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ml engineer

Techionik Ltd

An AI/ML Engineer is responsible for designing, developing, and deploying machine learning models and artificial intelligence systems that solve real-world problems. The role involves working with large datasets, building predictive models, optimizing algorithms, and integrating ML solutions into production environments. AI/ML Engineers work closely with data scientists, software engineers, and product teams to deliver scalable and efficient AI-driven applications.Key Responsibilities<ul><li>Develop, train, test, and deploy machine learning and deep learning models.</li><li>Collect, preprocess, and analyze large datasets for model training and evaluation.</li><li>Research and implement cutting-edge ML algorithms and techniques.</li><li>Build end-to-end ML pipelines (data ingestion &rarr; model training &rarr; evaluation &rarr; deployment).</li><li>Optimize model performance (accuracy, latency, scalability).</li><li>Collaborate with data scientists to translate business problems into ML solutions.</li><li>Integrate ML models into production systems using APIs, cloud services, or MLOps tools.</li><li>Monitor, maintain, and retrain models in production to ensure long-term performance.</li><li>Document model architecture, data workflow, and implementation details.</li></ul>Required Skills<ul><li>Strong experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).</li><li>Proficiency in data processing tools (Pandas, NumPy, Spark).</li><li>Knowledge of statistics, probability, and linear algebra.</li><li>Experience with machine learning algorithms (regression, classification, NLP, CV, deep learning, etc.).</li><li>Familiarity with cloud platforms such as AWS, GCP, or Azure.</li><li>Understanding of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes, CI/CD).</li><li>Strong problem-solving and analytical skills.</li></ul>Preferred Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Hands-on experience with LLM integration or generative AI.</li><li>Ability to build scalable ML architectures and work with REST APIs or microservices.</li></ul>Soft Skills<ul><li>Excellent communication and collaboration skills.</li><li>Ability to work in cross-functional teams.</li><li>Strong attention to detail and documentation.</li><li>Creative thinking and innovation mindset.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

VLINQ DIGITAL (PRIVATE) LIMITED

We are looking for a skilled and innovative AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will work on data-driven projects, collaborate with cross-functional teams, and help integrate AI technologies into existing systems and products.Key Responsibilities:<ul><li>Design, build, and deploy machine learning models for real-world applications.</li><li>Perform data preprocessing, cleaning, and feature engineering.</li><li>Evaluate and fine-tune model performance using ML metrics and validation techniques.</li><li>Collaborate with data scientists, software engineers, and product teams.</li><li>Implement AI models into production using APIs and automation pipelines.</li><li>Research and experiment with new algorithms and frameworks.</li><li>Document processes, model architectures, and deployment strategies.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li><li>2&ndash;4 years of hands-on experience in machine learning and AI development.</li><li>Strong programming skills in Python and familiarity with TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Experience with data manipulation libraries (NumPy, Pandas) and visualization tools (Matplotlib, Seaborn).</li><li>Understanding of ML algorithms, deep learning, NLP, or computer vision.</li><li>Experience deploying models using AWS, Azure, or Google Cloud AI services.</li></ul>Job Type: Full-timeWork Location: In person

Altak Group

Responsibilities<ul><li>Design, build, and deploy complete AI/ML systems from experimentation to production.</li><li>Work with LLMs, neural networks, RAG pipelines, agentic AI frameworks, and scalable data workflows.</li><li>Partner with product and engineering teams to prototype and ship several AI-driven features and products each month.</li><li>Optimize models for performance, scalability, cost efficiency, and real-world constraints.</li><li>Provide production support for deployed models and continuously iterate to improve outcomes.</li><li>Stay ahead of emerging AI technologies and integrate new tools to accelerate development cycles.</li></ul>Qualifications<ul><li>4+ years of hands-on experience in ML engineering or applied data science.</li><li>Strong expertise with LLMs, neural networks, RAG architecture, and agent-based AI systems.</li><li>Solid background in data pipeline engineering, ETL, orchestration, and distributed processing.</li><li>Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.</li><li>Familiarity with modern AI stacks, including LangChain, Hugging Face, vector databases, and related tools.</li><li>Proven experience deploying ML systems in cloud environments such as AWS, Azure, or GCP.</li><li>Strong analytical thinking, problem-solving mindset, and ability to thrive in iterative, high-velocity product cycles.</li><li>Bonus: Experience shipping multiple AI products within short development timelines.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs400,000.00 per monthApplication Question(s):<ul><li>Walk me through the most complex AI/ML system you&rsquo;ve built end-to-end. What problem did it solve, what stack did you use, and what specifically was your contribution?</li><li>Have you deployed an LLM, RAG pipeline, or agentic workflow into production? Describe the architecture, latency constraints, and how you handled scalability or cost optimization.</li><li>Explain a time you optimized a model or data pipeline for performance. What metrics improved and how did you achieve it?</li><li>Tell me about a recent AI framework, tool, or technique you adopted that significantly accelerated your delivery. Why did you choose it and what impact did it have?</li><li>You&rsquo;re tasked with shipping two AI-driven product features in a single month. What&rsquo;s your approach from discovery to deployment?</li><li>How much experience do you have with Rag Structure, LLM's, Vectorization?</li><li>Current salary</li><li>Desired salary</li><li>Notice Period Duration</li><li>Are you availabile for an online session to understand your background better between 10pm to 3am PKT ?</li></ul>Work Location: In person

