AI Engineer

About Us:

Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.

Role Overview:

Join for one of our top customer as a skilled AI Engineer you will design, develop, and deploy machine learning models and systems that drive our products and enhance user experiences. You will work closely with cross-functional teams to implement cutting-edge AI solutions, including recommendation engines and large language models.

Key Responsibilities:

• 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.

Required Skills and Qualifications:

• Bachelors or Master’s 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
• Experience with AWS services like ECS, EC2, S3, Cloudwatch

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