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machine learning engineer

Code Graphers

Key ResponsibilitiesModel Development &amp; Implementation<ul><li>Design, train, and fine-tune machine learning and deep learning models for NLP, computer vision, and predictive analytics tasks.</li><li>Work with frameworks like TensorFlow, PyTorch, and Scikit-learn for building and deploying ML models.</li><li>Assist in developing RAG (Retrieval Augmented Generation) pipelines and LLM-based applications under senior supervision.</li><li>Implement and maintain APIs using frameworks like FastAPI, Flask, or Django for ML model integration.</li></ul>Data Handling &amp; Preprocessing<ul><li>Perform data cleaning, feature extraction, and transformation for model readiness.</li><li>Contribute to building and maintaining data pipelines for training and inference stages.</li></ul>Deployment &amp; MLOps<ul><li>Containerize ML solutions using Docker and participate in deploying models to production environments.</li><li>Support MLOps workflows, version control using DVC, and CI/CD pipelines for continuous delivery.</li></ul>Research &amp; Collaboration<ul><li>Stay updated with the latest trends in AI, LLMs, and computer vision.</li><li>Collaborate with cross-functional teams, data engineers, and senior ML engineers to ensure robust system integration.</li><li>Document workflows, experiments, and technical findings clearly.</li></ul>QualificationsEducation:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.</li></ul>Experience:<ul><li>2&ndash;3 years of hands-on experience in machine learning model development and deployment.</li><li>Strong understanding of fundamental ML algorithms and their mathematical background.</li><li>Exposure to NLP, Computer Vision, or LLM-based systems is preferred.</li></ul>Technical Skills:<ul><li>Proficient in Python and familiar with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Knowledge of LLMs, LangChain, or RAG frameworks is a plus.</li><li>Experience with RESTful APIs and backend integration.</li><li>Familiarity with Git, Docker, and cloud platforms (AWS, GCP, or Azure).</li></ul>Nice to Have<ul><li>Experience with LoRA, QLoRA, or model fine-tuning techniques.</li><li>Familiarity with image classification, object detection, or segmentation tasks.</li><li>Exposure to auto-scaling, model optimization, or embedded ML applications.</li><li>Interest in learning advanced AI concepts like multi-agent systems, meta-learning, and generative AI.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Did you have experience with Computer vision, LLM, nlp and Audio?</li></ul>Experience:<ul><li>Machine Learning : 2 years (Required)</li></ul>Work Location: In person

Machine Learning Engineer

Marketing Tech Sol

We&rsquo;re looking for a passionate AI/ML Engineer with hands-on experience in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. If you have a solid understanding of Computer Vision and experience deploying models on cloud platforms, we&rsquo;d love to meet you.Responsibilities<ul><li>Design, train, and fine-tune LLMs (such as GPT, BERT, LLaMA, etc.) for NLP tasks</li><li>Develop intelligent and creative solutions powered by Generative AI</li><li>Work on projects involving chatbots, summarization, sentiment analysis, and text classification</li><li>Optimize and deploy AI models using frameworks like TensorFlow, PyTorch, and Hugging Face</li><li>Apply computer vision algorithms for detection and recognition tasks</li><li>Deploy and manage models on AWS, Azure, or Google Cloud</li><li>Stay current with emerging AI research and technologies</li><li>Follow best practices in AI ethics, data privacy, and model security</li></ul>Requirements<ul><li>At least 2 years of experience in Machine Learning or AI-related work</li><li>Strong background in NLP, LLMs, and Generative AI</li><li>Skilled in Python and major ML libraries (TensorFlow, PyTorch, Hugging Face)</li><li>Understanding of Computer Vision and/or Reinforcement Learning is a plus</li><li>Cloud experience (AWS, Azure, or GCP) for model deployment</li><li>Familiarity with MLOps, Docker, Kubernetes, and CI/CD pipelines</li><li>Knowledge of LangChain and LangGraph frameworks preferred</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related field</li></ul>CompensationStarting salary ranges from Rs. 95,000 to Rs. 120,000 per month, based on skills and experience.How to ApplyEmail: advitandhealthsol@gmail.com WhatsApp: 03126155418Job Type: Full-timePay: From Rs95,000.00 per monthWork Location: In person

