Python Developer, (Onsite Interview),AI/ML, Gen AI, LLMs, Fast APIs, Production Support, Data Structures, Restful API, SQL,, NYC 12 Months Job at ZnA Inc, New York, NY

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  • ZnA Inc
  • New York, NY

Job Description

Job Id: 3378 L3

Duration: 12 Months

Location: NYC (Onsite Interview)

Title : Python Developer, (Onsite Interview),AI/ML, Gen AI, LLMs, Fast APIs, Production Support, Data Structures, Restful API, SQL, Stored Proc, UNIX/Shell, GIT, Pytest, NYC 12 Months

Top Skills : 1. Python Backend programming, 2. SQL Queries, 3. Data Structures, 4. Time Management, 5. Good In Documentation

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
  • Expertise in FastAPI framework for building AI service endpoints and asynchronous processing systems
  • Strong knowledge of Python . Should have deployed code in production environment.
  • Familiarity with object-oriented programming (OOP )
  • Understanding of data structures
  • Restful API development
  • 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
  • Experience of working in Agile Squads is good to have
  • Finance data domain knowledge is also desired

Good to Have:
Understanding of model performance monitoring, model debugging, and logging systems within AI applications
Experience with containerization and deployment of ML services in enterprise environments

Qualifications - Bachelor's or Master's Degree with 5-6 years of relevant experience.

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