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senior machine learning engineer computer vision nlp

PackageX

<div>
 About PackageX:
 
 
 PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.
 
 
 Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.
 
 
 We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.
 
 
 About the Role:
 
 
 We are looking for a passionate and experienced Machine Learning Engineer with a strong background in Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to join our growing AI team. The ideal candidate is someone who stays up to date with the rapidly evolving ML ecosystem, has hands-on experience solving real-world problems, and can take ownership of end-to-end ML solutions &mdash; from research to deployment.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, build, and deploy machine learning models, particularly in the areas of computer vision and NLP
 </li>
 <li>
 Develop and fine-tune large language models (LLMs) for specialized use cases
 </li>
 <li>
 Translate business and product challenges into ML solutions
 </li>
 <li>
 Collaborate closely with product, design, and engineering teams to integrate ML models into real-world applications
 </li>
 <li>
 Research and implement state-of-the-art techniques while staying ahead of emerging trends in ML and AI
 </li>
 <li>
 Optimize ML models for deployment on mobile and edge devices (Android/iOS)
 </li>
 <li>
 Analyze and improve model performance through rigorous testing and evaluation
 </li>
 <li>
 Document findings, contribute to knowledge sharing, and mentor junior engineers if needed.
 
 
 
 </li>
 </ul>
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 5+ years of hands-on experience in machine learning
 </li>
 <li>
 Strong foundation in Computer Vision (e.g., image classification, object detection, OCR) and NLP (e.g., transformers, text generation, embeddings)
 </li>
 <li>
 Experience working with Large Language Models (OpenAI, Hugging Face, LLaMA, etc.)
 </li>
 <li>
 Solid understanding of ML frameworks such as TensorFlow, PyTorch, or JAX
 </li>
 <li>
 Experience deploying ML models in production environments
 </li>
 <li>
 Proven track record of solving real-world business or technical problems using machine learning
 </li>
 <li>
 Familiarity with optimizing ML models for mobile and edge devices is a strong plus
 </li>
 <li>
 Proficient in Python and ML tooling (e.g., NumPy, Pandas, scikit-learn, Hugging Face, OpenCV)
 </li>
 <li>
 Strong analytical and problem-solving skills
 
 
 
 </li>
 </ul>
 Nice to have skills:
 
 
 <ul>
 <li>
 A strong plus if you have worked on deploying ML models on mobile platforms
 </li>
 <li>
 Experience working with machine learning models on mobile devices
 </li>
 <li>
 Exposure to MLOps pipelines and tools (e.g., MLflow, Weights &amp; Biases)
 </li>
 <li>
 Contributions to open-source projects or technical blogs
 </li>
 <li>
 Master's or PhD in Computer Science, AI, Machine Learning, or related field
 
 
 
 </li>
 </ul>
 What can you expect from the application process?
 
 
 All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.
 
 
 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.
</div>

Senior Machine Learning Engineer (Computer Vision & NLP)

<div><div><div>About PackageX:</div><div>
PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.</div><div></div><div> 
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.</div><div></div><div> 
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</div><div></div><div> 
About the Role:</div><div>
We are looking for a passionate and experienced Machine Learning Engineer with a strong background in Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to join our growing AI team. The ideal candidate is someone who stays up to date with the rapidly evolving ML ecosystem, has hands-on experience solving real-world problems, and can take ownership of end-to-end ML solutions &mdash; from research to deployment.</div><div></div><div> 
Key Responsibilities:</div><ul><li>Design, build, and deploy machine learning models, particularly in the areas of computer vision and NLP.</li><li>Develop and fine-tune large language models (LLMs) for specialized use cases.</li><li>Translate business and product challenges into ML solutions.</li><li>Collaborate closely with product, design, and engineering teams to integrate ML models into real-world applications.</li><li>Research and implement state-of-the-art techniques while staying ahead of emerging trends in ML and AI.</li><li>Optimize ML models for deployment on mobile and edge devices (Android/iOS).</li><li>Analyze and improve model performance through rigorous testing and evaluation.</li><li>Document findings, contribute to knowledge sharing, and mentor junior engineers if needed..</li></ul><div></div><div> 
Required Skills &amp; Qualifications:</div><ul><li>5+ years of hands-on experience in machine learning.</li><li>Strong foundation in Computer Vision (e.g., image classification, object detection, OCR) and NLP (e.g., transformers, text generation, embeddings).</li><li>Experience working with Large Language Models (OpenAI, Hugging Face, LLaMA, etc.).</li><li>Solid understanding of ML frameworks such as TensorFlow, PyTorch, or JAX.</li><li>Experience deploying ML models in production environments.</li><li>Proven track record of solving real-world business or technical problems using machine learning.</li><li>Familiarity with optimizing ML models for mobile and edge devices is a strong plus.</li><li>Proficient in Python and ML tooling (e.g., NumPy, Pandas, scikit-learn, Hugging Face, OpenCV).</li><li>Strong analytical and problem-solving skills.</li></ul><div>
</div><div>
Nice to have skills:</div><ul><li>A strong plus if you have worked on deploying ML models on mobile platforms.</li><li>Experience working with machine learning models on mobile devices.</li><li>Exposure to MLOps pipelines and tools (e.g., MLflow, Weights &amp; Biases).</li><li>Contributions to open-source projects or technical blogs.</li><li>Master's or PhD in Computer Science, AI, Machine Learning, or related field.</li></ul><div></div><div> 
What can you expect from the application process?</div><div>
All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</div></div> 
<div></div>
<div><div>
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.</div></div></div>