Senior AI / Machine Learning Engineer

THE ADVANTECH

Position: Artificial Intelligence &amp; Machine Learning Engineer &ndash; AI-MLRole Overview: We are seeking a talented AI/ML Engineer with 5+ years of experience in developing, training, and optimizing AI models. The ideal candidate will have hands-on experience with frameworks like Rasa, SpaCy, and LLaMA, working on innovative applications in conversational AI, NLP, and large language models (LLMs). This role involves designing scalable AI CallBot and collaborating with multidisciplinary teams to deliver cutting-edge products.Key Responsibilities:<ul><li>Build, train, and optimize machine learning and AI models for real-world applications.</li><li>Develop and fine-tune conversational AI systems using Rasa and NLP pipelines with SpaCy or similar plateforms.</li><li>Implement and customize large language models, including LLaMA and other transformer-based architectures.</li><li>Preprocess and analyze structured and unstructured datasets for AI model development.</li><li>Evaluate model performance and iteratively improve accuracy, efficiency, and scalability.</li><li>Collaborate with product managers and engineers to integrate AI models into production systems.</li><li>Deploy models on cloud platforms and ensure reliable operation in real-time environments.</li><li>Document algorithms, workflows, and processes for reproducibility and team knowledge sharing.</li><li>Stay updated with advancements in AI, LLMs, and NLP frameworks, applying the latest techniques to projects.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>3+ years of experience in developing, training, and deploying AI/ML models.</li><li>Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li><li>Hands-on experience with Rasa, SpaCy, and large language models like LLaMA.</li><li>Strong understanding of NLP concepts, including tokenization, named entity recognition, and text classification.</li><li>Familiarity with transformer-based architectures (BERT, GPT, or similar).</li><li>Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments.</li><li>Solid grasp of data preprocessing, feature engineering, and model evaluation.</li></ul>Preferred Qualifications:<ul><li>Proven ability to design and implement conversational AI CallBot end-to-end.</li><li>Experience with additional NLP frameworks like Hugging Face or OpenAI API.</li><li>Knowledge of MLOps practices, including model monitoring and versioning.</li><li>Familiarity with Docker, Kubernetes, and microservices architecture.</li><li>Experience working with big data tools such as Spark or Hadoop.</li></ul>What We Offer<ul><li>Competitive salary and equity package.</li><li>Flexible remote/hybrid work options.</li><li>Professional development stipend for courses and conferences.</li><li>Collaborative, fast&#8209;paced environment driving digital commerce innovation.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per monthExperience:<ul><li>AI Development: 5 years (Required)</li></ul>Work Location: In person

Artificial Intelligence & Machine Learning Engineer – AI-ML

Harris Silicone & Glass Pvt. Ltd.

Junior Machine Learning / AI Engineer (Computer Vision &amp; Generative AI &ndash; LLMs)Location: On-siteExperience: 6 months &ndash; 1 yearType: Full-timeAbout the RoleWe&rsquo;re looking for a passionate Junior ML/AI Engineer with foundations in Computer Vision and Generative AI using Large Language Models (LLMs).You&rsquo;ll work on real-world AI systems combining visual intelligence (face recognition, detection, tracking) with language understanding and generation (LLM-based automation, chat systems, data agents).If you&rsquo;re excited by models like GPT, LLaMA, Mistral, or Claude, and love integrating vision + language to create smart systems &mdash; this role is for you!Key Responsibilities&middot; Build and optimize computer vision pipelines (detection, tracking, face recognition, etc.) using frameworks like OpenCV, YOLO, and InsightFace&middot; Develop LLM-powered applications (chatbots, summarizers, document understanding tools, etc.)&middot; Fine-tune and prompt LLMs (OpenAI GPTs, LLaMA, Mistral, Phi, etc.) for domain-specific use cases&middot; Integrate ML and LLM models into scalable backends (FastAPI, Flask)&middot; Collaborate on multimodal AI projects combining image and text intelligence&middot; Deploy models efficiently using Docker or ONNX Runtime&middot; Experiment with open-source models from Hugging Face and LangChain, LangGraphRequired Skills &amp; Tools&middot; Core ML &amp; AI:&middot; Python, NumPy, Pandas, Scikit-learn&middot; PyTorch or TensorFlow&middot; OpenCV, Mediapipe, InsightFace, YOLOv8Generative AI / LLMs:&middot; Hugging Face Transformers&middot; OpenAI API / Ollama / LLaMA / Mistral / Phi&middot; LangChain, LangGraph, LlamaIndex, or Haystack&middot; Prompt engineering and few-shot tuning&middot; Tokenization, embeddings, and retrieval-augmented generation (RAG)&middot; Knowledge of vector databases (FAISS, Chroma, Pinecone)Development &amp; Integration:&middot; FastAPI or Flask&middot; REST APIs, JSON, async programming&middot; Docker, Git, and basic CI/CD&middot; Bonus Skills (Nice to Have):&middot; Fine-tuning LLMs with LoRA or PEFT&middot; GPU usage (CUDA, cuDNN)&middot; Familiarity with MLOps tools (Weights &amp; Biases, MLflow, DVC)Qualifications&middot; Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field&middot; 6 months &ndash; 1 year of practical experience (internship, research, or projects)&middot; Strong understanding of ML fundamentals and interest in generative AIWhy Join Us&middot; Work on real applied AI projects in vision and language&middot; Learn directly from senior AI engineers and researchers&middot; Gain experience with state-of-the-art LLM frameworks and tools&middot; Access to GPU-powered systems, real-world data, and production pipelines&middot; A collaborative, innovative, and growth-driven cultureApply Now: https://hsxtech.odoo.com/jobs/junior-ai-developer-22Job Type: Full-timeWork Location: In person

