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Remote Aws Machine Learning Jobs in Texas (NOW HIRING)

Senior ITSMA Observability Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Develop Machine Learning jobs to dynamically monitor and provide alerts based on specific metrics and KPIs * Build Elastic and AWS observability AI solutions that enable infrastructure engineering ...

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

AWS Partnership CTO

Austin, TX · Remote

$64.25 - $84.25/hr

Unlimited access to LinkedIn learning solutions * Matched 401(k) Retirement Savings Plan * Paid ... This Remote Position Cannot be Performed in New York City. In accordance with the LA County Fair ...

This is a remote role based in the United States. As a core member of our Managed Services Practice ... A genuine love of technology and continuous learning, particularly the latest services and best ...

Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform. * Experience in developing and maintaining APIs ...

Create predictive models and machine-learning algorithms * Modify and combine different models ... AWS,GCP,Azure), using DevOps tools and automating data pipelines * Good experience using business ...

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Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote AWS Machine Learning Engineer, and why are they important?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Texas? The most popular types of Aws Machine Learning jobs in Texas are:
What are popular job titles related to Remote Aws Machine Learning jobs in Texas? For Remote Aws Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Texas look for? The top searched job categories for Remote Aws Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Aws Machine Learning jobs? Cities in Texas with the most Remote Aws Machine Learning job openings:
Senior AI/ML Engineer - Hybrid

Senior AI/ML Engineer - Hybrid

NTT DATA Services

Irving, TX • On-site, Remote

$87K - $151K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 210 rated it services


Job description

Req ID: 371059 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior AI/ML Engineer - Hybrid to join our team in Irving, Texas (US-TX), United States (US).

Senior AI/ML Specialist

We are seeking a Senior AI/ML Specialist to lead the design, development, and deployment of advanced machine learning and generative AI solutions. In this role, you will work at the forefront of AI innovation-building scalable ML pipelines, finetuning LLMs, shaping AI strategy, and guiding teams as we deliver highimpact, datadriven products. If you thrive in a fastmoving environment and enjoy solving complex technical challenges, this is an opportunity to influence architecture, mentor others, and drive meaningful AI transformation.

 

Responsibilities

  • Design, finetune, and optimize advanced AI/ML algorithms, including Generative AI, LLMs, and traditional machine learning models.
  • Derive datadriven insights using supervised, unsupervised, reinforcement learning, and deep learning techniques.
  • Build scalable, secure, endtoend ML pipelines for data ingestion, model training, evaluation, and realtime inference.
  • Automate model deployment, monitoring, and drift detection across cloud platforms such as AWS, Azure, or Google Cloud.
  • Integrate processed datasets with generative AI models to support realworld business use cases.
  • Provide technical leadership and mentorship to engineers working on Python development, model integration, and data sampling.
  • Collaborate with crossfunctional teams including Product, Engineering, and Data Science to shape AI strategy and solution design.
  • Stay current with emerging AI technologies and implement innovations such as RetrievalAugmented Generation (RAG) and Agentic AI.
  • Ensure best practices in model governance, documentation, and reproducibility.

 

Qualifications & Requirements

  • 7+ years of overall experience in software engineering, data science, or machine learning.
  • 3+ years of handson Python experience, including data manipulation with Pandas, NumPy, and scikitlearn.
  • 2+ years of experience with machine learning frameworks such as TensorFlow and PyTorch.
  • 2+ years of experience working with frameworks like LangChain or LangGraph for LLM integration.
  • Expertise with ML and deep learning libraries such as PyTorch, TensorFlow, Keras, or scikitlearn.
  • Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent cloudbased AI services.
  • Strong understanding of NLP, Computer Vision, and vector databases (e.g., Pinecone, Weaviate).
  • Proficiency in prompt engineering techniques, including zeroshot, fewshot, and ChainofThought prompting.
  • Deep knowledge of data science methodologies and sampling strategies for deriving insights and building representative datasets.

Pay Transparency

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. 

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. 

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

 

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967