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data scientist / developer

senior ai / ml engineer

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senior data scientist

MTP (Mayfair Technology Partners)

We are seeking a highly motivated and analytical AI/ML Data Scientist to join our data-driven team. In this role, you will be responsible for designing and deploying machine learning models that solve real-world problems and drive strategic decisions. Your insights and algorithms will directly impact our products, services, and customer experience.Key Responsibilities:<ul><li>Build, test, and deploy predictive and classification models using advanced machine learning techniques.</li><li>Analyze structured and unstructured data to extract insights and trends.</li><li>Collaborate with cross-functional teams including data engineers, product managers, and software developers.</li><li>Perform data wrangling, feature engineering, model selection, and hyperparameter tuning.</li><li>Communicate technical results and insights to both technical and non-technical stakeholders.</li><li>Monitor and evaluate model performance, making continuous improvements as needed.</li><li>Contribute to research and experimentation in the field of AI/ML to innovate and solve new challenges.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Statistics, or a related field.</li><li>4+ years of hands-on experience in data science, machine learning, or AI.</li><li>Proficiency in Python and libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.</li><li>Strong background in statistics, data modeling, and algorithm development.</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI).</li><li>Knowledge of SQL and working with large-scale data systems.</li><li>Solid understanding of supervised and unsupervised learning techniques.</li></ul>Preferred Qualifications:<ul><li>Experience with deep learning, NLP, or computer vision.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML deployment tools.</li><li>Exposure to MLOps practices, version control (Git), and model tracking tools like MLflow or Weights &amp; Biases.</li><li>Excellent communication, collaboration, and problem-solving skills.</li></ul>Onsite Fulltime PositionShifts: 11 AM to 8 PM and 12 PM to 9 PMMonday to FridayIT Tower Gulberg LahoreJob Type: Full-timeWork Location: In personJob Type: Full-timePay: From Rs200,000.00 per monthWork Location: In person

Senior Data Scientist

DevConsole

Job Title: Data Science Engineer (AI/ML Expertise) Company name: DevConsole Location: On-site ( Eithad town, Raiwand road Lahore)Job Type: Contractual Experience: 3+ years Salary: 120k - 250k Timings: 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, and 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>If you are intrested kindly share your resume with subject Data Scientist at hr@dev-console.comJob Type: Contract Contract length: 3 monthsPay: Rs120,000.00 - Rs300,000.00 per monthWork Location: In personExpected Start Date: 13/10/2025

Web Applications & Data Integration Company

Job Title: Senior Data Scientist &ndash; ELK Stack &amp; Analytics Location: College Road, Township, Lahore Job Type: Full-Time Working Hours: 9:00 PM &ndash; 6:00 AM PKT Department: Data &amp; Analytics Reports To: Data Analytics ManagerJob Overview: We are seeking a Senior Data Scientist with deep expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analysis. This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You&rsquo;ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.Key Responsibilities:<ul><li>Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.</li><li>Design and manage robust data pipelines using Logstash and other ETL tools to feed into Elasticsearch.</li><li>Build and maintain Kibana dashboards for real-time visualization and analytics.</li><li>Analyze large-scale datasets to identify trends, anomalies, and actionable insights.</li><li>Write and optimize complex MySQL queries to support deep-dive analysis and reporting needs.</li><li>Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.</li><li>Support development of machine learning models or predictive analytics where applicable.</li><li>Document processes, pipelines, and findings for knowledge sharing and reproducibility.</li><li>Mentor junior team members and contribute to data governance and quality initiatives.</li></ul>Required Qualifications:<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related discipline.</li><li>Minimum 4 years of experience in data science, analytics, or a similar technical role.</li><li>Proven experience working with the ELK Stack (Elasticsearch, Logstash, Kibana) in a production environment.</li><li>Advanced proficiency in SQL, especially with MySQL optimization for large and complex queries.</li><li>Experience in Python or R for data analysis and scripting.</li><li>Strong foundation in data modeling, ETL pipelines, and data warehousing.</li><li>Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.</li></ul>Preferred Skills:<ul><li>Experience with big data technologies (e.g., Apache Spark, Hadoop).</li><li>Familiarity with cloud platforms like AWS, especially their data and log services is preferred</li><li>Knowledge of machine learning, predictive modeling</li><li>Domain experience in finance, healthcare, e-commerce, or SaaS environments is preferred but not required</li></ul>Ready to lead cutting-edge analytics and log intelligence? Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence.Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This is night time position 9pm to 6am. Are you willing to proceed?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data Analyst: 3 years (Preferred)</li></ul>Work Location: In person

Senior Data Analyst - BI Experience is MUST

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
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 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
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 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
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 Transform raw data into features suitable for modeling and insights.
 </li>
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 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
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 Analyze and process unstructured text data for business use cases.
 </li>
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 Translate complex data problems into clear, actionable insights.
 </li>
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 Proactively identify opportunities for data-driven improvements across departments.
 </li>
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 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
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 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
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 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
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 2&ndash;3 years of experience in a data science role.
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 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
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 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
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 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
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 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

