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Enhance Via Ai

We are seeking a motivated AI Engineer with 1.5&ndash;2 years of hands-on experience in building and deploying AI/ML solutions. The ideal candidate will have a strong foundation in machine learning, deep learning, and data-driven problem-solving, along with the ability to work collaboratively with cross-functional teams to deliver impactful AI-powered solutions.Key Responsibilities<ul><li>Design, develop, and implement machine learning and deep learning models for real-world applications.</li><li>Preprocess, clean, and analyze structured and unstructured data to prepare it for modeling.</li><li>Work with NLP, computer vision, or predictive analytics models depending on project requirements.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with data engineers and software developers to integrate AI models into production systems.</li><li>Stay up to date with the latest advancements in AI, ML, and deep learning.</li><li>Document processes, experiments, and findings for internal knowledge sharing.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Master&rsquo;s is a plus).</li><li>1.5&ndash;2 years of experience as an AI/ML Engineer, Data Scientist, or similar role.</li><li>Solid knowledge of Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Experience in NLP, Computer Vision, or Recommendation Systems is preferred.</li><li>Understanding of data preprocessing, feature engineering, and model evaluation techniques.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML deployment.</li><li>Strong problem-solving, analytical thinking, and communication skills.</li></ul>Nice-to-Have<ul><li>Experience with LLMs (Large Language Models) or Generative AI applications.</li><li>Exposure to MLOps tools (e.g., MLflow, Kubeflow, Airflow).</li><li>Knowledge of SQL/NoSQL databases and data pipelines.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

CyberGen Faisalabad

CyberGen is a leading IT and cybersecurity company, committed to innovation and growth. We&rsquo;re expanding our technology team and seeking a highly skilled and innovative AI Engineer to design, develop, and optimize advanced AI solutions&mdash;from building and training machine learning models to deploying scalable systems that drive automation, data intelligence, and real-world impact.About the RoleWe are seeking a highly skilled AI Engineer with hands-on expertise in both traditional machine learning and cutting-edge generative AI (LLMs, diffusion models, etc.), coupled with strong experience in MLOps, API development (FastAPI), and end-to-end deployment. As a key member of our AI team, you will design, develop, deploy, and optimize AI/ML solutions that power innovative products and services for real-world impact.Key Responsibilities<ul><li>AI/ML Model Development:</li></ul>Design, build, and train traditional ML models (classification, regression, clustering, etc.) and generative AI models (NLP, LLMs, image generation, etc.) using frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace, etc.<ul><li>API &amp; Microservices:</li></ul>Build scalable and robust RESTful APIs for AI services using FastAPI (preferred) or similar frameworks. Integrate models with applications and expose inference endpoints.<ul><li>Deployment &amp; Scaling:</li></ul>Containerize applications (Docker), orchestrate with Kubernetes or similar tools, and deploy models in production environments (cloud/on-prem). Monitor, optimize, and troubleshoot AI systems post-deployment.<ul><li>Continuous Integration &amp; Delivery (CI/CD):</li></ul>Implement CI/CD workflows for automated testing, model retraining, and seamless delivery of AI features.<ul><li>Collaboration:</li></ul>Work closely with data scientists, product managers, and software engineers to translate business requirements into scalable AI solutions.<ul><li>Documentation &amp; Best Practices:</li></ul>Document design decisions, code, and model performance. Champion best practices for code quality, reproducibility, and responsible AI.Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li><li>Proven experience developing and deploying both traditional ML and generative AI models.</li><li>Minimum 2 years of professional experience in AI/ML engineering or a closely related role.</li><li>Strong proficiency in Python and relevant ML/DL libraries (scikit-learn, PyTorch, TensorFlow, HuggingFace, etc.).</li><li>Hands-on experience building REST APIs with FastAPI (or Flask/FastAPI alternatives).</li><li>Experience with containerization (Docker) and orchestration (Kubernetes).</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workloads.</li><li>Knowledge of CI/CD tools and practices.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred (Bonus) Skills<ul><li>Experience with generative AI (LLMs, diffusion models, prompt engineering, RAG, etc.)</li><li>Exposure to data versioning, model monitoring, and retraining workflows.</li><li>Knowledge of security, privacy, and responsible AI guidelines.</li><li>Open-source contributions or published AI/ML projects.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML engineering: 2 years (Preferred)</li></ul>Work Location: In person

