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ai engineer (dialogflow / ccai / gcp) Jobs in Islamabad

ai engineer (dialogflow / ccai / gcp)

ai engineer dialogflow ccai gcp

Provox Global Solutions

We are seeking a highly skilled GCP / Dialog flow (CCAI) Developer to design, develop, optimize, and maintain scalable, AI-driven conversational solutions. The ideal candidate will have strong experience in Google Cloud Platform, Dialog flow, backend and frontend development, DevOps practices, and AI-driven contact center solutions. This role will work closely with engineering, QA, and business operations teams to ensure high-quality, secure, and reliable virtual assistant and call center applications.Key Responsibilities1. Application Development<ul><li>Develop, enhance, and maintain Dialogflow / CCAI solutions, including both structured Dialogflow agents and AI-enabled playbooks.</li><li>Design and implement backend services using Node.js, REST APIs, SQL, and JSON.</li><li>Develop frontend and middleware components using HTML, JavaScript, and UI/UX best practices.</li><li>Manage shared global variables and objects in high-volume, high-concurrency applications.</li><li>Implement secure authentication mechanisms including JWT and OAuth.</li></ul>2. Cloud &amp; DevOps<ul><li>Configure, manage, and optimize GCP and Dialogflow environments, including environment variables and migration strategies.</li><li>Set up and maintain databases (MySQL / DBMS) and integrate with reporting and analytics tools (e.g., Looker).</li><li>Implement and manage CI/CD pipelines using GitHub (or similar), ensuring modular, multi-developer friendly codebases.</li><li>Monitor system performance, CPU utilization, logs, errors, and alerts to ensure reliability and scalability.</li></ul>3. Testing &amp; Quality Assurance<ul><li>Monitor system behavior, errors, and performance metrics to drive continuous improvement.</li><li>Design and execute automated testing for web (OLS), backend, and voice-based systems, including regression and stress testing.</li><li>Implement Virtual Assistant testing using phone dialing appliances and recorded voice inputs.</li><li>Monitor and support integrations with third-party platforms such as Dentrix, EzText, and phone number lookup services.</li></ul>4. Business Operations &amp; Call Center Quality<ul><li>Analyze call flows to identify no-match phrases, disconnects, and dead-end conversations, and tune Dialogflow accordingly.</li><li>Implement monitoring solutions to detect and reduce AI hallucinations, ensuring grounded, coherent, and customer-friendly conversations.</li><li>Continuously improve Virtual Assistant (VA) performance to meet call center quality and operational standards.</li></ul>Required Skills &amp; Qualifications<ul><li>Proven experience working in Google Cloud Platform (GCP) environments.</li><li>Strong expertise in Dialogflow / CCAI development and maintenance.</li><li>Proficiency in Node.js, REST APIs, SQL, and JSON.</li><li>Strong frontend development skills using HTML and JavaScript.</li><li>Experience managing secure, high-concurrency applications.</li><li>Hands-on experience with JWT and OAuth authentication.</li></ul>Preferred / Bonus Skills<ul><li>Experience with AI / Gemini prompting and Vertex AI API integrations, including fine-tuning models for Virtual Assistants or contact center support.</li><li>Experience building, customizing, or integrating Speech-to-Text (STT) models or third-party STT engines.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>This is a night shift and onsite role from 07PM to 04AM. Are you comfortable with shift arrangements?</li></ul>Experience:<ul><li>DialogFlow: 2 years (Required)</li><li>Node.js: 2 years (Required)</li><li>GCP: 2 years (Required)</li></ul>Work Location: In person

AI Engineer (Dialogflow / CCAI / GCP)

