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junior ai ml engineer

10xengineers

Level: Senior (5-7 years) Location: Lahore, Pakistan Job Type: Full-timeAbout the RoleWe are seeking a senior engineer to join our high-performance team, which partners with leading AI chip companies to deliver cutting-edge software that enables end-users to run Vision and Generative AI inference workloads efficiently on custom accelerators.As a Senior Machine Learning Engineer, you will be a key technical member of the team, working in a hands-on role to contribute to the design and development of frameworks, APIs, and runtime integrations that enable AI models to run seamlessly on next-generation hardware. You will also help shape technical direction, mentor junior engineers, and collaborate closely with the client&rsquo;s compiler/runtime and hardware architecture teams.This is not a traditional applied ML role. Instead, it requires deep software engineering expertise with strong exposure to AI/ML systems, ideal for someone who thrives in systems programming and performance optimization, and wants to pivot into the AI/ML domain while continuing to build on their proven experience in delivering robust, high-quality software. In this role, you will directly contribute to enabling large-scale AI workloads on custom hardware.What you'll do&#9679; Define and implement software architecture and design patterns to ensure frameworks and applications are scalable, maintainable, and reusable.&#9679; Architect and develop Python/C++ frameworks for integrating ML models with custom runtimes.&#9679; Design and implement high-performance APIs, bindings, and libraries to support inference of Vision and Generative AI models.&#9679; Build and maintain Model Zoo, loaders, and optimization workflows to simplify model deployment.&#9679; Profile, debug, and optimize performance-critical paths in runtime and framework layers.&#9679; Develop real-time pipelines and applications using GStreamer, OpenCV, and other multimedia/ML frameworks.&#9679; Collaborate with compiler/runtime teams to ensure smooth integration of graph-level and operator optimizations.&#9679; Mentor and guide junior engineers; enforce software engineering best practices across design, testing, CI/CD, and code reviews.&#9679; Own end-to-end delivery of software components: define scope, set timelines, and drive execution.What we're looking for &#9679; 5&ndash;7+ years of professional experience in software engineering, ideally in systems programming or performance-critical applications.&#9679; Strong programming expertise in C++ (C++11/14/17) and Python.&#9679; Experience with C++/Python bindings (e.g., pybind11, SWIG).&#9679; Strong fundamentals in:&#9675; Data structures and algorithms&#9675; Concurrency, threading, and synchronization&#9675; Memory management, caching, and performance profiling&#9675; Networking and streaming systems&#9679; Exposure to ML frameworks (PyTorch, TensorFlow, ONNX Runtime) and how they interface with hardware runtimes.&#9679; Experience building frameworks, SDKs, or toolchains used by other developers or customers.Bonus Points&#9679; Hands-on experience deploying vision or Generative AI models (transformers, diffusion models, LLM inference).&#9679; Experience with multimedia/vision pipelines (e.g., GStreamer plugin development).&#9679; Contributions to open-source ML systems projects (e.g., Hugging Face, ONNX Runtime, TensorRT).&#9679; Prior experience in a technical lead or client-facing role.What join 10xEngineers?&#9679; Opportunity to work on state-of-the-art AI systems with a world-class chip company.&#9679; A chance to be the anchor of a team, shaping its technical culture and delivery standards.&#9679; Continuous exposure to Vision and Generative AI workloads without being tied to repetitive applied ML tasks.&#9679; Growth path into architectural leadership across multiple projects.Job Type: Full-timeWork Location: In person

