ai engineer

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senior ai engineer

junior ai engineer

HyperSoft Tech

Role Summary: An entry-level AI engineer who assists in developing AI/ML models, preprocessing data, and supporting senior engineers in AI projects.Responsibilities:<ul><li>Assist in building and training AI/ML models.</li><li>Prepare and clean datasets for analysis.</li><li>Support senior engineers in model evaluation and testing.</li><li>Document experiments and maintain code.</li><li>Learn and implement best practices in AI development.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s in CS, Data Science, AI, or related field.</li><li>Knowledge of Python and basic AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Analytical thinking and willingness to learn.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs120,000.00 per monthWork Location: In person

Junior AI Engineer

ZZ-Technologies, islamabad

Job Summary:We are seeking a skilled and innovative AI Engineer to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.Responsibilities:LLM Development &amp; Fine-Tuning<ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including LoRA, QLoRA, PEFT, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul>GPU-Based Training &amp; Optimization<ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul>Model Serving &amp; Infrastructure<ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul>Research, Experimentation &amp; Innovation<ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul>Collaboration &amp; Leadership<ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul>Preferred Qualifications:<ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul>You can share your cv on whtsapp as well. 03355707047Job Type: Full-timePay: Rs200,000.00 - Rs400,000.00 per monthWork Location: In person

Senior AI Engineer

Technology Digest inc

Job description:Technology Digest, Inc. (TDI) is a boutique-style consulting firm headquartered in Rockville, Maryland. TDI provides products and services that help commercial and government institutions by focusing on innovation, increasing effectiveness, and enhancing the quality of life. TDI is passionate about developing organic products and services that improve our everyday life.We have an opening for a Senior Test Automation Engineer. We are looking for a very detailed oriented software tester who loves to break the system in every possible way with excellent verbal and written communication skills.Roles and Responsibilities: Work closely with other developers, vendors, and integration partners to ensure that all aspects of the system have proper testing coverage and overall system reliability, performance, and quality.We are seeking a highly skilled Senior Test Engineer with expertise in automation testing for an Azure and .NET-based platform. The ideal candidate will have a strong background in test automation, performance testing, and DevOps integration while ensuring the highest quality standards for our cloud-based applications. This role requires deep technical proficiency in automation frameworks, CI/CD pipelines, and cloud testing strategies.The Senior Test Engineer will work closely with developers, DevOps engineers, and product teams to design, implement, and execute automated test solutions that enhance the scalability, security, and reliability of our applications.Key Responsibilities:1. Test Automation &amp; Framework Development<ul><li>Design, develop, and maintain test automation frameworks for Azure-based .NET applications.</li><li>Implement and optimize UI, API, and performance automation scripts using Selenium, Playwright, NUnit, xUnit, or other automation tools.