Qureos Mentor

Tek Headquarters

About Us:TEKHQS is a global technology solutions provider headquartered in Lake Forest, California, with an offshore team of 300+ experts based in Pakistan. We specialize in Web 2.0 (Web &amp; Mobile App Development), Web 3.0 (Blockchain &amp; Crypto Platform Development), AI/ML Solutions, and ERP services as a certified partner of SAP S/4HANA, Oracle NetSuite, and Microsoft Dynamics 365 Business Central. Our expertise includes implementation, training, customization, integration, support, IT staff augmentation, and certified ERP consultancy.About the RoleWere looking for a passionate Mid-Level AI/ML Software Engineer with &#65279;2-3 years experience to join TEKHQS in Lahore. Youll work on exciting AI and machine learning projects, helping build and deploy innovative solutions in deep learning and generative AI. This role is perfect for someone eager to dive into real-world AI challenges, learn cutting-edge techniques, and contribute to our global tech solutions. Expect to work with raw data, experiment with models, and collaborate with a talented team to bring ideas to life.Key Responsibilities<ul><li>&#65279;Build and train AI models, including transformer-based models (e.g., BERT, GPT, or similar), using GPU-based environments.</li><li>Support the development of GenAI systems, including tasks like data preprocessing, model training, and fine-tuning.</li><li>Experiment with model optimization techniques, such as quantization or efficient attention mechanisms.</li><li>Help implement state-of-the-art AI methods from research papers or open-source frameworks.</li><li>Manage parts of the model lifecycle: data preparation, training, evaluation, and deployment.</li><li>Work with multi-modal data (e.g., text, images) to support cross-domain AI applications.</li><li>Collaborate with senior engineers to optimize models for performance, including low-latency inference and memory efficiency.</li><li>Write clean, modular Python code and contribute to CI/CD pipelines for model deployment.</li></ul>Requirements:Core AI/ML Skills:<ul><li>Familiarity with deep learning concepts like transformers, self-attention, or normalization techniques (e.g., LayerNorm).</li><li>Basic understanding of token sampling (e.g., Top-k, Top-p) or training strategies like curriculum learning.</li><li>Experience with supervised or unsupervised learning (e.g., classification, regression, or masked modeling).</li></ul>Training Infrastructure:<ul><li>Hands-on experience with Python-based ML frameworks like PyTorch, TensorFlow, or HuggingFace.</li><li>Exposure to distributed training or mixed precision (e.g., fp16) is a plus.</li><li>Familiarity with data formats like CSV, JSON, or Parquet for model training.</li></ul>Model Optimization &amp; Serving:<ul><li>Basic knowledge of model optimization techniques (e.g., quantization or pruning).</li><li>Exposure to model serving tools (e.g., HuggingFace Inference, ONNX, or similar) is a plus.</li></ul>GenAI Systems:<ul><li>Interest in generative AI, including LLMs or Retrieval-Augmented Generation (RAG).</li><li>Familiarity with tokenizers (e.g., Byte Pair Encoding or SentencePiece) is a bonus.</li></ul>Software Engineering:<ul><li>Ability to write clean, testable Python code.</li><li>Basic experience with version control (e.g., Git) and CI/CD pipelines.</li><li>Familiarity with Docker or profiling tools (e.g., PyTorch Profiler) is a plus.</li></ul>Mathematical Foundations:<ul><li>Understanding of core concepts like gradient descent, loss functions (e.g., cross-entropy), or basic linear algebra.</li><li>Comfortable with probability and statistics for data analysis or model evaluation.</li></ul>Job Details:Experience: Minimum 3 years of AI/ML or software development experience, including 1+ year in deep learning or GenAI projects.Job Type: HybridJob Type: Full-timeWork Location: In person