Senior Machine Learning Engineer - AI Systems & Frameworks

Alpha Group of Companies

Company OverviewWe build scalable and intelligent systems to tackle complex real-world challenges in manufacturing, healthcare, retail, and e-commerce. Our culture fosters continuous learning, collaboration, and cutting-edge experimentation.Job SummaryWe are looking for a Senior AI/ML Engineer with strong hands-on expertise in developing, deploying, and scaling advanced machine learning and generative AI solutions. This role is designed for someone with deep skills in core AI areas (LLMs, deep learning, data pipelines, and MLOps), while being comfortable exploring adjacent technologies.You&rsquo;ll work on end-to-end AI/ML pipelines, from data preparation to production deployment, and lead initiatives that push the boundaries of Generative AI, LLM customization, and AI-first applications. You will also mentor team members and collaborate with cross-functional teams to deliver enterprise-grade AI systems.Key Responsibilities<ul><li>Design, train, and deploy ML/DL models for NLP, Computer Vision, or multimodal use cases.</li><li>Work with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Hugging Face, JAX, Diffusers.</li><li>Apply transfer learning, fine-tuning, and optimization techniques for LLMs and generative models.</li><li>Fine-tune and customize LLMs (GPT, LLaMA, Mistral, Grok, etc.) for domain-specific tasks.</li><li>Implement RAG (Retrieval-Augmented Generation), PEFT (LoRA/adapters), quantization, and prompt engineering.</li><li>Build and deploy generative systems for text, images, or speech.</li><li>Develop and maintain ML pipelines with MLflow, Kubeflow, TFX, or ZenML.</li><li>Use Docker, Kubernetes, and CI/CD pipelines to ensure scalable deployments.</li><li>Monitor and manage deployed models (performance, drift, retraining cycles).</li><li>Build robust data pipelines using Apache Airflow, Spark, or Dask.</li><li>Handle large, complex datasets with proper feature engineering and augmentation strategies.</li><li>Deploy and manage ML workloads on AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML, Hugging Face Spaces.</li><li>Ensure fairness, explainability (SHAP, LIME), and compliance with GDPR and AI regulations.</li><li>Mentor junior engineers and contribute to best practices in AI/ML development.</li><li>Collaborate with product managers, data engineers, and developers to deliver impactful AI solutions.</li><li>Stay updated with AI research (arXiv, NeurIPS, ICML) and apply learnings to production solutions.</li></ul>Required Qualifications &amp; Skills<ul><li>Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow, Scikit-learn).</li><li>Working familiarity with R, Julia, Scala, or Java is a plus.</li><li>Hands-on experience with Hugging Face, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow.</li><li>Proficiency with at least one major cloud provider (AWS, GCP, Azure) for ML workloads.</li><li>Experience with CI/CD, Docker, Kubernetes, Git for scalable ML deployments.</li><li>Hands-on experience with LLMs, Diffusion Models, and RAG pipelines.</li><li>Strong data engineering skills with Spark/Dask, and managing large-scale datasets.</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>Proven ability to mentor junior engineers and lead AI/ML initiatives.</li></ul>Preferred Qualifications<ul><li>Experience applying AI in Manufacturing, Healthcare, Retail, or E-Commerce.</li><li>Experience with Edge AI and IoT platforms (e.g., NVIDIA Jetson, TPUs).</li><li>Contributions to open-source, patents, or publications in AI/ML.</li><li>Familiarity with AI agent frameworks (LangGraph, CrewAI, Auto-GPT).</li></ul>Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, Electrical Engineering, or related fields.</li><li>PhD or research experience is a plus, but not mandatory.</li><li>5&ndash;7+ years of experience in AI/ML roles, with proven impact in production systems or R&amp;D projects.