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Remote Data Scientist Deep Learning Jobs in Texas

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement ... AI & Machine Learning Development: Design, train, and deploy predictive models (classification ...

Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement ... AI & Machine Learning Development: Design, train, and deploy predictive models (classification ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

Deep knowledge of data science methodologies and sampling strategies for deriving insights and ... 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

Deep knowledge of data science methodologies and sampling strategies for deriving insights and ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Remote Data Scientist Deep Learning information

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Deep Learning, and why are they important?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
What are the most commonly searched types of Data Scientist Deep Learning jobs in Texas? The most popular types of Data Scientist Deep Learning jobs in Texas are:
What cities in Texas are hiring for Remote Data Scientist Deep Learning jobs? Cities in Texas with the most Remote Data Scientist Deep Learning job openings:
Sr Data Scientist GenAI

Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site, Remote

$150K - $210K/yr

Full-time

Posted 8 days ago


Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)
Location: Dallas, TX
Roles & Responsibilities :
- Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production-ensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
- 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
- Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
- Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
- Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
- Experience working in production / deploying models (batch and streaming), working with MLOps practices.
- Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
- Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.
This position is temporarily remote.
Compensation: $150,000.00 - $210,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.