H2o Labs

Job DescriptionH2O Labs is seeking a highly skilled AI/ML &amp; Data Engineer to join our innovative team. The ideal candidate will have strong expertise in Python, AI/ML, data engineering, SQL, Azure cloud services, and Power BI, with experience deploying models into production.Roles &amp; Responsibilities<ul><li>General Introduction &amp; Experience</li><li>Introduce yourself and highlight relevant AI/ML and data engineering experience.</li><li>Python &amp; AI/ML (Core Requirement)</li><li>Proficient in Python and ML/AI libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Experience building NLP models using libraries/APIs such as OpenAI, Hugging Face.</li><li>Design, develop, and evaluate ML models; provide examples of recent projects, challenges, and outcomes.</li><li>Experience in fine-tuning and deploying LLMs.</li><li>SQL &amp; Data Engineering</li><li>Write complex SQL queries: DDL, DML, joins, CTEs, window functions.</li><li>Optimize SQL queries for performance improvements.</li><li>Build and maintain ETL pipelines using relevant tools/frameworks.</li><li>Azure Cloud (Mandatory Requirement)</li><li>Hands-on experience with Azure services: Azure Data Lake, Azure ML, Databricks, Functions, etc.</li><li>Deploy ML models on Azure ML; explain the deployment process.</li><li>Familiarity with Azure Data Lake storage formats like Parquet, Delta.</li><li>Power BI</li><li>Create dashboards to deliver actionable insights.</li><li>Comfortable writing DAX measures and creating interactive visuals.</li><li>Architecture &amp; System Thinking</li><li>Design system/data architecture diagrams using Visio, Draw.io, Lucidchart, or similar tools.</li><li>Build end-to-end AI/ML pipelines: from data ingestion to model deployment.</li><li>Production Deployment</li><li>Deploy models from Jupyter Notebook to production using CI/CD pipelines and monitoring tools.</li><li>Monitor and maintain model performance post-deployment.</li><li>Preferred / Bonus Skills</li><li>Experience with R programming language.</li><li>Familiarity with Dynamics 365 CRM.</li><li>Knowledge of AI agent services, Hugging Face, or LLM-based applications.</li><li>Experience in government or enterprise-level projects.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs500,000.00 per monthWork Location: In person

AI/ML Engineer (Azure)

Hazen Technologies Inc.

