large language model architect

Şişecam

<div>
 
 
 Sisecam was founded in 1935
 
 
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 Mustafa Kemal Atat&uuml;rk, a great leader respected worldwide. Today, Sisecam is a major global player in the fields of glass and chemicals
 
 
 . Sisecam is the only global company
 
 
 operating in all core areas of glass production &ndash;
 
 
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 is one of the three largest soda ash producers in the world
 
 
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 business lines. Sisecam operates production facilities in Germany, Italy, Bulgaria, Romania, Slovakia, Hungary, Bosnia-Herzegovina, Russia Federation, Georgia, Ukraine, Egypt, India, and the USA in addition to Turkey.
 
 
 
 
 Sisecam who takes firm steps towards its goal of becoming one of the world's top 3 manufacturers in its main fields of activity
 
 
 , with its competent human resources and smart technologies, and uninterruptedly continues to transform its digital infrastructure and culture by considering the future necessities. Sisecam who ha
 
 
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 y, which is compliant with and centered around the United Nations Sustainable Development Goals. Sisecam uses all its experience and competencies to promote sustainable development in every aspect.
 
 
 
 
 
 
 We are looking for an
 
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 AI Architect
 
 " to take part in &Scedil;i&scedil;ecam Headquarter located in Tuzla/&Idot;stanbul.
 
 
 
 
 
 The AI Architect is a pivotal strategic and technical leader who will be instrumental in bridging the gap between cutting-edge AI research and robust, scalable, production-ready solutions tailored for &Scedil;i&scedil;ecam's diverse business needs. This role is crucial for establishing the foundational architecture, best practices, and technological standards that will enable our data science team to deploy impactful AI solutions efficiently, securely, and reliably across the organization. This role will not only design systems but also critically assess, select, and integrate ready-to-use AI products and vendor solutions ('buy' strategy) alongside custom-built functionalities ('make' strategy). The ideal candidate would have the following qualifications:
 
 
 
 
 <ul>
 <li>
 BSc or MSc in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related quantitative field.
 </li>
 <li>
 8+ years of progressive experience in software architecture, with at least 3-5 years specifically focused on designing and deploying large-scale AI/ML systems in production environments.
 </li>
 <li>
 Demonstrable experience architecting solutions involving Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval Augmented Generation (RAG) patterns, or fine-tuning techniques.
 </li>
 <li>
 Proven experience in architecting and implementing MLOps frameworks and automated ML pipelines.
 </li>
 <li>
 Strong expertise with major cloud platforms (e.g., Microsoft Azure, AWS, GCP) and their respective AI/ML services.
 </li>
 <li>
 Proficiency in programming languages commonly used in AI/ML (e.g., Python) and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Proven experience with evaluating, selecting, integrating, and managing third-party AI products, platforms, or cloud-native AI services.
 </li>
 <li>
 Exceptional leadership, mentorship, and communication skills, with the ability to inspire and guide a young, dynamic team.
 </li>
 <li>
 A strategic thinker with a pragmatic approach to problem-solving and a strong focus on delivering business value through both custom builds and strategic partnerships.
 </li>
 <li>
 Ability to work effectively in a cross-functional, highly collaborative environment.
 </li>
 <li>
 Passionate about fostering an innovative culture and continuous learning, particularly in the fast-evolving field of Generative AI.
 </li>
 </ul>
 
 
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain &Scedil;i&scedil;ecam&rsquo;s enterprise-wide AI architecture vision and roadmap, identifying key components, platforms, and integration points for scalable AI adoption.
 </li>
 <li>
 Strategic 'Buy vs. Make' Decisions: Lead the evaluation, selection, and integration of commercial off-the-shelf (COTS) AI products, platforms, and third-party vendor solutions, balancing these with custom-built components to optimize for speed, cost, and long-term maintainability.
 </li>
 <li>
 Generative AI Leadership: Define and champion the architectural strategy and roadmap for Generative AI (GenAI) adoption across &Scedil;i&scedil;ecam, identifying high-impact use cases and the necessary technical infrastructure for large language models (LLMs) and other generative capabilities.
 </li>
 <li>
 Design robust, scalable, secure, and performant end-to-end AI/ML systems, encompassing data ingestion, feature engineering, model training/evaluation, and deployment (real-time, batch, edge), monitoring, and retraining mechanisms.
 </li>
 <li>
 Architect scalable and secure solutions for Generative AI applications, including considerations for large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG) patterns, fine-tuning strategies, and model safety.
 </li>
 <li>
 Establish and standardize MLOps (Machine Learning Operations) practices, pipelines, and automation to streamline the entire ML lifecycle from experimentation to production.
 </li>
 <li>
 Provide strong technical leadership and architectural guidance to the data science team, steering them towards best practices in model deployment, system resilience, performance optimization, responsible AI, and advanced GenAI solution patterns.
 </li>
 <li>
 Work closely with IT infrastructure, cybersecurity, operational technology (OT) teams, embed security best practices into all AI architectures from the outset, protecting sensitive data and preventing unauthorized access or manipulation of AI models, including IP and data handling for GenAI.
 </li>
 </ul>
 