</li></ul>What We Offer<ul><li>High-impact projects leveraging Generative AI, LLMs, and MLOps.</li><li>Continuous learning with training budgets, cloud credits, and conference sponsorships.</li><li>Competitive salary and benefits, performance-based bonuses.</li><li>Flexible hybrid/remote work options.</li><li>Collaborative, innovative environment with opportunities for growth.</li></ul>Equal Opportunity StatementWe value diversity and inclusion, and welcome applications from all backgrounds and experiences.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Level: Junior (1&ndash;3 years) Location: Lahore, Pakistan Job Type: Full-time&#8203;About the roleWe are seeking a Junior Machine Learning Engineer to join our high-performance team collaborating with leading AI chip companies. Our work focuses on developing software that enables users to run Vision and Generative AI inference workloads efficiently on custom accelerators.This is a hands-on engineering role where you will contribute to the development of frameworks, APIs, and runtime integrations that power AI models on next-generation hardware. You will work alongside senior engineers and coordinate with compiler/runtime and hardware architecture teams.This is not a traditional applied ML position. It suits someone who wants to build a strong foundation in AI/ML systems, performance optimization, and software engineering, while contributing to production-grade AI enablement.Key Responsibilities<ul><li>Assist in implementing scalable software architecture and design patterns.</li><li>Help develop Python/C++ frameworks that integrate ML models with custom runtimes.</li><li>Contribute to building high-performance APIs, bindings, and libraries for Vision and Generative AI inference.</li><li>Support Model Zoo maintenance, model loaders, and optimization workflows for easier deployment.</li><li>Profile, debug, and optimize performance-critical sections in framework and runtime layers.</li><li>Contribute to real-time pipelines using GStreamer, OpenCV, and related frameworks.</li><li>Collaborate with compiler/runtime teams on graph-level and operator optimizations.</li><li>Apply best practices in design, testing, CI/CD, and code reviews.</li><li>Participate in end-to-end software delivery, including defining scope and meeting project timelines.</li></ul>Requirements<ul><li>1 &ndash; 3 years of professional or internship experience in software engineering, preferably in systems programming or performance-related domains.</li><li>Proficiency in C++ (C++11/14) and Python.</li><li>Familiarity with C++/Python bindings such as pybind11 or SWIG.</li><li>Strong understanding of:</li><li>Data structures and algorithms</li><li>Concurrency, threading, and synchronization</li><li>Memory management, caching, and performance profiling</li><li>Networking and streaming systems</li><li>Some exposure to ML frameworks such as PyTorch, TensorFlow, or ONNX Runtime and their integration with hardware runtimes.</li><li>Interest in building frameworks, SDKs, or toolchains used by other developers.</li></ul>Bonus Points<ul><li>Experience working with Vision or Generative AI models such as transformers, diffusion models, or LLM inference.</li><li>Familiarity with multimedia and vision pipelines (for example, GStreamer).</li><li>Contributions to open-source projects or personal ML systems experiments (for example, ONNX Runtime or Hugging Face).</li><li>Strong motivation to learn and work in a collaborative technical environment.</li></ul>Why Join 10xEngineers<ul><li>Work with a world-class chip company on state-of-the-art AI systems.</li><li>Build a solid foundation in AI software and performance engineering.</li><li>Continuous exposure to Vision and Generative AI workloads without repetitive applied ML tasks.</li><li>Grow into more advanced technical roles across multiple AI projects.</li></ul>Job Type: Full-timeWork Location: In person

