7,247 Nlp Engineer jobs in the United States

Job Responsibilities:

• Have experience in working in a product-oriented work operating model where design, product management, data science, and engineering work side-by-side in delivering products for customer services.
• Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Generate deep insights through the analysis of data and understanding of the bank's operations that are both external and internal facing and turn them into actionable recommendations.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.

• Undergraduate and advanced degrees in Computer Science with concentration in Artificial Intelligence, prefer training and work experience in NLP.
• Outstanding programming skillset across multiple programming languages on distributed compute.
• Critical to have - experience in programming distributed machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Can learn quickly programming in another programming language and seamlessly.

• Ph.D. in Computer Science with concentration in Artificial Intelligence, prefer training and work experience in NLP.
• Extensive experience with big-data environments (e.g. Hadoop, Spark) and code development experience on a cloud development platform.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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

Base Pay/Salary
New York,NY $164,350.00 - $260,000.00 / year

US CITIZENS & PERMANENT RESIDENTS ONLY

Excellent contract-to-hire job opportunity

Looking for a Sr. ML NLP Developer to join an Artificial Intelligence team. Join our Tech hub and work in a collaborative environment where talent is valued and creativity is encouraged.

Description:

• Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects.

• Learn new technologies and focus on what you're passionate about.

Qualifications ::

• 3+ years experience with Machine Learning and Natural Language Processing

• 4+ years experience with Python

• Experience with ML NLP & AI libraries.

• Experience with AWS services.

• Experience with SQL.

• Experience with NER and Search technology such BM25, BM42 is a plus

• Experience with Gen AI, Agentic AI , LLM training is a plus.

• BS in Computer Science or equivalent degree (MS in ML is preferred).

• Ability to work in an agile collaborative environment.

• Excellent communication skills are required.

Compensation: $68.00 - $78.00 per hour

History

Teklead Corporation is a national Information Technology Consulting company, successfully representing a wide spectrum of clients and their IT needs since 1990. Teklead is dedicated to providing the highest quality software development/support and IT staffing services , both onsite and offshore, using top-notch IT professionals. Having a deep understanding of the IT industry and taking advantage of our extensive network, we've been able to distinguish ourselves by meeting our client's needs and challenges. Our success and reputation are supported by long-lasting client relationships, exceptional customer service and commitment to providing excellent IT solutions.

With more than 25 years of experience, Teklead has expanded to reach a global-level and now has offices in North America (Los Angeles, CA, New York, NY, Dallas, TX), Europe (London, UK) and the Asia Pacific (Banglore, Karnataka, India) . As demand for IT - and more, specifically, high quality and cost effective ADM services - increases, Teklead plans to meet that demand. We are constantly looking to expand our operation through increased screening, hiring and IT training, in addition to expanding our delivery centers in North America and the Asia Pacific regions.

• Fine-tune and optimize large language models to improve user interactions.
• Implement and maintain API integrations for seamless communication with the model.
• Optimize model training processes to reduce time and cost.
• Manage and monitor cloud infrastructure (Google Cloud Platform) for compute and storage needs.
• Collaborate with stakeholders to refine user experience and system performance.

• Strong experience with machine learning models and fine-tuning large language models (LLMs).
• Proficiency with cloud platforms, particularly Google Cloud (Vertex AI, cloud compute, storage).
• Knowledge of AI/ML tools and frameworks, especially in natural language processing (NLP).
• Familiarity with API integrations and cloud resource management.
• Strong problem-solving skills and the ability to work independently.
• Effective communication skills for technical and non-technical team collaboration.
• Past experience building personalized AI systems would be helpful.
• Familiarity with cost optimization strategies for cloud-based AI services is a plus.

