ai/ml engineer

data engineer

senior ai/ml engineer

senior data analyst

ai data scientist & annotation expert Jobs in Islamabad

ai data scientist & annotation expert

senior data scientist

S&P Global

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-09-09
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

Senior Data Scientist

Value Engineering

Position: AI Data Scientist &amp; Annotation ExpertLocation: On-site, Night Shift, Bahria Phase 4 RawalpindiEmployment Type: Full-timeAbout the RoleWe are looking for a skilled AI Data Scientist &amp; Annotation Expert to drive the full lifecycle of AI/ML solutions &mdash; from data collection and annotation through advanced model development, training, and deployment. The role combines hands-on annotation expertise (critical for building high-quality training datasets) with data science and machine learning skills to ensure robust, production-ready AI systems.You will play a central role in curating high-quality datasets, experimenting with algorithms, and ensuring model performance by leveraging both advanced data science techniques and precise annotation workflows.Key ResponsibilitiesData Science &amp; Machine Learning<ul><li>Design, build, and evaluate machine learning/deep learning models for NLP, Computer Vision, or multimodal tasks.</li><li>Perform feature engineering, exploratory data analysis (EDA), and statistical modeling.</li><li>Experiment with different model architectures (CNNs, RNNs, Transformers, LLMs) and optimize hyperparameters for maximum performance.</li><li>Develop and deploy scalable ML pipelines in production (using FastAPI, TensorFlow Serving, TorchServe, or containerized environments).</li><li>Collaborate with engineers and product teams to integrate models into end-user applications.</li></ul>Data Annotation &amp; Curation<ul><li>Design annotation workflows and guidelines for various data types (images, PDFs, audio, video, and text).</li><li>Perform and manage manual and semi-automated annotation tasks (e.g., bounding boxes, polygons, segmentation masks, labeling, and text tagging).</li><li>Implement quality control measures to ensure annotations meet accuracy and consistency standards.</li><li>Train and supervise annotation teams, providing feedback and ensuring adherence to project requirements.</li><li>Work with annotation tools (e.g., Label Studio, CVAT, Supervisely, Prodigy, Labelbox).</li><li>Assist in building gold-standard datasets that serve as the foundation for AI/ML training.</li></ul>MLOps &amp; Data Ops<ul><li>Set up pipelines for dataset versioning, experiment tracking, and model reproducibility (using MLflow, DVC, or similar).</li><li>Monitor dataset drift, class imbalances, and annotation consistency to avoid bias in models.</li><li>Collaborate with DevOps teams for deployment, scaling, and monitoring of AI models.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related field.</li><li>Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods.</li><li>Hands-on experience with data annotation platforms (Label Studio, CVAT, or similar).</li><li>Familiarity with SQL/NoSQL databases and big data handling.</li><li>Strong understanding of data preprocessing (cleaning, augmentation, normalization, and transformation).</li></ul>Preferred Skills<ul><li>Prior experience in annotation team management or data labeling quality assurance.</li><li>Knowledge of vector databases (pgvector, Pinecone, Weaviate, Chroma) for AI-driven search and RAG pipelines.</li><li>Experience with MLOps tools (Airflow, Kubeflow, MLflow).</li><li>Knowledge of annotation automation using weak supervision, active learning, or semi-supervised learning techniques.</li><li>Understanding of ethical AI practices, bias detection, and responsible dataset curation.</li></ul>Soft Skills<ul><li>Exceptional attention to detail and accuracy in handling data.</li><li>Ability to train, mentor, and guide annotation teams.</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication for both technical and non-technical audiences.</li><li>Self-driven, proactive, and collaborative mindset.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>are you comfortable working night shift?</li><li>Are you comfortable commuting to Bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