Ähdus Technology GmbH

<div>
 
 Job Title:
 
 Senior Artificial Intelligence (AI) Engineer
 
 
 
 Location:
 
 Bahria Town, Phase 7, Rawalpindi
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 About the Role:
 
 
 
 We are hiring a
 
 Senior AI Engineer
 
 to lead the design, development, and deployment of intelligent systems that solve complex real-world problems. You will work on a broad range of AI technologies&mdash;including machine learning, deep learning, NLP, and computer vision and collaborate with cross-functional teams to deliver scalable, AI-driven solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI solutions, from data processing to model deployment.
 </li>
 <li>
 Work on diverse AI domains including NLP, computer vision, recommendation systems, and decision intelligence.
 </li>
 <li>
 Lead model experimentation, optimization, and evaluation using advanced techniques.
 </li>
 <li>
 Collaborate with data scientists, engineers, and product managers to integrate AI into applications.
 </li>
 <li>
 Stay updated with the latest AI research and translate cutting-edge advancements into production-grade tools.
 </li>
 <li>
 Ensure ethical and responsible AI use, including bias detection and explainability.
 </li>
 <li>
 Mentor junior engineers and contribute to AI system architecture and strategy.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
 </li>
 <li>
 5+ years of experience in AI/ML development, including large-scale model deployment.
 </li>
 <li>
 Strong knowledge of Python, deep learning frameworks (PyTorch, TensorFlow), and ML libraries.
 </li>
 <li>
 Experience with cloud-based AI platforms (AWS/GCP/Azure) and MLOps tools.
 </li>
 <li>
 Solid understanding of algorithms, data structures, and software engineering practices.
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Experience with generative AI, reinforcement learning, or multimodal systems.
 </li>
 <li>
 Published research or open-source contributions in AI-related fields.
 </li>
 <li>
 Experience building AI products in sectors like healthcare, finance, retail, or robotics.
 </li>
 </ul>
</div>

Senior Artificial Intelligence (AI) Engineer

IKONIC

<div>
 
 Position Title:
 
 Machine Learning Engineer
 
 
 
 Timings:
 
 4:00 pm - 1:00 am
 
 
 
 Department:
 
 AI ML
 
 
 
 Location:
 
 Ikonic, Plot # 176, Korang Road, near Rahat Bakers, I-10/3, Islamabad
 
 
 
 About Us:
 
 
 
 IKONIC is a US-based IT company headquartered in Miami, Florida, serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation, ownership, and outcomes are core to how we work.
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking a skilled
 
 Machine Learning Engineer
 
 to design, develop, and deploy scalable
 
 ML models and data-driven solutions
 
 .
 
 
 You will collaborate with data scientists, software engineers, and product teams to bring machine learning models from concept to production helping the organization leverage data for predictive insights, automation, and innovation.
 
 
 
 Education &amp; Professional Qualification:
 
 
 
 <ul>
 <li>
 Bachelor or equivalent degree from a reputed educational institute, preferably in computer programming, computer science, or a related field.
 </li>
 <li>
 Certification(s): Not mandatory, but certification in a relevant field is a plus.
 
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 Minimum 2+ years of experience in Machine Learning Engineering with a proven portfolio of relevant projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize machine learning models for prediction, classification, and recommendation tasks.
 </li>
 <li>
 Preprocess, clean, and transform large datasets for model training and evaluation.
 </li>
 <li>
 Select appropriate algorithms and tune hyperparameters to maximize model accuracy and efficiency.
 </li>
 <li>
 Work with deep learning frameworks (TensorFlow, PyTorch, Keras) for model development.
 </li>
 <li>
 Implement feature engineering techniques to enhance model performance.
 </li>
 <li>
 Develop data pipelines for continuous training and deployment (MLOps).
 </li>
 <li>
 Deploy models in production environments using REST APIs, Docker, or cloud ML platforms.
 </li>
 <li>
 Monitor, evaluate, and retrain models to maintain performance over time.
 </li>
 <li>
 Collaborate with data teams to align ML outputs with business objectives.
 </li>
 <li>
 Stay updated with the latest advancements in ML, DL, and AI research.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Strong programming skills in Python and experience with libraries such as scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn.
 </li>
 <li>
 Hands-on experience with TensorFlow or PyTorch.
 </li>
 <li>
 Solid understanding of supervised, unsupervised, and reinforcement learning techniques.
 </li>
 <li>
 Experience working with SQL / NoSQL databases.
 </li>
 <li>
 Familiarity with MLOps, model versioning, and CI/CD pipelines.
 </li>
 <li>
 Strong grasp of data preprocessing, feature selection, and model evaluation metrics.
 </li>
 <li>
 Proficiency with cloud services (AWS SageMaker, GCP Vertex AI, or Azure ML).
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Nice To Have:
 
