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machine learning engineer

HBL Microfinance Bank LTD

<div>
 
 
 Job Description:
 
 We are seeking an enthusiastic Machine Learning Engineer to enhance our AI-driven lending portfolio. The successful candidate will be instrumental in developing, optimizing, and maintaining machine learning models that underpin our wallet and loan services, utilizing the latest in technology and methodologies to ensure high performance and reliability.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models using frameworks like scikit-learn, TensorFlow, PyTorch, Caret and Tidymodels, incorporating both Python and R environments.
 </li>
 <li>
 Implement and optimize data processing workflows using Pandas, Dask, and Tidyverse, ensuring efficient handling of data within RAM constraints using chunking strategies.
 </li>
 <li>
 Support the development and enhancement of AI-powered chatbots for customer interaction and support.
 </li>
 <li>
 Experience with Google Cloud Services, particularly Google Cloud Run and Cloud Build, for deploying and managing scalable applications.
 </li>
 <li>
 Proficiency in version control systems, including working with Git repositories for collaborative code development and management.
 </li>
 <li>
 Utilize Flask and Plumber to develop and deploy APIs for model hosting, ensuring scalability and reliability within Dockerized environments.
 </li>
 <li>
 Monitor model performance and data integrity to detect and address data drift and concept drift, maintaining high model accuracy and reliability.
 </li>
 <li>
 Collaborate with DBAs to integrate machine learning models seamlessly with existing Oracle and MySQL/Postgresql databases.
 </li>
 <li>
 Support the deployment and maintenance of the MLOps infrastructure using MLflow, managing the lifecycle of machine learning models from development to production.
 </li>
 <li>
 Generate insights and visualizations using Prometheus, Grafana, and the ELK stack to monitor system performance and user interactions.
 </li>
 <li>
 Continuously research and implement best practices in machine learning and data science to enhance product features and operational efficiency.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s / Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Business or a related field.
 </li>
 <li>
 2 to 4 years of experience in a machine learning engineering role.
 </li>
 <li>
 Strong proficiency in Python or R, with practical knowledge of SQL and NoSQL databases.
 </li>
 <li>
 Experience with machine learning libraries and frameworks, and familiarity with Docker and container management.
 </li>
 <li>
 Knowledge of data processing frameworks and tools, including Dask and Pandas.
 </li>
 <li>
 Proven ability to develop and manage RESTful APIs using Flask or Plumber.
 </li>
 <li>
 Experience with monitoring tools such as Evidently AI, and familiarity with Prometheus, Grafana, and ELK Stack for operational monitoring.
 </li>
 </ul>
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Practical exposure to financial services or fintech, particularly in areas of credit scoring or fraud detection.
 </li>
 <li>
 Experience with Google Cloud Services is preferred.
 </li>
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 Experience with DevOps practices and tools.
 </li>
 <li>
 Experience with Oracle and ArangoDB in a production environment.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

NESL-IT (SMC PVT) LTD

Location: Onsite &mdash; Islamabad (I-10/3) Employment Type: Full-time (6 pm to 2 am) We are seeking a skilled and highly motivated AI/ML Engineer with 4+ years of hands-on experience in designing, developing, deploying, and optimizing machine learning models and AI-driven solutions. The ideal candidate will have a strong background in ML algorithms, deep learning frameworks, data engineering, and model deployment in production environments.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and deep learning models for real-world applications.</li><li>Build scalable data pipelines, preprocess datasets, and perform feature engineering.</li><li>Develop, fine-tune, and evaluate models using frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>Work closely with data engineers, software engineers, and product teams to translate business needs into ML solutions.</li><li>Deploy and monitor models using MLOps tools (Docker, Kubernetes, MLflow, AWS/GCP/Azure services).</li><li>Conduct research on new algorithms, technologies, and tools to enhance model accuracy and performance.</li><li>Build REST APIs or microservices to integrate models into production systems.</li><li>Analyze model performance, optimize pipelines, and troubleshoot issues in production.</li><li>Create thorough technical documentation and communicate findings effectively.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Software Engineering, or related field.</li><li>4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.</li><li>Strong understanding of ML concepts: supervised/unsupervised learning, NLP, computer vision, time-series, etc.</li><li>Hands-on experience with Python, including NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Experience with MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).</li><li>Solid understanding of data preprocessing, model evaluation, tuning, and validation techniques.</li><li>Strong problem-solving skills and the ability to work independently in a fast-paced environment.</li><li>Experience with large language models (LLMs) and prompt engineering is a plus.</li><li>Knowledge of big data tools (Spark, Hadoop) is a plus.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthExperience:<ul><li>B2B Sales: 5 years (Required)</li></ul>Work Location: In person

