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<h3>Job Description</h3>
Role : AI Engineer
Location : Dallas, TX 
Type : Fulltime with Mastech 
 
<ul>
<li>Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI</li>
<li>Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization</li>
<li>Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows</li>
<li>Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.</li>
</ul>

Artificial Intelligence Engineer

<h3>Job Description</h3>
We’re seeking a skilled Cloud Engineer with strong AWS experience to design, build, and support modern cloud-based solutions in an Agile environment. In this role, you’ll work hands-on with serverless architecture, IaC using Terraform, integration technologies, CI/CD automation, and secure cloud deployments. 
 
You will collaborate across teams to deliver scalable solutions, provide production support, improve platform reliability, and contribute to ongoing cloud transformation initiatives. 
 
 
Responsibilities:
 
<ul>
<li>Develop, test, implement, and evaluate complex solutions in a collaborative Agile environment</li>
<li>Build and deploy software based on established requirements, providing input on system design and feasibility</li>
<li>Support and troubleshoot production environments, communicating effectively with stakeholders and recommending improvements in development and maintenance practices</li>
<li>Assist in designing infrastructure configurations and identify opportunities for process optimization</li>
<li>Review and implement complex patches, upgrades, and software packages, including code deployment</li>
<li>Create and maintain technical documentation (use cases, scripts, etc.), perform technical research, and stay current with emerging technologies</li>
<li>Collaborate in cross-functional initiatives and continuous improvement projects</li>
<li>Position may require extended hours, on-call participation, and occasional travel (up to 15%)</li>
</ul>
 
 
Qualifications:
 
<ul>
<li>Bachelor’s degree or equivalent experience</li>
<li>Hands-on experience with AWS Cloud (Serverless, Lambda, RDS, Storage, EC2, migration services), Infrastructure as Code using Terraform</li>
<li>Experience with Messaging and integration technologies including AWS API Gateway</li>
<li>Programming with NodeJS, Python or Java, and working with JSON/XML</li>
<li>DevSecOps &amp; CI/CD pipelines (GitLab/Jenkins)</li>
<li>Creating alerts, metrics, and monitoring dashboards.</li>
<li>Security fundamentals: IAM, Kerberos, authorization, encryption.</li>
<li>Experience with IBM ACE, WebSphere MQ, API-SG, MQ, MFT is a plus.</li>
<li>Experience working within Agile/Scrum teams.</li>
<li>Strong analytical and problem-solving skills with the ability to design innovative solutions aligned to business needs.</li>
<li>Excellent communication skills with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.</li>
<li>Solid understanding of modern programming concepts, design, implementation, and testing.</li>
<li>Customer-focused mindset with the ability to gather requirements, assess existing systems, and identify risks.</li>
</ul>