 
 
 Knowledge of Natural Language Processing (NLP) or Computer Vision.
 
 
 Experience with Generative AI, LLMs, or RAG pipelines.
 
 
 Familiarity with data visualization tools (PowerBI, Tableau).
 
 
 Exposure to big data frameworks (Spark, Hadoop).
 
 
 Understanding of statistics and probability for model validation.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 EOBI
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Accommodation
 </li>
 <li>
 Annual Leaves
 </li>
 <li>
 Casual leaves
 </li>
 <li>
 Sick Leaves
 </li>
 <li>
 Bereavement Leaves
 </li>
 <li>
 Marriage Leaves
 </li>
 <li>
 Paternity Leaves
 </li>
 <li>
 Maternity Leaves
 </li>
 <li>
 Recreational area for in-house games
 
 
 
 </li>
 </ul>
 
 Why Should You Join IKONIC?
 
 
 
 At IKONIC, we believe in providing development opportunities to all its employees which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
 
 
 <ul>
 <li>
 A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
 </li>
 <li>
 A Dynamic Environment where we focus on encouraging initiatives, promoting agility and creating a work/life balance. We know the value you bring in and we aim to nurture it.
 </li>
 <li>
 Market Competitive Compensation based upon your professional qualifications and skill set.
 </li>
 <li>
 As an Equal employment opportunity provider. All employment associated decisions are based on an individual's merit.
 
 
 
 </li>
 </ul>
 
 Note: Above goals and job descriptions are indicative and subject to change.
 
</div>

Machine Learning Engineer

Maeme's Limited

We're Hiring: AI DeveloperLocation: Islamabad, Lahore Employment Type: Full-TimeAre you passionate about building the next generation of intelligent systems using cutting-edge AI technologies? We&rsquo;re looking for an AI Developer with hands-on experience in Large Language Models (LLMs), token-based systems, machine learning, and Python programming to join our innovative team.As an AI Developer, you will be instrumental in designing, developing, and deploying AI-driven applications and tools. You&rsquo;ll work on real-world challenges involving natural language processing, generative AI, and advanced model integration using state-of-the-art LLMs.Key Responsibilities<ul><li>LLM Frameworks: LangChain, AutoGPT, CrewAI</li><li>Model APIs: OpenAI (GPT-4), Claude, Gemini, LLaMA, Mistral</li><li>Vector Databases: Pinecone, Weaviate, FAISS</li><li>Function Calling: OpenAI Tools, LangChain Tools</li><li>Agent Memory: Redis, ChromaDB, Supabase</li><li>Multi-modal Inputs: Vision, Speech, Language</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li><li>Strong proficiency in Python and machine learning libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, Scikit-learn).</li><li>Experience working with LLMs (e.g., OpenAI GPT models, LLaMA, Claude, or similar).</li><li>Solid understanding of tokenization, embeddings, and model prompt design.</li><li>Hands-on experience in training, fine-tuning, or deploying ML/NLP models.</li><li>Strong problem-solving skills and ability to work both independently and collaboratively.</li></ul>Apply now: Send your Resume at&middot; E.mail: hhtechsolution01@gmail.com&middot; WhatsApp: +923174967217&middot; Inbox: www.linkedin.com/in/h-h-tech-solution-09722b321Job Type: Full-timeWork Location: In personJob Type: Full-timeWork Location: In person

