- Design and implement robust machine learning models and algorithms, focusing on recommendation systems.
- Conduct data analysis to identify trends, insights, and opportunities for model improvement.
- Collaborate with data scientists and software engineers to build and integrate end-to-end machine learning systems.
- Optimize and fine-tune models for performance and scalability, ensuring seamless deployment.
- Work with large datasets using SQL and Postgres to support model training and evaluation.
- Implement and refine prompt engineering techniques for large language models (LLMs).
- Stay current with advancements in AI/ML technologies, particularly in core ML algorithms like clustering and community detection.
- Monitor model performance, conduct regular evaluations, and retrain models as needed.
- Document processes, model performance metrics, and technical specifications.
- Bachelors or Masterโs degree in Computer Science, Data Science, or a related field.
- Strong expertise in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience with SQL and Postgres for data manipulation and analysis.
- Demonstrated experience building and deploying recommendation engines.
- Solid understanding of core machine learning algorithms, including clustering and community detection.
- Prior experience in building end-to-end machine learning systems.
- Familiarity with prompt engineering and working with large language models (LLMs).
- Experience working with near-real-time recommendation systems
- Any graph databases hands-on experience like Neo4j, Neptune, etc
- Experience in Flask or Fast API frameworks
- Experience with SQL to write/modify/understand the existing queries and optimize DB connections
Preferred Qualifications:
- Experience with Graph DB (specifically Neo4J and cypher query language)
- Knowledge of large-scale data handling and optimization techniques.
- Experience with Improving models with RLHF
- Work from anywhere
- Healthcare reimbursement
- Wi-Fi Reimbursement
- Unlimited Learning: Access to Udemy courses, books, and everything you need to keep growing
- And So Much More: Weโre not just about workโweโre about creating an environment where youโll love to be!