AI/ML Engineer

Value Engineering

Position: AI/ML EngineerLocation: On-siteEmployment Type: Full-timeAbout the RoleWe are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.Key Responsibilities<ul><li>Model Development &amp; Research</li><li>Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.</li><li>Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge.</li><li>Data Engineering</li><li>Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).</li><li>Implement feature engineering, dimensionality reduction, and data augmentation techniques.</li><li>Deployment &amp; Scaling</li><li>Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).</li><li>Ensure scalability, performance, and security of deployed AI solutions.</li><li>MLOps &amp; Automation</li><li>Implement CI/CD pipelines for ML workflows (training, testing, deployment).</li><li>Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.</li><li>Collaboration</li><li>Work with cross-functional teams to understand requirements and deliver AI-driven solutions.</li><li>Document designs, processes, and results for both technical and non-technical stakeholders.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)</li><li>Solid programming skills in Python (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.</li><li>Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).</li><li>Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).</li></ul>Preferred Skills<ul><li>Experience in NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI.</li><li>Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines.</li><li>Understanding of MLOps best practices (CI/CD for ML, model monitoring, drift detection).</li><li>Strong mathematical foundation (linear algebra, probability, optimization).</li><li>Prior experience in deploying end-to-end AI applications in real-world scenarios.</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Ability to work independently and in a collaborative environment.</li><li>Excellent communication skills to explain complex AI/ML concepts to non-technical teams.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable commuting to bahria phase 4 Rawalpindi on daily basis?</li></ul>Work Location: In person

Lead AI/ML 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

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

Octaloop Technologies

Job Description Octaloop IT &amp; NS is looking to immediately onboard an experienced AI Developer with strong Python skills and a solid background in applied machine learning. In this role, you&rsquo;ll work on cutting-edge technologies such as 3D reconstruction, large-scale mapping, and advanced perception systems.Key Responsibilities<ul><li>Design and develop algorithms for mapping, reconstruction, scene interpretation, real-time tracking, semantic segmentation, depth estimation, GAN-based modeling, stereo vision, and volumetric reconstruction.</li><li>Prototype and refine solutions for next-generation VR/AR/MR applications, moving successful concepts into production.</li><li>Collaborate closely with teams across machine learning, perception, and computer graphics.</li><li>Contribute to research initiatives focused on enhancing AR/VR technologies.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent hands-on experience).</li><li>Master&rsquo;s degree in CS, ML, or related domains is a plus.</li><li>At least 1 year of experience developing ML-driven perception or 3D mapping/reconstruction systems.</li><li>Strong proficiency in Python; familiarity with C++ is advantageous.</li><li>Background in algorithms related to SLAM, calibration, sensor fusion, 3D reconstruction, object detection, segmentation, tracking, or scene understanding.</li></ul>Required Skills &amp; Attributes<ul><li>1+ years of professional experience in machine learning, perception, or related areas.</li><li>Experience with data preparation, augmentation, and annotation workflows.</li><li>Practical exposure to detection, segmentation, or image classification tasks.</li><li>Ability to work with limited datasets and enhance them using simulation or synthetic augmentation techniques.</li><li>Understanding of integrating physics-based and data-driven modeling approaches.</li><li>Experience designing experiments and managing training/validation/testing pipelines.</li><li>Prior work deploying ML or perception systems into production environments.</li><li>Leadership experience or involvement in guiding technical project execution is a plus.</li><li>Proficiency in TensorFlow and PyTorch with strong Python development skills.</li><li>Strong communication abilities for both technical and non-technical stakeholders.</li></ul>Employment Type: Full-time (Immediate Hiring) Email: hr@octaloop.io Location: IslamabadJob Type: Full-timeWork Location: In person

AI Developer - Onsite

Explore 383+ Machine learning engineer in Islamabad this January. Find roles across top companies and apply now to boost your career.

383 machine learning engineer jobs IN Islamabad

Machine Learning Engineer

AI/ML Engineer

Lead AI/ML Engineer

Sr. AWS AI Engineer

AI/ML Engineer

Senior AI Engineer

AI Developer - Onsite