Lead integration Engineer

<h3>Job Description</h3>
We’re supporting a major global financial technology organization that’s making significant investments in AI innovation. They’re scaling their engineering teams across North America to drive development of next-generation Generative AI solutions. Multiple openings are available for engineers at varying levels — from early-career developers to senior leads and architects — across areas like AI platform engineering, chatbot development, and data engineering for AI-driven systems.
Why This Role
This is a chance to be part of a global enterprise that’s putting real resources behind AI strategy — building tools, platforms, and models that impact client experiences and internal productivity at scale. You’ll join a high-performing engineering group that’s delivering enterprise-grade AI capabilities across multiple business lines.
What You’ll Do
<ul>
<li>Build and enhance production-grade AI and LLM-based systems for enterprise applications.</li>
<li>Contribute to model fine-tuning, prompt optimization, and training workflows.</li>
<li>Develop APIs, microservices, and SDKs for internal and client-facing AI products.</li>
<li>Collaborate with engineering and data teams to operationalize AI solutions and support MLOps/LLMOps processes.</li>
<li>Partner cross-functionally to design and deliver reliable, scalable AI integrations.</li>
</ul>
What You Bring
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).</li>
<li>4+ years of hands-on Python development experience.</li>
<li>Strong understanding of Generative AI, LLMs, and related model architectures.</li>
<li>Experience working with NLP, model training, and fine-tuning workflows.</li>
<li>Solid grasp of Linux environments and modern DevOps practices.</li>
</ul>
Nice to Have (Highlight These on Your Resume)
<ul>
<li>Hands-on experience with frameworks like Flask, Django, or FastAPI.</li>
<li>Familiarity with Python libraries such as numpy, pandas, scikit-learn, matplotlib, or opencv.</li>
<li>Experience deploying AI solutions using cloud services like Azure OpenAI, AWS Bedrock, AWS Sagemaker, or Google Vertex AI.</li>
<li>Background in AI/ML lifecycle management — MLflow, Databricks, or Dataiku.</li>
<li>Understanding of MLOps or LLMOps principles.</li>
<li>Exposure to TensorFlow or PyTorch.</li>
<li>Experience integrating AI models into enterprise or regulated environments.</li>
<li>Familiarity with containerized cloud environments (Docker, Kubernetes).</li>
<li>Version control experience with GitHub or Bitbucket.</li>
<li>Bonus: experience working with conversational AI platforms (e.g., Copilot Studio, Kore.ai, Amelia).</li>
<li>Experience collaborating with software development teams to embed AI into core applications.</li>
</ul>
What’s In It for You
<ul>
<li>Join an organization that’s putting real investment behind AI and automation initiatives.</li>
<li>Work on cutting-edge technology in a large-scale, data-rich environment.</li>
<li>Collaborate with top-tier engineers and data scientists driving AI innovation in financial technology.</li>
<li>Opportunities for career growth across multiple teams and projects.</li>
</ul>

Lead Generative AI Engineer

<h3>Job Description</h3>
Lead Machine Learning Engineer – Generative AI for the Physical World
 
Overview
A rare opportunity has emerged for a visionary Lead Machine Learning Engineer to build the core intelligence for a stealth-mode, well-funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving beyond language and into the complex domain of 3D geometry and physics.
 
Why Join?
This is a chance to define a new category of software from the ground up. You will have the autonomy to set the technical vision, build a world-class team, and solve fundamental AI challenges that directly impact how next-generation products are designed and built. You will be instrumental in creating the "brain" that powers a revolutionary platform.
 
The Company
My client is a pioneering startup developing a new class of generative AI. Their platform uses autonomous agents to design, test, and optimize complex physical systems, aiming to radically accelerate today's slow and manual engineering cycles. Backed by top-tier investors, the company is positioned to become a leader in the application of AI to advanced hardware design and manufacturing.
 
The Role
As the Lead Machine Learning Engineer, you will architect the company's entire ML strategy. You will lead the research and development of the core models that allow AI agents to perceive and reason about 3D geometry. Your primary focus will be on defining the technical roadmap, hiring and mentoring a high-performing team, and guiding the development of novel techniques in geometric deep learning and multimodal reasoning.
 
The Essential Requirements
<ul>
<li>Proven experience leading machine learning teams, setting technical direction, and mentoring senior engineers.</li>
<li>Deep expertise in 3D perception, scene understanding, or geometric deep learning (e.g., from robotics, AV, AR/VR).</li>
<li>A strong track record of architecting and deploying complex ML systems from research to production.</li>
<li>Fluency with modern ML frameworks (e.g., PyTorch) and models for geometric data (GNNs, 3D CNNs, NeRFs).</li>
<li>Ability to translate ambiguous product goals into a concrete technical roadmap and execute effectively.</li>
</ul>
 
What Will Make You Stand Out
<ul>
<li>A PhD in a relevant field such as Computer Science or Robotics.</li>
<li>A background in mechanical, aerospace, or a related engineering discipline.</li>
<li>Experience integrating perception models with LLMs or other agent-based systems.</li>
<li>A history of publications in top-tier machine learning conferences.</li>
</ul>
 
Benefits
<ul>
<li>Up to $260,000 base</li>
<li>Meaningful equity</li>
<li>A key leadership role with the autonomy to shape the company’s technical culture and direction.</li>
<li>The opportunity to solve high-impact problems at the intersection of AI and engineering.</li>
</ul>
 
If you are interested in this role, please apply with your resume through this site.
 
