devops engineer

software engineer

sales engineer

network engineer

planning engineer

nlp engineer

Arc Inventor

Arc Inventador is a fast-growing technology company focused on building scalable and innovative SaaS (Software as a Service) solutions for global clients. We specialize in software development, cloud-based product engineering, and end-to-end digital transformation. Our team is passionate about delivering high-performance platforms that solve real-world business challenges across multiple industries.The ML Engineer will be responsible for designing, developing, and deploying machine learning solutions focused on Natural Language Processing (NLP), conversational AI, and speech technologies. You will drive innovation in automation and intelligent workflows, collaborating closely with backend engineers, product teams, and voice platform specialists. This role demands both deep technical expertise in ML/NLP and a practical, product-centric mindset.Key Responsibilities<ul><li>Develop and deploy NLP pipelines for intent detection, entity extraction, sentiment analysis, and conversational flow management using NLTK, spaCy, or similar libraries.</li><li>Design and implement machine learning models to automate dialog management, FAQ handling, and multi-turn conversation flows for voice and chat channels.</li><li>Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies (e.g., Whisper, Google STT/TTS, Amazon Polly).</li><li>Fine-tune and maintain language models for industry-specific conversational experiences.</li><li>Collaborate with software engineers and product owners to build scalable, production-ready ML APIs and microservices.</li><li>Analyze large, multilingual datasets and annotate data to train, validate, and optimize ML models.</li><li>Monitor and optimize model performance, latency, and reliability in production.</li><li>Prototype and implement intelligent automation features (e.g., call summarization, intent routing, IVR automation).</li><li>Document research findings, pipelines, and contribute to knowledge sharing within the team.</li><li>Stay abreast of the latest advancements in conversational AI, NLP, and speech processing.</li></ul>Required Skills &amp; Experience<ul><li>3&ndash;4 years of professional experience in ML Engineering or NLP-focused Data Science roles.</li><li>Proven hands-on experience with NLTK (and/or spaCy, Transformers) for NLP pipeline development.</li><li>Strong Python programming skills: familiarity with libraries such as scikit-learn, PyTorch, or TensorFlow.</li><li>Experience developing, deploying, and maintaining STT/TTS solutions for production (Whisper, Google STT/TTS, Amazon Polly, or similar).</li><li>Solid understanding of conversational AI, dialog management, and automation for contact center or voice platforms.</li><li>Experience working with REST APIs, microservices, and deploying ML models as web services.</li><li>Exposure to handling, processing, and annotating large-scale text/audio datasets.</li><li>Familiarity with Agile development, version control (Git), and collaborative workflows.</li></ul>Job Type: Full-timeWork Location: In person

Machine Learning Engineer

Digitrends

AI EngineerKey Responsibilities<ul><li>Design, develop, and fine-tune LLM-based AI models for real-world applications.</li><li>Implement custom LLM training, reinforcement learning, and fine-tuning using open-source and proprietary models like GPT, Llama, Mistral, Claude, or Falcon.</li><li>Optimize model efficiency, inference speed, and resource utilization for deployment in cloud or on-premise environments.</li><li>Build data pipelines for training and evaluating AI models.</li><li>Implement prompt engineering, retrieval-augmented generation (RAG), and memory-based techniques for improved performance.</li><li>Integrate LLMs into applications using APIs, LangChain, vector databases (e.g., Pinecone, FAISS, ChromaDB).</li><li>Develop custom embeddings, transformers, and tokenization strategies for specific use cases.</li><li>Work closely with MLOps, backend engineers, and data scientists to ensure smooth deployment and monitoring of AI solutions.</li><li>Research and stay updated on emerging trends in NLP, generative AI, and model compression techniques.</li><li>Ensure compliance with ethical AI principles and data security standards when handling sensitive data.</li></ul>Required Skills:<ul><li>Strong knowledge of Python and frameworks like PyTorch, TensorFlow, JAX.</li><li>Experience with Hugging Face Transformers, OpenAI API, LangChain, and vector databases.</li><li>Understanding of LLM architectures, fine-tuning techniques (LoRA, QLoRA, PEFT), and model distillation.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li><li>Familiarity with distributed computing, GPU acceleration (CUDA, TensorRT), and multi-node training.</li><li>Knowledge of AI safety, bias mitigation, and responsible AI development.</li><li>Strong problem-solving, debugging, and optimization skills.</li><li>Excellent communication and teamwork skills.</li></ul>Preferred Qualifications<ul><li>Experience in building domain-specific AI assistants or chatbots.</li><li>Knowledge of multimodal AI, speech-to-text, text-to-image models.</li><li>Contributions to open-source AI projects or research papers in NLP/LLMs.</li></ul>Key Benefits<ul><li>Working in a fast-paced tech start-up environment</li><li>Attractive salary and incentives for high-quality work</li><li>Flexible schedule</li><li>Health Insurance</li><li>Five Working Days</li><li>Provident Fund</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

