data engineer

devops engineer

ai engineer

aws cloud engineer

project engineer

machine learning engineer

Maverick Enterprises

AI Developer / Machine Learning EngineerAbout the RoleWe are seeking a talented and motivated AI Developer / Machine Learning Engineer to join our team and help build the next generation of intelligent systems. You will be at the forefront of designing, developing, and deploying cutting-edge AI solutions. This is an opportunity to work on challenging problems and contribute to a project with significant real-world impact.Key Responsibilities<ul><li>Design, develop, and maintain machine learning models and algorithms.</li><li>Implement and deploy scalable AI solutions and systems.</li><li>Work with large datasets to train, test, and validate models.</li><li>Conduct research to stay up-to-date with the latest advancements in AI and machine learning.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into our products.</li><li>Optimize and fine-tune models for performance and efficiency.</li></ul>Qualifications<ul><li>Proven experience in AI development, machine learning, or a related field.</li><li>Strong programming skills in languages like Python, R, or C++.</li><li>Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Knowledge of various machine learning models (e.g., neural networks, CNNs, RNNs, and NLP).</li><li>Strong problem-solving skills and the ability to work independently.</li><li>A portfolio or past projects that showcase your skills are a plus.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per month

Ai Lead developer Front endand backend

Htech Solution Pvt. Ltd.

Qualification: BS / BE in Computer Science, or similar field; MS / ME degree is a plusExperience: At least 5+ years hands-on programming experience working on AI tools &amp; Computer VisionJob Description:&middot; Responsible for designing, developing, and implementing advanced Computer Vision algorithms and systems that enable machines to interpret and understand visual information from the world; Facial recognition, motion detection modules etc. * To build and deploy new AI products from the ground up.&middot; To chart AI strategy and define the problems to be solved with AI.&middot; Build data ingest and data transformation infrastructure.&middot; Build AI models from scratch, help product managers and stakeholders understand results.&middot; Develop &amp; Deploy AI models into production.&middot; Ability to write robust code in Python &amp; Django.&middot; Proven experience as a Machine Learning Engineer.&middot; Understanding of data structures, data modeling, back-end technologies and software architecture.&middot; Deep knowledge of math, probability, statistics and algorithms.&middot; Ultimate goal is to create high-quality products that meet customer needs.&middot; Mobile Application A.I. Development.Skills &amp; experience:&middot; Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python.&middot; Experience building AI &amp; Machine learning models in platforms such as Keras, TensorFlow, or Theano and libraries (like scikit-learn).&middot; Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects.Job Type: Full-timeWork Location: In personJob Type: Full-timeWork Location: In person

AI Developer (Computer Vision)

TECHNOSYS 

This is a full-time on-site role for an Artificial Intelligence Engineer located in Kar&#257;chi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.<ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul>QualificationBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).Strong understanding of data structures, algorithms, and statistical methods.Timings : 9 am - 6pmMonday to FridayMarket Competitive Salary packageKarachi, pechs block 2Job Type: Full-timePay: Rs120,000.00 - Rs150,000.00 per monthWork Location: In person

AI Engineer

Pivotize Consulting

Job Overview We aare in search of an experienced AI Engineer who will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.In this role, your curiosity and deep interest in AI, machine learning, and keeping pace with a rapidly evolving field will guide your path. You will delve into extensive data sets, identify patterns, and craft predictive algorithmic models, contributing to innovative projects.Responsibilities: . Design and develop cutting-edge AI solutions and systems that integrate with our products and services. . Implementing AI solutions using programming languages such as Python, R, Java, or C++, along with relevant frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. . Collecting, preprocessing, and analyzing large volumes of data to train AI models. This may involve data cleaning, feature engineering, and exploratory data analysis. . Deploying AI models into production environments and integrating them with existing systems and applications. This may involve containerization, microservices architecture, and cloud computing platforms. . Conduct thorough testing and evaluation of AI systems to ensure they meet performance, reliability, and security standards. . Conduct research and experiments to improve the performance of AI systems. . Monitor the performance of AI systems and make recommendations for improvements. . Stay up-to-date with advancements in AI technologies and make recommendations for future development.Requirements: . Degree in Computer science, Information technology, or a related field. 4+ years of experience with strong programming skills in Python, R, MATLAB, or other relevant programming languages. . Deep understanding of data science, linear algebra, algorithms, and statistics. . Experience working with large data sets and writing efficient code capable of processing large data streams at speed . Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML framework. . Excellent communication skills.Job Type: Full-timePay: Rs350,000.00 - Rs400,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, M.T. Khan Road?</li></ul>Work Location: In person