</li><li>Develop automated test scripts in C# and Python for functional, regression, and integration testing.</li><li>Implement end-to-end testing for cloud-based applications deployed on Microsoft Azure.</li></ul>2. Quality Assurance &amp; Testing Strategy<ul><li>Develop test strategies, test plans, and test cases aligned with project goals and compliance requirements.</li><li>Perform comprehensive testing of web applications, APIs, microservices, and databases.</li><li>Conduct load, stress, and performance testing using tools like JMeter, k6, or Azure Load Testing.</li><li>Identify and document defects, ensuring effective tracking and resolution.</li><li>Collaborate with DevOps teams to integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions).</li></ul>3. CI/CD &amp; Cloud Testing Integration<ul><li>Ensure automated testing is embedded in the development process and integrated into CI/CD pipelines.</li><li>Work with Azure DevOps to manage builds, releases, and deployment automation testing.</li><li>Develop and execute Infrastructure as Code (IaC) test automation for cloud environments.</li><li>Perform security and compliance testing for Azure-hosted applications.</li></ul>4. Collaboration &amp; Leadership<ul><li>Mentor junior QA engineers and provide technical leadership on automation best practices.</li><li>Work closely with developers, DevOps engineers, and business analysts to identify and resolve quality issues.</li><li>Participate in code reviews and sprint planning to enhance test coverage.</li><li>Drive a culture of quality by championing automation and continuous improvement initiatives.</li></ul>Required QualificationsTechnical Skills &amp; Experience<ul><li>8+ years of experience in software quality assurance, with 5+ years focused on test automation.</li><li>Strong expertise in .NET/C# and Python for writing automation scripts.</li><li>Extensive experience with Selenium, Playwright, NUnit, xUnit, SpecFlow, or other test automation frameworks.</li><li>Expertise in Azure DevOps, CI/CD pipelines, and cloud-based application testing.</li><li>Strong understanding of REST API testing using Postman, RestAssured, or similar tools.</li><li>Experience with containerized testing in Docker/Kubernetes environments.</li><li>Proficiency in SQL and NoSQL databases for test data validation.</li><li>Hands-on experience with performance testing tools (JMeter, k6, Azure Load Testing).</li><li>Experience working in Agile/Scrum environments with a focus on automation-first testing.</li></ul>Soft Skills &amp; Competencies<ul><li>Excellent problem-solving and debugging skills.</li><li>Strong ability to analyze complex test scenarios and develop robust automation solutions.</li><li>Effective collaboration with cross-functional teams to improve testing efficiency.</li><li>Ability to mentor junior engineers and drive testing best practices.</li><li>Strong communication skills with attention to detail in documentation and reporting.</li><li>Strong compliance with HIPAA, ISMS, SOC, HITRUST AND ISO27001.</li></ul>Preferred Qualifications<ul><li>Experience with Azure security and compliance testing (e.g., penetration testing, data encryption validation).</li><li>Familiarity with IaC testing using Terraform or Bicep.</li><li>Certifications such as Microsoft Certified: Azure DevOps Engineer Expert or ISTQB Advanced Level Test Automation Engineer.</li><li>Experience with AI-driven test automation tools.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your current monthly in salary in USD ? </li><li>What is your expected monthly salary in USD?</li><li>Do you have any international wire transfer account e.g. Wise, Payoneer etc. </li><li>What is your notice period in days?</li></ul>

