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soc engineer / cyber security engineer Jobs in Karachi

soc engineer / cyber security engineer

intelligence engineer

Astrik

We&rsquo;re Hiring: AI Engineer (Onsite)Are you passionate about Artificial Intelligence and eager to work on cutting-edge projects that push the boundaries of what&rsquo;s possible?We&rsquo;re looking for talented AI Engineers with 1&ndash;5 years of experience to join our innovative team!What You&rsquo;ll Do:Design, develop, and deploy AI and ML models for real-world applications.Work across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI (LLMs, diffusion models, etc.).Integrate AI models into scalable backend systems and APIs.Research and experiment with the latest tools and frameworks to improve performance and accuracy.Technical Skills We&rsquo;re Looking For:Programming: Python (NumPy, Pandas, Scikit-learn), JavaScript/TypeScript (optional)Deep Learning Frameworks: TensorFlow, PyTorch, KerasNLP &amp; LLMs: Hugging Face Transformers, LangChain, OpenAI API, vector databases (Pinecone, FAISS, Chroma)Computer Vision: OpenCV, YOLO, Detectron2, CLIP, Stable DiffusionMLOps: MLflow, Docker, Kubernetes, FastAPI, RESTful API integrationData Engineering: SQL, ETL pipelines, data preprocessing, feature engineeringCloud &amp; Deployment: AWS, Azure, or Google Cloud (SageMaker, Vertex AI, etc.)Bonus Skills: Prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuningExperience Required: 1 to 5 yearsLocation: Onsite (details will be shared during the interview)Salary: Competitive &mdash; based on skill set and experienceIf you love building intelligent systems, experimenting with AI models, and collaborating with passionate innovators &mdash; we&rsquo;d love to meet you!Job Type: Full-timeWork Location: In person

AI Engineer (Onsite)

digital.enterprises

<div>
 AI Engineer Build the Real-Time Intelligence of ADAPT
 
 
 
 About Digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the gas capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 About The Role
 
 
 
 Were seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. Youll build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 
 
 
 </li>
 </ul>
 System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 
 
 
 </li>
 </ul>
 AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 
 
 
 </li>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 
 
 
 </li>
 </ul>
 Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 
 
 
 </li>
 </ul>
 Technical Expertise
 
 
 LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 
 
 
 </li>
 </ul>
 Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 
 
 
 </li>
 </ul>
 AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 
 
 
 </li>
 </ul>
 Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and SOLID design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and CI/CD pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations (mandatory).
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 
 
 
 </li>
 </ul>
 Why Join Us
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. Youll join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
</div>

AI Engineer

Karat

<div>
 
 Come join Karat's
 
 
 Interview Engineer
 
 
 Community!
 
 
 
 Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting.
 
 
 This is a
 
 contractor/freelancer
 
 opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries on our website, and require that resumes be submitted in English.
 
 
 
 What Interview Engineers do:
 
 
 
 Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will:
 
 
 <ul>
 <li>
 
 Interview&mdash;
 
 Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge.
 </li>
 <li>
 
 Evaluate&mdash;
 
 Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach.
 </li>
 <li>
 
 Partner&mdash;
 
 Collaborate with Karat to test content, processes, and products.
 
 
 </li>
 </ul>
 
 The experience you will bring:
 
 
 
 <ul>
 <li>
 3+ years of experience as a Software Developer or Engineer
 </li>
 <li>
 Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills
 </li>
 <li>
 Reliable access to a working webcam, microphone, and a stable Internet connection
 </li>
 <li>
 Experience conducting technical interviews is preferred (e.g., data structures, algorithms)
 
 
 </li>
 </ul>
 While we review your application, learn more about life as an Interview Engineer by watching this video!
 