Junior Machine Learning Engineer - AI Systems & Framework

Topdot Pvt Ltd

We are seeking a DevOps Engineer with a minimum of 4 years of experience to join our high-performance engineering team. In this role, you will play a key part in shaping and maintaining scalable, secure, and efficient cloud infrastructure while leveraging AI-powered tools and automation to optimize operations. You&rsquo;ll collaborate closely with development teams to streamline deployment pipelines, ensure system reliability, and explore AI-driven solutions for infrastructure monitoring, predictive maintenance, and automation.Responsibilities<ul><li>Design, implement, and maintain scalable cloud infrastructure primarily on AWS (or other cloud providers).</li><li>Develop and manage CI/CD pipelines to automate build, test, and deployment processes.</li><li>Integrate AI and ML tools to enhance monitoring, predictive analytics, anomaly detection, and automated troubleshooting.</li><li>Monitor and troubleshoot infrastructure and application performance issues using both traditional and AI-driven observability tools.</li><li>Collaborate with development, QA, and operations teams to support seamless application releases.</li><li>Implement and enforce infrastructure security best practices and compliance requirements.</li><li>Write and maintain Infrastructure-as-Code (IaC) using Terraform or CloudFormation.</li><li>Manage container orchestration platforms, particularly Kubernetes and Docker.</li><li>Maintain high availability and disaster recovery strategies across environments.</li><li>Drive cost optimization efforts using AI-driven insights and regular infrastructure reviews.</li><li>Mentor junior engineers and contribute to knowledge sharing across teams, including AI adoption in DevOps practices.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related technical field.</li><li>4+ years of hands-on experience in a DevOps role.</li><li>Strong expertise with AWS (or other cloud providers like GCP or Azure).</li><li>Proficiency in scripting languages such as Python, Bash, or Go, including AI/ML scripting frameworks (e.g., PyTorch, TensorFlow) a plus.</li><li>Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.</li><li>Hands-on experience with Docker and Kubernetes in production environments.</li><li>Solid understanding of Terraform, CloudFormation, or other IaC tools.</li><li>Familiarity with Git-based workflows and version control best practices.</li><li>Strong problem-solving skills and a proactive, ownership-driven mindset, including leveraging AI for operational efficiency.</li></ul>Preferred Qualifications<ul><li>Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or AI-driven monitoring platforms.</li><li>Familiarity with configuration management tools like Ansible, Chef, or Puppet.</li><li>Relevant certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or AI/ML certifications.</li><li>Experience with security and compliance standards such as SOC2 or ISO 27001.</li><li>Hands-on experience implementing AI/ML models to optimize DevOps processes, automate incident response, or drive predictive analytics.</li></ul>Benefits<ul><li>Competitive salary and benefits package</li><li>Opportunity to work on challenging and impactful projects</li><li>Work with a talented and experienced team</li><li>Be a part of a growing and innovative company</li></ul>How to ApplyIf you are passionate about software development, have strong leadership skills, and enjoy working in a collaborative and fast-paced environment, we would love to hear from you. Apply here or at hr@topdot.pkJob Type: Full-timePay: From Rs200,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Current salary in PKR?</li><li>Expected salary in PKR?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>DevOps: 4 years (Required)</li></ul>Work Location: In person

Senior DevOps Engineer

Digixvalley Pvt Ltd

We are looking for a passionate and proactive Junior AI Engineer &ndash; Conversational AI &amp; RAG Systems with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to building intelligent conversational systems, RAG pipelines, and AI-powered customer service automation. You will assist in developing chatbots, managing vector databases, integrating LLMs, and optimizing real-time AI responses.Key Responsibilities:<ul><li>Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.</li><li>Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.</li><li>Work with Qdrant and embedding models to manage collections, vectors, and similarity search.</li><li>Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.</li><li>Participate in processing training data, embeddings, and conversation history pipelines.</li><li>Implement and refine LLM-based intent detection, response ranking, and fallback systems.</li><li>Collaborate on model optimization, prompt tuning, and improving response accuracy.</li><li>Assist in deploying real-time AI systems for customer service automation.</li><li>Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.</li><li>Write clean, maintainable, and well-documented code for AI modules.</li><li>Stay updated on conversational AI, RAG methodologies, LLM improvements, and vector database innovations.</li><li>Support integrating AI services into cloud environments and multi-tenant architectures.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>0.5 &ndash; 2 years of experience working on AI/ML or chatbot projects.</li><li>Hands-on experience with LLMs (OpenAI, Ollama, Hugging Face) and prompt engineering.</li><li>Understanding of vector databases such as Qdrant, Pinecone, or ChromaDB.</li><li>Experience working with embedding models, semantic search, or RAG pipelines.</li><li>Proficiency in Python, especially FastAPI, async workflows, and API development.</li><li>Familiarity with supervised/unsupervised ML concepts and evaluation techniques.</li><li>Understanding of REST APIs, Git, and version control workflows.</li><li>Good analytical, debugging, and problem-solving skills.</li><li>Ability to work in a collaborative, fast-paced engineering environment.</li><li>Exposure to cloud platforms (AWS/GCP/Azure) for deploying AI applications.</li><li>Basic understanding of MLOps, retraining pipelines, or model monitoring.</li></ul>Job Type: Full-timeWork Location: In person

