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Junior Machine Learning Jobs in Georgia (NOW HIRING)

Crew Career Center

Senior Data Scientist

Atlanta, GA · On-site

Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems. * Mentor and guide junior data ...

Patientco

Senior Data Scientist

Atlanta, GA · On-site

Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems. * Mentor and guide junior data ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

... Machine Learning Professional). • Demonstrated ability to lead complex validation projects and mentor junior team members. Company : American International Group provides property insurance, life ...

Delta Air Lines, Inc.

Senior Decision Scientist

Atlanta, GA · Hybrid

$88K - $120K/yr

Use statistical analysis, operations research, and machine learning to create models that guide ... Mentor junior scientists and research specialists. * Telecommuting permitted two to three days per ...

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA

$100K - $138K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

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Junior Machine Learning information

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How much do junior machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for junior machine learning in Georgia is $22.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $28.03 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Georgia?

The most popular types of Machine Learning jobs in Georgia are:

What are popular job titles related to Junior Machine Learning jobs in Georgia?

For Junior Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Georgia look for?

The top searched job categories for Junior Machine Learning jobs in Georgia are:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,343 per year, or $22.8 per hour.

Senior Data Engineer I - QuantumBlack, AI by McKinsey

McKinsey & Company

Atlanta, GA • On-site

$101K - $138K/yr

Full-time

Re-posted 22 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will be a technical owner, designing and leading the implementation of scalable data architectures for cutting-edge AI and agentic systems.
You will lead the development of robust data pipelines, manage secure and governed data environments, and mentor junior colleagues while collaborating with clients and cross-functional teams. You'll tackle impactful challenges and grow as a leader by architecting innovative AI solutions across diverse industries.
You will own and deliver technical workstreams, designing machine learning, agentic, and autonomous AI systems. You'll lead the integration of machine learning, Generative AI capabilities and agentic frameworks into client solutions, designing MLOps/LLMOps-focused architectures for model management, observability, and automated retraining. You will also spearhead the design of complex feature engineering workstreams, ensuring our data assets are not only robust but also optimized for the next generation of AI models.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll lead the creation of innovative enterprise-grade machine learning systems that accelerate AI adoption and solve critical business problems at speed and scale. You will be instrumental in shaping how we build and deploy high-impact AI systems, enabling clients to achieve meaningful, lasting impact through technical innovation.
You'll be based in one of our North American offices as part of our global Data Engineering community. You'll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts, leading the data engineering workstream to deliver AI solutions. Collaborating with clients from data owners to C-level executives, you'll help design impactful solutions that address complex business challenges and build client capabilities.
You will grow as a technologist and a leader. You'll develop deep expertise at the intersection of technology strategy and business value by addressing diverse architectural challenges. Working with inspiring, multidisciplinary teams, you'll gain a holistic understanding of enterprise AI while collaborating with leading AI and data experts in the industry.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Degree in Computer Science/Engineering, or equivalent experience
  • 5+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team
  • Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
  • Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.)
  • Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost
  • Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
  • Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
  • Exceptional time management and ability to own technical workstreams autonomously
  • Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
  • Strong communication skills, both verbal and written, in English and local office language(s)
  • Willingness to travel as required

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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About McKinsey

Sourced by ZipRecruiter

In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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