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Machine Learning Ai Developer Jobs in Dallas, PA

Monitor machine operations, observe cutting performance, and adjust as needed to maintain quality ... Proficiency in reading and interpreting blueprints, engineering drawings, sketches, and design data.

Leverage AI, machine learning, and automation tools to accelerate data collection, enhance signal detection, and improve forecasting accuracy. * Establish and maintain dashboards, KPI trackers, and ...

File correspondence and complete related clerical duties as needed Interested in learning more ... Review the Guidance for Generative AI Tools & Job Seekers for additional information.

New

INTERN - Recycling Plant

Hazleton, PA

$16.75 - $22/hr

Interested in learning about manufacturing equipment, maintenance practices, and how production ... around machinery under supervision. * Ability to follow verbal and written instructions, ask ...

INTERN - Recycling Plant

Hazleton, PA

$16.75 - $22/hr

Interested in learning about manufacturing equipment, maintenance practices, and how production ... around machinery under supervision. * Ability to follow verbal and written instructions, ask ...

Interested in learning about manufacturing equipment, maintenance practices, and how production ... around machinery under supervision. * Ability to follow verbal and written instructions, ask ...

We're committed to making a positive impact on the world, providing you with diverse learning and ... College degree in business or engineering, or related experience required. * Supervisory experience ...

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Machine Learning Ai Developer information

See Dallas, PA salary details

$9

$51

$70

How much do machine learning ai developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for machine learning ai developer in Dallas, PA is $51.71, according to ZipRecruiter salary data. Most workers in this role earn between $45.62 and $58.70 per hour, depending on experience, location, and employer.

How much do machine learning AI developers make?

Machine Learning AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries. Many positions also require proficiency in programming languages like Python and experience with frameworks such as TensorFlow or PyTorch.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve managing large teams or strategic projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What engineers make $500,000?

Senior machine learning and AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on business outcomes.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and AI system trainers. These jobs involve tasks that are difficult to automate fully and often require domain expertise, critical thinking, and ethical judgment. Continuous learning and staying updated with AI tools and frameworks are essential for long-term career resilience.
What job categories do people searching Machine Learning Ai Developer jobs in Dallas, PA look for? The top searched job categories for Machine Learning Ai Developer jobs in Dallas, PA are:
IVA and Digital Platform Developer

IVA and Digital Platform Developer

Astound

Wilkes Barre, PA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

A Day in the Life of the IVA and Digital Platform Developer:
  • Design and Development: Lead the end-to-end development of Interactive Virtual Assistant (IVA) Digital/chat solutions, including intent recognition, entity extraction, dialogue flow management, API Connections and sophisticated response generation, specifically focusing on building robust Conversational AI experiences.

  • Platform Expertise: Leverage and master IVA/Digital development platforms (e.g., Kore.ai, Google Dialogflow, Amazon Lex, Microsoft Bot Framework) to build, configure, train, and deploy high-performing conversational agents. Platforms are not limited to what is outlined.

  • System Integration: Integrate IVA/Digital seamlessly with API Connections to various backend systems, utilizing REST and SOAP Web Services for robust functionality, efficient data exchange, and a unified user experience across different platforms.

  • Natural Language Understanding (NLU) & Generation (NLG): Implement, fine-tune, and optimize NLU models to improve intent accuracy, entity recognition, and overall comprehension. Develop effective and natural-sounding NLG templates and strategies for engaging responses, potentially leveraging Small Language Models (SLMs) for specialized tasks.

  • Data Handling: Work with data formats like JSON and integrate with databases such as SQL / Oracle / Redis / MongoDB for efficient data storage and retrieval.

  • Development and organization of data, technology information and/or metrics to be delivered to audiences, including but not limited to upper management, team members, and vendor partners

  • UAT/QA Testing & Quality Assurance: Conduct rigorous testing, debugging, and performance tuning of IVA/Digital applications across various scenarios and channels. Identify and resolve complex issues, ensuring high availability and reliability.

  • Data Analysis & Continuous Improvement: Analyze conversation logs, user interactions, and feedback data to identify patterns, pain points, and opportunities for improvement. Proactively refine dialogue flows, add new intents, and enhance IVA capabilities based on data-driven insights.

  • Cross-functional Collaboration: Collaborate closely with product managers to translate business requirements into technical specifications and contribute to the product roadmap for our Conversational AI initiatives. Partner with UX/UI designers to ensure intuitive and user-friendly conversational interfaces. Work with data scientists to leverage advanced AI/ML models.