Naseem Medical Collection Services

We are seeking a skilled Python Developer with expertise in Artificial Intelligence (AI) and hands-on experience in Forex trading. The ideal candidate will be responsible for developing intelligent trading algorithms, automating trading systems, analyzing financial data, and optimizing trading strategies. This role blends software engineering, AI/ML model development, and financial market analysis to create innovative solutions in the Forex domain.Key Responsibilities:<ul><li>Design, develop, and maintain AI-driven trading algorithms using Python.</li><li>Implement machine learning and deep learning models for market prediction, risk management, and trade optimization.</li><li>Build and manage automated trading systems (ATS) integrating with Forex platforms/brokers (e.g., MetaTrader, FIX API, OANDA).</li><li>Perform data preprocessing, feature engineering, and backtesting of trading strategies.</li><li>Analyze Forex market trends using quantitative and statistical techniques.</li><li>Optimize performance of trading bots and ensure low-latency execution.</li><li>Collaborate with financial analysts and traders to refine trading strategies.</li><li>Monitor live trading performance and make data-driven improvements.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, statsmodels).</li><li>Five years of experience as a Python developer with a major in AI, along with over one year of experience in Forex trading, either manual or algorithmic.</li><li>Strong understanding of financial markets, technical indicators, and trading strategies.</li><li>Experience with data visualization tools (Matplotlib, Plotly, Seaborn).</li><li>Knowledge of APIs for Forex brokers and trading platforms.</li><li>Strong problem-solving skills with an analytical mindset.</li><li>Familiarity with risk management, portfolio optimization, and trading psychology is a plus.</li></ul>Job Type: Full-timeWork Location: In person

Python Developer (AI & Forex Trading)

Cloudpacer

Cloudpacer is hiring an AI/ML Engineer with 2&ndash;3 years of hands-on experience in building AI-powered systems. The ideal candidate should have expertise in RAG, vector databases, agentic AI frameworks, and backend engineering using Python and modern frameworks.Key Responsibilities<ul><li>Design and implement AI-native solutions using Gen AI, RAG, and vector databases</li><li>Develop and deploy chatbots, agentic AI workflows, and decision-making systems</li><li>Build scalable backend services and APIs with Python (Django, FastAPI, Flask)</li><li>Optimize ML models for accuracy, scalability, and performance</li><li>Preprocess, train, fine-tune, and deploy ML models in production environments</li><li>Collaborate with cross-functional teams to integrate AI into real-world applications</li><li>Ensure system scalability, reliability, and maintainability</li></ul>Required Skills<ul><li>Strong programming skills in Python</li><li>Hands-on experience with Gen AI frameworks (LangChain, PydanticAI, CrewAI, Relevance AI, MCP)</li><li>Knowledge of ML/DL libraries (TensorFlow, PyTorch, Scikit-learn, Keras)</li><li>Experience with RAG-based systems and vector databases (Pinecone, FAISS, Weaviate)</li><li>Proficiency in backend frameworks (Django, FastAPI, Flask)</li><li>Database skills (PostgreSQL, MySQL, Redis)</li><li>Familiarity with Docker, AWS, and deployment pipelines</li></ul>Good to have<ul><li>Experience with NLP, LLM fine-tuning, or Computer Vision</li><li>Knowledge of MLOps tools (MLflow, Kubeflow, CI/CD pipelines)</li><li>Prior research or open-source contributions</li></ul>How to Apply: Fill out this form https://lnkd.in/dpvJE2ycLet us know how your skills can drive our projects to the next level.Location: On-site, LahoreJob Type: Full-timeWork Location: In person

AI/ML Engineer

Brickslogix

We are seeking a highly motivated AI/ML Engineers to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, artificial intelligence, data processing, and algorithm development. This role will involve building intelligent systems, analyzing datasets, and implementing cutting-edge AI solutions to support our software and product development initiatives.Key Responsibilities<ul><li>Design, develop, and deploy machine learning models and AI solutions.</li><li>Preprocess, clean, and analyze large datasets to extract insights.</li><li>Build and optimize predictive models, recommendation systems, chatbots, and other AI-driven features.</li><li>Conduct research on emerging AI/ML technologies and frameworks to enhance solutions.</li><li>Collaborate with software engineers to integrate AI/ML solutions into applications.</li><li>Fine-tune existing models for accuracy, scalability, and performance.</li><li>Work with cloud-based ML platforms (AWS, Azure, GCP) for model deployment.</li><li>Document processes, models, and findings for internal and client use.</li><li>Assist in designing proof-of-concepts (POCs) for AI-driven business solutions.</li></ul>Required Skills &amp; Qualifications<ul><li>1-3 years of experience in AI/ML experience.</li><li>Strong understanding of machine learning algorithms, deep learning, and data science principles.</li><li>Proficiency in Python, R, or other ML programming languages.</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau).</li><li>Knowledge of NLP, computer vision, or reinforcement learning is a plus.</li><li>Experience with cloud AI/ML services (AWS SageMaker, Azure ML, Google AI).</li><li>Strong analytical, problem-solving, and mathematical skills.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li></ul>Job Type: Full-timeWork Location: In person