AI/ML Engineer

About UsTekHQS is a premier technology firm headquartered in Lake Forest, California, USA, with a strategic offshore development center in Lahore, Pakistan. For over 12 years, weve been helping businesses across the USA, Europe, Asia, Australia, and the UAE drive digital transformation through smart software development, enterprise solutions, and remote team integration. Our expertise spans AI/ML, Blockchain, ERP, IoT, Cybersecurity, and Custom Applications.As we continue to grow, we are expanding our support function to ensure our clients and partners receive world-class service.Role OverviewWe are looking for young, energetic, and tech-savvy Support Resources to join the TekHQS team. In this role, you will serve as the first point of contact for customers, assisting them with onboarding, troubleshooting, and navigating our diverse technology solutions. You will play a key role in ensuring a seamless client experience and strengthening TekHQ's reputation for excellent support.Key Responsibilities<ul><li>Provide timely and professional support via chat, email, and phone.</li><li>Assist customers with setup, onboarding, and troubleshooting of trucking software and ELD devices</li><li>Document common issues, customer feedback, and solutions to improve the support process.</li><li>Escalate complex technical problems to product/engineering teams.</li><li>Maintain a positive, empathetic, and customer-first approach in all interactions.</li></ul>Requirements<ul><li>1- 2 years of experience in customer support, technical support, or a related role.</li><li>Strong communication skills in English (verbal and written).</li><li>Energetic, proactive, and problem-solving mindset with a positive attitude.</li><li>Basic knowledge of technology, trucking software, or ELD systems (training will be provided).</li><li>Passion for helping customers and improving support experiences.</li><li>Ability to multitask, stay organized, and work in a fast-paced environment.</li><li>Comfortable using CRM systems, digital tools, and support platforms.</li></ul>Preferred (but not required):<ul><li>Prior experience in customer support or technical support roles.</li><li>Familiarity with the trucking industry, ELD compliance, or logistics operations.</li><li>Bilingual skills (English/Punjabi) are a plus.</li></ul>Job Details:<ul><li>Job Type: Full-time, On-site</li><li>Timing: 9:00 PM to 6:00 AM</li><li>Location: DHA Phase 6, Lahore, Pakistan</li></ul>About Us:TEKHQS is a global technology solutions provider headquartered in Lake Forest, California, with a 300+ expert team in Pakistan. We specialize in ERP (SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics 365), AI/ML, Blockchain, Cloud, and Staff Augmentation services. Join us to drive business growth and work on cutting-edge global IT projects with hands-on mentorship and a clear career path.Job Type: Full-timeWork Location: In person

Technical Support Executive

About the RoleWe in Tekhqs are seeking an elite ML/AI Engineer with deep theoretical and engineering mastery in deep learning, LLMs, and generative architectures. You must have trained, fine-tuned, benchmarked, and deployed transformer-based models at scale, understand the research behind every paper you cite, and have shipped production-grade ML systems across distributed GPU environments. This is a zero-to-one role: no prebuilt dataset, no precleaned labels, no off-the-shelf pipelines. Just research, code, and compute.Key Responsibilities<ul><li>Designing and training foundation models (e.g., GPT, T5, Mistral, LLaMA) from scratch on multi-node GPU clusters.</li><li>Leading full-stack GenAI architecture: tokenizer design, attention variants, pretraining schemes, alignment (RLHF), quantization, serving.</li><li>Conducting frontier research in model optimization, mixture-of-experts (MoE), context length extrapolation, prompt tuning, and memory efficiency.</li><li>Implementing and extending SOTA methods from arXiv (e.g., Phi-3, Gemini, FlashAttention-2, GQA, LLaVA, Orca, DPO, ZeRO-Infinity).</li><li>Managing model lifecycle: data curation pretraining finetuning evaluation quantization deployment postmortems.</li><li>Working with multi-modal inputs (text, image, video, audio, embeddings) for cross-domain GenAI systems.</li><li>Driving production-grade optimization: low-latency inference, batching strategies, CUDA kernel debugging, memory offloading, model sharding.</li></ul>RequirementsCore ML/DL:<ul><li>Transformers, self-attention, residual connections, GELUs, normalization strategies (RMSNorm, LayerNorm, etc.)</li><li>LLM scaling laws, curriculum learning, token sampling strategies (Top-k, Top-p, Temperature, Mirostat, nucleus filtering)</li><li>Contrastive learning, masked modeling, autoregressive generation, denoising diffusion</li></ul>Training Infrastructure:<ul><li>PyTorch Lightning, DeepSpeed, HuggingFace Accelerate, Fully Sharded Data Parallel (FSDP), ZeRO-3</li><li>GPU/TPU cluster management, distributed checkpointing, mixed precision (fp16, bfloat16), quantization-aware training</li><li>Data streaming at scale with WebDataset, TFRecord, Parquet</li></ul>Model Optimization &amp; Serving:<ul><li>Quantization: GPTQ, AWQ, SmoothQuant, LLM.int8(), QLoRA</li><li>Compilers: TensorRT, Torch-TensorRT, TVM, ONNX Runtime, XLA, GGUF</li><li>Model serving: Triton Inference Server, vLLM, TGI, HuggingFace TextGeneration Inference</li></ul>GenAI Systems:<ul><li>RLHF pipelines: reward modeling, PPO, DPO, ORPO, RLAIF</li><li>Retrieval-Augmented Generation (RAG): hybrid semantic search, vectorDB integration, prompt composition</li><li>Tokenizer development: SentencePiece, Tiktoken, Byte Pair Encoding(BPE), Unigram LM</li></ul>Software Engineering:<ul><li>Clean, modular, testable Python code with CI/CD pipelines</li><li>Profiling tools: PyTorch Profiler, Nsight, nvtop, nvprof, memory profiler</li><li>Containerization: Docker, NVIDIA Container Toolkit, Kubernetes for distributed training</li></ul>Mathematical Rigor:<ul><li>Optimization: AdamW, Lion, RMSProp, gradient clipping, learning rate schedulers</li><li>Loss functions: Cross-entropy, KL divergence, cosine similarity, contrastive losses</li><li>Strong command of linear algebra, probability, statistics, and numerical methods</li></ul>Experience: 4+ years hands-on (Minimum 3+ years in GenAI &amp; Transformers)Job Type: HybridJob Time: 3pm to 9pm from office and 11pm to 1 am from homeLocation: DHA Phase 6 LahoreAbout Us:TEKHQS is a global technology solutions provider headquartered in Lake Forest, California, with an offshore team of 300+ experts based in Pakistan. We specialize in Web 2.0 (Web &amp; Mobile App Development), Web 3.0 (Blockchain &amp; Crypto Platform Development), AI/ML Solutions, and ERP services as a certified partner of SAP S/4HANA, Oracle NetSuite, and Microsoft Dynamics 365 Business Central. Our expertise includes implementation, training, customization, integration, support, IT staff augmentation, and certified ERP consultancy.Job Type: Full-timeWork Location: In person

