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Ai Algorithm Engineer Jobs in Georgia (NOW HIRING)

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for ... Build algorithms for realtime decisionmaking using sensor, IoT, and industrial process data. * Data ...

New

The AI Observability Engineer will play a critical role in ensuring AI solutions align with ... algorithms, and evaluation metrics is crucial for effective monitoring. โ€ข Data pipelines and ...

Senior AI Engineer - SFL Scientific

Atlanta, GA ยท On-site

$100K - $138K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ... algorithm scalability and deployment based on agile business priorities and initiatives

H2O.ai is on a mission to democratize AI, and they are seeking a Senior Sales Engineer - AI to join ... AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms. โ€ข Proven experience ...

S. in Electrical Engineering, Applied Mathematics, Physics, or related discipline with 3-8+ years ... Experience with designing, implementing, testing, and analyzing ML/AI algorithms. * Strong ...

Senior Sales Engineer, Healthcare

Atlanta, GA ยท On-site

$100K - $138K/yr

About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this ... AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms. * Proven experience ...

Senior Sales Engineer, Healthcare

Atlanta, GA ยท On-site

$100K - $138K/yr

About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this ... AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms. * Proven experience ...

Generative AI Data Engineer III

Atlanta, GA ยท On-site

$110K - $132K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... algorithms, model selection, training/validation/optimization, and evaluation at scale * 1+ years ...

Generative AI Data Engineer III

Atlanta, GA

$110K - $132K/yr

... algorithms, model selection, training/validation/optimization, and evaluation at scale * 1+ years ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

Operations Research Engineer

Atlanta, GA ยท On-site

$66K - $90K/yr

... AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it ... Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain ...

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Ai Algorithm Engineer information

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Georgia? For Ai Algorithm Engineer jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Ai Algorithm Engineer jobs? Cities in Georgia with the most Ai Algorithm Engineer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Macon, GA โ€ข On-site

Other

Re-posted 19 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.