NLP

NLP Engineer Jobs

50 jobs found

Today

AI Engineer

Falcon Multi services Houston, TX

Houston, TX

Today

$120k+/yr Full time Ai Ml Artificial Intelligence Azure

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Job Description

This AI Engineer position supports an innovative team in developing advanced AI solutions. The role is based in Houston, TX and requires in-person work.

Role Overview

Falcon Multi services is hiring an AI Engineer to design and implement machine learning and AI capabilities. The position focuses on practical development across modern AI frameworks and model-building approaches, including work related to Large Language Models (LLMs) and core AI domains.

Location and Work Type

Location: Houston, TX, USA
Work location: In person

Salary

Compensation: USD 120,000 per year (from $120,000.00 per year)

Key Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
3+ years of experience in AI and Machine Learning development
Strong proficiency in Python
Experience with TensorFlow, PyTorch, Scikit-learn, and Large Language Models (LLMs)
Knowledge of NLP, Computer Vision, or Generative AI
Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus
Excellent problem-solving and communication skills

Technical Skills and Tools

Python
TensorFlow
PyTorch
Scikit-learn
Large Language Models (LLMs)
NLP
Computer Vision
Generative AI
AWS
Azure
Google Cloud

How to Apply

Submit your application using this link: https://lnkd.in/dSMqRB8Y.

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Today

Senior AI Engineer

Mapgenesys South Barrington, IL 🇺🇸 Remote

South Barrington, IL

Today

$31k - $47k/yr Full time Ai Engineer Artificial Intelligence Big Data

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Job Description

Mapgenesys is seeking a Senior AI Engineer to lead the development and deployment of AI solutions across varied data environments. The position emphasizes scalable machine learning, natural language processing, generative AI, and big data systems to transform complex datasets into practical insights.

Responsibilities

Design, develop, and optimize scalable AI models using TensorFlow and machine learning cloud services to support complex business needs.
Lead end-to-end model training, evaluation, and deployment to maintain robustness, accuracy, and efficiency across diverse platforms.
Apply advanced natural language processing and generative AI techniques to improve data-driven applications.
Operate and extend large-scale big data systems using Hadoop, Spark, and SQL for data mining, ETL workflows, and analytics.
Partner with cross-functional teams to architect database designs and data pipelines that enable scalable AI initiatives.
Perform statistical analysis for research and validation using R and SAS to guide model development decisions.
Develop automation scripts using Bash (Unix shell) or VBA to streamline data processing and improve operational workflows.
Evaluate AI models using rigorous statistical analysis tooling and model evaluation metrics to ensure high performance.
Integrate machine learning and AI-based analytics into existing enterprise systems while maintaining scalability and reliability.
Monitor emerging trends in quantum engineering, big data analytics, and machine learning frameworks to strengthen technical approaches.

Requirements

Proven experience building AI models with a strong foundation in machine learning frameworks such as TensorFlow or comparable platforms.
Extensive hands-on experience with big data platforms, including Hadoop, Spark implementation, and SQL databases for large-scale analytics.
Demonstrated expertise in statistical modeling and statistical analysis tools such as R and SAS, including predictive modeling for research or business use.
Strong programming skills in Python, Java, C, or Bash (Unix shell), with experience supporting model training, deployment, and automation.
Familiarity with cloud-based AI services, including AWS or other cloud platforms, for scalable model implementation.
Experience applying natural language processing techniques and generative AI models for innovative applications.
Knowledge of database design principles and experience with ETL processes using Talend or similar tools to support reliable data pipelines.
Ability to communicate complex technical concepts across teams while managing multiple projects at the same time.

Technologies

TensorFlow
Hadoop
Spark
SQL
R
SAS
Bash (Unix shell)
VBA
Python
Java
C
AWS
Talend

Compensation

Pay: $31,347.96 - $47,021.94 per year

Work Location

Location: South Barrington, IL (remote)

Benefits

Flexible schedule
Referral program
Retirement plan

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2d ago

Generative AI Engineer

Vforce Infotech Edison, NJ

Edison, NJ

2d ago

$60k - $80k/yr Full time Artificial Intelligence Big Data Bigdata

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Job Description

Vforce Infotech is seeking a Generative AI Engineer based in Edison, NJ (onsite) to design and optimize generative AI systems end to end, including model development, evaluation, production deployment, and the big data pipelines that support large-scale training and analysis.