SEO Keywords for Search
Head of Machine Learning, Head of AI, AI Lead, ML Lead, Principal ML Engineer, Machine Learning Manager, AI Research Lead, 3D Perception, Geometric Deep Learning, Computer Vision, GNN, Graph Neural Networks, 3D Transformers, NeRF, Point Clouds, CAD, Generative AI, Autonomous Agents, Robotics, PyTorch, MLOps, LLM, Reinforcement Learning, AI for Engineering, Simulation, Computational Geometry.
 
Disclaimer
Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Lead Machine Learning Engineer (Geometry/3D/Simulation)

<h3>Job Description</h3>
Job Details:
Job Title: IAM Engineer
Duration: Long Term Contract
Location: Alpharetta, GA || Onsite
 
Job Description:
<ul>
<li>We are seeking a Senior Identity and Access Management (IAM) Engineer with deep expertise in Ping Identity solutions and AWS architecture.</li>
<li>This role is a 50/50 mix of design and hands-on development, requiring someone who can lead complex IAM projects, guide the team, and execute independently.</li>
<li>The primary focus will be Customer Identity and Access Management (CIAM), integrating third-party and B2B applications using Ping as the core infrastructure.</li>
</ul>
Key Responsibilities
<ul>
<li>Design and build IAM solutions leveraging PingFederate, PingDirectory, and PingOne.</li>
<li>Implement OIDC/OAuth protocols and manage secure token exchange.</li>
<li>Develop and deploy complex AWS-based architectures, including Lambda, Kafka, OpenSearch, and Terraform for automation.</li>
<li>Onboard third-party and partner applications into CIAM systems.</li>
<li>Collaborate on PingOne DaVinci workflows and PingOne MFA integrations.</li>
<li>Ensure scalability, security, and monitoring of IAM systems using AWS-native tools.</li>
<li>Work independently to deliver solutions and provide technical leadership to the team.</li>
</ul>
 
Required Skills &amp; Experience
<ul>
<li>Strong hands-on experience with PingFederate, PingDirectory, and PingOne.</li>
<li>Familiarity with PingOne DaVinci, PingOne MFA, and risk-based solutions like PingOne Protect.</li>
<li>Expertise in AWS services (Lambda, Kafka, OpenSearch) and Terraform.</li>
<li>Deep understanding of OIDC/OAuth and token exchange mechanisms.</li>
<li>Experience with CIAM implementations and onboarding external apps.</li>
<li>Ability to design and build complex IAM solutions from scratch.</li>
<li>Excellent communication and problem-solving skills.</li>
</ul>
 
Nice-to-Have
<ul>
<li>Experience with PingOne Advanced Services (managed hosting).</li>
<li>Knowledge of risk evaluation and adaptive authentication.</li>
</ul>

Senior Identity and Access Management (IAM) Engineer

<h3>Job Description</h3>
We are hiring for IT field service technician
9 months contract 
Lexington NE
Electro-mechanical and printer hardware support experience

Information Technology Field Technician

<h3>Job Description</h3>
Forward Deployed Engineer (AI Infrastructure)
$80,000 – $120,000 + Equity + Benefits + PTO
San Francisco, CA – Onsite (6 days/week)
 
Are you an engineer who loves solving complex, real-world problems directly with customers? Do you want to work hands-on deploying cutting-edge AI infrastructure used by developers and enterprises around the world, whilst continuing to develop both your technical and client-facing skillsets.
 
