deep learning engineer

Q Mart | كيو

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  The Role
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  We are seeking a Data Scientist / Machine Learning Engineer who specializes in Recommendation Systems. You will move beyond simple analysis to research, build, and deploy production-grade models that power discovery for millions of users.
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  In this role, you will bridge the gap between research and engineering. You will design advanced architectures and ensure they run efficiently at scale. You will work closely with our leadership and data engineering teams to turn trillions of data points into experiences that anticipate user intent in real-time.
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  Build End-to-End Recommendation Pipelines: Design and implement scalable recommendation architectures to surface relevant content from large catalogs
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  .Full-Cycle Project Ownership: Take ownership of projects across the complete Machine Learning lifecycle, driving initiatives from initial problem formulation and exploratory analysis to model training, validation, and post-deployment monitoring.
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  Advanced Behavioral Modeling: Develop and train deep learning models (e.g., GNNs, Transformers, Wide-to-Narrow networks) to create rich user and item embeddings based on authentic interactions.
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  Scalable Multi-GPU Training: Design and execute distributed training workflows for large-scale deep learning models, utilizing multi-GPU strategies and parallel computing techniques to maximize training throughput and handle massive datasets efficiently.
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  Strategic Signal Extraction &amp; Feature Modeling: Systematically mine and sift through high-dimensional user, track, and streaming event data to distinguish between subtle implicit signals and explicit feedback, mathematically modeling these behaviors to engineer dense, predictive features that enhance model performance.
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  Production Engineering: Write clean, production-ready code (Python) and oversee the deployment of models into high-availability environments. You will optimize models for low latency to ensure instant load times.
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  Cross-Functional Collaboration: Partner closely with Product and Engineering teams to translate business requirements into technical specifications, ensuring seamless development, integration, and deployment of models into the core product ecosystem.
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  Successful Candidates will have
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  3+ years of experience: in Data Science or Machine Learning Engineering, with a specific focus on building and deploying Recommendation Systems in production environments.
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  Strong Engineering Chops: Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow).You are comfortable writing production-grade code that can handle large-scale data, not just notebooks.
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  Deep Learning Expertise: Practical knowledge of modern ML techniques relevant to RecSys, such as Deep Clustering, Graph Neural Networks (GNNs), Transformers, and Representation Learning.
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  Architecture Experience: Familiarity with vector databases, embedding spaces, and cloud infrastructure (GCP/AWS) required to support high-velocity data ingestion and real-time inference.
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  Mathematical Foundation: Solid understanding of advanced statistical concepts, matrix factorization, and probability distributions.
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  Product-First Mindset: A drive to solve complex product problems&mdash;such as "churn reduction" or "session continuity"&mdash;using data, rather than just optimizing theoretical metrics.
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  Bonus Points
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  Experience in the retail and shopping domains.Experience with "Agentic AI" or semantic search technologies.Knowledge of user behavior analysis within recommender loops.
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Data Scientist / Machine Learning Engineer

Fiblix

<p><b>Position Type:</b> Full-Time, Remote<br/><b>Location:</b> Remote (Worldwide)<br/><b>Reports to:</b> Technical Director / CTO</p><p><b>About the Role</b></p><p>We are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.</p><p>You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.</p><p>Key ResponsibilitiesAI/ML Development</p><ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul><p>LLM &amp; NLP Integration</p><ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul><p>Data Science &amp; Analytics</p><ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul><p>MLOps &amp; Production Systems</p><ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul><p>AI Integrations</p><ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul><p>Required QualificationsExperience</p><ul><li><b>Minimum 5-8 years</b> in AI/ML and Data Science</li><li><b>Minimum 5 years</b> deploying production ML systems at scale</li><li><b>Minimum 3 years</b> with deep learning frameworks</li><li><b>Minimum 2 years</b> with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul><p><b>Education</b></p><ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul><p><b>Technical Skills</b></p><p><b>Programming:</b></p><ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul><p><b>ML Frameworks:</b></p><ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul><p><b>NLP &amp; LLMs:</b></p><ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul><p><b>MLOps:</b></p><ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul><p><b>Cloud Platforms (at least two):</b></p><ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul><p><b>Data Engineering:</b></p><ul><li>Apache Spark, data warehousing, stream processing</li></ul><p><b>Soft Skills</b></p><ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul><p>Job Type: Full-time</p><p>Pay: From Rs200,000.00 per month</p>

Senior AI/ML Engineer & Data Scientist

Indigo Textile Pvt. Ltd.