Role Focus

This position centers on building generative AI models and related big data workflows. The work includes training and testing models for accuracy and robustness, implementing scalable cloud-based training pipelines, and applying NLP techniques to support language understanding within generative AI applications.

Responsibilities

Design, develop, and refine generative AI models using frameworks such as TensorFlow and machine learning based analysis techniques.
Build scalable model training pipelines using AWS and machine learning cloud platforms to process large datasets efficiently.
Perform statistical modeling and analysis to support research objectives, with a focus on rigorous evaluation of model accuracy and robustness.
Develop data pipelines with ETL tools such as Talend and Hadoop to prepare big data for training and analysis while maintaining data quality and integrity.
Collaborate on database design and optimize SQL databases to support efficient data retrieval for training and deployment.
Deploy AI models to production environments, ensuring scalability, performance, and smooth integration with existing systems.
Apply natural language processing (NLP) methods for language understanding tasks within generative AI applications.
Use statistical analysis tools such as R and SAS to support predictive modeling analysis and statistical validation.
Implement model evaluation strategies using machine learning frameworks such as Spark to improve model accuracy and reliability.
Contribute to data mining strategies and big data systems using Hadoop, Spark, and other analytics tools to extract actionable insights from complex datasets.

Requirements

Proven experience developing and deploying generative AI models, with a strong background in machine learning frameworks such as TensorFlow or similar platforms.
Hands-on expertise with big data systems including Hadoop, Spark, and related technologies for large-scale processing.
Strong programming experience in Python, Java, C, VBA, Bash (Unix shell), with a focus on AI implementation and model training workflows.
Demonstrated proficiency with statistical analysis tools such as R or SAS for research insights and model validation.
Experience working with SQL databases, analytics platforms such as Looker or Talend, and cloud services such as AWS or other machine learning cloud services.
Knowledge of NLP, predictive modeling analysis, data mining techniques, and scalability considerations for AI solutions.
Familiarity with quantum engineering concepts is a plus but not required; a passion for innovative technology is essential.
Prior experience building scalable AI models that support natural language understanding or generative tasks is highly desirable.

Technologies

TensorFlow, AWS, Talend, Hadoop, SQL, NLP, R, SAS, Spark, Looker, Python, Java, C, VBA, Bash (Unix shell)

Compensation

USD 60,000 - 80,000 per year

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4d ago

AI Engineer

Orbis AI Mountain View, CA

Mountain View, CA

4d ago

$120k - $144k/yr Full time Artificial Intelligence Big Data Bigdata

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Job Description

Orbis AI is hiring an AI Engineer (onsite) to design, deploy, and optimize AI systems for business insights and improved operational efficiency.

Responsibilities

Design, develop, and deploy advanced AI models using machine learning frameworks including TensorFlow and Spark
Build scalable big data solutions with Hadoop, ETL pipelines, and SQL databases to manage large datasets efficiently
Apply statistical analysis and modeling to support research initiatives and predictive analytics projects
Create natural language processing applications and generative AI models to improve data understanding and automation
Partner with cross-functional teams to integrate AI models into production using cloud services such as AWS
Improve model training, evaluation, and deployment workflows to ensure scalability and performance across platforms
Use research validation and insight-generation tools including SAS and R
Maintain documentation covering AI development processes, model performance metrics, and deployment procedures

Requirements

Proven experience in machine learning/AI development, with strong expertise in statistical modeling and data mining
Hands-on coding and automation experience with Python, Java, C, SQL, and Bash (Unix shell)
Extensive knowledge of big data systems, including Hadoop, Spark implementation, Talend, and Looker
Familiarity with AWS or similar cloud-based machine learning services for training and deployment
Experience with NLP, generative AI models, and predictive modeling analysis
Strong understanding of database design principles and experience working with SQL databases for data storage and retrieval
Knowledge of quantum engineering or advanced analytics tools is a plus (not required)

Technologies

TensorFlow
Spark
Hadoop
ETL
SQL
AWS
SAS
R
Python
Java
C
Bash (Unix shell)
Talend
Looker
Natural language processing (NLP)
Generative AI models
Predictive modeling analysis

