Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...
Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...
Data Domain Architect [Multiple Positions Available]
$61.75 - $79.50/hr
Work with Product Managers, ML Engineers, and Analytics by providing linguistic expertise and direction for new NLP capabilities including dialogue, ambiguity, and inference. Identify new testing ...
Data Domain Architect [Multiple Positions Available]
$61.75 - $79.50/hr
Work with Product Managers, ML Engineers, and Analytics by providing linguistic expertise and direction for new NLP capabilities including dialogue, ambiguity, and inference. Identify new testing ...
Principal Engineer - AI Platform
Wilmington, DE · On-site
$131K - $175K/yr
Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding of REST APIs, API Gateways and SPAs * Excellent problem-solving skills and ability to work in a ...
Principal Engineer - AI Platform
Wilmington, DE · On-site
$131K - $175K/yr
Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding of REST APIs, API Gateways and SPAs * Excellent problem-solving skills and ability to work in a ...
Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...
Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...
Principal Engineer - AI Platform
Wilmington, DE · On-site
$131K - $175K/yr
Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding of REST APIs, API Gateways and SPAs * Excellent problem-solving skills and ability to work in a ...
Principal Engineer - AI Platform
Wilmington, DE · On-site
$131K - $175K/yr
Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding of REST APIs, API Gateways and SPAs * Excellent problem-solving skills and ability to work in a ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
At least 1 year of experience with modern Intelligent Automation platforms (e.g., UiPath, Automation Anywhere, Blue Prism, python) and integrating cognitive API services (OCR, NLP, or Generative AI)
At least 1 year of experience with modern Intelligent Automation platforms (e.g., UiPath, Automation Anywhere, Blue Prism, python) and integrating cognitive API services (OCR, NLP, or Generative AI)
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries. * Search relevance and ranking - Improving search relevance by incorporating signals from various ...
Nlp information
See Delaware salary details
$37.5K - $52K
2% of jobs
$52K - $66.5K
3% of jobs
$66.5K - $80.9K
6% of jobs
$80.9K - $95.4K
9% of jobs
$100.1K is the 25th percentile. Wages below this are outliers.
$95.4K - $109.9K
15% of jobs
The median wage is $119.5K / yr.
$109.9K - $124.3K
22% of jobs
$132.3K is the 75th percentile. Wages above this are outliers.
$124.3K - $138.8K
32% of jobs
$138.8K - $153.3K
3% of jobs
$153.3K - $167.7K
4% of jobs
$167.7K - $182.2K
1% of jobs
$182.2K - $196.7K
2% of jobs
$37.5K
$122.8K
$196.7K
How much do nlp jobs pay per year?
What is an NLP?
An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.
What does an NLP specialist do?
NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.
What are the key skills and qualifications needed to thrive in the NLP position, and why are they important?
To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.
Is NLP a good career?
What jobs can you do with natural language processing?

Full-time
Medical, Retirement
Re-posted 28 days ago
JPMorgan Chase & Co. rating
8.0
Based on 493 frontline employees who took The Breakroom Quiz
73rd of 170 rated banks
Job description
This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.
As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.
Job responsibilities
- Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
- Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives.
- Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
- Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
- Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
- Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
- Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
- Communicate AI/ML capabilities and results to both technical and non-technical audiences.
- Build AI Agents and chatbot
- Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Required qualifications, capabilities, and skills
- Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
- 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
- Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
- Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
- Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph.
- Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization.
- Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures.
- Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
- Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
Preferred qualifications, capabilities, and skills
- Familiarity with the financial services industries.
- Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
- Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US