AI Data Scientist & Annotation Expert

Position: Senior Software Engineer &ndash; AI/ML Location: On-Site, Night Shift, Bahria Phase 4 Rawalpindi Experience Required: 5&ndash;8 years in software development with strong AI/ML expertise Employment Type: Full-timeAbout the RoleWe are looking for a highly skilled Senior Software Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Python development. In this role, you will design, develop, and deploy advanced AI/ML solutions, working closely with data scientists, researchers, and engineering teams to build scalable, high-performance systems.Key Responsibilities<ul><li>Design, develop, and optimize AI/ML models and algorithms for production use.</li><li>Write clean, efficient, and scalable Python code for ML pipelines and applications.</li><li>Collaborate with data scientists to turn research prototypes into production-ready systems.</li><li>Build and maintain data pipelines, APIs, and deployment frameworks for ML models.</li><li>Ensure solutions meet standards for performance, reliability, and scalability.</li><li>Conduct code reviews, mentor junior engineers, and share best practices.</li><li>Stay up to date with the latest AI/ML trends, frameworks, and tools.</li><li>Work with cloud platforms (AWS, Azure, GCP) for model training and deployment.</li></ul>Requirements<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Software Engineering, Data Science, or related field.</li><li>5&ndash;8 years of software engineering experience with at least 3+ years in AI/ML projects.</li><li>Expert-level proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).</li><li>Strong understanding of machine learning, deep learning, and statistical modeling.</li><li>Hands-on experience with data preprocessing, feature engineering, and model evaluation.</li><li>Familiarity with cloud services (AWS Sagemaker, GCP AI Platform, Azure ML).</li><li>Experience with CI/CD pipelines, containerization (Docker, Kubernetes).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred Skills<ul><li>Experience in NLP, Computer Vision, or Generative AI.</li><li>Familiarity with big data tools (Spark, Hadoop).</li><li>Contributions to open-source AI/ML projects.</li></ul>Why Join Us?<ul><li>Work on cutting-edge AI/ML projects that make real-world impact.</li><li>Be part of a collaborative and innovative engineering culture.</li><li>Competitive compensation, benefits, and opportunities for career growth.</li><li>Exposure to modern technologies and continuous learning opportunities.</li></ul>Job Type: Full-timeWork Location: In person

Senior Software Engineer AI/ML

Webtronix

Job Summary: We are seeking a skilled and innovative Senior AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience working with large-scale datasets. You&rsquo;ll work cross-functionally with data scientists, software engineers, and product teams to integrate AI/ML models into real-world applications.Responsibilities:<ul><li>Design, develop, and implement machine learning models and AI algorithms.</li><li>Collaborate with data scientists and domain experts to preprocess and analyze data.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Develop end-to-end pipelines for model training, validation, deployment, and monitoring.</li><li>Integrate machine learning solutions into production systems and applications.</li><li>Conduct model evaluation and tuning using metrics such as precision, recall, F1 score, and ROC AUC.</li><li>Maintain documentation for models, data pipelines, and experiments.</li><li>Stay updated with the latest AI/ML research and industry trends and apply best practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of supervised, unsupervised, and deep learning techniques.</li><li>Experience with data preprocessing, feature engineering, and data visualization.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark).</li><li>Understanding of software engineering best practices: version control (Git), CI/CD, testing, etc</li></ul>Technical Skills:<ul><li>Experience with NLP, Computer Vision, or Time Series modeling.</li><li>Familiarity with Docker, Kubernetes, and model deployment frameworks like MLflow or SageMaker.</li><li>Contributions to open-source ML projects or research publications.</li><li>Experience with data annotation tools and techniques.</li></ul>Web-Tronix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Devsinc

<div>
 
 Description
 
 
 
 Devsinc is seeking a
 
 Senior AI/Machine Learning Engineer
 
 with a strong background in Python, machine learning, and deep learning frameworks. Our ideal candidate will excel in cloud environments (such as AWS, Azure, GCP, and Databricks), possess the ability to design innovative AI solutions, exhibit expertise in Python, Spark, and relevant AI libraries, and demonstrate a high level of personal responsibility.
 
