staff/senior platform consultant – genai specialist Jobs in Islamabad

staff/senior platform consultant – genai specialist

(remote) senior full-stack web developer Jobs in Islamabad

(remote) senior full-stack web developer

ai/ml engineer

associate engineer machine learning Jobs in Islamabad

associate engineer machine learning

associate machine learning engineer Jobs in Islamabad

associate machine learning engineer

senior data scientist

PackageX

<div>
 <strong>
  About PackageX
  <br/>
  <br/>
 </strong>
 PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.
 <br/>
 <br/>
 Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.
 <br/>
 <br/>
 We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.
 <br/>
 <br/>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a hands-on data scientist with experience in building scalable analytics and machine-learning systems, who is fluent in Python (Pandas, NumPy), SQL, and ML/DL frameworks such as TensorFlow, PyTorch or Keras, with practical knowledge of NLP, computer vision and modern modeling techniques. You should be comfortable building backend services and RESTful APIs using Django/Flask, working with Docker and Git/GitHub, and deploying on cloud platforms (AWS/GCP) while using SQL Server, MongoDB or similar DBMS. The role involves designing data models, ETL pipelines and data warehouses, integrating enterprise BI/visualization tools (Tableau, Power BI, Matplotlib/Seaborn), and applying repeatable automation, testing and CI/CD practices. Ideal candidates have experience on distributed engineering teams, can move quickly on bug fixes and enhancements, communicate clearly, bring innovative solutions to tough problems, and have weathered high-pressure projects with lessons learned.
 <br/>
 <br/>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting, analytics &amp; machine learning capabilities.
  </li>
  <li>
   Build out frameworks and services for our Machine Learning services, systems, and dashboards.
  </li>
  <li>
   Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.
  </li>
  <li>
   Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  </li>
  <li>
   Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  </li>
  <li>
   Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
  </li>
  <li>
   Work with and help implement data models/data schema&rsquo;s for data scientists &amp; data analyst to build visualizations &amp; statistical/predictive models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Are Looking For Someone Who Has
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At least 3+ years of experience working as a data scientist
  </li>
  <li>
   Expertise in Python, SQL, Pandas, NumPy
  </li>
  <li>
   Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch
  </li>
  <li>
   Understanding about depth and breadth of computer vision, NLP and deep learning algorithms
  </li>
  <li>
   Extensive expertise in Django, Flask
  </li>
  <li>
   Worked with Github, Microsoft SQL Server/MongoDB or another DBMS, AWS &amp; GCP
  </li>
  <li>
   Been part of a distributed software engineering team
  </li>
  <li>
   Experience with RESTful APIs and server-side APIs integration
  </li>
  <li>
   Worked with Docker or other containerization software
  </li>
  <li>
   Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries/NoSQL platforms
  </li>
  <li>
   Experience in designing Data Models (Data schema)
  </li>
  <li>
   Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle
  </li>
  <li>
   Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale
  </li>
  <li>
   Been on at least one &ldquo;death march&rdquo; and know exactly why some things are to be avoided.
  </li>
  <li>
   Excellent communication and interpersonal skills, taking the initiative to recommend and develop innovative solutions
  </li>
  <li>
   Fluency in Python stack for data processing, visualization, and modeling (Matplotlib/Seaborn)
  </li>
  <li>
   Experience Working with AI/Analytics teams
  </li>
  <li>
   Worked for visualization development on Enterprise Tools (Tableau, Power BI)
  </li>
  <li>
   Worked on integration of Enterprise BI tools
  </li>
  <li>
   Understanding of data mining &amp; machine learning concepts
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What can you expect from the application process?
  <br/>
  <br/>
 </strong>
 All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.
</div>


