Python AI/ML Engineer

Siri InfoSolutions Inc
Charlotte, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 100K

Job location

Charlotte, United States of America

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Automation of Tests
Big Data
Cloud Computing
Profiling
Continuous Integration
ETL
Relational Databases
Database Queries
Linux
Python
PostgreSQL
Machine Learning
Maven
Node.js
NoSQL
Query Optimization
Role-Based Access Control
TensorFlow
Data Logging
Data Processing
Scripting (Bash/Python/Go/Ruby)
Data Ingestion
Large Language Models
Spring-boot
GIT
Pandas
Pytest
Git Flow
Kafka
Virtual Agents
Data Pipelines
Docker
Jenkins
Microservices

Job description

  • Design and develop data processing pipelines and utilities using Python.
  • Java, API, Python, Cloud, Microservice based architecture, Spring boot, Vertex, Kafka, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD
  • Implement efficient data ingestion and transformation workflows using Pandas.
  • Model, implement, and optimize PostgreSQL schemas and queries for large datasets.
  • Develop and maintain automated test suites using PyTest (unit, integration, regression).
  • Ensure application observability through logging, metrics, and performance profiling.
  • Implement data security and compliance measures (RBAC, encryption, auditing).
  • Collaborate with cross-functional teams to deliver production-ready solutions.

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Requirements

  • Need to have hands-on experience in PostgreSQL, and PyTest,Gen AI
  • Python, AI/ML, Tensorflow, LLM, GenAI
  • Integrate data and service layers via REST/gRPC and enforce type safety.
  • Build and maintain CI/CD pipelines with quality gates and test automation.
  • The role involves building robust data processing solutions, optimizing relational databases, and implementing automated testing frameworks for enterprise-grade applications.
  • Expertise in Python and Pandas for data manipulation and analysis.
  • Strong SQL skills and hands-on experience with PostgreSQL (query tuning, schema design).
  • Proficiency in PyTest for automated testing and CI/CD integration.
  • Familiarity with ETL patterns and large-scale data processing.
  • Experience with Git-based workflows and CI/CD tools.
  • Knowledge of Linux, Docker, and scripting for automation.
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