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Home Based Remote Algorithms Engineer Jobs in Kansas

Remote Customer Service Agent

Manhattan, KS ยท Remote

$13.75 - $18.25/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Kansas City, KS ยท Remote

$15 - $20/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Olathe, KS ยท Remote

$15 - $20/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Topeka, KS ยท Remote

$14.50 - $19.50/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Lawrence, KS ยท Remote

$14.50 - $19.50/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Shawnee, KS ยท Remote

$14.75 - $19.75/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Overland Park, KS ยท Remote

$15.25 - $20.50/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Wichita, KS ยท Remote

$13.75 - $18.50/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

$158K - $269K/yr

... algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

... Engineers to deploy and integrate algorithms into live systems. * Drive the prototyping and ... based on data-driven insights. What you'll bring to the table: * 3+ years of industry experience

... advanced algorithms, robust data infrastructure, and real-time decisioning. Watch our talk at ... StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ...

Senior AI/ML Engineer

Topeka, KS ยท On-site +1

$98K - $135K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Strong fundamentals in object-oriented design and design patterns , data structures , algorithms ...

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Home Based Remote Algorithms Engineer information

What are Home Based Remote Algorithms Engineers?

Home Based Remote Algorithms Engineers are professionals who design, develop, and optimize algorithms while working remotely from their home or any other location outside a traditional office. Their work often involves solving complex computational problems, improving software efficiency, and applying mathematical models to real-world challenges. They may work in industries like technology, finance, healthcare, or artificial intelligence, collaborating with teams online and using various programming languages. This role requires strong analytical skills, proficiency in programming, and the ability to communicate technical concepts effectively in a remote environment.

What are some common challenges faced by Home Based Remote Algorithms Engineers, and how can they be effectively managed?

Home Based Remote Algorithms Engineers often face challenges such as limited real-time collaboration, managing complex projects independently, and maintaining clear communication with distributed teams. To overcome these obstacles, it is important to leverage collaboration tools (like Slack or GitHub), set regular check-ins with team members, and establish clear documentation practices. Proactively seeking feedback and participating in virtual code reviews also helps maintain alignment and ensures code quality while working remotely.

What is the difference between Home Based Remote Algorithms Engineer vs Data Scientist?

AspectHome Based Remote Algorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Math, or related field; experience with algorithms and programmingBachelor's or Master's in Data Science, Statistics, or related field; proficiency in analytics tools
Work EnvironmentRemote, project-based, focused on algorithm developmentRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, software development companiesTech, finance, healthcare, marketing

Home Based Remote Algorithms Engineers focus on designing and optimizing algorithms, often requiring programming and mathematical skills. Data Scientists analyze data to extract insights, using statistical and machine learning techniques. While both roles can be remote and require similar educational backgrounds, their core responsibilities differ: algorithms engineers develop solutions, whereas data scientists interpret data.

What are the key skills and qualifications needed to thrive as a Home Based Remote Algorithms Engineer, and why are they important?

To thrive as a Home Based Remote Algorithms Engineer, you need a deep understanding of mathematics, computer science fundamentals, and experience in algorithm design, often backed by a relevant degree. Proficiency with programming languages such as Python or C++, version control systems like Git, and familiarity with cloud-based collaboration tools are typically required. Strong problem-solving skills, self-motivation, and effective written communication are critical for remote teamwork and independent project delivery. These competencies ensure you can develop efficient algorithms, collaborate remotely, and meet project goals in a distributed work environment.
What are popular job titles related to Home Based Remote Algorithms Engineer jobs in Kansas? For Home Based Remote Algorithms Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Home Based Remote Algorithms Engineer jobs in Kansas look for? The top searched job categories for Home Based Remote Algorithms Engineer jobs in Kansas are:
What cities in Kansas are hiring for Home Based Remote Algorithms Engineer jobs? Cities in Kansas with the most Home Based Remote Algorithms Engineer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kansas City, KS โ€ข 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

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.