<p><b>JOB DESCRIPTION</b></p><p>We are seeking a proactive and innovative <b>AI Engineer</b> to join our team.<br/>The ideal candidate will be passionate about AI technologies and eager to apply machine learning solutions to real-world challenges.</p><p><b>KEY RESPONSIBILITIES</b></p><ul><li>Design, develop, and deploy machine learning models and AI applications.</li><li>Evaluate and improve the performance of AI models.</li><li>Collaborate with cross-functional teams to build AI-driven solutions.</li><li>Maintain technical documentation and ensure data privacy &amp; security.</li><li>Transform data science prototypes into production-ready ML systems.</li><li>Stay updated with the latest trends and advancements in AI and machine learning.</li></ul><p><b>REQUIRED SKILLS</b></p><ul><li>3 to 5 years experience and Hands-on projects in ML, deep learning, NLP, computer vision</li><li>GitHub or portfolio</li><li>Strong understanding of machine learning algorithms and deep learning frameworks</li></ul><p>Apply at hr@indigo.com.pk</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Sr. AI Engineer

Htech Solution Pvt. Ltd.

<p><b>Job Title:</b> AI Engineer / AI Specialist</p><p><b>Industry:</b> IT Security &amp; Surveillance<br/><b>Location:</b> Karachi<br/><b>Experience:</b> 3&ndash;5 Years</p><p><b>Job Summary</b></p><p>We are looking for an AI Engineer to design, develop, and implement artificial intelligence solutions for security and surveillance systems. The role focuses on enhancing monitoring capabilities, automating threat detection, and improving operational efficiency through AI-driven technologies.</p><p><b>Key Responsibilities</b></p><ul><li>Develop and deploy AI/ML models for surveillance and security applications.</li><li>Implement computer vision solutions such as object detection, facial recognition, and behavior analysis.</li><li>Integrate AI solutions with command &amp; control platforms, and monitoring tools.</li><li>Build predictive analytics models for threat detection and anomaly identification.</li><li>Optimize AI models for real-time processing and performance.</li><li>Collaborate with IT, networking, and cybersecurity teams for secure system deployment.</li><li>Maintain AI pipelines including data preprocessing, training, validation, and deployment.</li><li>Monitor model performance and continuously improve accuracy.</li><li>Ensure compliance with cybersecurity and data privacy standards.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Strong knowledge of Machine Learning and Deep Learning concepts.</li><li>Experience with Python and AI frameworks (TensorFlow, PyTorch, OpenCV).</li><li>Knowledge of computer vision and video analytics.</li><li>Experience with REST APIs and system integration.</li><li>Understanding of data structures, algorithms, and model optimization.</li><li>Familiarity with cloud or edge AI deployment is a plus.</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience in surveillance systems or security environments.</li><li>Knowledge of real-time analytics and AI automation.</li><li>Exposure to smart city or command &amp; control center projects.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI Engineer / AI Specialist

NVIDIA

<div><div>NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing &mdash; with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as &ldquo;the AI computing company&rdquo;.</div><div></div><div>
We are looking for an AI &amp; Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning &amp; AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AI, recommendation systems, image classification, speech recognition, etc. With the rapid advancement of AI, our DLC has been the backbone of NVIDIA&rsquo;s inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Time and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.</div><div></div><div>
What you&rsquo;ll be doing:</div><ul><li><div>
Analyzing deep learning networks and developing compiler optimization algorithms.</div></li><li><div>
Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software.</div></li><li><div>
Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.</div></li></ul><div></div><div>
What we need to see:</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.</div></li><li><div>
3+ years of relevant work or research experience in performance analysis and compiler optimizations.</div></li><li><div>
Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).</div></li><li><div>
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.</div></li><li><div>
Ability to work independently, define project goals and scope, and lead your own development efforts.</div></li><li><div>
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.</div></li></ul><div></div><div>
Ways to stand out from the crowd:</div><ul><li><div>
Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.</div></li><li><div>
Understanding of deep learning models, algorithms and frameworks, such as PyTorch, JAX.</div></li><li><div>
GPU kernel authoring and performance analysis using tools such as Nsight Compute.</div></li><li><div>
A track record of success in mentoring early-career engineers and interns is a bonus.</div></li><li><div>
Track record on new hardware bring-up is a plus.</div></li></ul><div></div><div>
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until February 27, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Senior Compiler Engineer, AI Inference Platforms

MetaXperts (Pvt) Ltd.