Senior Data Scientist

convo

<div><div><b>Job Summary</b></div><p></p><div><br>
We are seeking a talented and experienced<b> Data Scientist</b> with strong expertise in machine learning to join our dynamic team. The ideal candidate will have a solid background in software development, extensive experience with Python, and a proven track record in developing and deploying machine learning models. You will work collaboratively with our data science and engineering teams to build scalable machine learning solutions that drive our business forward.</div><div></div><div><b><br>
Required qualifications</b></div><ul><li>
Master's degree in Computer Science, Statistics, Mathematics, or a related field (preferred).</li><li><b>
4+ years </b>of relevant work experience in <b>Data Management, Data Science, Analytics or BI </b><b>(Must).</b></li><li>
Design, develop, and deploy ML/DL models for forecasting, NLP, computer vision, and recommendation systems.</li><li>
Strong proficiency in <b>Python programming</b> with experience in <b>data analysis libraries</b> (e.g. <b>NumPy, Pandas, Matplotlib</b>) and familiarity with <b>data manipulation techniques</b>. <b>(Must)</b></li><li>
In-depth knowledge of machine learning <b>algorithms </b>(e.g. <b>supervised learning - linear regression, random forests, support vector machines, unsupervised learning - k-means clustering, principal component analysis, deep learning - convolutional neural networks, recurrent neural networks</b>). <b>(Must)</b></li><li>
Experience with cloud platforms (e.g. <b>AWS SageMaker, GCP AI Platform, Azure Machine Learning</b>) for model training and deployment (a plus).</li><li>
Stay updated on the latest advancements in ML, and data science tools/techniques.</li><li>
Experience with version <b>c</b><b>ontrol systems (Git) </b>and familiarity with <b>continuous integration/continuous delivery (CI/CD)</b> pipelines.</li><li>
Experience with <b>database technologies (SQL and NoSQL) </b>for data storage and retrieval (a plus).</li><li>
Working knowledge of Linux operating systems and familiarity with the command line.</li></ul><div><b>
What We Have For You</b></div><div>
Great compensation package, provident fund, paid leaves, EOBI, medical benefits for you and your family, free lunch, Bi-annual performance-tied increments &amp; performance recognition awards and a great lean and agile work culture!<br>
</div><div>
Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!</div></div>

<div><div><div><b>About PackageX</b></div><div>
PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.</div><div>
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.</div><div>
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</div><div><b>
What we are looking for</b></div><div>
We&rsquo;re looking for a hands-on data scientist with experience in building scalable analytics and machine-learning systems, who is fluent in Python (Pandas, NumPy), SQL, and ML/DL frameworks such as TensorFlow, PyTorch or Keras, with practical knowledge of NLP, computer vision and modern modeling techniques. You should be comfortable building backend services and RESTful APIs using Django/Flask, working with Docker and Git/GitHub, and deploying on cloud platforms (AWS/GCP) while using SQL Server, MongoDB or similar DBMS. The role involves designing data models, ETL pipelines and data warehouses, integrating enterprise BI/visualization tools (Tableau, Power BI, Matplotlib/Seaborn), and applying repeatable automation, testing and CI/CD practices. Ideal candidates have experience on distributed engineering teams, can move quickly on bug fixes and enhancements, communicate clearly, bring innovative solutions to tough problems, and have weathered high-pressure projects with lessons learned.</div><div>
</div><div><b>
You will:</b></div><ul><li> Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting, analytics &amp; machine learning capabilities.</li><li> Build out frameworks and services for our Machine Learning services, systems, and dashboards.</li><li> Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.</li><li> Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc</li><li> Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics</li><li> Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.</li><li> Work with and help implement data models/data schema&rsquo;s for data scientists &amp; data analyst to build visualizations &amp; statistical/predictive models.</li></ul><div></div><div><br>
</div><div><b>
We are looking for someone who has:</b></div><ul><li> At least 3+ years of experience working as a data scientist</li><li> Expertise in Python, SQL, Pandas, NumPy</li><li> Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch</li><li> Understanding about depth and breadth of computer vision, NLP and deep learning algorithms</li><li> Extensive expertise in Django, Flask</li><li> Worked with Github, Microsoft SQL Server/MongoDB or another DBMS, AWS &amp; GCP</li><li> Been part of a distributed software engineering team</li><li> Experience with RESTful APIs and server-side APIs integration</li><li> Worked with Docker or other containerization software</li><li> Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries/NoSQL platforms</li><li> Experience in designing Data Models (Data schema)</li><li> Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle</li><li> Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale</li><li> Been on at least one &ldquo;death march&rdquo; and know exactly why some things are to be avoided.</li><li> Excellent communication and interpersonal skills, taking the initiative to recommend and develop innovative solutions</li><li> Fluency in Python stack for data processing, visualization, and modeling (Matplotlib/Seaborn)</li><li> Experience Working with AI/Analytics teams</li><li> Worked for visualization development on Enterprise Tools (Tableau, Power BI)</li><li> Worked on integration of Enterprise BI tools</li><li> Understanding of data mining &amp; machine learning concepts
</li></ul><div>
</div><div><b>What can you expect from the application process?</b></div><div>
All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

