Lead AI Engineer

Location United States of America
Discipline: Machine Learning
Contact name: Tom Goldberg

Contact email: tom@enigma-rec.ai
Published: 11 days ago

As a Lead AI Engineer, you will be responsible for developing AI and Machine Learning models and pipelines, focusing on generative AI, LLMs, and predictive modeling. Your role will involve collaborating closely with data scientists and product leads to implement AI models and build necessary data and code pipelines through rigorous engineering practices. You will need to demonstrate expertise in designing, developing, managing, and maintaining systems, as wells as handling large datasets. Additionally, you will be expected to have hands-on experience with common machine learning and AI frameworks, a solid understanding of AI and machine learning fundamentals, and the ability to design and evaluate LLM-supported use cases.

What the Company Hiring is Looking For

  • Coordination between Data Scientists and Product Analysts

  • Automation of infrastructure used by the Data Science team

  • Testing and deployment of models

  • Development of minimum viable products based on machine learning

  • Automation of processes using machine learning

  • Creation of AI models utilizing deep learning, neural networks, and ML algorithms for business insights

  • Proficiency in programming, software engineering, and data science

  • Utilization of various tools and methods to process data and maintain AI systems

Qualifications and Skills

  • 7 to 10 years of experience in a similar role

  • Post Graduate Degree or equivalent experience in Computer Science

  • 5+ years of practical experience implementing AI/ML solutions

  • Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related field

  • 3+ years of experience with machine learning ecosystem tools like pytorch, tensorflow, scikitlearn, xgboost, etc.

  • Understanding of MLOps fundamentals and cloud platforms (Azure, GCP, AWS)

  • Practical experience with data and code pipelines

  • Ability to implement, test, and deploy Machine Learning models

  • Familiarity with tools like langchain, llamaindex, haystack, Azure AI studio, vector databases, and retrieval techniques

  • Proficiency in SQL, Azure Data Factory, or similar for database handling

  • Knowledge of software development best practices

  • Ability to work independently and in a team environment

  • Excellent written and verbal communication skills

  • Knowledge of Revenue Cycle Management, Collections, or financial industries is a plus