NOTE 1: Client does not work with visa candidates at this time.NOTE 2: Payment terms are NET35. GenAI/LLM Engineer (NLP, TensorFlow, PyTorch SME) San Francisco, Bay Area, CA Duration: Six months may extend to 12 months Must be in the Greater Bay area or in California Implementing GenAI requires specialized expertise in large language models. Traditional data scientists often haven't had the opportunity to dive deep into the practical intricacies of LLMs particularly advanced fine-tuning techniqu

We currently have 3 openings for the AI Engineer position 2 for AI Engineers and 1 for a Lead AI Engineer. Note: For the Lead AI Engineer role, we are specifically looking for someone with a PhD background. Job Title: Lead AI Engineer Video & Multimodal AI Location: USA-Remote Experience Level: 10+ Years About the Role: We are hiring a AI Engineer to spearhead the design, fine-tuning, and scalable deployment of cutting-edge AI systems, with a focus on deep learning, video intelligence, and mult

GenAI/LLM Engineer Remote (should be able to work on PST time zones) Prefers local to bay area. Implementing GenAI requires specialized expertise in large language models. Traditional data scientists often haven't had the opportunity to dive deep into the practical intricacies of LLMs-particularly advanced fine-tuning techniques, model compression strategies, memory optimization approaches, and specialized training workflows. This role requires a hands-on deep learning practitioner comfortabl

Job Title: Google Cloud Platform Cloud Architect - Technical Architect Location: Springfield, MO Onsite Duration: Longterm About Us: We are a leading technology solutions provider, committed to delivering innovative and scalable cloud solutions. We are looking for a highly skilled and experienced Google Cloud Platform Architect to join our team and lead our cloud foundation build, on-premises Google Cloud Platform migration, and Vertex AI implementation projects. Responsibilities: Design and imp

Our client seeks an AI.ML Architect for a Full Time project in Alpharetta, GA / Dallas TX / New Jersey, NJ . Below is the detailed requirement Title: AI/ML Architect Location : Alpharetta, GA / Dallas TX / New Jersey, NJ Duration: Full Time Job Description: Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience Proven experience as an AI Architect or in a similar role, with

About R Systems: R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing

Key Responsibilities: Serve as a member of the factory software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments. Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc. Work closely with partners in production, process, controls, quality, etc. to build soluti

This is an Open Competitive Opportunity The Office of Information Technology Services (OITS) is seeking an experienced and forward-thinking AI Enterprise Applications Supervisor to lead enterprise-level AI initiatives and supervise a team of AI engineers. This role requires a strategic and hands-on leader with a strong understanding of AI and ML technologies, implementation practices, and enterprise integration. The ideal candidate excels at converting system requirements and specifications int

Title: Java with Gen AI Location: Irving, TX (Hybrid) The Role Responsibilities: Design, develop, and maintain scalable Java backend applications, ensuring high performance and responsiveness. Implement Generative AI solutions, including natural language processing (NLP) and machine learning algorithms, to enhance business functionalities. Collaborate with data scientists and other stakeholders to integrate AI models into existing systems and applications. Analyze and optimize performance of AI-

Position: Data Scientist C2H - Remote on contract Once hired Fulltime, would have to relocate to Bentonville Project Overview: Time series forecasting project. This project involves developing and training deep learning modules, with a focus on optimizing multi-GPU usage to reduce costs. You will collaborate with 6-8 stakeholders and work alongside a team with a strong background in statistical machine learning. The manager, who has expertise in computer vision, is seeking a candidate with

Title- AI/ML Engineer Location- Arlington, Texas- USA (Day 1 Onsite) Type- Full-Time/Direct Hire Key Responsibilities AI Model Development: Design, develop, and deploy machine learning models and AI solutions to solve complex problems. Data Analysis and Preprocessing: Collect, preprocess, and analyze large datasets to train and evaluate AI models. Performance Monitoring: Monitor the performance of AI models, troubleshoot issues, and optimize algorithms for efficiency and accuracy. Collaboration

Implementing GenAI requires specialized expertise in large language models. Traditional data scientists often haven't had the opportunity to dive deep into the practical intricacies of LLMs particularly advanced fine-tuning techniques, model compression strategies, memory optimization approaches, and specialized training workflows. This role requires a hands-on deep learning practitioner comfortable with modern frameworks and libraries specific to LLM development. Enables domain-specific fine-tu

Job Title: Gen AI Architect Work Model: Onsite Exp: 10+ years only Location: Phoenix AZ Job Description: Technical Expertise: Strong programming skills in Java and familiarity with API-driven backend development. Experience with AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, or equivalent. Proficiency in building and deploying applications on OpenShift or other container orchestration platforms. Generative AI Experience: Proven experience in designing and deploying generative AI sol

Title: QA Automation Engineer with AI/ML Location: Jersey City, NJ (5 Days onsite Local preferred) Contract Job Description: Experience in QA Engineering, AI/ML, and automation frameworks.Proven experience in Designing and implementing AI-based test automation frameworks.NLP, LLMs (e.g., GPT-4, BERT), and data annotation techniques.Tools such as TensorFlow, PyTorch, Hugging Face, or equivalent.Strong programming background: Python, Java, or Scala.Experience with test automation tools like Seleni

Job Summary: We are seeking an experienced Senior Engineer, Analytics with a focus on Machine Learning to join our team. As a Senior Engineer, you will play a key role in designing, building, and maintaining our machine learning infrastructure. You will work closely with our data scientists, product managers, and other engineers to develop and deploy scalable, efficient, and reliable machine learning models. Responsibilities: Design, develop, and manage robust machine learning infrastructure on

Key Responsibilities: Model Development: Design and develop algorithms for generative models using deep learning techniques. Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems. Research: Stay updated on the latest advancements in generative AI technologies and methodologies. Optimization: Fine-tune models for performance and efficiency. Troubleshooting: Address and resolve issues related to generative AI models and implementations. Doc

Deep Learning & NLP: Proficiency with PyTorch/TensorFlow, Hugging Face Transformers, DSPy, and advanced LLM training techniquesGPU/Hardware Knowledge: Experience with multi-GPU training, memory optimization, and parallelization strategiesLLMOps: Familiarity with workflows for maintaining LLM-based applications in production and monitoring model performanceDomain Adaptation: Skills in creating data pipelines for fine-tuning models with utility-specific content

Job Location: 100% Remote (USA) Job Summary: We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skil

Job Title - AI/ML Architect Location - Alpharetta, GA / Dallas TX / New Jersey (Need local) Mode:- Full Time Key Responsibilities: Design and architect AI solutions that align with business goals and industry trends.Collaborate with data scientists, engineers, and stakeholders to define projectobjectives and success metrics.Evaluate and select appropriate AI tools and frameworks to support development.Develop and optimize AI models, ensuring high accuracy and functionality.Integrate AI solutions

About GSPANN Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a