AI and ML Software Engineer – Transforming Technology with Intelligent Solutions

Are you a forward-thinking software engineer passionate about artificial intelligence and machine learning? We are hiring an AI and ML Software Engineer to join a cutting-edge technology team based in Atlanta, GA. This is a unique opportunity to work on groundbreaking projects that harness the power of data to solve complex problems across industries. If you excel in building scalable ML pipelines, enjoy working with large datasets, and thrive in collaborative innovation-driven environments, this role is tailor-made for you.

Join a High-Impact AI Team in Atlanta

A leading technology company in Atlanta, GA is seeking a skilled AI and ML Software Engineer to help build intelligent systems that drive business transformation. In this role, you will develop advanced algorithms, deploy models into production, and contribute to AI-powered platforms used by global clients. Ideal candidates will bring strong expertise in Python, TensorFlow or PyTorch, and cloud services such as AWS or Azure. If you’re ready to build real-world AI solutions and make your mark in a rapidly evolving field, we invite you to apply today.

Key Responsibilities of the AI and ML Software Engineer – Atlanta, GA

AI/ML Model Development:
Design, develop, and optimize machine learning models to solve complex business problems. Utilize supervised, unsupervised, and deep learning techniques to extract meaningful insights from large datasets.

Data Pipeline Engineering:
Build and maintain robust data pipelines that support real-time and batch processing. Ensure high-quality data ingestion, transformation, and storage for model training and deployment.

Model Deployment & Optimization:
Deploy machine learning models into production environments using tools such as Docker, Kubernetes, and cloud-based ML services (AWS SageMaker, Azure ML, etc.). Continuously monitor and tune models for performance and accuracy.

Research & Innovation:
Stay ahead of emerging trends in AI and ML. Experiment with state-of-the-art algorithms and frameworks, and translate research into practical applications that deliver business value.

Cross-Functional Collaboration:
Work closely with product managers, data engineers, and software developers to integrate ML solutions into scalable products. Translate technical concepts into business value for non-technical stakeholders.

Scalability & Efficiency:
Design AI systems with scalability and performance in mind. Optimize algorithms for speed, memory usage, and efficiency across distributed computing environments.

Testing & Validation:
Develop robust testing protocols to validate model performance. Conduct A/B testing, backtesting, and error analysis to ensure reliability and precision in real-world applications.

Documentation & Reporting:
Maintain clear documentation of model design, data flow, and implementation. Present findings and performance metrics to internal teams and stakeholders in an understandable and actionable format.

Security & Ethics:
Implement best practices for data privacy, model fairness, and ethical AI use. Ensure AI solutions comply with relevant legal, regulatory, and ethical standards.

Continuous Learning:
Engage in ongoing learning to keep up with rapidly evolving AI tools, languages, and platforms. Participate in code reviews, knowledge sharing, and community events to strengthen team expertise.

What the Client is Looking for in You

As an AI and ML Software Engineer, the client is seeking a highly motivated, technically skilled individual with a passion for innovation and solving complex problems through intelligent systems. You should be results-driven, collaborative, and capable of turning data into actionable insights that empower decision-making and automation at scale.

Strong Foundation in AI and Machine Learning

The client is looking for an engineer with a deep understanding of machine learning principles, including supervised and unsupervised learning, deep learning, and model evaluation techniques. You should have experience building, training, and deploying ML models using industry-standard frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Proficiency in Software Engineering and Data Handling

You must possess excellent programming skills, particularly in Python, along with familiarity in writing clean, modular, and scalable code. The client expects strong experience with data preprocessing, feature engineering, and designing efficient data pipelines using tools like Pandas, Spark, or SQL.

Experience with Cloud and Production Environments

The ideal candidate will have hands-on experience deploying models to cloud platforms (AWS, Azure, GCP) and using services such as SageMaker or Vertex AI. Comfort with containers (Docker), orchestration tools (Kubernetes), and CI/CD practices is a big plus.

Analytical Thinker with a Problem-Solving Mindset

The client values individuals who are curious, logical, and solution-oriented. You should be comfortable working with ambiguous data and open-ended problems, with a strong ability to break down challenges and devise practical ML solutions that scale effectively.

Collaborative and Communicative

Strong communication skills are essential. You’ll be expected to collaborate with cross-functional teams including data scientists, backend developers, and product managers. The client is looking for someone who can explain complex technical concepts to non-technical stakeholders with clarity and confidence.

Focus on Quality, Ethics, and Compliance

The client prioritizes candidates who demonstrate a commitment to ethical AI, data privacy, and responsible use of machine learning. You should be familiar with bias mitigation techniques, model explainability, and regulatory standards affecting AI applications.

Growth-Oriented and Adaptable

This is a fast-evolving space, and the client seeks engineers who are eager to learn and continuously adapt. Whether it’s new tools, techniques, or research, your ability to stay ahead of trends and integrate them into your work will be key to your success.

