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