<p>An AI engineer designs, builds, and deploys artificial intelligence systems that automate tasks, generate insights, or enhance user experiences. They apply machine learning models, optimise performance, and integrate AI into business processes.</p><p>Responsibilities include selecting appropriate models, managing training data, evaluating accuracy, and deploying AI-powered solutions via APIs or microservices.</p><p>Must have enterprise grade production experience regarding development &amp; deployment of Computer Vision applications using deepstream.</p><ul><li>Designing AI systems using deep learning, reinforcement learning, or rule-based logic</li><li>Collaborating with data scientists to transition models from research to production</li><li>Developing APIs and microservices to serve models</li><li>Testing and validating AI performance across use cases</li><li>Implementing pipelines for feature engineering and model retraining</li><li>Supporting infrastructure for experimentation and model monitoring</li><li>Ensuring models are secure, fair, and explainable</li><li>Managing model deployment on premises or in cloud environments</li><li>Documenting system behaviour, inputs, and outputs</li><li>Working closely with product teams to embed AI into workflows</li></ul><p>Job Type: Full-time</p><p>Pay: Rs50,000.00 - Rs100,000.00 per month</p><p>Work Location: In person</p>

AI/ML Engineer

Riveron

<div><p>Riveron is looking for a Senior Engineer specializing in generative AI applications, you will be pivotal in developing and optimizing comprehensive machine learning pipelines. Your role will involve close collaboration with cross-functional teams to create scalable and efficient large language models (LLMs) tailored to meet the diverse needs of our enterprise clients.</p><p></p><p><b>
Who You Are:</b></p><ul><li><p>
You hold a Master&rsquo;s / Graduation in Computer Science, Machine Learning, Artificial Intelligence, or a related field</p></li><li><p>
You have over 5 years of experience in machine learning, deep learning, and natural language processing.</p></li><li><p>
You are proficient in programming with Python and have hands-on experience with key ML frameworks such as TensorFlow and PyTorch.</p></li><li><p>
You possess expertise in generative AI LLM models and frameworks, along with a deep understanding of machine learning algorithms and neural networks.</p></li><li><p>
You have a solid background in designing and deploying AI applications, along with familiarity with MLOps practices and tools.</p></li><li><p>
You excel in problem-solving and can effectively communicate complex technical concepts to both technical and non-technical stakeholders.</p></li></ul><p></p><p><b>
What You'll Do:</b></p><ul><li><p>
Design, develop, and deploy innovative generative AI models, optimizing them for specific use cases.</p></li><li><p>
Lead the training and fine-tuning of LLMs, enhancing performance through effective prompt engineering.</p></li><li><p>
Identify and mitigate model inaccuracies and hallucinations in generated content.</p></li><li><p>
Collaborate with data scientists, software engineers, and product managers to build robust AI solutions.</p></li><li><p>
Conduct research to advance the state-of-the-art in generative AI technologies.</p></li><li><p>
Maintain high-quality code while following best practices in software development and AI model deployment.</p></li><li><p>
Stay current with advancements in machine learning, deep learning, and natural language processing.</p></li><li><p>
Mentor junior engineers, fostering a culture of collaboration and innovation within the team.</p></li><li><p>
Communicate project progress and technical concepts to diverse stakeholders, ensuring alignment across teams.</p></li></ul><p>
#yantra</p><p></p><p><b>
About Riveron:</b></p><p>
At Riveron, we partner with clients&mdash;from global multinationals to high-growth private entities&mdash;to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client-centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well-being in and out of the office.
</p><p></p><p>Check us out on social media:
</p><p>LinkedIn Glassdoor Instagram Facebook
</p><p></p><p><i>Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.</i></p><p></p><p>
This position is eligible for a full range of benefits including medical, dental, and vision insurance, 401(k) with company match, and PTO. A complete description of all available benefits can be found at Riveron's Benefits page at https://riveron.com/riveron-life/.</p><p></p><h3 class="jobSectionHeader"><b>
Fraud Alert</b></h3><p>
Please beware of fraudulent schemes or impersonations when going through the job application process. A Riveron employee will never recruit via text or extend unsolicited employment offers. Additionally, a Riveron employee will never ask you to exchange money or purchase anything as part of the recruiting process.</p><p></p><h3 class="jobSectionHeader"><b><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></b></h3></div>

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