- 5-7 years of Python & Database experience (70%)
- 2-3 years of hands-on AI project experience (30%)
Skills Required:
- Strong proficiency of Python with experience developing production-grade data processing pipelines and AI/ML services
- Expertise in pandas and familiarity in scikit-learn libraries for data manipulation and machine learning model implementation
- Experience with anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis, and pattern mining
- Design and deploy generative AI solutions using LLMs and multimodal models to solve business problems
- Familiarity with object-oriented programming (OOP)
- Expertise in FastAPI framework for building AI service endpoints and asynchronous processing systems
- Good knowledge of Database concepts and writing SQL queries and Stored Procedures
- Working knowledge of Unix
- Experience with version control tools (preferably Git)
- Writing unit tests (e.g. using pytest)
- Self-starter with ability to work in a fast-paced environment and be able to work on multiple projects
Good to Have:
- Experience of working in Agile Squads
- Finance data domain knowledge
- Understanding of model performance monitoring, model debugging, and logging systems within AI applications
- Experience with containerization and deployment of ML services in enterprise environments
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more