• Design, develop, train, and evaluate machine learning models, with a strong emphasis on Natural Language Processing (NLP) techniques.
• Implement and optimize algorithms for tasks such as text classification, sentiment analysis, topic modeling, question answering, and machine translation.
• Preprocess and clean large volumes of text data, preparing it for model training.
• Develop and maintain robust data pipelines for NLP model development and deployment.
• Collaborate with cross-functional teams to define project requirements and translate business needs into technical solutions.
• Deploy machine learning models into production environments, ensuring scalability and reliability.
• Monitor model performance in production and implement strategies for continuous improvement and retraining.
• Stay current with the latest research and advancements in NLP, machine learning, and artificial intelligence.
• Write high-quality, maintainable, and well-documented code in Python or other relevant languages.
• Contribute to the development of AI strategies and roadmaps.
• Present findings and model insights to technical and non-technical stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
• Proven experience (3+ years) in developing and deploying NLP models.
• Strong proficiency in Python and relevant ML/NLP libraries such as TensorFlow, PyTorch, Scikit-learn, NLTK, spaCy, or Hugging Face Transformers.
• Solid understanding of statistical modeling, machine learning algorithms, and deep learning architectures.
• Experience with data preprocessing, feature engineering, and model evaluation techniques for text data.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex concepts clearly.
• Experience with big data technologies (e.g., Spark) is advantageous.

• Design, develop, and implement advanced machine learning models and algorithms for NLP tasks, including text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
• Process, clean, and analyze large-scale text datasets to prepare them for model training.
• Build and optimize NLP pipelines for data ingestion, feature extraction, and model deployment.
• Experiment with various deep learning architectures (e.g., Transformers, RNNs, LSTMs) and traditional ML techniques for NLP.
• Fine-tune pre-trained language models (e.g., BERT, GPT variants) for specific applications.
• Develop and implement evaluation metrics and strategies to assess model performance.
• Collaborate closely with product managers, software engineers, and domain experts to understand requirements and deliver impactful solutions.
• Stay current with the latest research and advancements in NLP and machine learning.
• Write high-quality, maintainable, and well-documented code in Python.
• Deploy machine learning models into production environments, ensuring scalability and reliability.
• Contribute to the overall machine learning infrastructure and best practices.
• Mentor junior engineers and share knowledge within the team.
• Present research findings and project outcomes to technical and non-technical audiences.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
• 5+ years of hands-on experience in machine learning, with a strong specialization in NLP.
• Proven track record of developing and deploying NLP models in production.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, spaCy, Hugging Face Transformers.
• Deep understanding of NLP concepts, algorithms, and state-of-the-art techniques.
• Experience with distributed computing frameworks (e.g., Spark) and cloud platforms (AWS, Azure, GCP).
• Strong software engineering skills, including version control (Git) and CI/CD practices.
• Excellent analytical, problem-solving, and research skills.
• Ability to work independently and effectively in a remote team environment.
• Strong communication and collaboration skills.
• Experience with large language models (LLMs) is highly desirable.

• Developing and optimizing NLP models for tasks such as text classification, sentiment analysis, named entity recognition, question answering, and machine translation.
• Implementing state-of-the-art deep learning architectures (e.g., Transformers, LSTMs, CNNs) using frameworks like TensorFlow or PyTorch.
• Preprocessing and analyzing large volumes of text data, including data cleaning, tokenization, and feature extraction.
• Designing and conducting experiments to evaluate model performance and identify areas for improvement.
• Deploying and scaling ML models into production environments using cloud platforms and MLOps practices.
• Collaborating closely with product managers, software engineers, and data scientists to define project requirements and deliver impactful solutions.
• Staying up-to-date with the latest advancements in NLP research and applying them to real-world problems.
• Contributing to the team's knowledge base through code reviews, documentation, and knowledge sharing sessions.
• Mentoring junior engineers and fostering a culture of technical excellence.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field.
• 5+ years of professional experience in machine learning, with a strong focus on NLP.
• Proven experience in building and deploying production-ready NLP models.
• Deep understanding of NLP concepts, algorithms, and techniques.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
• Experience with cloud computing platforms (AWS, Azure, or GCP) and MLOps tools.
• Strong analytical and problem-solving skills, with the ability to work independently and effectively in a remote setting.
• Excellent communication and collaboration skills.
• Experience with distributed computing frameworks (e.g., Spark) is a plus.