machine learning engineer

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Islamabad 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

Eddu0LEAtX</div>

Sr. AWS AI Engineer

Creativelogicx

<ul><li>Design machine learning systems</li><li>Research and implement machine learning algorithms and tools</li><li>Manage and direct research and development processes to meet the needs of our AI strategy</li><li>Develop machine learning applications in alignment with project requirements and business goals</li><li>Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems</li><li>Select appropriate datasets and data representation methods</li><li>2+ years of experience applying AI to practical uses</li><li>Experience with deep learning, NLP, and TensorFlow</li><li>Experience writing robust code in Python, Java, and/or R</li><li>Experience in REST API development, NoSQL database design, and RDBMS design and optimizations</li><li>Knowledge of basic algorithms and object-oriented and functional design principles</li><li>Knowledge of data structures, data modeling, and software architecture</li></ul>Job Type: Full-timeWork Location: In person

AI/ML 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 - Rs500,000.00 per monthWork Location: In person

Senior AI Engineer

Information Tech Consultants

<div>
 
 🌟 Senior Data Scientist SME /
 
 Data Science 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 Scientist SME & AI

QVISE (Quality Vertex Integrated System Engineering) Pvt. Ltd.

We are seeking an experienced AI/ML Specialist to implement our technological vision, work with a dynamic team of Engineers and translate complex research concepts into impactful business solutions.Key Responsibilities:<ul><li>Implement comprehensive ML/ DL/ Gen AI research and development strategies</li><li>Work with a high-performing team of design and development engineers for ML/ DL/ Gen AI development</li><li>Design complex ML/ DL/ Gen AI, including Large Language Models solution architectures</li><li>Identify and prioritize emerging AI technologies</li><li>Conduct advanced research across multiple AI domains</li><li>Collaborate with cross-functional teams to develop and integrate AI solutions</li><li>Develop and maintain robust AI development methodologies</li></ul>Requirements:<ul><li>Master&rsquo;s/ Bachelor&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence or related technical field</li><li>1-2 years of progressive ML/ DL/ Gen AI experience</li><li>Proven track record of successful AI project development/ implementations</li><li>Demonstrated ability to translate research concepts into practical solutions</li></ul>Technical Skills:<ul><li>Understanding of advanced ML algorithm and having adequate knowledge of NLP, CV and Robotics fundamentals</li><li>Cross-domain AI implementation/ integration</li><li>Strong programming and technical communication skills</li><li>Experience with multiple AI/ML frameworks and interested in emerging AI technologies</li><li>Ability to mentor and develop technical teams</li></ul>Recruitment Criteria:<ul><li>Innovative thinking</li><li>Adaptability and continuous learning</li><li>Passion for technological innovation</li></ul>To apply, please submit your resume to &quot;career@qvise.com&quot;, please mention job title in subject.Job Type: Full-timePay: Rs50,000.00 - Rs200,000.00 per monthWork Location: In person

AI/ML Specialist

T-Tech Solutions Pvt Ltd

Position: Computer Vision Engineer Experience Required: Minimum 1 year Education: Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fieldJob OverviewWe are looking for a passionate and skilled Computer Vision Engineer with hands-on experience in object detection, image/video processing, and model deployment. The ideal candidate should be able to work with deep learning frameworks, prepare datasets, and develop real-time computer vision solutions.Required Skills Computer Vision &amp; Deep Learning<ul><li>Object detection (YOLO or similar models)</li><li>Image and video processing</li><li>OpenCV for preprocessing and augmentation</li><li>Experience with PyTorch or TensorFlow</li><li>Understanding of basic ML concepts and evaluation metrics</li><li>Strong Python skills (NumPy, Pandas, Matplotlib)</li><li>Dataset preparation &amp; labeling (CVAT, Roboflow, or similar)</li><li>Handling CCTV/RTSP live video streams</li><li>API development using FastAPI or Flask</li><li>Basic knowledge of Docker</li><li>Git version control</li><li>Experience with Jupyter Notebook</li><li>Linux basics</li></ul>Responsibilities<ul><li>Train and fine-tune computer vision models</li><li>Work with live video camera streams</li><li>Prepare and maintain datasets</li><li>Build and maintain API endpoints for model inference</li><li>Optimize models for speed and accuracy</li><li>Implement detecting, tracking &amp; analytic systems.</li><li>Collaborate with backend teams for deployment</li><li>Maintain code quality &amp; documentation</li></ul>Job Type: Full-timePay: From Rs35,000.00 per monthWork Location: In person

COMPUTER VISION ENGINEER

Python Technologies

Location: DHA Phase 2, Islamabad Work Mode: Onsite Office Hours: 6:00 PM &ndash; 2:00 AM (Monday to Friday)We are looking for a skilled and motivated AI Engineer to join our growing team. This is a full-time, onsite role for someone passionate about building and deploying AI-powered solutions.Key Responsibilities<ul><li>Architect, develop, and deploy AI/ML solutions for real-world use cases</li><li>Lead projects involving LLMs, AI chatbots, voice bots, and intelligent automation</li><li>Design and optimize NLP pipelines and ML models</li><li>Integrate AI solutions with web apps, CRMs, APIs, and databases</li><li>Mentor junior engineers and provide technical guidance</li><li>Ensure scalability, performance, and security of AI systems</li></ul>Requirements<ul><li>Hands-on experience in AI/ML development</li><li>Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience with LLMs, prompt engineering, NLP, and AI automation</li><li>Solid understanding of REST APIs, databases, and cloud platforms</li><li>Experience deploying models into production environments</li><li>Strong problem-solving and leadership skills</li></ul>CompensationPKR 70,000 &ndash; 100,000 per month (depending on experience and skill set)What We Offer<ul><li>Competitive salary (based on experience)</li><li>Hands-on work with real AI products and clients</li><li>Growth-oriented environment with learning opportunities</li></ul>Interested candidates can apply by sending their CVJob Type: Full-timePay: Rs100,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

Explore 251+ Machine learning engineer in Islamabad Pakistan this January. Find roles across top companies and apply now to boost your career.