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learning engineer

Confiz

<div>We are seeking a Machine Learning Engineer with 3-7 years of experience in the field. The ideal candidate will have a strong foundation in low-level machine learning skills, data science, and advanced AI techniques. You will be working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other state-of-the-art toolchains. Additionally, familiarity with cloud operations will be beneficial. If you are passionate about pushing the boundaries of AI and enjoy working on complex challenges, we want to hear from you.
Responsibilities:
<ul><li>Design, implement, and optimize machine learning models and algorithms, focusing on low-level techniques and cutting-edge AI methodologies.</li>
<li>Develop and maintain data pipelines, perform exploratory data analysis, and apply data preprocessing techniques to ensure high-quality input for machine learning models. LLM &amp; RAG Implementation: Leverage and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to create innovative solutions and enhance model performance.</li>
<li>Utilize and integrate modern toolchains and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) to build and deploy machine learning models.</li>
<li>Manage and optimize machine learning workflows in cloud environments (e.g., AWS, Google Cloud, Azure), ensuring scalability and efficiency.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on project goals and deliver high-impact solutions.</li>
</ul>
Requirements:
<ul><li>Minimum 3 years of professional experience in machine learning and AI engineering.</li>
<li>Proficiency in Python and relevant libraries (e.g., NumPy, pandas, scikit-learn). Strong understanding of machine learning algorithms, statistical analysis, and model evaluation techniques.</li>
<li>Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies, including fine-tuning and deployment.</li>
<li>Solid background in data science principles, including data preprocessing, feature engineering, and model selection.</li>
<li>Cloud Operations: Experience with cloud platforms (AWS, Google Cloud, Azure) and knowledge of cloud-based machine learning services and deployment strategies.</li>
<li>Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and version control systems (e.g., Git).</li>
<li>Strong analytical and problem-solving skills, with the ability to tackle complex challenges and derive actionable insights.</li>
<li>Excellent communication skills, with the ability to present technical concepts clearly and effectively to non-technical stakeholders.</li>
<li>Experience working in an Agile or iterative development environment is a plus.</li>
</ul>
We have a global team of amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. 
 
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. 
 
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 
To know more about Confiz, visit: https://www.linkedin.com/company/confiz/</div>

Machine Learning Engineer

Arc Inventor

rc Inventador is a fast-growing technology company specializing in building scalable and innovative SaaS solutions for global clients. We focus on software development, cloud-based product engineering, and digital transformation. Our team is passionate about delivering intelligent platforms that solve real-world business challenges across multiple industries.As a Machine Learning Engineer, you will play a critical role in designing, developing, and deploying advanced NLP and conversational AI solutions. You will work on speech technologies, automation, and intelligent workflows, collaborating closely with backend engineers, product teams, and voice platform experts. This position requires strong technical expertise, hands-on coding skills, and a product-focused mindset.Key ResponsibilitiesNLP Development<ul><li>Build and deploy NLP pipelines for intent detection, entity extraction, sentiment analysis, and conversational flow management using libraries such as NLTK, spaCy, or Transformers.</li><li>Fine-tune and maintain language models to deliver domain-specific conversational experiences.</li></ul>Machine Learning &amp; Conversational AI<ul><li>Design and implement ML models for dialog management, FAQ automation, and multi-turn conversation flows across chat and voice platforms.</li><li>Prototype intelligent automation features including call summarization, intent routing, and IVR automation.</li></ul>Speech Technologies<ul><li>Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) systems (e.g., Whisper, Google STT/TTS, Amazon Polly).</li><li>Monitor and optimize speech model performance, latency, and reliability in production.</li></ul>Engineering &amp; Deployment<ul><li>Develop scalable ML APIs and microservices for production-grade applications.</li><li>Work with REST APIs for model integration and deployment.</li><li>Collaborate with engineers and product managers to deliver production-ready ML solutions.</li></ul>Data Handling &amp; Research<ul><li>Process, annotate, and analyze large-scale multilingual datasets for training and validation.</li><li>Document pipelines, workflows, and research findings to support knowledge sharing.</li></ul>Required Skills &amp; Experience<ul><li>Experience: 3&ndash;4 years in ML Engineering or NLP-focused roles.</li><li>NLP Expertise: Hands-on experience with NLTK, spaCy, Transformers, or similar NLP frameworks.</li><li>Machine Learning: Strong Python skills with PyTorch, TensorFlow, or scikit-learn.</li><li>Speech Technologies: Experience developing STT/TTS solutions (Whisper, Google STT/TTS, Amazon Polly, etc.).</li><li>APIs &amp; Deployment: Proficiency in working with REST APIs, microservices, and ML model deployment.</li><li>Version Control &amp; Agile: Solid understanding of Git, Agile/Scrum workflows, and collaborative development.</li><li>Coding Experience: Proven ability to write clean, maintainable, and scalable production code.</li><li>Data Handling: Exposure to large text/audio datasets for model training and evaluation.</li></ul>Job Type: Full-timeWork Location: In person