AI / ML Engineer

Analytiverse

About the Role We are seeking a motivated and technically skilled professional to join our team as an AI/ML Engineer (AI/LLM Trainee). The ideal candidate will bring strong expertise in Python development, automation, and cloud infrastructure, along with hands-on experience in data analysis and AI frameworks. This role provides the opportunity to work on cutting-edge projects involving Lang Chain, LangGraph, and cloud-native deployments.Key Responsibilities Design, develop, and maintain automation workflows using Cron Jobs, YAML, and GitHub Workflows. Build and optimize AI-driven applications leveraging LangChain and LangGraph. &#61623; Write clean, efficient, and maintainable Python code for automation, data processing, and integration tasks. Perform data analysis to generate insights and support decision-making. Deploy, monitor, and manage scalable applications using Docker and Kubernetes. Collaborate with teams to design and implement solutions on Google Cloud Platform (GCP) or other major cloud infrastructures (AWS/Azure). Troubleshoot and resolve technical challenges, ensuring system reliability and performance.Required Qualifications Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, or a related field. 1.5 &ndash; 2 years of professional experience in a similar role. &#61623; Strong proficiency in Python and data analysis libraries (Pandas, NumPy). Solid understanding of algorithms, data structures, and statistical analysis &#61623; Familiarity with neural networks and computer vision concepts Practical knowledge of Docker and Kubernetes. Familiarity with Lang Chain and LangGraph frameworks. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services Proven ability to work collaboratively in a fast-paced environment Excellent problem-solving skills and a passion for innovationJob Type: Full-timeWork Location: In person

AI/ML Engineer (AI/LLM Trainee)

HR POD Careers

<div>
 
 Requirements:
 
 
 
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 Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field.
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 Proven experience of 5+ years in developing and deploying machine learning models in production settings.
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 Strong programming skills in Python or R, with specific expertise in libraries such as TensorFlow, PyTorch, or Scikit-learn.
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 Significant experience with data preprocessing and analysis using tools like Pandas and NumPy.
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 Expertise in cloud computing services such as AWS, Azure, or Google Cloud Platform for deploying models.
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 Familiarity with SQL and NoSQL databases for handling large datasets.
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 Experience using modern development practices such as Git for version control and Jupyter Notebooks for literate programming.
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 Familiarity with big data processing frameworks like Apache Spark or Hadoop.
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 Excellent problem-solving abilities and attention to detail.
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 Strong communication skills to effectively present technical concepts to non-technical stakeholders.
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 Proficiency in deploying models in production environments and maintaining them.
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 A proactive approach to learning and implementing new AI/ML technologies.
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 Hands-on experience with MLOps frameworks and tools such as MLflow or Kubeflow.
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 Understanding and practical experience with NLP, computer vision, or time-series forecasting.
 </li>
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 Familiarity with containerization technologies like Docker.
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 Certification in AI/ML from a recognized institution.
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
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 Develop, implement, and maintain scalable machine learning models to solve complex business problems.
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 Collaborate with cross-functional teams to understand and solve real-world challenges.
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 Analyze large and diverse datasets to derive actionable insights and improve model performance.
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 Deploy machine learning models using industry-standard practices to production environments.
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 Stay current with the latest advancements in AI/ML and incorporate modern techniques and tools into projects.
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 Optimize algorithms for performance and scalability.
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 Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
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 <li>
 Create robust, reproducible prototypes that demonstrate a high potential to add value to the business.
 
 </li>
 </ul>
</div>

AI/ML Engineer (Remote, Anywhere in Pakistan, AED Salary)

Explore 199+ Intelligence engineer in Lahore this September. Find roles across top companies and apply now to boost your career.

199 intelligence engineer jobs IN Lahore

AI Engineer

AI Engineer

Python Developer (AI & Forex Trading)

AI/ML Engineer

AI / ML Engineer

AI/ML Engineer (AI/LLM Trainee)

AI/ML Engineer (Remote, Anywhere in Pakistan, AED Salary)