1. Application Development<ul><li>Develop, enhance, and maintain Dialogflow / CCAI solutions, including both structured Dialogflow agents and AI-enabled playbooks.</li><li>Design and implement backend services using Node.js, REST APIs, SQL, and JSON.</li><li>Develop frontend and middleware components using HTML, JavaScript, and UI/UX best practices.</li><li>Manage shared global variables and objects in high-volume, high-concurrency applications.</li><li>Implement secure authentication mechanisms including JWT and OAuth.</li></ul>2. Cloud &amp; DevOps<ul><li>Configure, manage, and optimize GCP and Dialogflow environments, including environment variables and migration strategies.</li><li>Set up and maintain databases (MySQL / DBMS) and integrate with reporting and analytics tools (e.g., Looker).</li><li>Implement and manage CI/CD pipelines using GitHub (or similar), ensuring modular, multi-developer friendly codebases.</li></ul>3. Testing &amp; Quality Assurance<ul><li>Monitor system behavior, errors, and performance metrics to drive continuous improvement.</li><li>Design and execute automated testing for web (OLS), backend, and voice-based systems, including regression and stress testing.</li><li>Implement Virtual Assistant testing using phone dialing appliances and recorded voice inputs.</li><li>Monitor and support integrations with third-party platforms such as Dentrix, EzText, and phone number lookup services.</li></ul>4. Business Operations &amp; Call Center Quality<ul><li>Analyze call flows to identify no-match phrases, disconnects, and dead-end conversations, and tune Dialog flow accordingly.</li><li>Implement monitoring solutions to detect and reduce AI hallucinations, ensuring grounded, coherent, and customer-friendly conversations.</li><li>Continuously improve Virtual Assistant (VA) performance to meet call center quality and operational standards.</li></ul>Required Skills &amp; Qualifications<ul><li>Proven experience working in Google Cloud Platform (GCP) environments.</li><li>Strong expertise in Dialogflow / CCAI development and maintenance.</li><li>Proficiency in Node.js, REST APIs, SQL, and JSON.</li><li>Strong frontend development skills using HTML and JavaScript.</li><li>Experience managing secure, high-concurrency applications.</li><li>Hands-on experience with JWT and OAuth authentication.</li></ul>Preferred / Bonus Skills<ul><li>Experience with AI / Gemini prompting and Vertex AI API integrations, including fine-tuning models for Virtual Assistants or contact center support.</li><li>Experience building, customizing, or integrating Speech-to-Text (STT) models or third-party STT engines.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>Can you easily commute to Naval Anchorage Islamabad?</li><li>This is an onsite role from 07PM to 04AM from Monday to Friday. Can you manage work schedule?</li></ul>Location:<ul><li>Islamabad (Required)</li></ul>Work Location: In person

AI Engineer

Centrox AI

Company: Centrox AI Job Title: Senior AI/ML Engineer Job Type: Full time (On-site) Location: Gulberg Greens, IslamabadWe are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, data science, model optimization, and production-level AI systems. This role involves collaborating with cross-functional teams, leading AI initiatives, mentoring junior engineers, and transforming business challenges into scalable machine learning pipelines. The candidate should be comfortable handling large datasets, building predictive models, integrating algorithms into applications, and ensuring high performance and reliability. Experience with cloud platforms, MLOps, and modern AI frameworks is essential.Key Responsibilities<ul><li>Design, develop, and deploy advanced Machine Learning and Deep Learning models.</li><li>Lead end-to-end AI/ML pipeline development from data preprocessing to model deployment.</li><li>Build and optimize scalable ML architectures for real-time and batch processing.</li><li>Conduct research on emerging AI techniques and integrate best practices.</li><li>Collaborate with data engineers and software developers to integrate models into production systems.</li><li>Evaluate model performance using statistical and analytical techniques.</li><li>Develop APIs and automation scripts for model serving and monitoring.</li><li>Identify business opportunities and recommend innovative AI solutions.</li><li>Mentor junior AI/ML team members and guide them through technical challenges.</li><li>Ensure data quality, security, and compliance in all AI workflows.</li><li>Work with cloud environments (AWS, GCP, Azure) for production deployments.</li><li>Document systems, workflows, and model performance for internal use.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>4+ years of professional experience in AI/ML, deep learning, or data science.</li><li>Strong programming expertise in Python, TensorFlow, PyTorch, Scikit-Learn.</li><li>Hands-on experience with LLMs, NLP, CNNs, RNNs, Transformers.</li><li>Experience with cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI).</li><li>Proficiency in MLOps (Docker, Kubernetes, CI/CD, MLflow, Airflow).</li><li>Strong understanding of data pipelines, ETL, and feature engineering.</li><li>Experience with big data tools (Spark, Hadoop, Databricks).</li><li>Strong mathematics and statistics background.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred/Good to Have<ul><li>Experience in Generative AI (LLMs, diffusion models).</li><li>Knowledge of API development using FastAPI or Flask.</li><li>Experience with vector databases (Pinecone, Weaviate, FAISS).</li><li>Familiarity with model optimization, quantization, pruning.</li><li>Previous experience leading AI teams or projects.</li></ul>What We Offer<ul><li>Competitive salary package based on experience and expertise.</li><li>Annual bonuses and performance-based rewards.</li><li>Opportunity to work on cutting-edge AI and Generative AI projects.</li><li>A collaborative, innovative, and fast-paced work environment.</li><li>Direct involvement in impactful AI initiatives influencing company-wide strategy.</li><li>Career growth opportunities with leadership and R&amp;D roles.</li><li>Exposure to global clients and enterprise-level AI applications.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What would be your expected salary for this position?</li><li>How soon you can join us for this on-site full time position?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>relevant: 3 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer

Information Tech Consultants

<div>
 
 
 !! Immediate Joiners !!
 