This is a rare opportunity to join a profitable, fast-growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any large language model — from OpenAI and Anthropic to Mistral and Hugging Face — through a single, standardized API. The SDK eliminates vendor lock-in, supports caching, logging, streaming, and integrates seamlessly with frameworks like LangChain and LlamaIndex.
 
Founded in 2023 and already profitable with $2.5M ARR (targeting $10M by mid-2026), the company is looking for its first Forward Deployed Engineer. someone who thrives at the intersection of customer success, engineering, and systems design. You’ll work closely with customers to deploy, optimize, and troubleshoot the platform in production environments while shaping the product roadmap based on real-world insights.
 
You’ll report directly to the CTO and operate as a key technical partner to clients, ensuring smooth integrations, rapid debugging, and performance tuning across infrastructure, backend, and frontend layers. Expect deep technical ownership, customer-facing impact, and the chance to build the foundation of a company defining AI interoperability.
 
If you want to join a tight-knit, high-caliber team where your code and customer instincts both matter, whilst continuing to develop your skillsets
 
The Role
<ul>
<li>Deploy, configure, and optimize customer environments for reliability, performance, and scalability.</li>
<li>Troubleshoot and resolve complex full-stack issues across infrastructure, backend (FastAPI/Python), and frontend (React/Next.js).</li>
<li>Collaborate directly with customer engineering teams on implementations, migrations, and custom integrations.</li>
<li>Act as the technical voice of the customer — building tools, contributing fixes, and feeding insights back to product and engineering.</li>
</ul>
 
The Person
<ul>
<li>Experience with production-grade full-stack systems.</li>
<li>Strong in Python and FastAPI; React/Next.js and TypeScript familiarity a plus.</li>
<li>Hands-on problem solver who enjoys debugging, building, and iterating directly with users.</li>
<li>Strong communicator who thrives in dynamic, customer-facing environments.</li>
<li>Excited to work in an early-stage, high-autonomy and feedback focused culture.</li>
<li>Happy to work on-site in San Francisco</li>
</ul>

Forward Deployed Engineer

<h3>Job Description</h3>
Senior AI Engineer - Video Search (Applied Research &amp; Product)
Remote - United States
 
About the Company
We’re partnering with a U.S-based applied AI company building next-generation real-time video understanding systems deployed at scale across enterprise, government, and public environments. The platform combines cutting-edge multimodal AI, vector search, and high-performance inference pipelines to make visual data searchable, interpretable, and actionable in real time.
 
This is a chance to join a well-funded, mission-driven organization with over tens of thousands of active camera streams and a rapidly growing R&amp;D team pushing the boundaries of multimodal retrieval and AI systems design.
 
The Role
We’re looking for a Senior AI Engineer to lead the applied research and productionization of our video search and retrieval stack - connecting natural-language queries to high-dimensional video representations with real-time performance.
 
You’ll work at the intersection of deep learning research, scalable systems, and GPU-optimized inference, owning models and pipelines end-to-end from training through deployment.
 
What You’ll Do
<ul>
<li>Design and build natural-language-to-video retrieval systems using state-of-the-art architectures (e.g., V-JEPA, CLIP, SigLIP, Video-LLMs, ViViT, TimeSformer).</li>
<li>Develop temporal localization and video summarization capabilities with fine-grained moment-level embeddings.</li>
<li>Stand up vector search infrastructure (FAISS, Milvus, pgvector, Pinecone) with optimized sharding, caching, and hybrid retrieval strategies.</li>
<li>Optimize GPU inference and serving pipelines using ONNX Runtime, TensorRT, or ROCm for low-latency performance.</li>
<li>Drive multi-GPU training and distributed serving (FSDP, ZeRO, DDP, NCCL/RCCL) with strong understanding of parallelization and quantization techniques.</li>
<li>Collaborate with MLOps, backend, and product teams to deliver production-ready AI features at scale.</li>
<li>Define and track key retrieval and relevance metrics (R@K, mAP, nDCG) and run live A/B evaluations.</li>
<li>Mentor junior engineers, document design decisions, and drive innovation through rigorous experimentation.</li>
</ul>
 