VIDIZMO LLC

<div>We are looking to add talented Machine Learning Engineers to our team, who&rsquo;ll work on developing AI-based systems for enterprise-class video streaming and processing applications. The position requires exceptional knowledge and skills in Machine Learning development such as Computer vision, development and implementation of algorithms for image processing and python. 
We provide Video Content Management systems to Fortune 5000 companies across the globe and are recognized in Gartner's Magic Quadrant. Our developed systems empower our customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using Machine Learning 
As a Machine Learning Engineer, your responsibility would be to solve complex problems by analyzing, developing, implementing AI algorithms, You should be able to evaluate existing machine learning processes both qualitative and quantitatively, Fine-tuning existing models to improve predictive performance and generate meaningful insights. Build reusable libraries as per industry standards. 
Job Description: 
<ul>
<li>
Developing, testing, and deploying machine learning algorithms to enhance VIDIZMO Cognitive &amp; Computer Vision Artificial Intelligence Capabilities &amp; Features. 
</li>
<li>Able to create and explain your own customized solutions for specific problems such as customized neural networks, loss functions, optimizers, metrics. 
</li>
Develop Applications and integrations with open Source Computer Vision and Cognitive Artificial Intelligence Services. 
<li>
</li>
<li>Perform research, development and implementation of algorithms for image processing and computer vision. 
</li>
<li>Perform qualitative and quantitative analysis of models developed. 
</li>
<li>Stay tuned to the forefront of technology research. 
</li>
<li>Proven contribution to design, development and scaling of high quality, practical reliable software.</li>
<li>Preferably worked with GANs, familiar with synthetic data generation/synthetic imagery.</li>
<li>Participate in ownership of a system that will be a core component of our machine vision and image analysis products.</li></ul> 


Essential Skills: 
<ul>
<li>
Programming experience with at least one modern language such as Python, C#, or C++ including object-oriented design.</li>
Hands-on experience with Deep Learning framework Pytorch or Tensorflow. 
<li>
</li>
<li>Experience in Computer Vision and Video analytics algorithms such as detection, classification, recognition, segmentation and tracking.</li>
<li>Experience in scaling and fine-tuning existing models</li>
<li>Ability to partake in deep learning architectural discussions and drive technical decision making</li></ul> 


Preferred Skills: 
<ul>
<li>
Hands-on experience on datasets related to video &amp; audio</li>
<li>Preferred development experience in Backend technologies i.e. C#, C,C++ , ASP.NET</li>
<li>Experience in developing Transformer and CNN -based applications.</li>
<li>Knowledge of NLP 
</li>
</ul><ul><li>Knowledge of object-oriented and functional design principles, and best practice patterns.</li></ul> 


Requirements: 
<ul>
<li>
Minimum Bachelors degree or above in Computer Science</li>
<li>Can work independently and have a go-getter attitude</li>
</ul><ul><li>1-4 years industry experience in machine learning &amp; deep Learning framework and working with large data sets and system</li>
<li>Authorized to Work Legally</li></ul> 
 
Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus 
Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA (benefits vary based on location)</div>

Associate Machine Learning Engineer

Softech Worldwide

<div>
 We are looking to add talented Machine Learning Engineers to our team, who&rsquo;ll work on developing AI-based systems for enterprise-class video streaming and processing applications. The position requires exceptional knowledge and skills in Machine Learning development such as Computer vision, development and implementation of algorithms for image processing and python.
 
 
 We provide Video Content Management systems to Fortune 5000 companies across the globe and are recognized in Gartner's Magic Quadrant. Our developed systems empower our customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using Machine Learning
 
