senior ai/ml engineer

Liquid Technologies

<p>We are seeking an experienced and innovative Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, NLP, computer vision, and large-scale ML systems, with a passion for applying AI to solve complex real-world problems.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy end-to-end ML pipelines (data preprocessing, model training, evaluation, deployment).</li><li>Lead R&amp;D in deep learning, NLP, computer vision, and generative AI to build state-of-the-art solutions.</li><li>Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.</li><li>Optimize models for scalability, performance, and efficiency.</li><li>Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.</li><li>Conduct experiments, analyze results, and present insights to stakeholders.</li><li>Stay updated with the latest advancements in AI/ML and evaluate their applicability.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Data Science, or related field (PhD preferred).</li><li>4+ years of experience in AI/ML model development and deployment.</li><li>Strong programming skills in Python with libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face.</li><li>Expertise in one or more areas: NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).</li><li>Strong background in data structures, algorithms, and mathematics for ML.</li><li>Proven track record of deploying ML models into production environments.</li></ul><p>Location: Karachi (On-site)</p><p>Department: Artificial Intelligence / Data Science</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>Have you deployed at least 3 machine learning models into a production environment?</li><li>On a scale of 1 to 10, how would you rate your proficiency in PyTorch?</li><li>Do you have hands-on experience with Kubernetes for scaling ML workloads?</li><li>What's your Current Salary?</li><li>What's your Expected Salary?</li><li>If selected, how soon can you join us?</li><li>Are you comfortable to commute to Zamzama?</li></ul><p>Work Location: In person</p>

Senior AI/ML Engineer

HUMAN FORCE GROUP

<p>We&rsquo;re looking for a Senior AI/ML Engineer to join our growing AI services company as a foundational technical leader. You&rsquo;ll design and build production-grade AI/ML solutions across computer vision, NLP, and generative AI, while mentoring and leading a team as we scale.</p><p><b>What You&rsquo;ll Do :</b></p><p>&#9679; Architect and develop end-to-end AI/ML solutions from data processing to deployment, across diverse domains (vision, NLP, GenAI, predictive systems).</p><p>&#9679; Design scalable pipelines, implement best practices, and set engineering standards.</p><p>&#9679; Guide algorithm/model selection, review code, debug complex issues, and make key technical decisions.</p><p>&#9679; Mentor and upskill junior engineers, fostering a strong learning and innovation culture.</p><p>&#9679; Collaborate with clients and cross-functional teams to define solutions that are robust, accurate, and scalable.</p><p>&#9679; Stay ahead of industry trends and emerging technologies to keep our solutions cutting-edge.</p><p><b>What You Bring: </b></p><p>&#9679; 5+ years of hands-on experience building and deploying ML models in production. &#9679; Strong expertise in:</p><p>&#9675; Computer Vision &ndash; CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, detection/segmentation models.</p><p>&#9675; NLP &ndash; Transformers (BERT, T5, GPT), tokenization, embeddings, HuggingFace, spaCy/NLTK.</p><p>&#9675; Generative AI &ndash; LLM orchestration (LangChain), RAG, chatbots, prompt engineering, vector DBs (FAISS/Pinecone).</p><p>&#9679; Solid ML foundations (classical algorithms, feature engineering, evaluation) with Python, Scikit-learn, XGBoost/LightGBM.</p><p>&#9679; Deployment experience on AWS/Azure/GCP, FastAPI/Flask, Docker/Kubernetes, CI/CD, and MLOps best practices.</p><p>&#9679; Excellent communication, problem-solving, and mentorship abilities with a track record of guiding teams technically.</p><p><b>Nice to Have</b></p><p>&#9679; Startup or consulting experience handling multiple AI projects simultaneously</p><p>&#9679; Experience with real-time inference, model optimization (quantization/pruning), or edge deployment</p><p>&#9679; Contributions to open-source or published work in AI/ML</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior AI / ML Engineer