What We’re Looking For
<ul>
<li>6-10+ years of experience in machine learning or applied AI, with 4+ years focused on video understanding, multimodal retrieval, or transformer-based models.</li>
<li>Proficiency in PyTorch and deep learning frameworks; experience with video backbones, contrastive training, and representation learning.</li>
<li>Strong understanding of vector databases, ANN search (HNSW, IVF), and embedding pipelines.</li>
<li>Demonstrated ability to ship high-performance AI systems with GPU optimization, ONNX/TensorRT, or ROCm pipelines.</li>
<li>Experience with distributed training, CI/CD for ML, and scalable data pipelines (MLflow, W&amp;B, K8s, Docker).</li>
<li>Excellent communication skills and a collaborative, low-ego approach to problem solving.</li>
</ul>
 
Nice-to-Haves
<ul>
<li>Experience with temporal detection, video tracking, or re-ID.</li>
<li>Exposure to Video-RAG or structured retrieval (metadata + knowledge graph).</li>
<li>Background in real-time or edge inference systems.</li>
<li>Interest in privacy-preserving or regulated AI systems.</li>
</ul>
 
Compensation &amp; Logistics
<ul>
<li>Compensation: Competitive base salary + bonus + equity</li>
<li>Location: Fully remote (U.S. based)</li>
</ul>
 
Why Join
<ul>
<li>Build real-world AI that operates at scale and latency levels few companies ever reach.</li>
<li>Collaborate with world-class engineers and researchers in a fast-paced, mission-oriented environment.</li>
<li>Work on deep technical challenges - multimodal search, retrieval, inference optimization - with real-world outcomes.</li>
</ul>

Senior AI Engineer

<h3>Job Description</h3>
About the Role
We’re seeking a forward-thinking Junior AI Engineer to help transform how we deliver hospitality experiences through data and automation. In this role, you’ll develop AI-driven copilots and workflow agents using Microsoft Copilot and the Power Platform to streamline guest services, enhance operations, and support data-driven decision-making across our properties. You’ll collaborate with technology, operations, and guest experience teams to bring intelligent automation to life in a fast-paced, customer-focused environment.
 
Key Responsibilities
<ul>
<li>Build, test, and maintain AI-powered copilots and automation agents using Microsoft Copilot Studio and related tools.</li>
<li>Work with business stakeholders to identify opportunities for automation and translate requirements into technical solutions.</li>
<li>Integrate AI workflows with enterprise data systems (e.g., Power BI, Azure Data Lake, SQL, or ERP systems).</li>
<li>Support data preparation, transformation, and modeling efforts for analytics and AI use cases.</li>
<li>Document processes, develop reusable components, and contribute to continuous improvement initiatives.</li>
<li>Monitor and optimize AI model and agent performance.</li>
</ul>
 
Qualifications
<ul>
<li>Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).</li>
<li>Minimum 1 year of experience in data analytics, AI engineering, or automation development.</li>
<li>Experience building and deploying copilots or chat-based automation agents with Microsoft Copilot Studio, Power Automate, or Azure OpenAI Services.</li>
<li>Understanding of APIs, data connectivity, and enterprise system integrations.</li>
</ul>
<ul>
<li>Strong analytical, problem-solving, and communication skills, especially when collaborating across technical and non-technical teams.</li>
</ul>
 
Preferred Skills
<ul>
<li>Familiarity with Power BI, Databricks, and Azure Data Services.</li>
<li>Exposure to machine learning, prompt engineering, or natural language processing concepts.</li>
<li>Interest in improving guest experiences through technology and operational innovation.</li>
</ul>
 
 #6927

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