 
 As a Machine Learning Engineer, your responsibility would be to solve complex problems by analyzing, developing, implementing AI algorithms, You should be able to evaluate existing machine learning processes both qualitative and quantitatively, Fine-tuning existing models to improve predictive performance and generate meaningful insights. Build reusable libraries as per industry standards.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Developing, testing, and deploying machine learning algorithms to enhance VIDIZMO Cognitive &amp; Computer Vision Artificial Intelligence Capabilities &amp; Features.
 </li>
 <li>
 Able to create and explain your own customized solutions for specific problems such as customized neural networks, loss functions, optimizers, metrics.
 </li>
 <li>
 Develop Applications and integrations with open Source Computer Vision and Cognitive Artificial Intelligence Services.
 </li>
 <li>
 Perform research, development and implementation of algorithms for image processing and computer vision.
 </li>
 <li>
 Perform qualitative and quantitative analysis of models developed.
 </li>
 <li>
 Stay tuned to the forefront of technology research.
 </li>
 <li>
 Proven contribution to design, development and scaling of high quality, practical reliable software.
 </li>
 <li>
 Preferably worked with GANs, familiar with synthetic data generation/synthetic imagery.
 </li>
 <li>
 Participate in ownership of a system that will be a core component of our machine vision and image analysis products.
 
 
 </li>
 </ul>
 
 Essential Skills
 
 
 
 <ul>
 <li>
 Programming experience with at least one modern language such as Python, C#, or C++ including object-oriented design.
 </li>
 <li>
 Hands-on experience with Deep Learning framework Pytorch or Tensorflow.
 </li>
 <li>
 Experience in Computer Vision and Video analytics algorithms such as detection, classification, recognition, segmentation and tracking.
 </li>
 <li>
 Experience in scaling and fine-tuning existing models
 </li>
 <li>
 Ability to partake in deep learning architectural discussions and drive technical decision making
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Hands-on experience on datasets related to video &amp; audio
 </li>
 <li>
 Preferred development experience in Backend technologies i.e. C#, C,C++ , ASP.NET
 </li>
 <li>
 Experience in developing Transformer and CNN -based applications.
 </li>
 <li>
 Knowledge of NLP
 </li>
 <li>
 Knowledge of object-oriented and functional design principles, and best practice patterns.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum Bachelors degree or above in Computer Science
 </li>
 <li>
 Can work independently and have a go-getter attitude
 </li>
 <li>
 1-4 years industry experience in machine learning &amp; deep Learning framework and working with large data sets and system
 </li>
 <li>
 Authorized to Work Legally
 
 
 </li>
 </ul>
 Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus
 
 
 Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA (benefits vary based on location)
</div>

Inoviotech

Job Title: Senior AI EngineerLocation: Karachi / Onsite Timings Evening / MorningJob Description:We are seeking an experienced Senior AI Engineer to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have deep technical expertise, strong problem-solving skills, and a passion for building scalable AI systems that deliver measurable business impact.Key Responsibilities<ul><li>Design, build, and optimize AI/ML models for a variety of use cases (NLP, computer vision, recommendation systems, predictive analytics, etc.).</li><li>Lead end-to-end solution development: data collection, preprocessing, model design, training, evaluation, and deployment.</li><li>Collaborate with cross-functional teams (Data Engineering, Product, DevOps) to integrate models into production systems.</li><li>Research and experiment with emerging AI technologies, frameworks, and tools.</li><li>Review code, provide mentorship, and promote best practices within the AI/ML team.</li><li>Monitor model performance, retraining as needed, and ensure scalability and reliability.</li><li>Prepare technical documentation and present findings to stakeholders.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (Ph.D. preferred).</li><li>5+ years of experience in AI/ML development, with at least 2 years in a senior/lead role.</li><li>Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.</li><li>Strong understanding of algorithms, data structures, and statistics.</li><li>Experience with data pipelines, cloud platforms (AWS/GCP/Azure), and MLOps tools.</li><li>Excellent problem-solving, analytical, and communication skills.</li><li>Ability to work independently and guide junior engineers.</li></ul>Nice-to-Have<ul><li>Experience with LLMs, generative AI, or reinforcement learning.</li><li>Knowledge of big data tools (Spark, Hadoop) or streaming systems (Kafka).</li><li>Contributions to open-source AI/ML projects.</li></ul>Benefits (optional)<ul><li>Competitive salary</li><li>Health insurance</li><li>Professional development opportunities</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in designing and deploying AI/ML solutions?</li><li>Which AI/ML frameworks are you most proficient in (e.g., TensorFlow, PyTorch, Scikit-learn)?</li><li>Rate your proficiency (1&ndash;5) in:</li></ul>PythonCloud platforms (AWS / GCP / Azure)MLOps / CI-CD for ML<ul><li>Describe one complex AI problem you solved and the impact of your solution. (Short answer)</li><li>What is your current notice period?</li><li>Current Salary?</li><li>Expected Salary?</li></ul>Work Location: In person

Senior AI Engineer

PACELearn, Inc.