Junior Machine Learning / AI Engineer

Axiom world (Pvt.) Ltd

We are seeking a skilled and passionate Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for developing, implementing, and optimizing machine learning models that enhance our products and solutions. You will work in a collaborative environment, with opportunities to grow and make a significant impact in the field of AI.Key Responsibilities:<ul><li>Develop and deploy machine learning models in real-world applications.</li><li>Improve and optimize existing machine learning models for better performance and scalability.</li><li>Collaborate with cross-functional teams to gather data, understand requirements, and implement AI solutions.</li><li>Research and stay updated with the latest trends in machine learning and AI technologies.</li><li>Contribute to the development of tools and frameworks for machine learning model training, evaluation, and deployment.</li><li>Write clean, maintainable, and efficient code to support machine learning workflows.</li><li>Document processes and results for future reference and knowledge sharing.</li></ul>Requirements:<ul><li>1+ years of hands-on experience in machine learning and AI model development.</li><li>Strong understanding of machine learning concepts, algorithms, and techniques.</li><li>Proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-Learn, etc.).</li><li>Experience with deep learning frameworks such as TensorFlow, PyTorch, and HuggingFace.</li><li>Familiarity with NLP libraries like SpaCy, Gensim, or transformers is a plus.</li><li>Familiarity with Agentic AI Framework such as Langchain, Langgraph, Llama index,etc (Would be a Plus point).</li><li>Knowledge of model deployment techniques and tools (FastAPI, Python asyncio).</li><li>Experience with model fine-tuning and optimizing AI models for specific use cases.</li><li>Strong analytical and problem-solving skills, with attention to detail.</li><li>Ability to work effectively in a team environment and communicate complex ideas clearly.</li><li>A passion for learning and adapting to new technologies and methodologies.</li><li>Bachelor&rsquo;s degree or higher in Computer Science, Engineering, or related field (preferred).</li></ul>Office Time: 03pm - 12amLocation : Lahore (Onsite)Job Type: Full-timeWork Location: In person

ML/AI Engineer

BM Global

Job Title: Data Science Engineer (AI/ML Expertise)Location: On-site ( Eithad town, raiwand road Lahore)Job Type: ContractualExperience: 3+ yearsSalary: 120k - 250kTimings: 9:00 pm - 4:00 am&#11835;Job Overview:We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.&#11835;Key Responsibilities:<ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul>&#11835;Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul>&#11835;What We Offer:<ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs250,000.00 per monthWork Location: On the road

DATA SCIENTIST

Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
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 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
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 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
 </li>
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 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
 </li>
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 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
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 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
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 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
 </li>
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 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
 </li>
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 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
 </li>
 <li>
 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
 </li>
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 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
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 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
 <li>
 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
 </li>
 </ul>
 
 
</div>

Data Scientist

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