<div>Position: Junior AI/ML Engineer
Work Conditions: Full-time | Onsite l 02:00 PM to11:00 PM PKT
Job Location: Gulberg III, Lahore, Pakistan
Reporting to: Head of Engineering
Company Overview:
Hazen Technologies is a leading technology company with operations in the USA and Pakistan, specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions across diverse industries. In addition, the company provides specialized BPO and custom software development services to reputable clients in the United States.
Our team consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.
Position Overview:
We are looking for a motivated and talented Junior AI/ML Engineer to join our dynamic team and contribute to developing and delivering cutting-edge solutions for our clients. You will work closely with our senior engineers to design, develop, and implement AI and ML solutions for our clients. This is a full-time, permanent position with competitive salary and benefits.
Key Responsibilities:<ul><li>
Collaborate with senior engineers to design and develop AI and ML solutions</li><li>
Write and maintain code for AI and ML algorithms</li><li>
Perform data analysis and cleaning to prepare data for model training</li><li>
Train and test models using various machine learning techniques</li><li>
Optimize models for performance and scalability</li><li>
Communicate project progress and results to team members and clients</li><li>
Stay up to date with the latest developments in AI and ML technologies</li></ul>
Key Requirements:<ul><li>
Fresh or experienced candidate having proficiency in Python</li><li>
Strong understanding of AI and ML concepts and algorithms</li><li>
Familiarity with Azure-based AI technologies will be considered a strong advantage.</li><li>
Proficiency in OOP and databases concepts</li><li>
Strong problem-solving skills and the ability to work in a fast-paced environment</li><li>
Good English communication and teamwork skills</li><li>
Ability and passionate to learn quickly</li><li>
Bachelors' / Masters' degree preferably in AI/ML/Data Science or Computer Science, Engineering, or a related field</li></ul>
Why Hazen Technologies:<ul><li>
Opportunity to work on cutting-edge projects in the exciting field of AI and ML</li><li>
Collaborative and innovative work environment</li><li>
Attractive salary and fringe benefits</li><li>
Career growth and development opportunities</li><li>
Supportive and inclusive company culture</li></ul>
If you are passionate about AI and ML and want to be a part of a dynamic and forward-thinking team, then Hazen Technologies is the place for you. Apply now and join us in shaping the future of technology.</div>

Junior AI/ML Engineer

Hazen Technologies Inc

<div>
 
 Position:
 
 Junior AI/ML Engineer
 
 
 
 
 Work Conditions:
 
 
 Full-time | Onsite l 02:00 PM to11:00 PM PKT
 
 
 
 
 Job Location:
 
 
 Gulberg III, Lahore, Pakistan
 
 
 
 Reporting to:
 
 Head of Engineering
 
 
 
 
 
 Company Overview:
 
 
 
 
 
 
 
 Hazen Technologies
 
 
 is a leading technology company with operations in the USA and Pakistan, specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions across diverse industries. In addition, the company provides specialized BPO and custom software development services to reputable clients in the United States.
 
 
 
 Our team
 
 consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.
 
 
 
 Position Overview:
 
 
 
 We are looking for a motivated and talented Junior AI/ML Engineer to join our dynamic team and contribute to developing and delivering cutting-edge solutions for our clients. You will work closely with our senior engineers to design, develop, and implement AI and ML solutions for our clients. This is a full-time, permanent position with competitive salary and benefits.
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 <ul>
 <li>
 Collaborate with senior engineers to design and develop AI and ML solutions
 </li>
 <li>
 Write and maintain code for AI and ML algorithms
 </li>
 <li>
 Perform data analysis and cleaning to prepare data for model training
 </li>
 <li>
 Train and test models using various machine learning techniques
 </li>
 <li>
 Optimize models for performance and scalability
 </li>
 <li>
 Communicate project progress and results to team members and clients
 </li>
 <li>
 Stay up to date with the latest developments in AI and ML technologies
 
 
 
 </li>
 </ul>
 
 
 Key Requirements:
 
 
 
 
 <ul>
 <li>
 Fresh or experienced candidate having proficiency in Python
 </li>
 <li>
 Strong understanding of AI and ML concepts and algorithms
 </li>
 <li>
 Familiarity with Azure-based AI technologies will be considered a strong advantage.
 </li>
 <li>
 Proficiency in OOP and databases concepts
 </li>
 <li>
 Strong problem-solving skills and the ability to work in a fast-paced environment
 </li>
 <li>
 Good English communication and teamwork skills
 </li>
 <li>
 Ability and passionate to learn quickly
 </li>
 <li>
 Bachelors' / Masters' degree preferably in AI/ML/Data Science or Computer Science, Engineering, or a related field
 
 
 
 </li>
 </ul>
 
 Why Hazen Technologies:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge projects in the exciting field of AI and ML
 </li>
 <li>
 Collaborative and innovative work environment
 </li>
 <li>
 Attractive salary and fringe benefits
 </li>
 <li>
 Career growth and development opportunities
 </li>
 <li>
 Supportive and inclusive company culture
 
 
 
 </li>
 </ul>
 If you are passionate about AI and ML and want to be a part of a dynamic and forward-thinking team, then Hazen Technologies is the place for you. Apply now and join us in shaping the future of technology.
</div>