Learning Experience DesignerJob Locations: PK &ndash; KarachiFunctional Department: Content Product DevelopmentType: Regular Full-TimeWorking hours: 12 pm &ndash; 9 pm Pakistan timeOverview:We are looking for a creative and detail-oriented Learning Experience Designer to join our back-office team in Karachi. You will collaborate closely with the U.S.-based content, marketing, and subject matter expert teams to create engaging, interactive, and effective eLearning experiences for IT and business learners.Responsibilities: include but are not limited to:&middot; Learning Design Expertise:Utilize your in-depth knowledge of learning design and delivery to create engaging and effective learning experiences. Leverage your expertise in curated content development and assessment to ensure our programs meet the highest standards of quality.<ul><li>Specialization in Skill Development:</li></ul>Bring your profound understanding of skill development to the table, incorporating cutting-edge strategies for fostering growth and proficiency in learners. Champion social learning and reflective pedagogy to encourage collaborative and meaningful interactions.<ul><li>Real-World Assessment: </li></ul>Demonstrate your proficiency in designing assessments that mirror real-world challenges, preparing learners to excel in workplace scenarios. Emphasize values-based learning design, infusing ethical considerations into the learning journey.<ul><li>Grounding in Learning Theories: </li></ul>Apply your comprehensive knowledge of learning theories and educational psychology to design experiences that align with the diverse needs and preferences of our learners.<ul><li>Research and Evaluation:</li></ul>Utilize educational research methods and statistical procedures to inform your instructional decisions and measure the impact of our programs. Your commitment to program evaluation will help us continually enhance the learning experience.<ul><li>E-Learning and Instructional Design:</li></ul>Leverage your strong skills in e-learning and instructional design to create dynamic and interactive digital learning content. Your creativity and proficiency in writing will be instrumental in crafting engaging course materials.Minimum Qualifications:Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Instructional Design, Education Technology, or a related field.</li><li>2&ndash;4 years of experience in instructional design or eLearning development.</li><li>Experience designing content for corporate training or online learning platforms.</li><li>Familiarity with LMS platforms like Moodle, Canvas, or similar.</li><li>Strong written and spoken English communication skills.</li></ul>Preferred Skills<ul><li>Hands-on experience with tools like Articulate Storyline, Rise 360, Adobe Creative Suite, Camtasia, and Vyond.</li><li>Knowledge of UX/UI principles in learning design.</li><li>Understanding of adult learning theories and learner personas.</li><li>Experience in creating workforce training content is a plus</li></ul>Competency Identifiers<ul><li>Learning design and delivery, curatc development and assessment Expertise in skill development, social learning, reflective pedagogy, real-world/workplace assessment, and values-based learning design Learning theories and educational psychology Educational research methods, statistical procedures, and program evaluation.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Your current / Last salary?</li></ul>Work Location: In person

Learning Experience Designer

Mashreq

<div>
 
 Job Purpose
 
 
 
 
 
 To lead and deliver AI initiatives with a focus on both traditional machine learning and cutting-edge generative AI. The role demands strong engineering capabilities to build, scale, and productionize models that drive business transformation, operational efficiency, and customer experience.
 
 
 
 
 
 Key result Areas
 
 
 
 
 <ul>
 <li>
 Develop and deploy machine learning models for classification, regression, clustering, and anomaly detection across business domains.
 </li>
 <li>
 Design and fine-tune generative AI models (e.g., LLMs, transformers, diffusion models) for applications such as document summarization, synthetic data generation, intelligent assistants, and automated content creation.
 </li>
 <li>
 Build robust data pipelines and model serving infrastructure using MLOps best practices to ensure scalability, reliability, and maintainability.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI opportunities and translate business needs into technical solutions.
 </li>
 <li>
 Ensure compliance with AI governance, risk strategy, and ethical standards.
 </li>
 <li>
 Mentor junior data scientists and contribute to the AI Center of Excellence.
 </li>
 </ul>
 
 
 
 
 Knowledge, Skills and Experience
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 7+ years of experience in AI/ML, including 2+ years in generative AI.
 </li>
 <li>
 Strong engineering skills in Python, SQL, and cloud platforms (Azure, AWS, GCP).
 </li>
 <li>
 Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and containerization (Docker, Kubernetes).
 </li>
 <li>
 Proficiency in deep learning frameworks (PyTorch, TensorFlow) and LLMs.
 </li>
 <li>
 Strong understanding of prompt engineering, fine-tuning, and model evaluation.
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 </ul>
 
 
</div>

AVP, Data Scientist (Mashreq Global Network Pakistan)

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Learning Experience Designer

AVP, Data Scientist (Mashreq Global Network Pakistan)