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

CrecenTech

We are looking for a strategic and technically skilled AI/ML Lead to define and drive our organization&rsquo;s artificial intelligence roadmap. This key leadership position blends advanced hands-on AI/ML development with strategic oversight. The ideal candidate will design and deliver scalable AI solutions, lead engineering teams, and embed intelligent capabilities into our core platforms and products. We seek someone who is both visionary and results-driven&mdash;capable of turning complex business needs into real-world, impactful AI applications.Key Responsibilities:<ul><li>Design and deploy end-to-end AI/ML solutions across areas such as:</li><li>Computer Vision: Object detection, OCR, facial recognition</li><li>Natural Language Processing (NLP): Semantic search, chatbots, summarization</li><li>AI Agents &amp; Knowledge Bots: RAG (retrieval-augmented generation), agentic workflows</li><li>Predictive Analytics: Classification, forecasting, and recommendations</li><li>Customize and fine-tune pre-trained and open-source models using production data</li><li>Integrate AI capabilities into platforms such as StaffViz and internal CRMs</li><li>Architect AI systems utilizing vector databases, knowledge bases, and RAG methods</li><li>Mentor engineering teams on AI/ML tools, methodologies, and best practices</li><li>Collaborate closely with DevOps and software teams for smooth deployments</li><li>Stay current with industry advancements in AI, research trends, and tools</li></ul>Required Technical Skills:<ul><li>Strong command of Python, PyTorch, TensorFlow, Scikit-learn</li><li>Experience with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, Haystack</li><li>API development using FastAPI or Flask</li><li>Solid understanding of Docker, Git, and CI/CD workflows</li></ul>Hands-on Expertise In:<ul><li>Computer Vision: YOLOv8, Detectron2, SAM, CLIP, OpenCV</li><li>LLMs/NLP: LLaMA 2, Falcon, Mistral, T5, GPT-J, Zephyr, Orca</li><li>Speech AI: Whisper, Coqui TTS, ESPnet</li><li>AI Agents: CrewAI, AutoGPT, BabyAGI</li><li>Vector Databases: Weaviate, Pinecone, ChromaDB, FAISS</li><li>Predictive Modeling: XGBoost, LightGBM, Prophet</li></ul>Preferred Tools &amp; Experience:<ul><li>Experiment tracking with MLFlow or Weights &amp; Biases</li><li>Familiarity with cloud-based AI services (AWS, GCP, Azure)</li></ul>Leadership &amp; Collaboration:<ul><li>Proven team leadership and mentoring experience</li><li>Strong communication and problem-solving skills</li><li>Ability to manage cross-functional initiatives in dynamic environments</li></ul>Qualifications:<ul><li>8+ years of experience in AI/ML development</li><li>At least 4 years in a technical or team leadership role</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related fields</li><li>Demonstrated success in delivering AI solutions from concept to production</li></ul>Employee Benefits:<ul><li>13 Salaries Per Year (1 Salary as a Bonus)</li><li>At least two bonuses per year (Eid Bonus)</li><li>Monthly Punctuality Allowance</li><li>Monthly Inflation Allowance</li><li>Performance-Based Bonuses</li><li>Annual Leaves Encashment</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Double salary on Gazetted Holidays</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul>Job Location: Model Town Link Road, Lahore Job Timings: Evening ShiftJob Type: Full-timeApplication Question(s):<ul><li>Have you deployed AI/ML models into production environments using tools like FastAPI, Docker, and CI/CD pipelines?</li><li>What are your salary expectations?</li><li>Are you comfortable working evening shifts?</li><li>Have you fine-tuned or deployed large language models (LLMs) such as LLaMA 2, Falcon, or Mistral?</li><li>Are you familiar with cloud AI services like AWS SageMaker, Google Vertex AI, or Azure ML?</li><li>Have you spent a minimum of 4 years in a technical leadership or team lead role?</li></ul>Experience:<ul><li>AI/ML: 8 years (Preferred)</li></ul>Work Location: In person

Senior Lead AI/ML Engineer

Analytiverse

Company Description At Analytiverse, we leverage state-of-the-art methodologies to derive crucial insights from data, uncovering hidden patterns and emerging trends. Our services span from data wrangling to predictive analytics, converting raw data into practical and strategic intelligence. Passionate about empowering data-driven decision-making, we use advanced analytics to help businesses thrive. Our work transforms data into a powerful tool for business success.About the jobWe are seeking a proactive and motivated Software Engineer &ndash; Python Developer to join our development team. This role is well-suited for candidates with 0&ndash;6 Month of practical experience in Python programming who are eager to grow their skills in a collaborative environment. You will work closely with senior developers, contributing to the design, development, testing, and maintenance of services, automation scripts, and applications.Core Responsibilities <ul><li>Assist in designing, coding, and maintaining backend components using Python.</li><li>Develop APIs and integrate third-party services under the guidance of senior engineers.</li><li>Write clean, maintainable, and scalable code following best practices.</li><li>Take part in regular code reviews and continuous learning sessions.</li><li>Stay current with the latest trends in Python and backend technologies.</li></ul>Requirements<ul><li>1 Year of hands-on or project-based Python development experience with strong exposure to Data Science and Machine Learning concepts.</li><li>Proficiency in Python libraries such as Pandas, NumPy, Matplotlib, Seaborn.</li><li>Experience working with public datasets and drawing insights from large data sources.</li><li>Solid problem-solving skills and attention to detail.</li><li>Ability to work both independently and as part of a collaborative team.</li><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or a related field.</li></ul>Job Type: Full-timeExperience:<ul><li>python, Machine learning: 2 years (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

AI Trainee

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1256 senior data scientist jobs IN Lahore

Senior Data Scientist

Senior Data Scientist

Senior Data Analyst - BI Experience is MUST

Data Scientist, Tech

DATA SCIENTIST

Senior Lead AI/ML Engineer

AI Trainee