 
</div>

AI Architect

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
We&rsquo;re looking for a Senior AI Architect to lead the creation of a transformative AI capabilities in the Supply Chain domain. You&rsquo;ll architect scalable, secure, high-performance AI, ML, and LLM solutions, integrating cutting-edge generative AI to boost decision-making, streamline workflows, and solve some of the most complex campaign-level modeling challenges in the defense space. If you thrive at the intersection of AI innovation, technical leadership, and mission impact, this is your chance to invent the future Supply Chain from concept to operational deployment. Bring your expertise, shape the strategy, mentor top talent, and push the boundaries of what&rsquo;s possible in AI.<h1 class="jobSectionHeader">
Job Description</h1>
Roles and Responsibilities
In this role, you will:<ul><li>
Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.</li><li>
Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.</li><li>
Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Plam2, Meta Llama2 or Llama3.</li><li>
Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.</li><li>
Assess and choose suitable Generative AI technologies, tools, and frameworks to attain the required performance, precision, and scalability.</li><li>
Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices in Generative AI and machine learning.</li><li>
Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop.</li><li>
Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency.</li><li>
Conduct frequent code assessments and provide technical mentorship to less experienced team members.</li><li>
Stay up to date on the latest trends and progress in Generative AI technologies, frameworks, and algorithms, and pinpoint opportunities for their use within the organization.</li><li>
Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments.</li><li>
Document Generative AI design choices and technical specifications for reference and knowledge dissemination.</li></ul>
Minimum Required Qualifications:
<ul><li>Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) from an accredited college or university
</li><li>Minimum of 5 years of AI/ML/Software Engineering Development experience</li><li>
GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.</li></ul>
Desired Characteristics and Experience:
Technical Expertise:<ul><li>
Ability to consult customer on alignment of outcomes and desired technical solutions at an enterprise level</li><li>
Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business.</li><li>
Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.</li><li>
Knowledgeable of full range of solution catalog within a business unit and able to discuss overall solution at depth.</li><li>
Experience sustaining operational stability through various life cycle phases (planning, implementation, steady state, de-commissioning); Ability to provision and budget via capital and operating.</li><li>
Able to lead early-stage customer interactions; Guide customers as they develop confidence and comfort with approaches, and integrate with their legacy tech investments.</li></ul> 
Business Acumen:<ul><li>
Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and rally teammates</li><li>
Understand how internal and/or external business model works and facilitate active customer engagement</li><li>
Able to articulate the value of what is most important to the business/customer to achieve outcomes</li><li>
Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts</li><li>
Possess extensive knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level</li></ul> 
Leadership:<ul><li>
Demonstrated working knowledge of internal organization</li><li>
Foresee obstacles, identify workarounds, leverage resources, rally teammates.</li><li>
Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.</li><li>
Demonstrated Change Management /Acceleration capabilities</li><li>
Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels</li><li>
Proven analytical and problem resolution skills</li><li>
Ability to influence and build consensus with other Digital Technology teams and leadership</li></ul>
This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).<h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div></div></div></div></div></div><div><div><div><div><div><div><div>
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</div></div></div></div></div></div></div><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>
#LI-Remote - This is a remote position</div>