 
 
 
 
 
 🌟
 
 Senior
 
 
 Data Engineer SME (Subject matter expert)
 
 🧠
 
 
 
 
 
 
 Location : London (Relocation required - Sponsorship will be provided)
 
 
 
 
 Experience : 9-12 years
 
 
 
 
 CTC- 40-45 lacs
 
 
 
 
 
 
 We are seeking a highly accomplished and results-oriented
 
 Senior Data Scientist Subject Matter Expert (SME)
 
 with over
 
 10 years of experience
 
 to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including
 
 Generative AI, Computer Vision, and Natural Language Processing (NLP)
 
 .
 
 
 You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 AI/ML Strategy &amp; Architecture:
 
 Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving
 
 Generative AI (GenAI)
 
 , large language models (
 
 LLMs
 
 ), and specialized models in Computer Vision and NLP.
 </li>
 <li>
 
 Big Data Engineering:
 
 Design, build, and optimize high-throughput, distributed data pipelines and features using
 
 Apache Spark (Scala)
 
 and
 
 Hive
 
 on massive datasets to support model training and inference.
 </li>
 <li>
 
 Cross-Cloud Execution:
 
 Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (
 
 AWS, Azure, and GCP
 
 ), ensuring portability, scalability, and cost efficiency.
 </li>
 <li>
 
 Specialized Model Development:
 
 Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:
 </li>
 <li>
 
 Computer Vision:
 
 Developing and optimizing models for image recognition, object detection, and video analytics.
 </li>
 <li>
 
 NLP:
 
 Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.
 </li>
 <li>
 
 Generative AI:
 
 Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.
 </li>
 <li>
 
 SME Consulting &amp; Mentorship:
 
 Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams.
 </li>
 <li>
 
 MLOps &amp; Governance:
 
 Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment.
 </li>
 </ul>
 
 
 
 
 Required Skills and Expertise (10+ Years)
 
 
 
 
 
 
 
 
 1. Big Data and Cloud Mastery
 
 
 
 
 <ul>
 <li>
 
 Programming &amp; Big Data:
 
 10+ years of extensive, hands-on experience with
 
 Apache Spark
 
 , with strong preference for production development using
 
 Scala
 
 . Deep expertise with
 
 Apache Hive
 
 for data querying and management.
 </li>
 <li>
 
 Cloud Proficiency:
 
 Demonstrated expertise in deploying and managing data/ML workloads across
 
 at least two
 
 of the three major cloud platforms:
 
 AWS
 
 (Sagemaker, EMR, S3),
 
 Azure
 
 (Azure ML, Synapse Analytics), and
 
 GCP
 
 (Vertex AI, BigQuery).
 </li>
 <li>
 
 Data Architecture:
 
 Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
 </li>
 </ul>
 
 
 
 
 2. Advanced AI/ML Specialization
 
 
 
 
 <ul>
 <li>
 
 Generative AI (GenAI) &amp; LLMs:
 
 Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying
 
 Large Language Models (LLMs)
 
 .
 </li>
 <li>
 
 Computer Vision:
 
 In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).
 </li>
 <li>
 
 NLP:
 
 Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.
 </li>
 </ul>
 
 
 
 
 3. Leadership &amp; Soft Skills
 
 
 
 
 <ul>
 <li>
 
 Technical Leadership:
 
 Proven track record of leading complex data science projects from research to production deployment.
 </li>
 <li>
 
 Communication:
 
 Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.
 </li>
 <li>
 
 Mentorship:
 
 Experience mentoring and training senior engineers and data scientists.
 </li>
 </ul>
 
 
 
 
 Education and Certification
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field.
 </li>
 <li>
 Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.
 </li>
 </ul>
 