Senior Test Automation Engineer

KEMAT CONSULTING

Position Title: Data Engineer Architect Department: Data &amp; Technology Employment Type: Full-Time Location: On-site &mdash; Blue Area, IslamabadTime: 9am-5pm (Uk-Time)Position OverviewThe Data Engineer Architect is responsible for designing robust, scalable, and efficient data architectures and pipelines to support enterprise-wide analytics, reporting, and machine learning initiatives. This role ensures seamless ingestion, transformation, governance, and availability of data across cloud environments. The architect will drive technical direction, security, and quality across all data systems while supporting migration from legacy infrastructures to modern cloud-based platforms.Key Responsibilities1. Data Architecture &amp; Design<ul><li>Design scalable, secure, and future-ready enterprise data architectures.</li><li>Build strong and flexible data models, ingestion frameworks, and transformation layers.</li><li>Define schemas for various data types (transactional, structured, unstructured, CRM, web analytics).</li><li>Create data environments that support both experimental (&ldquo;Lab&rdquo;) and production (&ldquo;Factory&rdquo;) analytics.</li><li>Build structures enabling predictive, prescriptive analytics and ML/AI model training.</li><li>Ensure architecture supports BI/reporting tools such as PowerBI.</li></ul>2. Data Engineering &amp; Pipeline Development<ul><li>Design and implement robust ETL/ELT data pipelines for diverse internal and external data sources.</li><li>Develop high-performance batch and real-time data processing pipelines using Spark, Kafka, Databricks, or similar tools.</li><li>Optimize pipelines for performance, efficiency, and cost-effectiveness.</li><li>Support ingestion and migration of legacy data into Snowflake or other cloud warehouses.</li></ul>3. Cloud &amp; Infrastructure<ul><li>Architect cloud-based data engineering, BI, and data science solutions on Azure, AWS, or GCP.</li><li>Build and maintain modern cloud data lakes and transformed data layers.</li><li>Work with engineering teams to design complex cloud-based environments.</li><li>Implement CI/CD pipelines and automation for data workflows.</li><li>Lead migration of legacy physical infrastructures into cloud platforms.</li></ul>4. Security, Governance &amp; Monitoring<ul><li>Apply &ldquo;quality by design&rdquo; and &ldquo;security by design&rdquo; principles in all architectures.</li><li>Ensure compliance with GDPR and company data governance frameworks.</li><li>Implement data validation, monitoring, alerting, and telemetry systems (e.g., Sifflet).</li><li>Maintain metadata, data lineage, documentation, and governance structures.</li><li>Partner with governance teams to embed real-time alerting and monitoring.</li></ul>5. Collaboration &amp; Leadership<ul><li>Work closely with the Head of Data Engineering &amp; Data Platform to align with enterprise strategy.</li><li>Collaborate with product managers, data scientists, and analytics teams to translate business needs into actionable data solutions.</li><li>Provide technical guidance, direction, and support to engineers and project teams.</li><li>Communicate architectural decisions and technical recommendations clearly to stakeholders.</li></ul>Required QualificationsEducation<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li></ul>Experience<ul><li>5+ years of experience in Data Engineering or Data Architecture.</li><li>Proven experience architecting cloud-based data engineering, BI, and/or data science solutions.</li><li>Experience migrating legacy data solutions into the cloud (refactoring, modernization).</li><li>Strong experience with database technologies, data modeling, and schema design.</li><li>Experience building data structures that support first- and third-party data analysis under GDPR guidelines.</li></ul>Technical Skills<ul><li>Very strong SQL skills.</li><li>Proficiency in Python and advanced data modeling.</li><li>Experience with Snowflake, Azure Synapse, BigQuery, or Redshift.</li><li>Hands-on experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend).</li><li>Familiarity with Spark, Kafka, Databricks, Hadoop ecosystem.</li><li>Experience with Docker, Kubernetes, Git, DevOps, and CI/CD workflows.</li><li>Strong understanding of data warehousing methodologies (Kimball/Inmon).</li><li>Knowledge of telemetry, monitoring, and alerting tools.</li></ul>Preferred Skills<ul><li>Professional certifications (Azure Data Engineer, AWS Big Data, Google Data Engineer).</li><li>Experience supporting AI/ML teams with high-quality training datasets.</li><li>Experience with MLOps or ML pipeline automation.</li><li>Strong analytical, architectural, and communication abilities.</li></ul>Soft Skills<ul><li>Excellent communication and documentation skills.</li><li>Strong problem-solving and critical thinking abilities.</li><li>Leadership mindset with the ability to mentor junior engineers.</li><li>Detail-oriented with focus on data quality, accuracy, and governance.</li></ul>What We Offer<ul><li>Competitive salary and comprehensive benefits package.</li><li>On-site working environment in Blue Area, Islamabad.</li><li>Exposure to modern technology stacks and architectural frameworks.</li><li>Opportunities for continuous learning, certifications, and career growth.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthWork Location: In person

Data Engineer Architect

Datamatics Global Services Ltd

<div>Job Title: Lead Confluent Kafka Engineer/Architect 
Location: Remote (Pak) / Hybrid (Riyadh, KSA) 
Employment Type: Full-Time / Contract-to-Hire 
Experience Level: 10+ years (Senior/Lead) 
 
Role Summary 
As a Lead Confluent Kafka Engineer, you'll architect, design, setup, install, implement and optimize high-throughput data streaming solutions using Confluent Platform and Apache Kafka. You'll lead a team of engineers in delivering production-grade pipelines, ensuring scalability, reliability, and security. This role involves hands-on development, mentoring, and collaborating with data architects, DevOps, and stakeholders to implement event-driven architectures. You'll champion best practices in real-time data processing, from proof-of-concepts to enterprise deployments, including full lifecycle management from installation to optimization. 
 