Sr. Artificial Intelligence (AI) Engineer

10Pearls

<div>Company Overview
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.
Role
As a Principal/Staff Data Scientist you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimize exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.
Responsibilities<ul><li>
Lead the design and implementation of end-to-end data science projects, from defining business problems to deploying advanced machine learning models at scale.</li><li>
Architect and build predictive models, statistical algorithms, and machine learning systems to solve complex business challenges and enhance decision-making.</li><li>
Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team.</li><li>
Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends.</li><li>
Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams.</li><li>
Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs.</li><li>
Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives.</li><li>
Present complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance.</li><li>
Drive the design and execution of experiments, A/B tests, and statistical analyses to measure and optimize the impact of data-driven decisions.</li><li>
Ensure compliance with regulatory requirements, data security, and governance protocols when building scalable data science solutions.</li><li>
Understand client needs and provide tailored, strategic solutions that align with business objectives.</li><li>
Build strong relationships by clearly communicating technical concepts and managing expectations.</li><li>
Actively participate in recruiting top technical talent for the team.</li><li>
Collaborate with the sales team in presales activities, identifying client needs, providing technical expertise, and crafting data-driven solutions to meet business requirements.</li><li>
Define and implement data strategies to support exploration, drilling, and production business goals.</li><li>
Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems).</li><li>
Ensure data accuracy, consistency, and security while adhering to industry compliance standards.</li><li>
Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimization).</li><li>
Develop algorithms for seismic data interpretation, reservoir characterization, and well-performance forecasting.</li><li>
Optimize workflows using natural language processing (NLP) for unstructured data, such as drilling reports and maintenance logs.</li><li>
Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities.</li><li>
Utilize geospatial analysis and geostatistical techniques to interpret geological and geophysical data.</li><li>
Implement real-time data analytics for drilling, well monitoring, and production enhancement.</li><li>
Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation.</li><li>
Drive automation of repetitive tasks using advanced scripting and machine learning pipelines.</li><li>
Mentor junior data scientists and engineers, fostering a culture of innovation and excellence.</li><li>
Collaborate with engineers, geophysicists, and reservoir managers to translate business challenges into data science solutions.</li><li>
Communicate technical findings to non-technical stakeholders through visualizations and reports.</li><li>
Develop optimization models for energy efficiency, cost reduction, and supply chain logistics.</li><li>
Enhance drilling accuracy and reduce downtime through predictive analytics for equipment maintenance.</li><li>
Implement risk assessment models to improve safety and compliance standards.</li><li>
Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis.</li><li>
Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark).</li><li>
Hands-on experience with visualization tools like Power BI, Tableau, or D3.js.</li><li>
Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton&rsquo;s Decision Space.</li></ul>
Requirements<ul><li>
Advanced degree (master's or PhD) in Data Science, Computer Science, or a related field.</li><li>
7+ years of experience in data science.</li><li>
Demonstrated success in leading data-driven projects.</li><li>
Deep knowledge of machine learning and statistical modelling</li><li>
Strong programming and data engineering skills.</li><li>
Excellent problem-solving and communication abilities.</li><li>
Proven track record of innovation in multiple industries</li></ul>
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Principal/Staff Data Scientist

Sublime Wireless Inc

Job Title: AI Architect &ndash; Software &amp; Data Engineering, LLM/RAG SpecialistLocation: Hybrid (3 days onsite / 2 days remote -Karachi or Islamabad)Type: Full&#8209;timeAbout the RoleWe are looking for a hands-on AI Architect who bridges software development, data engineering, and advanced AI/ML. You will design and code AI solutions that leverage large language models, embeddings and retrieval&#8209;augmented generation while ensuring robust data pipelines and integration with our software products. This role requires a strong foundation in software engineering and data engineering along with deep expertise in AI/ML.Key Responsibilities1. Cross&#8209;Disciplinary Solution Design&#9675; Engage with stakeholders to understand product requirements and architectend&#8209;to&#8209;end solutions incorporating data ingestion, model training, deploymentand monitoring.&#9675; Design systems that combine traditional software components with AI/ML modelsand modern data engineering practices.2. Hands&#8209;On Development&#9675; Write and maintain production&#8209;quality code across back&#8209;end services, datapipelines and model inference layers, primarily using Python and at least oneother language (e.g. .Net, Java).&#9675; Build RESTful or gRPC APIs to expose AI functionality and integrate withfront&#8209;end and other microservices.3. Data Engineering &amp; Pipeline Construction&#9675; Develop and manage data pipelines for ingestion, transformation and storage(using tools such as Apache Spark, Kafka, Airflow, SQL/NoSQL databases).&#9675; Work with vector databases and embedding stores for retrieval&#8209;augmentedsystems.&#9675; Ensure data quality, schema management and robust ETL processes thatsupport model training and inference.4. Advanced AI/ML &amp; LLM Expertise&#9675; Train, fine&#8209;tune and deploy machine&#8209;learning and deep&#8209;learning models,including large language models (LLMs) and transformer architectures (e.g.,GPT, Llama, Mistral).&#9675; Implement embedding techniques (e.g., sentence and document embeddings),retrieval&#8209;augmented generation (RAG) pipelines and hybrid search (vector +keyword).&#9675; Build customised pipelines using frameworks like LangChain, LLamaIndex orsimilar to integrate models with diverse data sources.5. System Optimisation &amp; Scalability&#9675; Optimise model performance (latency, throughput and accuracy) for productionworkloads, using techniques such as model quantisation, batching and caching.&#9675; Scale services using containerisation (Docker) and orchestration (Kubernetes) oncloud platforms (AWS, Azure, GCP).6. Collaboration &amp; Mentorship&#9675; Collaborate with software engineers, data scientists and DevOps teams to delivercohesive solutions.&#9675; Mentor junior engineers and share best practices in software development, dataengineering and AI/ML.7. Monitoring &amp; Maintenance&#9675; Implement observability for data pipelines and AI services (logging, metrics,model drift detection).&#9675; Continuously monitor and iterate models and pipelines based on feedback andnew data.Required Skills &amp; Qualifications&#9679; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, ArtificialIntelligence or related field.&#9679; Experience: Minimum 6&ndash;8 years in software development and data engineering, with atleast 3 years of hands&#8209;on AI/ML experience.&#9679; Proficiency in Python and deep familiarity with AI/ML frameworks (e.g., PyTorch,TensorFlow, Scikit&#8209;learn) and LLM libraries (e.g., Hugging Face Transformers,LangChain).&#9679; Hands&#8209;on experience building and deploying large language models, embeddings, RAGpipelines and vector&#8209;database&#8209;powered applications.&#9679; Strong knowledge of data engineering tools (Spark, Kafka, Airflow), relational andNoSQL databases, and proficiency in SQL.&#9679; Experience designing and operating microservices, APIs and containerised applicationson cloud platforms.&#9679; Solid understanding of MLOps best practices (CI/CD for ML, model versioning,automated testing, monitoring).&#9679; Strong problem&#8209;solving and communication skills; ability to translate businessrequirements into technical designs.Preferred Qualifications&#9679; Experience with GPU orchestration (NVIDIA Triton, KServe) for model serving.&#9679; Knowledge of privacy&#8209;preserving techniques and responsible AI practices.&#9679; Exposure to reinforcement learning or recommendation systems.What We Offer&#9679; The chance to work on cutting&#8209;edge AI projects integrating software, data and advancedmodels.&#9679; A collaborative environment where hands&#8209;on coding and architectural leadership gohand in hand.&#9679; Support for ongoing learning and professional development in AI/ML and dataengineering.&#9679; Health Insurance&#9679; Gadget AllowanceJob Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthWork Location: In person

