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Nlp Transformers Jobs (NOW HIRING)

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Data Scientist

Baltimore, MD · On-site

... NLP techniques using tools like NLTK, SpaCy, or Transformers. • Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks. • Perform data cleaning ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

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 ...

Cypress HCM

LLM Research Engineer

Mountain View, CA

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. * Explore advancements in transformer architectures, multi-modal ...

Cystems Logic

Sr Data Scientist

Renton, WA

... NLP/transformer/LLM techniques for text-based HR applications. Programming: production-capable Python coding (modular design, testing, packaging) experience with version control (Git) and ...

Knowtex

ML Scientist (Research)

San Francisco, CA · On-site

... NLP and/or speech recognition * Strong expertise in PyTorch or TensorFlow * Deep experience with transformer architectures and large language models * Proven ability to design and build production ...

Samaya AI

ML Research Intern

Mountain View, CA

A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP) * Proficiency in Python and deep learning frameworks such as PyTorch or Transformers ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

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 ...

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Nlp Transformers information

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How much do nlp transformers jobs pay per year?

As of Jun 9, 2026, the average yearly pay for nlp transformers in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are NLP Transformers?

NLP Transformers are a type of deep learning model designed to process and understand natural language data. Introduced in the paper 'Attention is All You Need', transformers use attention mechanisms to capture relationships between words in a sentence, regardless of their position. This architecture has become the foundation for many advanced language models, such as BERT and GPT. Transformers have significantly improved performance in tasks like translation, summarization, and question answering within natural language processing.

What are the key skills and qualifications needed to thrive as an NLP Transformers Engineer, and why are they important?

To thrive as an NLP Transformers Engineer, you need a strong background in machine learning, natural language processing, and proficiency in programming languages like Python, often supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like Hugging Face Transformers, as well as knowledge of cloud platforms, is essential. Strong problem-solving skills, collaboration, and effective communication set exceptional candidates apart in this role. These skills and qualities are crucial for developing, optimizing, and deploying cutting-edge NLP solutions that drive business value.

What are the typical collaboration dynamics for NLP Transformers specialists within a development team?

NLP Transformers specialists often work closely with data scientists, machine learning engineers, and software developers to design, implement, and optimize transformer-based models for natural language processing tasks. Collaboration usually involves regular meetings to discuss project goals, data preprocessing strategies, model architecture, and evaluation metrics. Specialists may also coordinate with product managers or domain experts to ensure that models align with user needs and business objectives. Open communication and code reviews are common practices to maintain high-quality solutions and foster continuous learning within the team.
Infographic showing various Nlp Transformers job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 91% Full Time, 1% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr . AI Architect (AI/ML/NLP/Solutioning)

Futran Tech Solutions Pvt. Ltd.

Jersey City, NJ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role : Sr . AI Architect (AI/ML/NLP/Solutioning)
Location : NewJersey, NJ (Day 1 onsite)
Mandatory Skills
Machine learning algorithms, natural language processing.
AI platforms such as AWS, Azure, or Google Cloud.
Custom Entity Recognition, custom embeddings, transformer models like BERT, GPT, T5 etc.
ML frameworks like TensorFlow, PyTorch, Mx NET, Caffe and Keras.
Develop & deploy production grade NLP & ML models is a must
Job Description :
  • This job requires candidates to interface with customer and negotiate demands. As an AI Architect in a customer-facing role, candidate will be responsible for designing and implementing artificial intelligence solutions for customers, ensuring that they meet their business objectives and deliver tangible value.
  • Candidate should have a product mindset and need to work closely with customers to understand their requirements and Design/Architect and Develop solution that leverage AI technologies, such as machine learning, natural language processing, and computer vision.
  • Work closely with cross-functional teams, including product managers, data scientists, and engineers both offshore and onshore, to ensure that solutions are delivered on time and to the highest quality standards. The candidate should lay product roadmaps and represent team in onshore connects.
  • Candidate is expected to explore & implement latest technologies & algorithms wherever applicable. Responsibility also involves architecting AI Platform capabilities.

Responsibilities:
  • Collaborate with customers to understand their business needs and ideate/Design/Architect and develop AI solutions that meet their requirements.
  • Create and deliver presentations and demonstrations to customers, showcasing the benefits and value of AI solutions.
  • Provide technical leadership and guidance to cross-functional teams, including data scientists and engineers, to ensure that AI solutions are delivered on time and to the highest quality standards.
  • Work with product managers and engineers to integrate AI solutions into customer-facing products and services.
  • Stay up-to-date with the latest AI technologies and techniques, and share knowledge with internal and external stakeholders.
  • Actively engage with customers to identify new business opportunities and provide guidance on AI strategy and implementation.
  • Design and implement AI solutions, including machine learning models, natural language processing systems, and computer vision applications.
  • Develop data pipelines, feature engineering processes, and data validation processes to ensure high-quality inputs for AI models.

Skills : (Minimum 12+ years in IT )
  • Strong understanding of machine learning algorithms, natural language processing, and computer vision.
  • Proficient in programming languages such as Python
  • Experience with cloud-based AI platforms such as AWS, Azure, or Google Cloud.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Ability to work independently and as part of a cross-functional team.
  • Strong problem-solving and analytical skills.
  • Proven track record of delivering high-quality AI solutions to customers.
  • Strong customer focus and a passion for delivering value through AI solutions.
  • Strong experience of custom Entity Recognition, custom embeddings, transformer models like BERT, GPT, T5 etc.
  • Experience on Question Answering systems, text summarization, knowledge graphs is must
  • Hands on experience working on noisy text like OCR, Speech to Text, Scene text
  • Experience working on language detection, mix languages would be added advantage.
  • Should have created/worked on data labelling tools, frameworks, and strategies.
  • Hands-on experience using ML frameworks like Tensorflow, PyTorch, MxNET, Caffe and Keras.
  • Use of Spacy, NLTK, Gloves, RegEx etc is expected as well.
  • Experience to develop & deploy production grade NLP & ML models is a must.
  • Experience in Agile based development methodology.

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