ITX-Solution

Job Description: Senior AI Engineer &ndash; LegalTechLocation: Karachi (on-site, no remote)Salary: 80,000 &ndash; 150,000 PKR/month (higher possible for highly experienced candidates)Employment Type: Full-timeAbout UsWe are building a next-generation AI-powered legal application for the Austrian market. Our platform automates the complete law firm workflow &ndash; from client intake to contract analysis, clause detection, deadline management, and final contract creation. Using state-of-the-art AI, RAG pipelines, and workflow automation, we aim to drastically reduce operational workload and let lawyers focus on high-value legal review.Responsibilities<ul><li>Design and implement AI-driven contract analysis tools tailored to multiple contract types (rental, real estate, employment, company formation, etc.).</li><li>Build and optimize RAG (Retrieval-Augmented Generation) pipelines with embeddings, clause libraries, and Austrian law references.</li><li>Develop and maintain FastAPI-based microservices powering the legal workflows.</li><li>Integrate OCR, document parsing, and structured data extraction for PDF/DOCX contracts.</li><li>Connect with external Austrian legal registries (company register, land registry, public court notices).</li><li>Enhance the AI Contract Editor (redlining, clause checking, AI suggestions).</li><li>Ensure GDPR-compliant and secure architecture.</li><li>Collaborate with lawyers and business stakeholders to translate legal requirements into scalable AI solutions.</li></ul>Requirements<ul><li>3+ years experience as AI/ML Engineer or Senior Data Scientist.</li><li>Strong expertise in Python, FastAPI, LangChain, HuggingFace, and vector databases (FAISS, Weaviate, Pinecone, Chroma).</li><li>Proven experience with RAG systems and NLP-based contract analysis.</li><li>Familiarity with OCR frameworks (Tesseract, PaddleOCR, etc.).</li><li>Experience in SQL/NoSQL databases and cloud environments (AWS/Azure/GCP).</li><li>Ability to work independently and deliver high-quality results in a structured way.</li><li>Bonus: Background in LegalTech, contract management, or compliance software.</li></ul>We Offer<ul><li>A chance to work on an international LegalTech project with real impact.</li><li>Competitive salary (80,000&ndash;150,000 PKR/month, negotiable for senior experts).</li><li>Long-term career growth in advanced AI/NLP and LegalTech.</li><li>On-site working environment in Karachi with a professional and collaborative team.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs150,000.00 per monthWork Location: In person

Senior AI Engineer – LegalTech

ClearGrid

<div>
 
 About ClearGrid
 
 
 
 ClearGrid is building a smarter future of debt resolution by setting the global standard for how technology, intelligence, and execution solve credit problems at scale. Our mission is to resolve debt with speed, fairness, and precision &mdash; powered by scalable systems and sharp data. We work with banks and financial institutions across the UAE, Saudi Arabia, and beyond, delivering innovative, compliant, and customer-centric solutions.
 