Location and Work Model

Mountain View, CA
Onsite (in person)

Compensation

USD 119,794 - 144,268 per year
$119,794.75 - $144,268.94 per year

Benefits

Relocation assistance

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4d ago

Machine Learning Engineer

UST Portland, OR

Portland, OR

4d ago

$82k - $123k/yr Full time Agent Orchestration Agentic Ai Agentic Ai Orchestration

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Job Description

UST is seeking a Machine Learning Engineer (ML Engineer II) to build and optimize multi-agent systems for real-world performance. This onsite role in Oregon focuses on taking agent workloads from application design through inference runtime behavior and down to accelerator hardware and middleware layers.

What you’ll do

Develop a multi-agent workload at the application level, then profile and optimize its execution all the way through the inference runtime, OMIX/middleware, compute runtime, Linux GPU driver, and accelerator hardware.
Improve key performance metrics including latency, throughput, tokens/sec, memory footprint, and accelerator utilization.
Select and tune models and inference engines based on agent workload characteristics, hardware capabilities, and performance requirements.

What you bring

Hands-on development experience with multi-agent workloads.
Experience with agent frameworks such as LangGraph/LangChain, AutoGen, and CrewAI.
Strong understanding of LLMs, SLMs, and multimodal models, including Transformer architecture, attention, tokenization, context windows, and KV cache concepts.
Hands-on experience selecting, evaluating, and deploying models for different agentic workload requirements.
Knowledge of model formats and optimization workflows, including ONNX, OpenVINO IR, safe tensors, and quantization (FP16, BF16, INT8, INT4).
Experience with inference engines and runtimes such as OpenVINO, ONNX Runtime, vLLM, llama.cpp, or TGI.
Understanding of prefill vs. decode, batching, continuous batching, speculative decoding, KV-cache management, and memory optimization.
Solid grasp of CPU/GPU execution, device placement, and heterogeneous inference.
Ability to benchmark and compare models, inference engines, and runtime configurations, then identify performance bottlenecks.
Knowledge of GPU memory, kernel execution, synchronization, device selection, and host/device data movement.
Familiarity with middleware and accelerator compute runtimes such as OMIX/OneAPI/SYCL, Level Zero, or OpenCL.
Python strength, plus working knowledge of C/C++.
Experience with Git/GitHub, Linux shell, and debugging tools.
Practical use of GitHub Copilot for development, debugging, and code generation.
Docker and container fundamentals.
Ability to benchmark and profile AI workloads.
Understanding of latency, throughput, tokens/sec, GPU utilization, memory bandwidth, and CPU/GPU bottlenecks, including identifying whether a performance issue comes from the agent, model, inference engine, runtime, or driver.

Core technologies

LangGraph, LangChain, AutoGen, CrewAI
Python, C/C++, Git, GitHub, GitHub Copilot
Docker
ONNX, Open VINO IR, safe tensors
FP16, BF16, INT8, INT4
Open VINO, ONNX Runtime, vLLM, llama.cpp, TGI
OMIX, OneAPI, SYCL, Level Zero, OpenCL

Role location

Oregon (onsite)

Compensation

$82,000 - $123,000 USD per year

Benefits

Full-time employees accrue a minimum of 10 days of paid vacation per year.
6 days of paid sick leave each year (pro-rated for new hires throughout the year).
10 paid holidays.
Eligible for paid bereavement leave and jury duty.
401(k) Retirement Plan with employer matching.
Medical, dental, and vision insurance for employees and dependents residing in the US.
Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits.
Regular employees may purchase additional voluntary short-term disability benefits.
Eligible to participate in a Health Savings Account (HSA).
Eligible to participate in a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses.

Additional skills

Agentic AI
Python
Linux
MCP3
RAG
Kubernetes

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5d ago

Lead AI Engineer

Tavant Technologies, Inc. Santa Clara, CA 🇺🇸 Remote

Santa Clara, CA

5d ago

$130k - $160k/yr Full time Manager Ai Engineer Ai Ml

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Job Description

Tavant Technologies, Inc. is hiring an AI Engineer (remote in Santa Clara, CA) to design, build, and deploy advanced AI solutions that strengthen product performance and services. This role emphasizes collaboration with data and cross-functional partners, continuous learning, and clear communication as you help bring new intelligence capabilities into real projects.