Associate AI Engineer

H2o Labs

Job DescriptionH2O Labs is seeking a highly skilled AI/ML &amp; Data Engineer to join our innovative team. The ideal candidate will have strong expertise in Python, AI/ML, data engineering, SQL, Azure cloud services, and Power BI, with experience deploying models into production.Roles &amp; Responsibilities<ul><li>General Introduction &amp; Experience</li><li>Introduce yourself and highlight relevant AI/ML and data engineering experience.</li><li>Python &amp; AI/ML (Core Requirement)</li><li>Proficient in Python and ML/AI libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Experience building NLP models using libraries/APIs such as OpenAI, Hugging Face.</li><li>Design, develop, and evaluate ML models; provide examples of recent projects, challenges, and outcomes.</li><li>Experience in fine-tuning and deploying LLMs.</li><li>SQL &amp; Data Engineering</li><li>Write complex SQL queries: DDL, DML, joins, CTEs, window functions.</li><li>Optimize SQL queries for performance improvements.</li><li>Build and maintain ETL pipelines using relevant tools/frameworks.</li><li>Azure Cloud (Mandatory Requirement)</li><li>Hands-on experience with Azure services: Azure Data Lake, Azure ML, Databricks, Functions, etc.</li><li>Deploy ML models on Azure ML; explain the deployment process.</li><li>Familiarity with Azure Data Lake storage formats like Parquet, Delta.</li><li>Power BI</li><li>Create dashboards to deliver actionable insights.</li><li>Comfortable writing DAX measures and creating interactive visuals.</li><li>Architecture &amp; System Thinking</li><li>Design system/data architecture diagrams using Visio, Draw.io, Lucidchart, or similar tools.</li><li>Build end-to-end AI/ML pipelines: from data ingestion to model deployment.</li><li>Production Deployment</li><li>Deploy models from Jupyter Notebook to production using CI/CD pipelines and monitoring tools.</li><li>Monitor and maintain model performance post-deployment.</li><li>Preferred / Bonus Skills</li><li>Experience with R programming language.</li><li>Familiarity with Dynamics 365 CRM.</li><li>Knowledge of AI agent services, Hugging Face, or LLM-based applications.</li><li>Experience in government or enterprise-level projects.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs500,000.00 per monthWork Location: In person

Senior AI/ML Engineer (Azure)

Confiz

<div>We are seeking an Engineer with hands-on experience in AI/ML, Generative AI (GenAI), and full-stack development to support the design, development, and deployment of modern enterprise applications. This role involves building scalable AI-driven features, integrating ML models into cloud-native systems, and contributing to web application development using Java and React.js. You will work closely with cross-functional teams to ensure smooth integration, strong performance, and secure implementation across platforms.
Responsibilities:
<ul><li>Design and implement AI/ML features and integrate with Generative AI technologies.</li>
<li>Collaborate with data science and engineering teams to deploy AI/ML solutions into cloud infrastructure and enterprise applications.</li>
<li>Optimize AI/ML pipelines for performance, real-time data handling, and scalability; develop APIs for seamless system interactions.</li>
<li>Contribute to backend and frontend development of web applications using Java and React.js.</li>
<li>Conduct testing, benchmarking, troubleshooting, and documentation for both AI/ML components and web application features.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Engineering, or a related technical field.</li>
<li>1+ year of experience in AI/ML, Generative AI, or software development with exposure to integrating AI-driven components into applications.</li>
<li>Experience with Java and React.js for web application development.</li>
<li>Understanding of building or working with scalable AI/ML systems, model integration, or data pipelines.</li>
<li>Strong problem-solving skills, willingness to learn, and ability to work in collaborative environments.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Generative AI & Full-Stack Engineer (Java/React.js)

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