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Remote Walmart Data Science Jobs in New Mexico (NOW HIRING)

Band Level 5 Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer ... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Band Level 5 Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer ... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ...

Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer-facing, non ... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$78K - $101K/yr

Fully remote Position Summary The Sr. Business Analyst plays a key role in supporting contracts ... Targeting individuals with a degree in analytics, business, data science, finance or a related ...

Showing results 21-40

Remote Walmart Data Science information

What is the difference between Remote Walmart Data Science vs Remote Walmart Data Analysis?

AspectRemote Walmart Data ScienceRemote Walmart Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; experience with machine learningDegree in Data Analysis, Business, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative remote teams focusing on predictive modeling and advanced analyticsRemote environment emphasizing reporting, data visualization, and descriptive analysis
Employer & Industry UsageUsed across Walmart for strategic insights and product recommendationsUtilized for operational reporting and business performance tracking

Remote Walmart Data Science involves developing predictive models and advanced analytics, requiring programming and statistical expertise. In contrast, Remote Walmart Data Analysis focuses on interpreting data through reports and visualizations, often with less emphasis on coding. Both roles support Walmart's data-driven decision-making but differ in technical complexity and focus.

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For Remote Walmart Data Science jobs in New Mexico, the most frequently searched job titles are:

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What cities in New Mexico are hiring for Remote Walmart Data Science jobs?

Cities in New Mexico with the most Remote Walmart Data Science job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Las Cruces, NM • Remote

Full-time

Re-posted 14 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.