Alpha Group of Companies

Company OverviewWe build scalable and intelligent systems to tackle complex real-world challenges in manufacturing, healthcare, retail, and e-commerce. Our culture fosters continuous learning, collaboration, and cutting-edge experimentation.Job SummaryWe are looking for a Senior AI/ML Engineer with strong hands-on expertise in developing, deploying, and scaling advanced machine learning and generative AI solutions. This role is designed for someone with deep skills in core AI areas (LLMs, deep learning, data pipelines, and MLOps), while being comfortable exploring adjacent technologies.You&rsquo;ll work on end-to-end AI/ML pipelines, from data preparation to production deployment, and lead initiatives that push the boundaries of Generative AI, LLM customization, and AI-first applications. You will also mentor team members and collaborate with cross-functional teams to deliver enterprise-grade AI systems.Key Responsibilities<ul><li>Design, train, and deploy ML/DL models for NLP, Computer Vision, or multimodal use cases.</li><li>Work with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Hugging Face, JAX, Diffusers.</li><li>Apply transfer learning, fine-tuning, and optimization techniques for LLMs and generative models.</li><li>Fine-tune and customize LLMs (GPT, LLaMA, Mistral, Grok, etc.) for domain-specific tasks.</li><li>Implement RAG (Retrieval-Augmented Generation), PEFT (LoRA/adapters), quantization, and prompt engineering.</li><li>Build and deploy generative systems for text, images, or speech.</li><li>Develop and maintain ML pipelines with MLflow, Kubeflow, TFX, or ZenML.</li><li>Use Docker, Kubernetes, and CI/CD pipelines to ensure scalable deployments.</li><li>Monitor and manage deployed models (performance, drift, retraining cycles).</li><li>Build robust data pipelines using Apache Airflow, Spark, or Dask.</li><li>Handle large, complex datasets with proper feature engineering and augmentation strategies.</li><li>Deploy and manage ML workloads on AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML, Hugging Face Spaces.</li><li>Ensure fairness, explainability (SHAP, LIME), and compliance with GDPR and AI regulations.</li><li>Mentor junior engineers and contribute to best practices in AI/ML development.</li><li>Collaborate with product managers, data engineers, and developers to deliver impactful AI solutions.</li><li>Stay updated with AI research (arXiv, NeurIPS, ICML) and apply learnings to production solutions.</li></ul>Required Qualifications &amp; Skills<ul><li>Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow, Scikit-learn).</li><li>Working familiarity with R, Julia, Scala, or Java is a plus.</li><li>Hands-on experience with Hugging Face, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow.</li><li>Proficiency with at least one major cloud provider (AWS, GCP, Azure) for ML workloads.</li><li>Experience with CI/CD, Docker, Kubernetes, Git for scalable ML deployments.</li><li>Hands-on experience with LLMs, Diffusion Models, and RAG pipelines.</li><li>Strong data engineering skills with Spark/Dask, and managing large-scale datasets.</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>Proven ability to mentor junior engineers and lead AI/ML initiatives.</li></ul>Preferred Qualifications<ul><li>Experience applying AI in Manufacturing, Healthcare, Retail, or E-Commerce.</li><li>Experience with Edge AI and IoT platforms (e.g., NVIDIA Jetson, TPUs).</li><li>Contributions to open-source, patents, or publications in AI/ML.</li><li>Familiarity with AI agent frameworks (LangGraph, CrewAI, Auto-GPT).</li></ul>Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, Electrical Engineering, or related fields.</li><li>PhD or research experience is a plus, but not mandatory.</li><li>5&ndash;7+ years of experience in AI/ML roles, with proven impact in production systems or R&amp;D projects.</li></ul>What We Offer<ul><li>High-impact projects leveraging Generative AI, LLMs, and MLOps.</li><li>Continuous learning with training budgets, cloud credits, and conference sponsorships.</li><li>Competitive salary and benefits, performance-based bonuses.</li><li>Flexible hybrid/remote work options.</li><li>Collaborative, innovative environment with opportunities for growth.</li></ul>Equal Opportunity StatementWe value diversity and inclusion, and welcome applications from all backgrounds and experiences.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthWork Location: In person

Senior AI/ML Engineer

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341 ml engineer jobs IN Lahore

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer (Azure)

Junior AI/ML Engineer

Junior AI/ML Engineer

Senior AI/ML Engineer