  • Research & Innovation: Stay up to date on the latest advancements, trends, and best practices in Conversational AI, NLP, machine learning, and related emerging technologies, including the application of SLMs and other innovative models. Research and recommend the adoption of new tools and techniques where beneficial to our IVA/Digital solutions.

  • Travel required up to 25%

  • Other duties as assigned


What You Bring to the Table:

  • Education: Bachelor's degree in Computer Science, Artificial Intelligence, Linguistics, Data Science, or a related quantitative field. Equivalent practical experience will also be considered.

  • Experience on a Conversational AI Platform.

  • Experience to Generative AI (Gen AI) and its concepts, specifically with conversational AI Products.

  • Experience to Natural Language

  • Experience with Node.js as a backend technology for chatbot development.

  • Experience with REST and SOAP Web Services

  • Experience in Design and Solution Architecture for creating chatbots & voicebots.

  • Minimum of 3+ years of professional experience in developing and deploying IVR/Digital, Voicebots, Chatbots, or Conversational AI solutions.

  • Strong knowledge of Web Services using REST and SOAP.

  • Strong expertise in Java, Python, and Node.js.

  • Proficiency in data formats, specifically JSON.

  • Experience with SQL databases and NoSQL such as Redis / MongoDB.

  • Solid theoretical and practical understanding of Natural Language Processing (NLP) and Natural Language Understanding (NLU) concepts, including intent classification, entity extraction, and dialogue management, within the context of Conversational AI.

  • Excellent analytical, critical thinking, and complex problem-solving skills with a meticulous attention to detail.

  • Strong verbal and written communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.

  • Proven ability to work effectively in a collaborative team environment.

  • Demonstrated experience working with Small Language Models (SLMs) for specific conversational tasks or optimizations.

  • Ability to travel up to 25%

We're Proud to Offer a Comprehensive Benefits Package Including:

  • 401k retirement plan, with employer match

  • Insurance options including: medical, dental, vision, life and STD insurance

  • Paid Time Off/Vacation: Starting at 80 hours per year, and increases based on tenure with the organization

  • Floating Holiday: 40 hours per year

  • Paid Holidays: 7 days per year

  • Paid Sick Leave: Astound allows a number of paid sick hours per calendar year and varies based on state and/or local laws

  • Tuition reimbursement program

  • Employee discount program

*Benefits listed above are for regular full-time position

Base Salary: The base salary range in Pennsylvania and Texas for this position is $70,000 - $80,000 (annually), plus opportunities for bonus, benefits and commission, if applicable. The base pay range represents the low and high end of the hiring range for this job. Actual pay will vary and may be above or below the range based on various factors including but not limited to relevant skills, experience, and capabilities. It is specific to Pennsylvania and Texas and may not be applicable to other locations.

Our Mission Statement:

* Take care of our customers

* Take care of each other

* Do what we say we are going to do

* Have fun

Astound is proud to be an Equal Opportunity Employer, and we are dedicated to cultivating an inclusive workplace where employees feel valued, respected, and empowered. Discrimination of any kind has no place here. We are committed to providing equal opportunities for all employees and applicants, regardless of race, color, religion, sex, gender, pregnancy, childbirth and related conditions, national origin, age, physical and mental disability, marital status, sexual orientation, genetic information, military or veteran status, citizenship, or other status or characteristic protected by applicable law. We strive to create a culture that celebrates our differences and promotes fairness and inclusivity in all aspects of our business.

About Astound:

Astound is a leading provider of internet, WiFi, mobile, and TV services, dedicated to connecting communities and empowering lives through innovative technology. We also keep businesses connected with dependable fiber infrastructure and internet solutions backed by award-winning service, helping organizations thrive in an increasingly connected world.

At the forefront of digital transformation, we continuously evolve our offerings to meet the dynamic needs of our customers-delivering reliable connectivity and groundbreaking digital experiences.

Our commitment to excellence extends beyond infrastructure. We invest in our people through personalized training, coaching, and a supportive work environment that fosters growth and opportunity. Employees are empowered to represent a superior telecommunications company while making a meaningful impact in the communities we serve.

We offer a robust benefits package that includes rewards, recognition programs, and employee discounts-ensuring our team members are supported in both their professional and personal journeys. At Astound, we believe in creating astounding possibilities for everyone, everywhere.