 
 Role Overview
 
 
 We&rsquo;re looking for an
 
 AI Prompt Engineer
 
 to design, optimize, and refine the prompts and model interactions that power ClearGrid&rsquo;s AI-driven workflows. You&rsquo;ll work closely with our product and engineering teams to enhance AI performance, improve response accuracy, and build scalable solutions for financial services.
 
 
 This role is ideal for someone who thrives in
 
 rapid experimentation
 
 , understands how to get the best out of large language models (LLMs), and enjoys iterating quickly to deliver real-world impact.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, test, and refine prompts to optimize accuracy, relevance, and reliability of AI outputs.
 </li>
 <li>
 Collaborate with product and engineering teams to integrate prompts into production workflows.
 </li>
 <li>
 Work with structured and unstructured data to analyze outputs and improve model performance.
 </li>
 <li>
 Experiment with embeddings, retrieval-augmented generation (RAG), and parameter tuning.
 </li>
 <li>
 Implement prompt engineering techniques and guardrails to reduce hallucinations.
 </li>
 <li>
 Monitor and evaluate AI-driven workflows, iterating quickly to improve performance.
 </li>
 <li>
 Stay current with advancements in AI models, prompt design, and applied NLP.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 2+ years of experience in prompt engineering, LLM optimization, or applied NLP.
 </li>
 <li>
 Familiarity with LLMs such as OpenAI, Anthropic, Mistral, or Meta Llama.
 </li>
 <li>
 Strong Python skills and experience with LangChain, Hugging Face, or similar frameworks.
 </li>
 <li>
 Understanding of vector databases (Pinecone, Weaviate, Chroma) and embeddings.
 </li>
 <li>
 Ability to rapidly iterate, test, and refine prompts for different use cases.
 </li>
 <li>
 Strong problem-solving skills and an experimental mindset.
 </li>
 <li>
 Bonus: Experience applying AI in fintech, debt resolution, or regulated industries.
 
 
 </li>
 </ul>
 Why Join ClearGrid?
 
 
 <ul>
 <li>
 Be part of a company transforming debt resolution with AI and automation.
 </li>
 <li>
 High-ownership role with direct impact on product and customer outcomes.
 </li>
 <li>
 Fast-moving, iterative culture: build, test, optimize, repeat.
 </li>
 <li>
 Opportunity to grow your career at the intersection of fintech and frontier AI.
 </li>
 </ul>
</div>

AI Prompt Engineer

Alisons Technology

About the Role We&rsquo;re looking for a passionate AI Developer to design, fine-tune, and deploy next-gen AI systems. You&rsquo;ll work with open-source models, vector databases, and RAG pipelines to bring real-world applications of Machine Learning, NLP, and Generative AI to life. This role blends research with engineering&mdash;ideal for someone who thrives at the intersection of cutting-edge innovation and scalable production systems. What You&rsquo;ll Do<ul><li>Design, fine-tune, and deploy ML/NLP models (Hugging Face, LLaMA, Mistral, etc.).</li><li>Build intelligent pipelines using vector databases (Pinecone, Weaviate, FAISS, Milvus) &amp; RAG frameworks.</li><li>Apply fine-tuning techniques (LoRA, PEFT, prompt-tuning) for domain-specific tasks.</li><li>Develop end-to-end AI workflows: data prep &rarr; training &rarr; deployment.</li><li>Ensure scalability, efficiency, and reliability of production AI systems.</li><li>Stay ahead of the curve in AGI, GenAI, and NLP research and apply findings pragmatically.</li><li>Collaborate with product and engineering teams to integrate AI into applications.</li></ul>What You Bring 1&ndash;3 years of hands-on AI/ML experience. Strong Python skills with PyTorch / TensorFlow / Transformers. NLP expertise (classification, summarization, translation, Q&amp;A, chatbots). Experience with Hugging Face ecosystem (Transformers, Datasets, Tokenizers). Knowledge of vector DBs + RAG pipelines for retrieval-based AI. Familiarity with deployment tools (Docker, FastAPI, Kubernetes, AWS/GCP/Azure). Understanding of MLOps (versioning, monitoring, continuous deployment). Nice-to-Haves LangChain / LlamaIndex experience. RLHF (Reinforcement Learning from Human Feedback). Distributed training for large-scale models. Open-source AI/ML contributions. Why Join Us?<ul><li>Work on cutting-edge AI/AGI projects.</li><li>Join a collaborative, innovative team culture.</li><li>Competitive pay + growth opportunities.</li></ul>Job Type: Full-timeLocation:<ul><li>Karachi (Preferred)</li></ul>Work Location: In person