Responsibilities

Design, develop, and deploy AI models and algorithms to address complex business problems.
Partner with data engineers and stakeholders to gather and preprocess data for model training.
Test and validate AI models to support performance and reliability.
Stay current with the latest AI trends and technologies to continuously improve offerings.
Document processes and maintain clear communication with team members and management.
Work on AI-driven initiatives by designing and deploying models that improve operational efficiency.
Conduct research and track emerging AI and machine learning trends to contribute to innovative solutions.
Collaborate with stakeholders to gather requirements and define project scopes for AI integration.

Requirements

Strong programming skills in Python, Typescript, and Amazon Build Tool (ABT).
Knowledge of deep learning techniques and natural language processing (NLP).
Experience with cloud platforms such as AWS and containerization tools including Docker and Kubernetes.
Excellent problem-solving and analytical skills, with strong attention to detail.
Strong written and verbal communication skills for effective collaboration.
Proficiency in programming languages such as Python or Java, with experience using AI frameworks and libraries.
Ability to explain complex concepts to non-technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with a foundation in machine learning and statistical analysis.
Proven experience in a similar AI engineering role or relevant projects.

Team & Culture

You will join a team of data scientists, engineers, and domain experts focused on advancing AI capabilities. The environment supports knowledge sharing and continuous learning, including regular brainstorming sessions to improve the team’s effectiveness and productivity.

Salary & Location

USD 130,000 - 160,000 per yearly

Santa Clara, CA (remote)

Technologies

Python, Typescript, Amazon Build Tool (ABT), Deep learning, Natural language processing (NLP), AWS, Docker, Kubernetes, Java

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Relocation assistance
Vision insurance

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5d ago

AI Engineer

Standard Template Labs New York, NY

New York, NY

5d ago

$160k - $230k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

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Job Description

Standard Template Labs is seeking an AI Engineer in New York, NY (onsite) to design and deliver machine learning capabilities that power the intelligence layer of its ITSM platform. The work spans natural language understanding, knowledge extraction, workflow automation, and predictive insights derived from IT infrastructure data.

Role Overview

In this position, you will research, prototype, and productionize machine learning solutions tailored to ITSM use cases. Responsibilities include model development and optimization as well as building scalable training and inference pipelines that connect directly to the core platform. The role also involves hands-on experimentation with LLMs, embeddings, and retrieval-augmented generation (RAG) to support IT knowledge retrieval and workflow automation.

Key Responsibilities

Research, prototype, and productionize machine learning models for ITSM use cases such as ticket triage, incident prediction, workflow recommendations, and CMDB inference.
Build scalable training and inference pipelines that integrate into the core platform.
Experiment with LLMs, embeddings, and retrieval-augmented generation (RAG) for IT knowledge and workflow automation.
Collaborate with engineers and product managers to define AI-first platform features that differentiate the product.
Evaluate model performance, optimize for reliability, scalability, and cost-efficiency, and ensure dependable AI system behavior.
Stay current with advancements in machine learning, LLMs, and AI infrastructure, applying them pragmatically to the platform.

Required Qualifications

Bachelor’s or Master’s in Computer Science, AI/ML, or a related field; a PhD is a plus.
Strong software engineering fundamentals, with Python preferred, and experience using ML frameworks such as PyTorch or TensorFlow.
Experience with one or more areas: natural language processing (NLP), large language models (LLMs), information retrieval, graph ML, or time-series forecasting.
Understanding of modern MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.
Ability to work in a fast-paced startup environment with end-to-end ownership.
Bonus: experience applying AI in enterprise software or ITSM contexts.

Technologies

Python
PyTorch
TensorFlow
Natural language processing (NLP)
Large language models (LLMs)
Information retrieval
Graph ML
Time-series forecasting
MLOps
Embeddings
Retrieval-augmented generation (RAG)

Compensation and Location

Location: New York, NY (onsite)
Salary: USD 160,000 to 230,000 per year

Benefits and Working Model

Competitive compensation, equity, and benefits package
On-site work from the Flatiron District, Manhattan office, with the founding team in a supportive, collaborative setting
Team works on-site five days a week, and the location is easy to reach with plenty of public transportation options