 
 Principal Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud services
 </li>
 <li>
 Design and implement machine learning models and algorithms to support various AI-driven client applications, with a focus on user interface interactions and AI-driven features
 </li>
 <li>
 Integrate third-party AI/ML APIs and services to existing web applications
 </li>
 <li>
 Promote a data-driven and machine learning approach with a commitment to delivering valuable AI enhancements consistently
 </li>
 <li>
 Deep understanding of LLMs (open source). We focus on a wide variety of NLP use cases including writing assistance, summarization, and concept extraction
 </li>
 <li>
 Lead and participate in NLP and computer vision model development, providing constructive feedback to foster a culture of continuous improvement among team members
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 3-6 years of experience as an active coder, with proficiency in Python 3.x, strong Object-Oriented Programming (OOP) skills, and familiarity with modern Python features
 </li>
 <li>
 Proven experience in Natural Language Processing (NLP) and Computer Vision (CV)
 </li>
 <li>
 In-depth knowledge of essential Python libraries such as numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Transformers, and others relevant to machine learning
 </li>
 <li>
 Competence in working with cloud environments (AWS, Azure, GCP, Databricks) and Linux, including Lambda/Serverless, SQS, SNS, S3, and EC2
 </li>
 <li>
 Experience deploying Transformer-based models into production
 </li>
 <li>
 Proficiency in Django or Flask is a huge plus
 </li>
 <li>
 Strong expertise in source control, code review, and repository management using Git
 </li>
 <li>
 Familiarity with software engineering principles and design patterns, including Dependency Injection, SOLID, Service Containers, and Providers
 </li>
 <li>
 Experience with containerization technologies like Docker
 </li>
 <li>
 Proficiency in building highly distributed, eventually consistent AI systems
 </li>
 <li>
 Familiarity with microservices architecture and message broker systems
 </li>
 <li>
 Expertise in various machine learning testing methodologies, including unit testing, integration testing, performance testing, and load testing
 </li>
 <li>
 Knowledge of data visualization, monitoring, and alerting concepts along with relevant tooling
 </li>
 <li>
 Excellent knowledge of Relational Databases, SQL, and ORM technologies such as SQLAlchemy
 </li>
 <li>
 Knowledge of LLMs, including fine-tuning and deployment integration with web applications
 </li>
 </ul>
</div>

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job:
We are looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration. The engineer will extend the inference framework to support inference and fine-tuning for Language models with a strong focus on mobile and integrated GPU acceleration (Vulkan).
This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging. You will play a critical role in pushing the boundaries of desktop and on-device inference and fine-tuning performance for next-generation SLM/LLMs. 
Responsibilities:<ul><li>
Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.</li><li>
Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.</li><li>
Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).</li><li>
Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.</li><li>
Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.</li><li>
Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.</li><li>
Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).</li><li>
Integrate and validate quantization workflows for training and inference.</li><li>
Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).</li><li>
Conduct GPU testing across desktop and mobile devices.</li><li>
Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.</li><li>
Deliver production-grade, efficient language model deployment for mobile and edge use cases.</li><li>
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.</li></ul><ul><li> 
Proficiency in C++ and GPU kernel programming.</li><li>
Proven Expertise in GPU acceleration with Vulkan framework.</li><li>
Strong background in quantization and mixed-precision model optimization.</li><li>
Experience and Expertise in Vulkan compute shader development and customization.</li><li>
Familiarity with LoRA fine-tuning and parameter-efficient training methods.</li><li>
Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.</li><li>
Hands-on experience with mobile GPU acceleration and model inference.</li><li>
Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).</li><li>
Experience implementing custom backward operators for fine-tuning.</li><li>
Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.</li><li>
Demonstrated ability to apply empirical research to overcome challenges in model</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior AI Research Engineer, Model Inference (Remote)

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

AI Engineer

Explore 440+ Senior data scientist in Islamabad this October. Find roles across top companies and apply now to boost your career.

440 senior data scientist jobs IN Islamabad

Senior Data Scientist

AI Data Scientist & Annotation Expert

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Senior AI/ML Engineer

Senior AI/ML Engineer

Senior AI Research Engineer, Model Inference (Remote)

AI Engineer