FAQs About the Role – AI and ML Software Engineer – Atlanta, GA

1. What are the key responsibilities of the AI and ML Software Engineer in this role?
As an AI and ML Software Engineer, you will be responsible for designing, developing, and deploying machine learning models and intelligent systems. You will build and optimize data pipelines, collaborate with cross-functional teams to integrate AI into products, and stay updated on the latest advancements in artificial intelligence. Additionally, you’ll ensure ethical, scalable, and production-ready deployment of models in cloud or on-premise environments.

2. What qualifications and experience are required for this position?
The ideal candidate should have a strong background in computer science, artificial intelligence, or related fields. Experience in building and deploying machine learning models using Python, TensorFlow, PyTorch, or Scikit-learn is essential. A solid grasp of data preprocessing, feature engineering, and cloud platforms (AWS, Azure, or GCP) is required. A bachelor’s or master’s degree in a technical field is preferred, along with at least 2–4 years of relevant industry experience.

3. What technical skills are essential for success in this role?
Key skills include proficiency in Python, experience with ML frameworks, data wrangling, and working knowledge of distributed computing and containerization (e.g., Docker, Kubernetes). Familiarity with DevOps for ML, APIs, Git, and cloud services like SageMaker or Vertex AI will enhance your impact in the role. Strong problem-solving abilities and the capacity to write efficient, production-level code are also crucial.

4. What kind of projects will I be working on?
You’ll work on a variety of projects including predictive analytics, recommendation engines, NLP models, computer vision solutions, and real-time decision systems. These projects may span across domains such as healthcare, finance, retail, or logistics, depending on business needs and your expertise.

5. What are the main challenges in this role?
Common challenges include managing large-scale data, ensuring model accuracy and generalization, addressing data bias, and optimizing deployment pipelines for performance and cost. You may also face challenges related to integrating ML models into legacy systems and keeping up with the fast-evolving AI landscape.

6. What is the team culture and work environment like?
The company promotes a collaborative and innovation-focused environment. You’ll be part of a cross-functional team that values continuous learning, creativity, and open communication. Engineers are encouraged to experiment, share ideas, and contribute to both research and production code.

7. Will I have opportunities for growth and professional development?
Yes. The organization actively supports professional development through internal workshops, access to online learning platforms, conference participation, and mentorship programs. You’ll have clear pathways to grow as a technical expert, team lead, or solution architect based on your goals.

What Remuneration Can You Expect from This Job?

As an AI and ML Software Engineer based in Atlanta, GA, you can expect a competitive compensation package that reflects your skills, experience, and the high demand for talent in the field of artificial intelligence and machine learning. Here’s a breakdown of the typical remuneration components for this role:

1. Base Salary

The base salary for AI and ML Software Engineers in Atlanta typically ranges between $110,000 and $160,000 annually, depending on your experience level, technical expertise, and the company’s size and industry. Senior engineers or those with specialized domain knowledge (e.g., NLP, computer vision, or MLOps) may command salaries on the higher end of this range or beyond.

2. Performance-Based Bonuses

Most companies offer annual bonuses tied to individual performance, project success, and company growth. These bonuses typically range from 10% to 20% of the base salary and are designed to reward engineers who consistently deliver high-impact solutions.

3. Stock Options & Equity Grants

Many tech companies, startups, and enterprises offer equity-based incentives to align long-term interests. Depending on the company’s structure and funding stage, this could include stock options, RSUs (Restricted Stock Units), or performance shares. Equity offerings can significantly boost your total compensation, particularly in high-growth or publicly traded firms.

4. Benefits Package

AI/ML engineers typically receive a comprehensive benefits package that includes:

Health, dental, and vision insurance
401(k) plans with company match
Paid time off (PTO) and holidays
Professional development stipends
Access to conferences and certifications
Flexible work schedules and remote work options
Employee wellness and mental health support programs

5. Signing Bonuses & Relocation Support

To attract top AI talent, companies may offer signing bonuses ranging from $5,000 to $20,000. For candidates relocating to Atlanta, relocation assistance may also be provided to ease the transition.

Total Compensation Potential

When combining base salary, performance bonuses, equity, and benefits, the total compensation package for an AI and ML Software Engineer can range from $130,000 to $200,000+ annually, with higher earnings possible based on experience and company performance.

How to Apply

If you are a results-driven software engineer with a passion for artificial intelligence and machine learning, we invite you to apply for the AI and ML Software Engineer role in Atlanta, GA. This is a rare opportunity to work on high-impact AI initiatives, build intelligent systems, and shape the future of data-driven innovation.

To apply, please submit your resume along with a cover letter that highlights your experience in developing and deploying machine learning models, building data pipelines, working with cloud-based AI platforms, and solving complex problems using intelligent algorithms. Be sure to showcase your technical skills, your ability to collaborate across teams, and any notable projects or innovations you’ve contributed to in the AI/ML space.

This role offers a dynamic and fast-paced environment where you’ll be empowered to lead projects, experiment with cutting-edge technologies, and build AI solutions that make a difference. Apply today to take the next big step in your software engineering career as an AI and ML Software Engineer in Atlanta, GA!

For more information or to discover similar opportunities in AI, data science, and software engineering, visit our AI & ML Engineer Recruiters Page.

Job Category: AI & ML Engineer

Job Type: Full Time

Job Location: Atlanta

AI and ML Software Engineer job in Atlanta, GA