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Remote Medical Machine Learning Jobs in Texas (NOW HIRING)

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Develop and deploy machine learning and generative AI solutions that support enterprise use cases.

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Data Scientist

Dallas, TX · On-site +1

$110K - $130K/yr

Role Overview We're seeking a Data Scientist with hands-on experience in machine learning ... Strong self-direction and communication skills suited for a remote work environment Nice to Have

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ...

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 ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

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Showing results 1-20

Remote Medical Machine Learning information

How can I make 2000 a week working from home?

Remote medical machine learning professionals can increase earnings by taking on multiple projects, specializing in high-demand skills like deep learning and data analysis, and working flexible hours. Building a strong portfolio, obtaining relevant certifications, and leveraging freelance platforms can also help reach higher weekly income targets.

Which 3 jobs will survive AI?

In the field of remote medical machine learning, roles such as data scientists, machine learning engineers, and clinical informaticists are likely to persist as AI tools augment rather than replace human expertise. These jobs require specialized knowledge, critical thinking, and collaboration with healthcare professionals, making them less susceptible to automation. Skills in programming, statistical analysis, and understanding medical data are essential for these roles to adapt to evolving AI technologies.

Will MLE be replaced by AI?

In the field of remote medical machine learning, MLE (Machine Learning Engineer) roles focus on developing and deploying AI models for healthcare applications. While AI automation can handle certain tasks, MLEs are essential for designing, validating, and maintaining complex models, making complete replacement unlikely in the near term. Continuous skills in programming, data analysis, and understanding medical data remain important for MLEs working with AI systems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.
What are the most commonly searched types of Medical Machine Learning jobs in Texas? The most popular types of Medical Machine Learning jobs in Texas are:
Senior AI/ML Engineer - Hybrid

Senior AI/ML Engineer - Hybrid

NTT DATA Services

Irving, TX • On-site, Remote

$87K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 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, fine‑tuning LLMs, shaping AI strategy, and guiding teams as we deliver high‑impact, data‑driven products. If you thrive in a fast‑moving environment and enjoy solving complex technical challenges, this is an opportunity to influence architecture, mentor others, and drive meaningful AI transformation.

 

Responsibilities

  • Design, fine‑tune, and optimize advanced AI/ML algorithms, including Generative AI, LLMs, and traditional machine learning models.
  • Derive data‑driven insights using supervised, unsupervised, reinforcement learning, and deep learning techniques.
  • Build scalable, secure, end‑to‑end ML pipelines for data ingestion, model training, evaluation, and real‑time 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 real‑world business use cases.
  • Provide technical leadership and mentorship to engineers working on Python development, model integration, and data sampling.
  • Collaborate with cross‑functional 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 Retrieval‑Augmented 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 hands‑on Python experience, including data manipulation with Pandas, NumPy, and scikit‑learn.
  • 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 scikit‑learn.
  • Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent cloud‑based AI services.
  • Strong understanding of NLP, Computer Vision, and vector databases (e.g., Pinecone, Weaviate).
  • Proficiency in prompt engineering techniques, including zero‑shot, few‑shot, and Chain‑of‑Thought 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, life and 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