10Pearls

<div><p><b>Company Overview</b></p><p>
10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just facts. What makes us unique is that we have a true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good and know how to balance the two.</p><p><br>
Role:<br>
As a Senior Data Scientist, you will be responsible for analyzing complex data sets to identify trends, develop insights, and support decision-making processes. You will utilize your expertise in Python or R, SQL, exploratory data analysis (EDA), feature engineering, and basic machine learning models to deliver actionable insights. You will work closely with cross-functional teams to drive insights, build models and create data visualizations using tools like Tableau or Power BI</p><p><b>
Responsibilities:</b></p><ul><li>
Perform advanced exploratory data analysis (EDA) to uncover patterns, correlations, and actionable insights using large and complex datasets.</li><li>
Design and implement robust feature engineering and selection techniques to optimize model accuracy and efficiency.</li><li>
Formulate hypotheses and validate them through rigorous statistical testing and experimentation frameworks.</li><li>
Develop, train, and optimise machine learning models (including supervised, unsupervised, and ensemble methods) for predictive and prescriptive analytics.</li><li>
Write optimised SQL queries and leverage cloud-based data platforms (e.g., AWS Redshift, Snowflake, BigQuery) for data extraction and transformation.</li><li>
Utilise Python (preferred) and R for data wrangling, modelling, and automation, incorporating libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow where applicable.</li><li>
Create dynamic dashboards and interactive visualizations using modern BI tools (e.g., Power BI, Tableau) and consider integration with cloud services for scalability.</li><li>
Document workflows, modelling approaches, and analytical findings clearly, ensuring reproducibility and compliance with organizational standards.</li><li>
Communicate insights effectively to technical and non-technical stakeholders, using storytelling and visualization techniques to drive business decisions.</li><li>
Collaborate cross-functionally with data engineers, ML engineers, and business teams to design end-to-end data solutions and deploy models into production environments.</li><li>
Stay updated with emerging trends in AI/ML, big data technologies, and MLOps practices to continuously improve analytical capabilities.</li></ul><p><b>
Requirements:</b></p><ul><li>
07 Years of relevant experience in data analytics, machine learning, or related field.</li><li>
Proficiency in Python (preferred) or R programming languages.</li><li>
Strong SQL skills for data querying and transforming large datasets</li><li>
Expertise in exploratory data analysis (EDA), feature engineering, and statistical modelling.</li><li>
Hands-on experience with advanced machine learning algorithms and optimization techniques</li><li>
Understanding of MLOps practices for model deployment and lifecycle management (preferred)</li><li>
Strong analytical, problem-solving, and communication skills with the ability to work cross-functionally.</li><li>
Proficiency in data visualization tools (Tableau, Power BI) and storytelling with data.</li><li>
Excellent communication and collaboration abilities.</li></ul><p>
</p><p>yM3Gj4kOxo</p></div>

