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Deep Learning Ai Jobs in Kansas (NOW HIRING)

Sr. AI Engineer

Overland Park, KS · On-site

$121K - $159K/yr

NVIDIA Deep Learning AI Certification: This certification demonstrates proficiency in designing and deploying deep learning AI applications, relevant for enhancing AI model performance in complex ...

$175K - $245K/yr

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

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Showing results 1-20

Deep Learning Ai information

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What is the main job of deep learning in AI?

The main job of deep learning in AI is to develop models that can automatically learn complex patterns and representations from large amounts of data, enabling tasks such as image recognition, natural language processing, and speech understanding. Deep learning engineers design, train, and optimize neural networks using tools like TensorFlow or PyTorch to improve AI system performance.

What are some common challenges faced by professionals working in Deep Learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the salary of AI and deep learning?

The salary for roles in AI and deep learning varies based on experience, location, and education, but typically ranges from $80,000 to over $150,000 annually for skilled professionals. Entry-level positions may start around $70,000, while senior roles or those requiring advanced skills in machine learning frameworks and programming languages can earn higher salaries.

What are the key skills and qualifications needed to thrive as a Deep Learning AI Engineer, and why are they important?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

Which 3 jobs will survive AI?

Deep Learning AI professionals will continue to find roles in research, model development, and AI ethics, as these areas require specialized expertise and human oversight. Jobs involving complex problem-solving, creativity, and emotional intelligence, such as AI research scientists, data scientists, and AI ethics specialists, are less likely to be fully automated. Skills in programming, data analysis, and understanding of AI frameworks will remain valuable in these roles.

What are Deep Learning AI professionals?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, and managing teams, with compensation reflecting the expertise and impact of the position.
What are popular job titles related to Deep Learning Ai jobs in Kansas? For Deep Learning Ai jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Deep Learning Ai jobs? Cities in Kansas with the most Deep Learning Ai job openings:
Infographic showing various Deep Learning Ai job openings in Kansas as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution.

Sr. AI Engineer

T-Mobile

Overland Park, KS • On-site

$121K - $159K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


T-Mobile rating

7.4

Company rating: 7.4 out of 10

Based on 645 frontline employees who took The Breakroom Quiz

53rd of 96 rated telecommunications companies


Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!
Are you ready to redefine the future of customer service with the power of AI?
We're looking for a Sr. AI Engineer to lead the evolution of T-Mobile's Agentic Next Best Action (ANBA) capabilities-powering intelligent, real-time decisioning and enabling the next best customer experiences at scale.
In this role, you will design and optimize agentic AI systems that determine and execute the most effective next action for each customer interaction, while shaping seamless, personalized experiences. Leveraging techniques such as prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and tool-integrated reasoning, you'll build AI that dynamically orchestrates workflows, invokes APIs, and adapts decisions based on context and intent.
You'll work across engineering, product, and business teams to embed ANBA-driven intelligence into production systems-delivering proactive, outcome-oriented experiences that improve customer satisfaction and business results.
This role is critical to advancing T-Mobile's AI capabilities from traditional automation to autonomous, decision-driven systems that continuously learn and optimize both actions and experiences.
We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting clarity in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today!
Responsibilities:
  • Optimize AI performance through prompt engineering and fine-tuning to enhance customer service automation.
  • Develop AI tools and workflows to support implementation of advanced AI systems within customer service operations.
  • Proficiency in Python and AI development frameworks for building scalable AI applications.
  • Architect sophisticated agentic AI systems to improve reasoning and interaction capabilities across complex workflows.
  • Collaborate with cross-functional teams to ensure seamless integration of AI-driven enhancements into production systems.
  • Evaluate the reliability, accuracy, and efficiency of AI models to ensure alignment with strategic objectives and customer satisfaction.
  • Conduct ongoing research to stay updated with the latest AI technologies and methodologies applicable to customer service.

Knowledge, Skills, and Abilities:
Required:
  • API Development - Python, REST APIs, OpenAPI/Swagger
  • Cloud Computing - AWS, Azure
  • Collaboration
  • Data Analysis
  • Data Management
  • Data Modeling
  • Prompt Engineering - OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini
  • Operational excellence practices and observability tools - Weights & Biases, Splunk, Datadog
  • Project management tools and agile methodologies - Jira, Azure DevOps
  • AI orchestration tools - LangChain, LlamaIndex, vector databases for retrieval augmented generation.

Education and Experience:
Required:
  • Bachelor's degree and 3+ years of related professional experience.
  • Master's degree (or higher) and 1+ year of related professional experience.
  • Equivalent combination of education, training, certifications, and professional experience.

Preferred:
  • Minimum 4 years professional experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt engineering and fine-tuning.
  • Minimum 4 years professional experience in architecting and deploying sophisticated agentic AI systems to enhance reasoning and interaction capabilities in complex workflows.
  • Minimum 4 years professional experience in collaborating with cross-functional teams to integrate AI-driven enhancements into production systems.

Certifications:
Preferred:
  • Certified Analytics Professional (CAP): Certification that endorses an individual's expertise in analytics, including the ability to transform complex data into valuable insights and actions, which is crucial for optimizing AI models in customer service automation.
  • NVIDIA Deep Learning AI Certification: This certification demonstrates proficiency in designing and deploying deep learning AI applications, relevant for enhancing AI model performance in complex systems like customer service workflows.
  • Certified Data Scientist (CDS): Certification that validates the skills required to analyze data scientifically and use it for operational improvements, which supports the development and optimization of AI tools and workflows.

  • At least 18 years of age
  • Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
***The pay range below is the "National Pay Range" and does not reflect the actual range for the locations listed. Please click on the link at the end of the second paragraph below to see the "actual" pay range for each location.
Base Pay Range: $133,100 - $240,100
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ362699&paradox=1
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

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