Senior AI Architect

GSSTech Group

<div>We are seeking a highly skilled Senior DevOps Engineer with experience in architecting and deploying Agentic AI systems. The ideal candidate will have a strong background in DevOps, cloud infrastructure, and modern AI integrations, including LLM-based systems and autonomous agent development.
Requirements<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Architect AI-Driven Systems: Design and implement modular architectures that integrate large language models (LLMs) and support multi-step reasoning, retrieval-augmented generation (RAG), and external tool usage.
</li><li>AI Model Integration: Evaluate, select, and integrate suitable AI models (e.g., GPT-5, custom LLMs) into scalable production environments.
</li><li>Agent Development: Build and deploy intelligent agents capable of research, summarization, task automation, and action execution.
</li><li>Infrastructure &amp; Scalability: Manage containerized environments using Docker and Kubernetes, ensuring high availability, performance, and security.
</li><li>Responsible AI Practices: Establish and maintain content filtering, audit logging, and data protection mechanisms to ensure ethical AI operations.
</li><li>Stakeholder Collaboration: Work closely with cross-functional teams to translate business needs into scalable technical AI solutions.
</li><li>Continuous Optimization: Monitor agent performance, analyze errors, refine prompts, and optimize system behavior for accuracy and efficiency.
</li></ul><h3 class="jobSectionHeader">Requirements:</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
</li><li>5+ years of experience in DevOps or cloud infrastructure engineering.
</li><li>Strong hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
</li><li>Experience with LLMs, AI model deployment, or MLOps workflows is a strong plus.
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and infrastructure as code (Terraform, Ansible, etc.).
</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, AI-focused environment.
</li></ul><h3 class="jobSectionHeader">Preferred Skills:</h3><ul>
<li>Experience with Python-based AI frameworks and APIs.
</li><li>Familiarity with retrieval systems, vector databases, or RAG pipelines.
</li><li>Understanding of data governance, compliance, and responsible AI principles.</li></ul></div>

Senior DevOps Engineer - AI & Agentic Systems

iAiSystem, LLC

Conduct design architect reviews, gap analysis and assessment when required. Responsible for creating and maintaining formal data structures, data description and data architecture; this can include data models, data definitions , data flow diagrams, data dictionaries, etc. Develop Interfaces using Dell Boomi middleware technologies Review code developed by others and provide feedback Understanding customer's business needs, system functionality and business processes. Responsible to architect, design and implement small to large scale integration solutions adopting various technologies. Responsible to select systems and capabilities to meet business data requirements, evaluate new techniques for improved functionality. Responsible to mentor, direct and train staff and perform as the technical lead. Maintain and document all service contracts and promote optimal level of communications. Define and delivering integrated solutions by applying proven delivery methodologies including Agile and Model-Driven techniques. <img src="https://www.jobg8.com/Tracking.aspx?OU9UQ%2blXl7RWucu6wxYpaFOR0MQawBlhj" width="0" height="0" />

Dell Boomi Consultant

PricewaterhouseCoopers

Job Summary: We value every individual's role in shaping our future. We're looking for candidates who excel in their roles and embody our core behaviors of Trusted Leadership and Distinctive Outcomes. Trusted Leadership focuses on building trust, delivering sustained results, and showing courage and honesty. Distinctive Outcomes emphasize excellence, collaboration, and inclusiveness. We seek self-aware, collaborative individuals committed to continuous learning and delivering quality and integrity. We are seeking a GenAI Senior Solution Architect to lead the design, development, and deployment of Generative AI-powered applications. This role will focus on architecting scalable AI solutions for cloud-based and hybrid environments, defining AI adoption strategies and best practices, and collaborating with cross-functional teams to drive AI-driven digital transformation. You will play a pivotal role in integrating cutting-edge AI models into enterprise and government systems, ensuring seamless integration into enterprise systems. This role requires expertise in AI architecture, model hosting, MLOps, and full-stack AI application development, with a focus on security, scalability, and performance. Roles and Responsibilities: <ul> <li>Architect and implement Generative AI (GenAI) applications cross functionally and across industries such as government, banking, real estate, and telecommunications.</li> <li>Define AI adoption strategies and design scalable AI architectures for both cloud-based and hybrid environments.</li> <li>Develop AI-driven automation solutions leveraging CoPilot Studio, Power Automate, and other orchestration tools.</li> <li>Build and optimize GenAI frameworks using Retrieval-Augmented Generation (RAG), prompt engineering, and LLM integration.</li> <li>Deploy offline and cloud-based LLMs using Nvidia Triton, HuggingFace TGI, vLLM, LiteLLM, and other inference layers.</li> <li>Lead full-stack AI application development, ensuring high availability, scalability, and security.</li> <li>Collaborate with stakeholders to translate business requirements into AI-enabled solutions.</li> <li>Implement MLOps best practices, ensuring efficient model training, deployment, and monitoring.</li> <li>Manage CI/CD pipelines, containerization (Docker), and DevOps for AI applications.</li> <li>Ensure compliance with AI governance, privacy, and security standards in AI Implementations.</li> <li>Provide mentorship and technical leadership to AI engineering teams.</li> </ul> Required Skills: <ul> <li>AI expertise: Building RAG models, OpenAI agents, Prompt Engineering, Copilot Studio, Python FastAPI Apps, LangChain, CrewAI</li> <li>Proven track record of deploying AI solutions at an enterprise level.</li> <li>Ability to build applications and expertise in different technology stacks.</li> <li>Expertise in Python, FastAPI, Langchain, Langfuse, LlamaIndex.</li> <li>Strong experience with AI model hosting, fine-tuning, and API integration.</li> <li>Hands-on experience with Cloud Platforms (Azure, AWS, GCP) for AI/ML workloads.</li> <li>Proficiency in MLOps, AI Infrastructure Engineering, and Data Engineering.</li> <li>Experience in containerization, CI/CD pipelines, and DevOps practices.</li> <li>Deep knowledge in LLM architecture, RAG, and inference optimization.</li> <li>Knowledge of data privacy, security and ethical AI governance frameworks.</li> <li>Understanding of AI governance frameworks and best practices for ethical AI.</li> <li>Experience with full-stack development for AI applications if preferable.</li> <li>Strong problem-solving skills and ability to work in a fast-paced environment.</li> <li>Experience working with government entities and large enterprises is a plus.</li> </ul> Required Language Skills: <ul> <li>Fluent English</li> <li>Arabic proficiency is a plus</li> </ul>