 
</div>

Senior Data Engineer SME & AI

Datamatics Global Services Ltd

<div><h3 class="jobSectionHeader">Job Title: DevOps / MLOps Engineer</h3>
Experience: 7&ndash;9 Years 
Location: Remote<h4 class="jobSectionHeader"> 
Job Summary</h4>
We are seeking a skilled DevOps Engineer with hands-on MLOps experience to design, automate, and manage scalable infrastructure and CI/CD pipelines for cloud-native and machine learning workloads. The role requires strong expertise in automation, container orchestration, and continuous delivery, with a focus on reliability, performance, and scalability.<h4 class="jobSectionHeader"> 
Key Responsibilities</h4><ul><li>
Design, build, and maintain CI/CD pipelines using Jenkins and automation tools</li><li>
Implement and manage MLOps pipelines for model training, deployment, monitoring, and retraining</li><li>
Deploy, manage, and scale containerized applications using Kubernetes</li><li>
Automate infrastructure provisioning and configuration using IaC tools</li><li>
Manage cloud infrastructure and services on Google Cloud Platform (GCP)</li><li>
Ensure high availability, security, and performance of platforms and pipelines</li><li>
Collaborate with data scientists and engineers to productionize ML models</li><li>
Monitor systems, optimize costs, and troubleshoot production issues</li></ul><h4 class="jobSectionHeader"> 
Required Skills &amp; Experience</h4><ul><li>
Strong experience as a DevOps Engineer with exposure to MLOps practices</li><li>
Hands-on expertise with Kubernetes (deployment, scaling, networking)</li><li>
Strong experience with Jenkins for CI/CD automation</li><li>
Experience with automation and scripting tools (Terraform, Ansible, Bash, Python, etc.)</li><li>
Strong understanding of containerization (Docker) and microservices architecture</li><li>
Experience with monitoring, logging, and alerting solutions</li></ul><h4 class="jobSectionHeader"> 
Nice to Have</h4><ul><li>
Experience with ML platforms such as Kubeflow, Vertex AI, or MLflow</li><li>
Knowledge of GitOps tools (ArgoCD, Flux)</li><li>
Experience with security, IAM, and compliance in cloud environments</li></ul>
YR6JMI01Y8</div>

DevOps / MLOps Engineer

Edge

<div>
 
 
 About Edge
 
 
 
 Edge is on a mission to remove geographic borders as barriers to full-time employment and fair wages. We&rsquo;re building a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we give companies a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team redefining how people work together.
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior AI/ML Engineer (Agentic AI)
 
 to architect and implement autonomous, goal-driven AI agents. This role is ideal for someone experienced in multi-agent systems, orchestration frameworks, and deploying complex LLM-based agents that can reason, plan, and act in dynamic environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Agentic System Design
 
 &ndash; Design and deploy multi-agent or hierarchical reasoning systems capable of planning, self-correction, and collaboration.
 </li>
 <li>
 
 LLM Orchestration
 
 &ndash; Build long-running pipelines using frameworks such as LangGraph, AutoGen, or similar to manage memory, tool-use, and context.
 </li>
 <li>
 
 Tool &amp; Data Integration
 
 &ndash; Connect agents to APIs, knowledge graphs, and vector databases (e.g., Pinecone, Weaviate, Milvus) to enable autonomous decision-making.
 </li>
 <li>
 
 Data &amp; Infrastructure
 
 &ndash; Develop and maintain data pipelines and embedding stores; implement ETL/ELT workflows.
 </li>
 <li>
 
 Optimization &amp; Scaling
 
 &ndash; Fine-tune and optimize LLMs for performance, cost, and safety; implement monitoring and feedback loops.
 </li>
 <li>
 
 Cross-Functional Collaboration
 
 &ndash; Partner with product, engineering, and compliance teams to align agent behavior with business goals and regulatory requirements.
 </li>
 </ul>
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Demonstrated experience designing and deploying agentic or multi-agent AI systems.
 </li>
 <li>
 Deep understanding of transformer architectures and advanced prompt-engineering strategies.
 </li>
 <li>
 Strong Python skills and expertise with orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.).
 </li>
 <li>
 Proficiency in building robust data pipelines and working with vector databases.
 </li>
 <li>
 Cloud deployment and MLOps experience (AWS, GCP, or Azure).
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience fine-tuning LLMs with LoRA/QLoRA/PEFT.
 </li>
 <li>
 Knowledge of reinforcement learning, planning algorithms, or neuro-symbolic methods.
 </li>
 <li>
 Contributions to open-source agentic AI frameworks or published research in autonomous AI.
 </li>
 </ul>
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth stage, giving you the rare opportunity to shape the future of global employment. Your work will directly impact how businesses hire and how talent everywhere connects to opportunity.
 
 
 Join us to
 
 build the next generation of autonomous AI that changes how the world works across borders.
 
 
</div>

AI/ML Engineer (Agentic AI)

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 - Rs500,000.00 per monthWork Location: In person

Senior AI Engineer

Explore 184+ Ai engineer dialogflow ccai gcp in Islamabad this January. Find roles across top companies and apply now to boost your career.