Key Responsibilities<ul><li>
Architecture &amp; Design: Lead the design of scalable Kafka clusters and Confluent-based ecosystems (e.g., Kafka Streams, ksqlDB, Schema Registry, Connect) for on-prem, hybrid, and multi-cloud (GCP) environments.</li><li>
Implementation &amp; Development: Build and maintain real-time data pipelines, integrations, and microservices using Kafka producers/consumers; integrate with tools like Flink, Spark, or ML frameworks for advanced analytics.</li><li>
Installation &amp; Setup: Oversee the end-to-end installation and initial configuration of Confluent Platform and Apache Kafka clusters, including:<ul><li>
Deploying Confluent Enterprise/Community editions on Kubernetes (via Helm/Operator), bare-metal servers, or managed cloud services (e.g., Confluent Cloud, GCP).</li><li>
Configuring brokers, ZooKeeper/KRaft mode, topics, partitions, replication factors, and security settings (e.g., SSL/TLS, SASL, ACLs) using Ansible, Terraform, or Confluent CLI.</li><li>
Setting up auxiliary components like Schema Registry, Kafka Connect clusters, and monitoring agents (e.g., JMX exporters) with automated scripts for reproducible environments.</li><li>
Performing initial health checks, load testing (e.g., with Kafka's performance tools), and integration with existing infrastructure (e.g., VPC peering, load balancers).</li></ul></li><li>
Operations &amp; Maintenance: Oversee monitoring, troubleshooting, performance tuning, and lifecycle management (upgrades, patching) of Kafka/Confluent instances; implement DevSecOps practices for CI/CD pipelines.</li><li>
Team Leadership: Mentor junior engineers, conduct code reviews, and drive technical proofs-of-concept (POCs); gather requirements and define standards for Kafka as a managed service (e.g., access controls, documentation).</li><li>
Optimization &amp; Innovation: Ensure high availability (&gt;99.99%), fault tolerance, and cost-efficiency; explore emerging features like Kafka Tiered Storage or Confluent Cloud integrations for AI workloads.</li><li>
Collaboration &amp; Delivery: Partner with cross-functional teams (data engineers, architects, product owners) to align streaming solutions with business goals; provide thought leadership on event-driven patterns.</li><li>
Security &amp; Compliance: Implement RBAC, encryption, and auditing; conduct root-cause analysis for incidents and ensure GDPR/HIPAA compliance in data flows.</li></ul>
Required Qualifications &amp; Skills<ul><li>
Bachelor's/Master's in Computer Science, Engineering, or related; certifications like Confluent Developer/Administrator a plus.</li><li>
10+ years in software engineering; 5+ years hands-on with Apache Kafka &amp; Confluent Platform (Cloud/Enterprise editions).</li><li>
Proficiency in Java/Scala/Python (8/11+); Kafka Streams/Connect/ksqlDB; Schema Registry; REST/gRPC APIs.</li><li>
Event-driven/microservices design; data pipeline optimization; handling high-volume streams (TB/day scale).</li><li>
Expertise in containerization (Docker/Kubernetes); CI/CD (Jenkins/GitHub Actions); Terraform/Ansible for IaC.</li><li>
Multi-cloud experience (AWS, GCP, Azure); monitoring tools (Prometheus, Grafana, Confluent Control Center).</li><li>
Experience with streaming integrations (e.g., Flink, Spark Streaming for CDC).
</li><li>Contributions to open-source Kafka projects or publications on streaming architectures.
</li><li>Knowledge of AI/ML data pipelines (e.g., Kafka + TensorFlow/PyTorch).
</li><li>Familiarity with observability tools and security (OAuth, Kerberos).
</li><li>Strong problem-solving, communication, and leadership; experience leading POCs and cross-team projects.</li><li>
Agile/Scrum leadership in fast-paced environments.</li><li>
Experience in client facing roles and leading teams.</li></ul>
A5ydtxxGoM</div>

