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Remote Environmental Software Engineer Jobs in Louisiana

Senior Solutions Engineer II

Harvey, LA ยท On-site +1

$145K - $185K/yr

Fully Remote, Working Business Hours Central Time Role Summary Seeking highly independent senior ... Design and deliver custom software solutions * Support sales activities, technical discovery ...

... cloud environment. We also specialize in helping organizations engineer secure clouds to meet ... Knowledge of the Software Development Lifecycle (SDLC) as it relates to Information Security and ...

... in a remote environment , and excellent communication skills to support projects from design ... Proficiency in AutoCAD, GIS, Microsoft Office, and OSP design software . * Excellent project ...

Senior Solutions Engineer

Harvey, LA ยท On-site +1

$115K - $150K/yr

Fully Remote, Working Business Hours Central Time Role Summary Seeking highly independent senior ... Design and deliver custom software solutions * Support sales activities, technical discovery ...

We are seeking candidates with strong software proficiency and experience in HR and payroll ... Collaborate with internal teams (Environment Specialists, R&D, and other analysts) to escalate and ...

We are seeking candidates with strong software proficiency and experience in HR and payroll ... Collaborate with internal teams (Environment Specialists, R&D, and other analysts) to escalate and ...

Our engineering team develops the software that powers our customer experience, manufacturing ... Experience using Git in a collaborative development environment. * Strong analytical ...

Showing results 21-40

Remote Environmental Software Engineer information

What are the key skills and qualifications needed to thrive as a remote environmental software engineer?

To thrive as a Remote Environmental Software Engineer, you need a solid background in computer science, environmental science, and programming languages such as Python, R, or Java, often supported by a relevant degree. Familiarity with GIS tools, environmental modeling software, cloud-based collaboration platforms, and possibly certifications like AWS or GIS Professional are typically required. Strong problem-solving, self-motivation, and effective communication skills help you navigate remote teamwork and complex environmental data challenges. These abilities are crucial for developing accurate, scalable solutions that address real-world environmental issues while collaborating efficiently from a distance.

How does collaborating with cross-functional teams typically work for a remote environmental software engineer?

As a Remote Environmental Software Engineer, collaboration with cross-functional teams is primarily facilitated through digital communication tools such as video conferencing, project management platforms, and shared documentation. You will often work closely with environmental scientists, data analysts, and other engineers to translate technical requirements into software solutions. Regular virtual meetings and asynchronous updates help ensure everyone stays aligned, and clear documentation is vital for effective teamwork. Adapting to different time zones and communication styles can be challenging but is essential for project success.

What is a remote environmental software engineer?

A Remote Environmental Software Engineer is a professional who develops and maintains software applications focused on solving environmental challenges, such as climate modeling, pollution tracking, or resource management. They work remotely, often collaborating with multidisciplinary teams from different locations. Their responsibilities typically include designing, coding, testing, and optimizing software tools that help organizations monitor and address environmental issues. This role requires strong programming skills, knowledge of environmental science, and the ability to work effectively in virtual environments.

What is the difference between Remote Environmental Software Engineer vs Remote Environmental Data Analyst?

AspectRemote Environmental Software EngineerRemote Environmental Data Analyst
Required CredentialsBachelor's in Software Engineering, Environmental Science, or related; coding skillsBachelor's in Environmental Science, Data Analysis, or related; statistical skills
Work EnvironmentDeveloping software solutions, coding, testing remotelyAnalyzing environmental data, creating reports remotely
Employer & Industry UsageTech companies, environmental agencies, NGOsResearch institutions, government agencies, consulting firms
Common Search & Comparison IntentUnderstanding software development roles in environmental sectorUnderstanding data analysis roles in environmental sector

The Remote Environmental Software Engineer focuses on developing and maintaining software tools for environmental applications, requiring coding and software development skills. In contrast, the Remote Environmental Data Analyst specializes in interpreting environmental data to inform decisions, emphasizing data analysis and reporting. Both roles are vital in environmental sectors but differ in their core responsibilities and skill sets.

What are popular job titles related to Remote Environmental Software Engineer jobs in Louisiana? For Remote Environmental Software Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Software Engineer jobs in Louisiana look for? The top searched job categories for Remote Environmental Software Engineer jobs in Louisiana are:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

New Orleans, LA โ€ข Remote

Full-time

Re-posted 16 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.