AI Architect – Software & Data Engineering, LLM/RAG Specialist

nextChainX

Company: NextChainX (Pvt) Ltd Location: Karachi, Pakistan (Onsite Only) Position Type: Full-Time Experience: 3&ndash;4 years Start: Immediate joiners preferredAbout NextChainXNextChainX builds AI-, Blockchain-, and FinTech-powered products that solve real-world problems at scale. You&rsquo;ll join a focused team shipping secure, high-performance systems for global users.Role OverviewWe&rsquo;re hiring a Python Developer with strong Django or Flask skills and hands-on Machine Learning experience. You&rsquo;ll design, build, and optimize production APIs and services, and collaborate with AI/ML and product teams to deliver scalable features.Key Responsibilities<ul><li>Build and maintain backend applications in Python (Django/Flask)</li><li>Design and implement RESTful APIs; integrate third-party services</li><li>Train/deploy/integrate ML models into production systems</li><li>Translate business needs into technical specs and deliverables</li><li>Optimize performance, scalability, reliability, and security</li><li>Write clean, well-tested, documented code; review PRs</li><li>Troubleshoot, debug, and upgrade existing services</li><li>Contribute to architecture and technical decision-making</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s in CS/SE or related discipline</li><li>3&ndash;4 years professional Python experience</li><li>Strong with Django or Flask</li><li>Practical ML experience (model development or integration)</li><li>Databases: MySQL / PostgreSQL / MongoDB</li><li>Strong grasp of OOP, design patterns, and architecture</li><li>Git (GitHub/GitLab) and modern dev workflows</li><li>Comfortable owning features end-to-end and collaborating cross-functionally</li></ul>Preferred / Nice to Have<ul><li>Microservices design and distributed systems</li><li>Cloud (AWS/GCP/Azure) and CI/CD exposure</li><li>Containerization (Docker, Kubernetes)</li><li>Experience with AI/Blockchain applications</li></ul>What We Offer<ul><li>Competitive salary (commensurate with experience)</li><li>Work on cutting-edge AI &amp; Blockchain products</li><li>Growth-oriented, collaborative engineering culture</li><li>Professional development opportunities</li><li>Onsite role in our Karachi office with global exposure</li></ul>Interview Process (fast-track)<ul><li>20&ndash;30 min screening call</li><li>Technical interview (system design + Python/ML)</li><li>Final culture/fit discussion + offer</li></ul>How to ApplySend your CV to hr@nextchainx.io with the subject: Python Developer &ndash; Karachi (3&ndash;4 Years). Include: links to GitHub/portfolio, notice period, and expected salary.Application window: We&rsquo;re shortlisting on a rolling basis this week.Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthExperience:<ul><li>python: 3 years (Required)</li></ul>Location:<ul><li>Karachi Gulshan-E-Iqbal (Required)</li></ul>Work Location: In personApplication Deadline: 29/08/2025

Python Developer (Onsite – Karachi) — Urgent Hiring

Explore 356+ Machine learning engineer in Karachi this September. Find roles across top companies and apply now to boost your career.