Force Cloud LLC

HR Ways

<p>About the job Senior AI/ML Engineer - Remote from Lahore</p><p><b>Hiring Senior AI/ML Engineer - Remote from Lahore</b></p><p><b>&#65279;Client Company Introduction:</b></p><p><b>&#65279;</b>An AI-based agriculture technology firm headquartered in Canada.<br/>&#65279;<br/><b>&#65279;Job Description:</b></p><ul><li><b>Data Preparation &amp; Baseline Model:</b></li></ul><p>Audit and validate annotated datasets for quality and consistency. Define data schema, coordinate systems, and identifiers. Implement preprocessing workflows (tiling, normalization, augmentation). Split data into training, validation, and test sets for robust evaluation. Train baseline object detection or counting models (e.g., YOLO, Faster R-CNN). Deliver baseline performance report with metrics (precision, recall, counting error).</p><ul><li><b>Model Optimization &amp; Calibration:</b></li></ul><p>Optimize model performance using hyper-parameter tuning and hard example mining. Validate across diverse conditions and unseen data. Implement geospatial alignment and calculate object densities or spatial statistics. Calibrate detection thresholds for precision and recall balance. Compare automated results with manual benchmarks and refine accordingly.</p><ul><li><b>Cloud Deployment &amp; Output Generation:</b></li></ul><p>Containerize models (Docker) and deploy on AWS or Azure using services like Sage Maker, ECS, or Azure ML. Automate inference pipelines integrated with S3, Blob Storage, or Data Lakes. Generate structured outputs (CSV, GeoTIFF, GeoJSON) for analytics and visualization. Expose APIs for inference job submission and results retrieval. Test scalability and runtime efficiency across sample datasets.</p><ul><li><b>Reporting, QA, and Knowledge Transfer:</b></li></ul><p>Develop automated reporting tools summarizing predictions and insights (PDF or dashboard format). Conduct end-to-end QA for accuracy, reliability, and coordinate integrity. Document workflows, performance benchmarks, and retraining processes. Provide knowledge transfer and technical training for internal teams.</p><p><b>Required Skills &amp; Experience:</b></p><ul><li><b>5+ years of experience in Machine Learning, AI, or Computer Vision.</b></li><li>Expertise in <b>Python, PyTorch/TensorFlow, OpenCV, and NumPy/Pandas</b>.</li><li>Proficiency with annotation tools such as Roboflow and CVAT for dataset labeling and management.</li><li>Experience with cloud-based ML deployment on AWS or Azure.</li><li>Strong background in object detection, segmentation, and model optimization.</li><li>Familiarity with geospatial data processing (GDAL, GeoPandas, rasterio, shapely).</li><li>Proficiency with Docker, API development (FastAPI/Flask), and automation scripts.</li><li>Excellent documentation, reporting, and presentation skills.</li></ul><p><b>Other Details:</b></p><ul><li><b>Work Mode: Remote from Lahore</b></li><li><b>Experience: 5+ Years in AI/ML</b></li></ul><ul><li><b>Working Timings: 9am-6pm</b></li></ul><p><b>About HR Ways:</b></p><p>HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. &#65279;Join our WhatsApp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.&quot;</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

SplashBI

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Splash Business Intelligence</b></h3><p>
Data Reporting &amp; Analytics Software</p>
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div><p>Job Description</p>
<p>
We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div><p></p>
<br><div></div><ul><div><div><div><h6 class="jobSectionHeader"><b>Career Level</b></h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Experience</b></h6>
<div><ul><div>5-6 Years</div><div>6-7 Years</div><div>8-9 Years</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Qualification</b></h6>
<div><ul><div>Master Degree</div></ul></div></div></div></div></ul>

MAERSK

<p></p><div><div><div>Job Description
</div></div><div><div><div><div><div><div><div><div><div><p><b>A.P. Moller - Maersk
</b><br>
<br>
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
<br>
<br>
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
<br>
<br>
We are responsible for moving 20 % of global trade &amp; is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer&rsquo;s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners.
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li><p>Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value.
</p></li><li><p>Lead and execute end-to-end AI/ML projects &mdash; from data exploration and model development to validation, deployment, and monitoring in production.
</p></li><li><p>Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI.
</p></li><li><p>Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking.
</p></li><li><p>Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews.
</p></li><li><p>Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams.
</p></li><li><p>Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement.
</p></li></ul><p></p><p><b>We are looking for:
</b></p><ul><li><p>A <b>seasoned AI/ML engineer </b>with <b>7+ years </b>of hands-on experience delivering enterprise-grade AI/ML solutions.
</p></li><li><p>Advanced proficiency in <b>Python, SQL, PySpark, </b>and experience working with <b>cloud platforms (Azure preferred) </b>and tools such as <b>Databricks, Synapse, ADF, and Web Apps.
</b></p></li><li><p>Strong expertise in applied <b>text analytics, NLP </b>, and <b>Generative AI </b>, with real-world deployment exposure.
</p></li><li><p>Solid understanding of <b>model evaluation, optimization, bias mitigation, and monitoring in production.
</b></p></li><li><p>A problem solver with <b>scientific rigor, </b>strong business acumen, and the ability to bridge the gap between data and decisions.
</p></li><li><p>Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines.
</p></li><li><p>Bachelor's or master&rsquo;s degree in computer science, Engineering, Statistics, or a related quantitative field. A PhD is a plus.
</p></li><li><p>Prior understanding in business domain of shipping and logistics is an advantage.
</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.<br>
</p><p></p><p>We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</p></div><p></p>

Devsinc

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


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