Staff/Senior Data Scientist - Python/R, SQL, EDA

Centrox AI

<p><b>Company:</b> Centrox AI<br/><b>Job Title: </b>Senior AI/ML Engineer<br/><b>Job Type:</b> Full time (On-site)<br/><b>Location</b>: Gulberg Greens, Islamabad</p><p>We are seeking a highly skilled <b>Senior AI/ML Engineer</b> to lead the design, development, and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, data science, model optimization, and production-level AI systems. This role involves collaborating with cross-functional teams, leading AI initiatives, mentoring junior engineers, and transforming business challenges into scalable machine learning pipelines. The candidate should be comfortable handling large datasets, building predictive models, integrating algorithms into applications, and ensuring high performance and reliability. Experience with cloud platforms, MLOps, and modern AI frameworks is essential.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy advanced Machine Learning and Deep Learning models.</li><li>Lead end-to-end AI/ML pipeline development from data preprocessing to model deployment.</li><li>Build and optimize scalable ML architectures for real-time and batch processing.</li><li>Conduct research on emerging AI techniques and integrate best practices.</li><li>Collaborate with data engineers and software developers to integrate models into production systems.</li><li>Evaluate model performance using statistical and analytical techniques.</li><li>Develop APIs and automation scripts for model serving and monitoring.</li><li>Identify business opportunities and recommend innovative AI solutions.</li><li>Mentor junior AI/ML team members and guide them through technical challenges.</li><li>Ensure data quality, security, and compliance in all AI workflows.</li><li>Work with cloud environments (AWS, GCP, Azure) for production deployments.</li><li>Document systems, workflows, and model performance for internal use.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>4+ years of professional experience in AI/ML, deep learning, or data science.</li><li>Strong programming expertise in <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b>, <b>Scikit-Learn</b>.</li><li>Hands-on experience with <b>LLMs, NLP, CNNs, RNNs, Transformers</b>.</li><li>Experience with <b>cloud services</b> (AWS Sagemaker, Azure ML, GCP Vertex AI).</li><li>Proficiency in <b>MLOps</b> (Docker, Kubernetes, CI/CD, MLflow, Airflow).</li><li>Strong understanding of <b>data pipelines</b>, ETL, and feature engineering.</li><li>Experience with <b>big data</b> tools (Spark, Hadoop, Databricks).</li><li>Strong mathematics and statistics background.</li><li>Excellent problem-solving and analytical skills.</li></ul><p><b>Preferred/Good to Have</b></p><ul><li>Experience in <b>Generative AI</b> (LLMs, diffusion models).</li><li>Knowledge of API development using <b>FastAPI or Flask</b>.</li><li>Experience with <b>vector databases</b> (Pinecone, Weaviate, FAISS).</li><li>Familiarity with <b>model optimization</b>, quantization, pruning.</li><li>Previous experience leading AI teams or projects.</li></ul><p><b>What We Offer</b></p><ul><li><b>Competitive salary package</b> based on experience and expertise.</li><li><b>Annual bonuses and performance-based rewards</b>.</li><li>Opportunity to <b>work on cutting-edge AI and Generative AI projects</b>.</li><li>A collaborative, innovative, and fast-paced work environment.</li><li>Direct involvement in impactful AI initiatives influencing company-wide strategy.</li><li>Career growth opportunities with leadership and R&amp;D roles.</li><li>Exposure to global clients and enterprise-level AI applications.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What would be your expected salary for this position?</li><li>How soon you can join us for this on-site full time position?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>relevant: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Senior AI/ML Engineer