 
 Additional Information
 
 
 By applying for a position, you consent to the processing of your personal data in accordance with Karat's Employee and Contractor Privacy Notice found here.
</div>

Interview Engineer (Pakistan)

Optimize BPO & IT Services

We&rsquo;re Hiring: Senior Computer Vision EngineerLocation: Karachi, PakistanJobType: On-site / HybridExperience Required: 2&ndash;4 YearsAbout the RoleWe are seeking Computer Vision Engineer to join our dynamic and innovative team! The ideal candidates will have hands-on experience in developing, optimizing, and deploying computer vision algorithms and models.This role focuses purely on Computer Vision, working on projects involving:Image processingObject detectionTrackingSegmentationVisual analyticsYou&rsquo;ll collaborate closely with cross-functional teams to build real-world AI-driven solutions that enhance product intelligence and automation.Key ResponsibilitiesDesign, develop, and implement state-of-the-art computer vision algorithms for real-world applications.Work on image and video analysis, object detection, classification, tracking, and 3D vision tasks.Optimize models for real-time performance and scalability.Conduct research and stay up to date with the latest advancements in computer vision and deep learning.Collaborate with software engineers and data scientists to integrate vision models into production systems. Perform model validation, testing, and continuous improvement.Manage end-to-end vision pipelines &mdash; from dataset preparation to model deployment.RequirementsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related field.2&ndash;4 years of experience in Computer Vision or related AI/ML domains.Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV.Strong understanding of image processing, feature extraction, and neural network architectures (CNNs, YOLO, etc.).Experience with GPU acceleration and optimization.Hands-on experience with data annotation, training pipelines, and version control (Git). Ability to work independently as well as collaboratively in a hybrid/on-site setup.Preferred Skills:Familiarity with 3D vision, SLAM, or multi-camera systems.Experience with edge deployment or computer vision in embedded systems.Knowledge of MLOps practices for model lifecycle management.Why Join UsOpportunity to work on cutting-edge computer vision projects.Collaborative and learning-driven environment.Hybrid flexibility with a focus on innovation and growth.Competitive Salary and growth opportunities.If you are a fit for the role, send your resume to careers@xloopdigital.com with the subject line &quot;Computer Vision Engineer&quot;.Job Type: Full-timeWork Location: In person

Senior Computer Vision Engineer

SuperNova Solutions Pvt. Ltd.

Position Title: Database Engineer (ETL &amp; Data Modeling)We are seeking a skilled and detail-oriented Database Engineer with expertise in ETL development, data modeling, and database optimization. The ideal candidate will design and manage scalable data pipelines to support analytics, AI-driven reporting, and business intelligence initiatives.Key Responsibilities:<ul><li>Design, develop, and maintain ETL pipelines to extract data from ERP and business systems (SAP B1, Dynamics 365, SQL Server, HANA, etc.).</li></ul><ul><li>Map and load extracted data into star schema or data warehouse environments. &bull; Monitor, troubleshoot, and optimize ETL workflows for performance and reliability.</li></ul><ul><li>Perform data validation and reconciliation to ensure data consistency.</li></ul><ul><li>Collaborate with data engineers, analysts, and AI developers to enhance data accuracy and system integration.</li></ul><ul><li>Implement automation and scheduling of ETL jobs using Airflow, SSIS, or Python-based schedulers.</li></ul><ul><li>Assist in database performance tuning, indexing, and schema management</li></ul>Required Skills &amp; Qualification:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field.</li></ul><ul><li>Proven experience in SQL development and ETL pipeline creation (Python, SSIS, etc.).</li></ul><ul><li>Strong knowledge of data warehousing concepts (star/snowflake schema).</li></ul><ul><li>Hands-on experience with SQL Server, Azure SQL, or SAP HANA.</li></ul><ul><li>Proficiency in data mapping, transformation logic, and query optimization.</li></ul><ul><li>Familiarity with version control (Git) and CI/CD for data workflows.</li></ul><ul><li>Nice to Have: Experience with ERP systems (SAP Business One or Dynamics 365).</li></ul><ul><li>Familiarity with Azure Data Factory, AWS Glue, or dbt.</li></ul><ul><li>Exposure to Power BI, Tableau, or AI/ML data integration.</li></ul>Location: Hybrid / On-site &ndash; KarachiTo apply: talent@technaptix.comSubject Line: Database Engineer (ETL &amp; Data Modeling)Job Type: Full-timePay: Rs65,000.00 - Rs130,000.00 per monthWork Location: In person

Database Engineer (ETL & Data Modeling)

Liquid Technologies Pakistan

<div>
 
 
 Job Title: Senior AI/ML Engineer
 
 
 
 
 
 
 
 Location:
 
 Karachi (On-site)
 
