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Remote Python Developer Graduate Jobs in Missouri

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... Python or Scala code for complex transformations and data processing Support Power BI and analytics ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... Python or Scala code for complex transformations and data processing • Support Power BI and ...

$38.50 - $49.75/hr

Strong programming skills, preferably in Python, with the ability and willingness to build robust ... Fully remote-first working model * Flexible working hours (core hours 10am-3pm local time)

This is a remote position, which requires regular travel to client sites Monday - Friday. We ... Strong knowledge of one or more programming languages such as JAVA, C++, C, C#, Objective-C, Python ...

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... into Data Engineering. What the client is really looking for: * Advanced SQL + Python (core ...

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Remote Python Developer Graduate information

What is the difference between Remote Python Developer Graduate vs Remote Data Analyst Graduate?

AspectRemote Python Developer GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Statistics, Mathematics, or related field, data analysis skills
Work EnvironmentTech companies, startups, software development teamsBusiness, finance, marketing departments, data-driven organizations
Industry UsageSoftware development, tech industry, IT servicesFinance, marketing, consulting, healthcare
Common Search/ComparisonYesYes

Remote Python Developer Graduates typically focus on coding, software development, and programming in Python, often working in tech companies. Remote Data Analyst Graduates analyze data, create reports, and support decision-making in various industries. While both roles require analytical skills and a bachelor's degree, Python developers emphasize coding skills, whereas data analysts focus on data interpretation. The choice depends on your interest in programming versus data analysis.

What are the key skills and qualifications needed to thrive as a Remote Python Developer Graduate, and why are they important?

To thrive as a Remote Python Developer Graduate, you need a solid understanding of Python programming, basic software engineering principles, and ideally a relevant degree or certification. Familiarity with version control systems like Git, development environments such as PyCharm or VS Code, and frameworks like Django or Flask is typically expected. Strong problem-solving skills, self-motivation, and effective written communication are crucial soft skills for remote collaboration. These skills ensure the ability to deliver high-quality code independently, adapt to remote team workflows, and contribute effectively to software projects.

What are the common challenges faced by Remote Python Developer Graduates when starting their careers, and how can they overcome them?

As a Remote Python Developer Graduate, you may encounter challenges such as effective communication across different time zones, managing your workload independently, and bridging the gap between academic knowledge and real-world coding practices. To overcome these, it’s important to proactively participate in team meetings, regularly seek feedback from mentors, and leverage collaborative tools like version control and project management software. Additionally, dedicating time to continuous learning and real-world coding exercises can help you quickly adapt to industry standards and expectations.

What is a Remote Python Developer Graduate?

A Remote Python Developer Graduate is an entry-level software developer who specializes in programming with Python and works remotely, often from home or another location outside a traditional office. These graduates typically have recently completed a degree or coursework in computer science or a related field and are beginning their careers in software development. Their responsibilities usually include writing and testing Python code, collaborating with teams online, fixing bugs, and learning new technologies and best practices. Remote work enables them to contribute to projects from anywhere, requiring good communication and self-management skills.
What are popular job titles related to Remote Python Developer Graduate jobs in Missouri? For Remote Python Developer Graduate jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Python Developer Graduate jobs in Missouri look for? The top searched job categories for Remote Python Developer Graduate jobs in Missouri are:
What cities in Missouri are hiring for Remote Python Developer Graduate jobs? Cities in Missouri with the most Remote Python Developer Graduate job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kansas City, MO • Remote

Other

Posted 27 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.