Years of experience:
• 5-7 years of Python & Database experience
Skills Required:
- Strong proficiency of Python with experience developing production-grade data processing pipelines
- Familiarity with object-oriented programming (OOP)
- Good knowledge of Database concepts and writing SQL queries and Stored Procedures and query optimization
- Expertise in FastAPI framework for building service endpoints and asynchronous processing systems
- 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
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 pandas and familiarity in scikit-learn libraries for data manipulation and machine learning model implementation
Rate range -$50-$55Skills Required
- 5-7 years of Python and database development experience
- Strong Python proficiency and experience developing production-grade data processing pipelines
- Familiarity with object-oriented programming
- Knowledge of database concepts, SQL queries, stored procedures, and query optimization
- Expertise with FastAPI for service endpoints and asynchronous processing systems
- Working knowledge of Unix
- Experience with version control tools, preferably Git
- Experience writing unit tests, such as with pytest
- Ability to work independently in a fast-paced environment and manage multiple projects
- Experience working in Agile squads
- Finance data domain knowledge
- Understanding of model performance monitoring, model debugging, and logging systems within AI applications
- Experience containerizing and deploying ML services in enterprise environments
- Experience with anomaly detection, including isolation forest, clustering, time series analysis, and pattern mining
- Experience designing and deploying generative AI solutions using LLMs and multimodal models
- Expertise with pandas and familiarity with scikit-learn
What We Do
Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics builds deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation. Zealogics values engineering techniques, automation frameworks, and reference models which are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies through a collaborative approach for execution. We help to harmonize processes, identify bottlenecks, and eliminate non-value tasks to deliver world-class products. With impeccable focus on client needs we connect specialized resources for the right positions, both for full time and contractual placements. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. Zealogics hires experienced people to solve a wide array of IT and Engineering challenges that our clients face. Our guarantee - Zealogics provides the best value services in town.