Lead Confluent Kafka Engineer / Architect

About the RoleWe are looking for a highly skilled AI Lead to drive the development and implementation of AI-based solutions across our products. The ideal candidate will lead a team of AI/ML engineers, design scalable AI architectures, and ensure that AI models meet business objectives while maintaining high quality and performance.Key Responsibilities<ul><li>Lead the AI/ML team in designing, developing, and deploying AI solutions.</li><li>Develop AI models for predictive analytics, natural language processing, computer vision, or other AI domains.</li><li>Collaborate with product managers, developers, and stakeholders to align AI solutions with business goals.</li><li>Evaluate, select, and implement appropriate AI frameworks and technologies.</li><li>Ensure AI models are scalable, secure, and optimized for performance.</li><li>Conduct code reviews, testing, and validation of AI models.</li><li>Mentor and guide junior AI/ML engineers in best practices.</li><li>Stay updated with latest AI research, tools, and industry trends.</li><li>Provide technical documentation and maintain project workflows.</li></ul>Requirements &amp; Skills<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Minimum 5 years of experience in AI/ML development and leadership roles.</li><li>Strong expertise in Python, R, or Java, and AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn.</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Knowledge of cloud platforms (AWS, Azure, GCP) and deployment of AI models.</li><li>Familiarity with APIs, data pipelines, and software development lifecycle (SDLC).</li><li>Strong problem-solving, analytical, and leadership skills.</li><li>Excellent communication and collaboration abilities.</li></ul>Preferred (Optional)<ul><li>Experience in AI-driven products for real-world applications.</li><li>Knowledge of large language models (LLMs), generative AI, or advanced deep learning techniques.</li><li>Experience in AI project management and Agile methodologies.</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs230,000.00 per monthWork Location: In person

AI Lead

Value Engineering

Job Title: Senior Full Stack Stack Developer Experience: 3&ndash;5+ years Key Responsibilities:<ul><li>Develop and maintain full-stack web applications using MongoDB, Express.js, React, and Node.js (MERN stack).</li><li>Build and maintain backend APIs using FastAPI with high performance and security in mind.</li><li>Collaborate with frontend and backend teams to design, implement, and optimize system architecture.</li><li>Write clean, maintainable, and testable code following best practices.</li><li>Conduct code reviews, ensure coding standards, and mentor junior developers.</li><li>Integrate third-party services and APIs, including AI/ML services if required.</li><li>Work with CI/CD pipelines and assist in deployments to cloud platforms (AWS).</li><li>Optimize application performance, troubleshoot issues, and implement fixes promptly.</li></ul>Required Skills and Experience<ul><li>MEAN Stack: Strong expertise in MongoDB, Express.js, React, Node.js.</li><li>FastAPI: Hands-on experience building backend APIs using FastAPI (Python).</li><li>Proficient in JavaScript/TypeScript, HTML5, CSS3, and frontend frameworks.</li><li>Experience with RESTful APIs, authentication, and authorization mechanisms (JWT, OAuth).</li><li>Knowledge of database design, indexing, and query optimization (MongoDB/PostgreSQL).</li><li>Familiarity with version control systems like Git/Bitbucket and CI/CD pipelines.</li><li>Strong problem-solving skills and ability to work independently as well as part of a team.</li><li>Understanding of cloud deployment (AWS/GCP/Azure) and containerization (Docker) is a plus.</li></ul>Preferred Skills<ul><li>Experience with serverless architectures and microservices.</li><li>Knowledge of WebSockets, GraphQL, or real-time applications.</li><li>Exposure to AI/ML integrations and working with Python ML frameworks.</li><li>Familiarity with unit testing, integration testing, and TDD.</li><li>Prior experience mentoring junior developers or leading small teams.</li></ul>Educational Qualification<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience.</li></ul>Why Join Us<ul><li>Work on high-performance, cloud-deployed applications with cutting-edge technologies.</li><li>Collaborate with a dynamic, innovative, and skilled team.</li><li>Opportunity to grow technically and professionally, including exposure to AI and system architecture.</li><li>Flexible and supportive work environment focused on results and innovation.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable commuting to Bahria Phase 4 on Daily Basis?</li></ul>Work Location: In person

MERN Stack Developer Lead

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