AI Developer

Rapid Labs

About us:Rapid Labs is a dynamic leader in the AI revolution, dedicated to crafting groundbreaking solutions that redefine industries such as Retail, Healthcare, Legal, and Finance. With expertise in technologies like Computer Vision, Natural Language Processing, and AI-powered Chatbots, we aim to elevate user experiences and streamline business operations. Join us on our mission to leverage artificial intelligence for impactful change and a better tomorrow!Job Overview:We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and systems that will enhance our product offerings. This role requires a deep understanding of machine learning algorithms, data processing techniques, and software development.Key Responsibilities:<ul><li>Lead the design and implementation of machine learning models and algorithms.</li><li>Collaborate with data scientists, engineers, and product managers to integrate models into production systems.</li><li>Optimize and scale machine learning models for performance and reliability.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Stay up-to-date with the latest research and advancements in machine learning and AI.</li><li>Mentor junior engineers and contribute to the overall growth of the ML team.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>Minimum of 03 years of experience in machine learning, data science, or a related field.</li><li>Proficiency in programming languages such as Python</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Solid understanding of data structures, algorithms, and software engineering principles.</li><li>Expertise in model deployment and monitoring.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently with minimal supervision.</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Blue Area IslamabadOffice Hours: 05:00 PM to 02:00 AM (Monday to Friday) Note: Please answer all the pre-screening questions; otherwise, your job application will be automatically rejected. Thank you!Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many days do you have to serve as notice period with your current employer?</li><li>Can you design a machine learning model that avoids overfitting without reducing accuracy?</li><li>Have you ever optimized a model&rsquo;s inference time by more than 30% through code or architecture changes? </li><li>Can you implement feature selection techniques using statistical or algorithmic methods (e.g., Chi-square, LASSO)? </li><li>Do you understand how to deploy ML models using Docker or cloud-based services? </li><li>Can you explain or calculate the time complexity of a custom algorithm you&rsquo;ve written? </li><li>Have you monitored model drift or used automated retraining pipelines in production? </li><li>How many end-to-end ML projects have you completed that included data preprocessing, model training, and deployment?</li><li>Can you debug and fix performance issues in large datasets exceeding 10 million rows? </li><li>9.	Have you ever implemented or fine-tuned a deep learning model using frameworks like TensorFlow or PyTorch? </li><li>Can you independently evaluate model performance metrics (e.g., precision, recall, F1-score, ROC-AUC) and interpret them accurately? </li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML: 3 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer - Onsite - Islamabad

AnyWhere Talent

<div>AI Developer (Full-Time, Remote) 
About Us: 
Anywhere Talent is redefining how businesses connect with global talent. Founded in 2015 by brothers Aamir and Asif, the company was born out of a vision to harness the potential of remote work. Today, we specialize in bridging businesses with skilled talent worldwide. We leverage cutting-edge AI tools to streamline workflows and customize training. By fostering seamless collaborations, we help businesses unlock potential, adapt, and grow in a rapidly changing world. At Anywhere Talent, we don&rsquo;t just connect businesses with talent&mdash;we create partnerships that drive success. 
Overview 
The AI Developer will be a pivotal force in driving our technological advantage, designing, developing, and deploying machine learning models and intelligent solutions that enhance our talent-sourcing, workflow optimization, and business intelligence capabilities. This role will directly influence how Anywhere Talent connects businesses with talent, ensuring our platform remains at the forefront of the industry.

This is a full-time, remote position requiring 40 hours per week (Monday&ndash;Friday, 9:00 AM &ndash; 5:00 PM CST). The ideal candidate is passionate about solving complex business problems using advanced statistical methods and machine learning. 
Key Responsibilities 
<ul>
<li>
Design and Development: Lead the development and deployment of scalable AI and machine learning models (e.g., NLP for resume parsing, predictive models for talent matching, and optimization algorithms for workflow streamlining).</li>
<li>Data Pipeline Management: Build and maintain robust, efficient data pipelines to collect, process, and transform raw data into features suitable for model training.</li>
<li>Model Optimization: Continuously monitor, evaluate, and fine-tune existing models for improved performance, accuracy, and efficiency.</li>
<li>Collaboration: Work closely with the product and operations teams to identify AI opportunities and translate business requirements into technical specifications.</li>
<li>Research &amp; Innovation: Stay current with the latest advancements in AI/ML and recommend new technologies or methods to maintain our competitive edge.</li></ul> 


Qualifications 
<ul>
<li>
Education &amp; Experience: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.</li>
<li>Technical Proficiency: Strong expertise in programming languages commonly used for AI (e.g., Python).</li>
<li>Problem-Solving: Excellent analytical and problem-solving skills with a deep understanding of statistical modeling and data structures.</li>
<li>Communication: Ability to clearly communicate complex technical concepts to non-technical stakeholders.</li></ul> 


Anywhere Talent is proud to be an equal opportunity workplace. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. 
Join Anywhere Talent and play a pivotal role in empowering businesses with your expertise. Let&rsquo;s create partnerships that drive success together! 
 
 
Apply now and embark on a rewarding journey with us!</div>

Explore 608+ Senior machine learning engineer computer vision nlp in Islamabad this November. Find roles across top companies and apply now to boost your career.

608 senior machine learning engineer computer vision nlp jobs IN Islamabad

Senior Machine Learning Engineer (Computer Vision & NLP)

Senior Machine Learning Engineer (Computer Vision & NLP)

Senior Artificial Intelligence (AI) Engineer

Machine Learning Engineer

AI Developer

Senior AI/ML Engineer - Onsite - Islamabad

AI Developer