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Remote Data Science Internships Jobs in Perry, GA

Buckman

Sales Executive

Macon, GA · Remote

Remote Language: English Travel: 60-75% Buckman is a privately held, global specialty chemical ... data mining for issues as requested * Sales Executives should bring savings projects to the ...

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Remote Data Science Internships information

How much do Netflix data science interns make?

Netflix data science interns typically earn between $20 and $30 per hour, depending on location and experience. Internships often last 3 to 6 months and may include additional benefits such as stipends or housing support. Compensation can vary based on the company's internship program and market conditions.

Is 30 too late for data science?

Age is not a barrier to pursuing a data science internship or career. Many data scientists start at different ages, and skills such as programming, statistics, and machine learning can be developed at any age with dedication. Employers value skills and experience over age, so continuous learning and building a strong portfolio are key regardless of age.

Is it possible to get a remote internship?

Remote data science internships are widely available and often offered by companies seeking to hire interns who can work from any location. These internships typically require skills in programming, data analysis, and tools like Python or R, and may have specific application deadlines and eligibility criteria.

Can data science jobs be done remotely?

Many data science internships and jobs, including remote data science internships, can be performed remotely as they primarily involve analyzing data, coding, and using cloud-based tools. Employers increasingly offer remote options to access a wider talent pool and support flexible work arrangements, often requiring proficiency in programming languages like Python or R and familiarity with collaboration tools.

What is the difference between Remote Data Science Internships vs Remote Data Analyst Internships?

AspectRemote Data Science InternshipsRemote Data Analyst Internships
Required SkillsProgramming (Python, R), statistics, machine learningData visualization, SQL, basic statistics
Work EnvironmentCollaborative teams, research-focusedBusiness analysis, reporting
Industry UsageTech, finance, healthcareRetail, marketing, finance

Remote Data Science Internships focus on developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analyst Internships emphasize data interpretation, visualization, and reporting. Both roles are remote, but they serve different functions within organizations, with data science being more technical and analytical, while data analysis centers on business insights.

What cities near Perry, GA are hiring for Remote Data Science Internships jobs? Cities near Perry, GA with the most Remote Data Science Internships job openings:
Remote Data Science Internships jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Macon, GA • Remote

Other

Posted 20 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

​

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:

  • Bachelor’s or Master’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.

Apply