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Python Software Developer with AI

Trinity Consulting Services
Full Timejunior
INPosted April 7, 2026

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PythonAWSGCPLinuxBigQueryPandas

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Job Description

As an experienced candidate with 3+ years of experience, you will be responsible for the following key areas:

Role Overview:

You will be working on Python development, data analysis, machine learning, data visualization, recommendation systems, cloud services, databases, Linux automation, deep learning/AI, and soft skills. Your primary focus will be on developing and implementing various machine learning models, data analysis, and visualization techniques.

Key Responsibilities:

  • Strong hands-on experience in Python development
  • Proficient in data cleaning and analysis using Pandas or equivalent tools
  • End-to-end ML model development from data understanding to inference
  • Knowledge of supervised and unsupervised learning techniques
  • Awareness of real-world ML use cases
  • Experience in reporting using Matplotlib, Seaborn, or similar libraries
  • Understanding of recommendation system concepts and implementation basics
  • Familiarity with AWS services such as S3, Lambda, and SageMaker
  • Knowledge of GCP services like GCS, Vertex AI, and notebook scheduling
  • Experience with BigQuery including CRUD operations
  • Basic Linux knowledge for server interaction and cron job setup
  • Awareness of deep learning and modern AI model implementation
  • Strong communication, teamwork, and analytical thinking skills

Qualifications Required:

  • 3+ years of experience in Python development and data analysis
  • Proficiency in using Pandas for data cleaning and analysis
  • Experience in developing end-to-end machine learning models
  • Knowledge of data visualization tools like Matplotlib and Seaborn
  • Familiarity with cloud services such as AWS and GCP
  • Experience with databases like BigQuery
  • Basic Linux knowledge for automation tasks
  • Awareness of deep learning and AI model implementation
  • Strong communication, teamwork, and analytical thinking skills

If you are interested in this opportunity, please apply by sending your resume to the email address: hidden_email or hidden_email an experienced candidate with 3+ years of experience, you will be responsible for the following key areas:

Role Overview:

You will be working on Python development, data analysis, machine learning, data visualization, recommendation systems, cloud services, databases, Linux automation, deep learning/AI, and soft skills. Your primary focus will be on developing and implementing various machine learning models, data analysis, and visualization techniques.

Key Responsibilities:

  • Strong hands-on experience in Python development
  • Proficient in data cleaning and analysis using Pandas or equivalent tools
  • End-to-end ML model development from data understanding to inference
  • Knowledge of supervised and unsupervised learning techniques
  • Awareness of real-world ML use cases
  • Experience in reporting using Matplotlib, Seaborn, or similar libraries
  • Understanding of recommendation system concepts and implementation basics
  • Familiarity with AWS services such as S3, Lambda, and SageMaker
  • Knowledge of GCP services like GCS, Vertex AI, and notebook scheduling
  • Experience with BigQuery including CRUD operations
  • Basic Linux knowledge for server interaction and cron job setup
  • Awareness of deep learning and modern AI model implementation
  • Strong communication, teamwork, and analytical thinking skills

Qualifications Required:

  • 3+ years of experience in Python development and data analysis
  • Proficiency in using Pandas for data cleaning and analysis
  • Experience in developing end-to-end machine learning models
  • Knowledge of data visualization tools like Matplotlib and Seaborn
  • Familiarity with cloud services such as AWS and GCP
  • Experience with databases like BigQuery
  • Basic Linux knowledge for automation tasks
  • Awareness of deep learning and AI model implementation
  • Strong communication, teamwork, and analytical thinking skills

If you are interested in this opportunity, please apply by sending your resume to the email address: hidden_email or hidden_email.

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