Senior Machine Learning / AI Engineer

We are looking for an enthusiastic HR Operations Intern to join our team. The intern will support the HR department with daily operational tasks, documentation, and employee lifecycle processes. This role offers hands-on experience in HR operations, compliance, and administration, providing a strong foundation for a career in Human Resources.Job Details:<ul><li>Assist in day-to-day HR operational tasks (employee data updates, filing, reporting).</li><li>Support documentation processes, including employment contracts, letters, and onboarding paperwork.</li><li>Maintain and update HR databases, master data sheets, and personnel records.</li><li>Assist with recruitment operations (scheduling interviews, resume management, candidate follow-ups).</li><li>Support onboarding and offboarding activities, ensuring proper documentation and compliance.</li><li>Help manage leave records, attendance, and timesheet tracking.</li><li>Assist in preparing HR reports and presentations for management.</li><li>Ensure confidentiality and accuracy of employee information.</li><li>Coordinate with team members on policy implementation, HR initiatives, and engagement activities.</li><li>Perform other ad-hoc HR and administrative tasks as assigned.</li></ul>Requirements<ul><li>Bachelors degree in HR, Business Administration, or a related field.</li><li>Strong organizational and multitasking skills.</li><li>Good communication and interpersonal abilities.</li><li>Proficiency in MS Office (Excel, Word, PowerPoint).</li><li>Attention to detail and ability to maintain confidentiality.</li><li>Eagerness to learn and contribute in a fast-paced environment.</li></ul>Job Details:Job Type: Full-time- On-site Job Time: 9 am - 6 pm Location: DHA Phase 6, LahoreAbout Us:TEKHQS is a global technology solutions provider headquartered in Lake Forest, California, with an offshore team of 300+ experts based in Pakistan. We specialize in Web 2.0 (Web &amp; Mobile App Development), Web 3.0 (Blockchain &amp; Crypto Platform Development), AI/ML Solutions, and ERP services as a certified partner of SAP S/4HANA, Oracle NetSuite, and Microsoft Dynamics 365 Business Central. Our expertise includes implementation, training, customization, integration, support, IT staff augmentation, and certified ERP consultancy.Job Type: Full-timeWork Location: In person

HR Operations Intern

Join Tek Headquarters and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Tek Headquarters

ABOUT_COMPANY

AI/ML Engineer

Technical Support Executive

Senior Machine Learning / AI Engineer

HR Operations Intern