Data Science Path: AI/ML Engineer

Tech Consulting; Atlanta (GA); On-site; USD 70,000 - 110,000; Full time

Job summary

Tech Consulting seeks ambitious technical professionals ready to transition into a Data Science career. You'll build skills in Python, SQL, and analytics, advancing through enterprise projects for Fortune 1000 clients across Finance, Healthcare, Retail, and tech sectors.

You will work on data science methodologies, machine learning, predictive analytics, Generative AI, and data engineering concepts, with AWS and Azure cloud platforms, big data tech, and advanced SQL/Python development.

Qualifications

• Master’s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field
• OR bachelor’s degree with at least 2 years of professional technical experience
• Proficiency in Python and SQL with strong analytical skills
• Experience coding and solving problems in IT/software analytics or related fields
• Excellent communication and ability to learn new technologies quickly

Responsibilities

• Apply Data Science methodologies to real-world projects
• Develop machine learning models and predictive analytics solutions
• Explore Generative AI and data engineering concepts
• Work with cloud platforms (AWS & Azure) and big data technologies
• Contribute to enterprise data solutions and SQL/Python development

Skills

Python

SQL

OOP

Analytical thinking

Communication

Learning quickly

Education

Master’s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or related quantitative field

Bachelor’s degree with at least 2 years of professional technical experience

Tools

AWS

Azure

Databricks

PySpark

GitLab

Data Warehousing

Cloud Technologies

Statistical Analysis

Job description

Tech Consulting seeks ambitious technical professionals ready to transition into a Data Science career. You'll build skills in Python, SQL, and analytics, advancing through enterprise projects for Fortune 1000 clients across Finance, Healthcare, Retail, and tech sectors.

You will work on data science methodologies, machine learning, predictive analytics, Generative AI, and data engineering concepts, with AWS and Azure cloud platforms, big data tech, and advanced SQL/Python development.