AI ML Engineer (DS)

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

About the Company

Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals witha strong foundationin programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.

About the Role

This role is ideal for candidates who:

• Have a strong technical foundation




• Know how to write code and solve problems




• Have experience working in IT, software development, analytics, or related fields




• Want to transition into Data Science




• Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies




• Are you looking for a long-term career path with significant growth potential

Responsibilities

Through hands-on project experience and mentorship,you'llgain exposure to:

• Data Science Methodologies




• Machine Learning




• Predictive Analytics




• Generative AI




• Data Engineering Concepts




• Cloud Platforms (AWS & Azure)




• Big Data Technologies




• Enterprise Data Solutions




• Advanced SQL and Python Development

Qualifications

Minimum Qualifications

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




• ORbachelor’s degreewith at least 2 years of professional technical experience

Required Skills

• Experience coding in Python




• Strong SQL skills




• Understanding of object-oriented programming concepts




• Strong analytical and problem-solving abilities




• Excellent communication skills




• Ability to learnnew technologiesquickly

Preferred Skills

• Experience with any of the following is a plus:




• Data Analytics




• Software Development




• AI Engineering




• Machine Learning




• AWS




• Azure




• Databricks




• PySpark




• GitLab




• Data Warehousing




• Cloud Technologies




• Statistical Analysis