GenAI Solution Architect

Stark IT Consultancy Ltd

We are looking for a BIM Architect, who is responsible for ensuring that architectural design is flawlessly integrated with advanced Building Information Modeling (BIM) methodologies. The ideal candidate is a qualified architect with strong understanding of design, technical detailing ability, and hands-on experience using BIM tools to deliver complex, multidisciplinary construction projects.Key Responsibilities:<ul><li>Generate reports, 3D visualizations, and model-based presentations for project meetings and client updates.</li><li>Produce detailed architectural drawings, schedules, and documentation directly from BIM models.</li><li>Assist the project management team in visualizing design concepts and progress updates through BIM-based reports and visualizations.</li><li>Develop architectural designs and documentation using BIM tools, ensuring accuracy and design intent throughout all project stages.</li><li>Lead junior team members and design teams in BIM-related tasks and workflows.</li><li>Collaborate with consultants and contractors to resolve model-related and design coordination issues.</li></ul>Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s or Master&rsquo;s Degree in Architecture or a related field.</li><li>5+ years of experience in architectural design and BIM implementation, preferably environment in the UAE or GCC.</li><li>Proficiency in Autodesk Revit, Navisworks, and familiarity with BIM 360 / ACC, AutoCAD, and related visualization tools are a must.</li><li>Experience in large-scale or high-rise projects is highly preferred.</li><li>In-depth understanding of UAE construction codes, design guidelines, and project delivery standards.</li><li>Strong communication and collaboration skills for multidisciplinary coordination.</li></ul>Job Type: Full-time

Architect (BIM Experience)

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job:
We are looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration. The engineer will extend the inference framework to support inference and fine-tuning for Language models with a strong focus on mobile and integrated GPU acceleration (Vulkan).
This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging. You will play a critical role in pushing the boundaries of desktop and on-device inference and fine-tuning performance for next-generation SLM/LLMs. 
Responsibilities:<ul><li>
Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.</li><li>
Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.</li><li>
Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).</li><li>
Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.</li><li>
Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.</li><li>
Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.</li><li>
Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).</li><li>
Integrate and validate quantization workflows for training and inference.</li><li>
Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).</li><li>
Conduct GPU testing across desktop and mobile devices.</li><li>
Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.</li><li>
Deliver production-grade, efficient language model deployment for mobile and edge use cases.</li><li>
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.</li></ul><ul><li> 
Proficiency in C++ and GPU kernel programming.</li><li>
Proven Expertise in GPU acceleration with Vulkan framework.</li><li>
Strong background in quantization and mixed-precision model optimization.</li><li>
Experience and Expertise in Vulkan compute shader development and customization.</li><li>
Familiarity with LoRA fine-tuning and parameter-efficient training methods.</li><li>
Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.</li><li>
Hands-on experience with mobile GPU acceleration and model inference.</li><li>
Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).</li><li>
Experience implementing custom backward operators for fine-tuning.</li><li>
Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.</li><li>
Demonstrated ability to apply empirical research to overcome challenges in model</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior AI Research Engineer, Model Inference (100% Remote)

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