AI Developer

Maverick Enterprises

AI Developer / Machine Learning EngineerAbout the RoleWe are seeking a talented and motivated AI Developer / Machine Learning Engineer to join our team and help build the next generation of intelligent systems. You will be at the forefront of designing, developing, and deploying cutting-edge AI solutions. This is an opportunity to work on challenging problems and contribute to a project with significant real-world impact.Key Responsibilities<ul><li>Design, develop, and maintain machine learning models and algorithms.</li><li>Implement and deploy scalable AI solutions and systems.</li><li>Work with large datasets to train, test, and validate models.</li><li>Conduct research to stay up-to-date with the latest advancements in AI and machine learning.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into our products.</li><li>Optimize and fine-tune models for performance and efficiency.</li></ul>Qualifications<ul><li>Proven experience in AI development, machine learning, or a related field.</li><li>Strong programming skills in languages like Python, R, or C++.</li><li>Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Knowledge of various machine learning models (e.g., neural networks, CNNs, RNNs, and NLP).</li><li>Strong problem-solving skills and the ability to work independently.</li><li>A portfolio or past projects that showcase your skills are a plus.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per month

Ai Lead developer Front endand backend

Inoviotech

Job Title: Senior AI EngineerLocation: Karachi / Onsite Timings Evening / MorningJob Description:We are seeking an experienced Senior AI Engineer to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have deep technical expertise, strong problem-solving skills, and a passion for building scalable AI systems that deliver measurable business impact.Key Responsibilities<ul><li>Design, build, and optimize AI/ML models for a variety of use cases (NLP, computer vision, recommendation systems, predictive analytics, etc.).</li><li>Lead end-to-end solution development: data collection, preprocessing, model design, training, evaluation, and deployment.</li><li>Collaborate with cross-functional teams (Data Engineering, Product, DevOps) to integrate models into production systems.</li><li>Research and experiment with emerging AI technologies, frameworks, and tools.</li><li>Review code, provide mentorship, and promote best practices within the AI/ML team.</li><li>Monitor model performance, retraining as needed, and ensure scalability and reliability.</li><li>Prepare technical documentation and present findings to stakeholders.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (Ph.D. preferred).</li><li>5+ years of experience in AI/ML development, with at least 2 years in a senior/lead role.</li><li>Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.</li><li>Strong understanding of algorithms, data structures, and statistics.</li><li>Experience with data pipelines, cloud platforms (AWS/GCP/Azure), and MLOps tools.</li><li>Excellent problem-solving, analytical, and communication skills.</li><li>Ability to work independently and guide junior engineers.</li></ul>Nice-to-Have<ul><li>Experience with LLMs, generative AI, or reinforcement learning.</li><li>Knowledge of big data tools (Spark, Hadoop) or streaming systems (Kafka).</li><li>Contributions to open-source AI/ML projects.</li></ul>Benefits (optional)<ul><li>Competitive salary</li><li>Health insurance</li><li>Professional development opportunities</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in designing and deploying AI/ML solutions?</li><li>Which AI/ML frameworks are you most proficient in (e.g., TensorFlow, PyTorch, Scikit-learn)?</li><li>Rate your proficiency (1&ndash;5) in:</li></ul>PythonCloud platforms (AWS / GCP / Azure)MLOps / CI-CD for ML<ul><li>Describe one complex AI problem you solved and the impact of your solution. (Short answer)</li><li>What is your current notice period?</li><li>Current Salary?</li><li>Expected Salary?</li></ul>Work Location: In person

Senior AI Engineer

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