systems: Personal AI Assistant, collaborative filtering, content- based filtering
Data & Tools: SQL, PostgreSQL, MongoDB, Redis, Pandas, NumPy
Development Languages: Python, TypeScript
Infrastructure: TensorFlow, PyTorch, LangChain, Hugging Face, GCP, Serverless architecture
AI/ML Stack: Retrieval- Augmented Generation (RAG), Large Language Models (LLMs), fine- tuning techniques, multi- agent systems, agent workflows.
Required Skills & Experience:
Experience: 2+ years of professional experience in AI/ML or data science roles, with a proven track record of deploying AI solutions in production.
Educational Background: Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related field.
Technical Expertise:
Proficient in machine learning, deep learning, and natural language processing techniques.
Experience working with LLMs, fine- tuning, and multi- agent systems.
Strong understanding of recommendation systems, including collaborative and content- based filtering.
Familiarity with AI workflows, including RAG, agent workflows, and personalization strategies.
Soft Skills: A team player with strong problem- solving skills, the ability to communicate complex ideas effectively, and a passion for innovation.
Data Handling: Experience working with large datasets, data preprocessing, and analytics using tools like Pandas and NumPy.
Programming Skills: Proficient in Python, with experience in AI/ML frameworks like TensorFlow, PyTorch, and LangChain.