 
 
 Department:
 
 Artificial Intelligence / Data Science
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced and innovative
 
 Senior AI/ML Engineer
 
 to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in
 
 deep learning, NLP, computer vision, and large-scale ML systems
 
 , with a passion for applying AI to solve complex real-world problems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 end-to-end ML pipelines
 
 (data preprocessing, model training, evaluation, deployment).
 </li>
 <li>
 Lead R&amp;D in
 
 deep learning, NLP, computer vision, and generative AI
 
 to build state-of-the-art solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.
 </li>
 <li>
 Optimize models for
 
 scalability, performance, and efficiency
 
 .
 </li>
 <li>
 Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.
 </li>
 <li>
 Conduct experiments, analyze results, and present insights to stakeholders.
 </li>
 <li>
 Stay updated with the latest advancements in AI/ML and evaluate their applicability.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in
 
 Computer Science, AI, Data Science, or related field
 
 (PhD preferred).
 </li>
 <li>
 4+ years of experience in
 
 AI/ML model development and deployment
 
 .
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 with libraries such as
 
 TensorFlow, PyTorch, Scikit-learn, Hugging Face
 
 .
 </li>
 <li>
 Expertise in one or more areas:
 
 NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning
 
 .
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, GCP, Azure) and
 
 MLOps tools
 
 (MLflow, Kubeflow, Docker, Kubernetes).
 </li>
 <li>
 Strong background in
 
 data structures, algorithms, and mathematics for ML
 
 .
 </li>
 <li>
 Proven track record of deploying
 
 ML models into production environments
 
 .
 </li>
 </ul>
</div>

Senior AI/ML Engineer

Bazzle Balloons

2. SOC Engineer / Cyber Security EngineerCertifications Required: CEH, CompTIA Security+, SOC Handling, SIEM Implementation&middot; Vendor-specific certifications: ELK, QRadar, Wazuh (advantage)&middot; Fortinet NSE, Cisco CyberOps, (plus)At least four years Bachelors in IT / Computer Science / Telecom/ EngineeringExperience: 3-4 years of relevant professional experience in SOC operations, cyber security, or incident response.Responsibilities:&middot; Monitor real-time threats and handle security incidents across Client IT systems using advanced SOC tools.&middot; Deploy, configure, and manage SIEM solutions (Wazuh, Splunk, ELK, QRadar, etc.) for log collection, analysis, intrusion detection, and anomaly reporting.&middot; Perform malware analysis, digital forensics, and evidence preservation to support cybercrime investigations.&middot; Implement and integrate threat intelligence feeds tailored for law enforcement use cases.&middot; Utilize frameworks such as MITRE ATT&amp;CK and NIST for incident detection, classification, and response.&middot; Conduct forensic investigations with tools such as Volatility, Autopsy, Ghidra, and IDA Pro.&middot; Carry out vulnerability assessments, penetration testing, and remediation planning.&middot; Monitor and tune firewalls, IDS/IPS, and VPN security systems.&middot; Familiarity with security tools and devices.&middot; Support law enforcement digital platforms (CCTV, bodycams, and surveillance systems) by securing data pipelines and ensuring data integrity.&middot; Conduct awareness sessions for Client officers on phishing, ransomware, and cyber hygiene best practices.&middot; Collaborate with Client units for proactive threat hunting and incident response.&middot; Manage the full incident response lifecycle: detection, triage, containment, eradication, recovery, and reporting.&middot; Prepare incident reports, forensic documentation, and compliance reviews for audits and investigations.&middot; Provide IT assistance during emergency response operations.&middot; Perform any other tasks assigned by Client.Job Type: Full-timeApplication Question(s):<ul><li>Your degree Bachelors in IT / Computer Science / Telecom/ Engineering completed? </li><li>Do you have 4 years of relevant professional experience in SOC operations, cyber security, or incident response?</li><li>Do you have a certificate of Fortinet NSE, Cisco CyberOps?</li></ul>License/Certification:<ul><li>CEH, certificate of CompTIA Security (Required)</li></ul>Work Location: In person

SOC Engineer / Cyber Security Engineer

Explore 281+ Intelligence engineer in Karachi this November. Find roles across top companies and apply now to boost your career.