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Nlp Computer Science Engineer Jobs (NOW HIRING)

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

Bachelor, Master's or PhD degree in computer science or another quantitative discipline * Experience in NLP, particularly LLMs * Proficient in Python, SQL and general software engineering principles ...

Bachelor, Master's or PhD degree in computer science or another quantitative discipline * Experience in NLP, particularly LLMs * Proficient in Python, SQL and general software engineering principles ...

Required : • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a ... with NLP, computer vision, or generative AI • Familiarity with MLOps tools (e.g., Docker ...

... NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ... Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business ...

Jobs / NLP Algorithm Engineer (Chinese speaking) NLP Algorithm Engineer (Chinese speaking ... Master's or PhD graduate or candidate in computer science or another quantitative discipline

Computer Science * Information Technology * Artificial Intelligence * Machine Learning * Data ... RAG * NLP * Computer Vision * Prompt Engineering * LangChain / LangGraph * Hugging Face * AWS ...

Showing results 21-40

Nlp Computer Science Engineer information

See salary details

$40.5K

$98.8K

$156.5K

How much do nlp computer science engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for nlp computer science engineer in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Nlp Computer Science Engineer jobs?

For Nlp Computer Science Engineer jobs, the most frequently searched job titles are:

Infographic showing various Nlp Computer Science Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

AI/ML Engineer

Dallas, TX • On-site

Winaxis
IT Services • 11 - 50 employees

$113K - $136K/yr

Full-time

Re-posted 23 days ago


Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)