DiveDeepAI

<p>At DiveDeepAI, we are looking for a Senior Machine Learning Engineer to join our fast-growing team in Islamabad. You will play a pivotal role in designing, developing, and deploying state-of-the-art AI models, bridging the gap between research and production.<br/>What You will do<br/>You will be the technical anchor for our AI projects, ensuring we deliver robust and innovative solutions.</p><ul><li>Innovate &amp; Architect: Continuously research and implement cutting-edge AI techniques (LLMs, Computer Vision, NLP) to enhance product innovation.</li><li>End-to-End Development: Design, develop, and deploy high-performance machine learning models to solve complex business challenges.</li><li>Optimize for Scale: Write production-grade Python code and optimize model performance using TensorFlow/PyTorch within cloud environments (AWS, GCP, or Azure).</li><li>Collaborate &amp; Lead: Work closely with cross-functional teams (Full Stack, Mobile, DevOps) to integrate AI into web and mobile platforms.</li><li>Mentorship: Guide junior engineers and contribute to code reviews and architecture discussions.</li></ul><p>What You Bring</p><ul><li>Experience: 3+ years of professional experience in Machine Learning or Data Science.</li><li>Tech Stack Mastery: Deep proficiency in Python and frameworks like PyTorch or TensorFlow.</li><li>Cloud Native: Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes).</li><li>Modern AI Knowledge: Familiarity with Generative AI, LLMs (LangChain, LlamaIndex), or RAG pipelines is a huge plus.</li><li>Engineering Mindset: You understand that a model is only as good as its deployment. You care about latency, scalability, and MLOps best practices.</li><li>Problem Solver: A self-starter mindset with the ability to translate business requirements into technical solutions.</li></ul><p>Why Join DiveDeepAI:</p><ul><li>Impact: Work with a fast-growing AI company shaping real-world products across the US and Europe.</li><li>Growth: A clear path to technical leadership or solution architecture.</li><li>Culture: A collaborative, onsite environment in Islamabad where innovation is encouraged.</li><li>Compensation: Competitive market salary.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs250,000.00 - Rs500,000.00 per month</p><p>Work Location: In person</p>

Senior Machine Learning Engineer

Sofnix(SMC-Private) Limited

<p><b>JOB SUMMARY</b></p><p>Associate Engineer Machine Learningwill help in discovering the information hidden in vast amounts of dataand help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Must be able to extract features, select features, code, train model, validate and evaluate the models.</p><p><b>MAIN TASKS AND RESPONSIBILITIES</b></p><p>&middot; Selecting features, building and optimizing classifiers using machine learning techniques</p><p>&middot; Data mining or extracting usable data from valuable data sources.</p><p>&middot; Carrying out preprocessing of structured and unstructured data</p><p>&middot; Enhancing data collection procedures to include all relevant information for developing analytic systems</p><p>&middot; Processing, cleansing, and validating the integrity of data to be used for analysis.</p><p>&middot; Analyzing large amounts of information to find patterns and solutions.</p><p>&middot; Developing prediction systems and machine learning algorithms</p><p>&middot; Propose solutions and strategies to tackle business challenges.</p><p>&middot; Data mining using state-of-the-art methods.</p><p>&middot; Doing ad-hoc analysis and presenting results in a clear manner</p><p>&middot; Creating automated anomaly detection systems and constant tracking of its performance</p><p><b>MINIMUM QUALIFICATIONS</b></p><p>&middot; 2+ years of Python development experience</p><p>&middot; 2+ years of SQL experience (No-SQL experience is a plus)</p><p>&middot; Proven Experience as Data Analyst or Data Scientist</p><p>&middot; Must have knowledge of NLP modelling techniques, with a firm grasp of the mechanics of modelling methods</p><p>&middot; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.</p><p>Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.</p><p>&middot; Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.</p><p>&middot; Data Wrangling &ndash; proficiency in handling imperfections in data</p><p>&middot; Excellent Communication Skills</p><p>&middot; Strong Software Engineering Background</p><p>&middot; Hands-on experience with data science tools</p><p>&middot; Problem-solving aptitude</p><p>&middot; Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.</p><p>&middot; Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc</p><p>&middot; Degree in Computer Science, Data Science or relevant field is preferred.</p><p>&middot; Excellent problem solving and troubleshooting skills</p><p>&middot; Excellent oral and written communication skills</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Associate Engineer Machine Learning

Explore 399+ Senior data scientist in Islamabad this January. Find roles across top companies and apply now to boost your career.

399 senior data scientist jobs IN Islamabad

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Staff/Senior Data Scientist - Python/R, SQL, EDA

Senior AI/ML Engineer

Senior Machine Learning Engineer

Associate Engineer Machine Learning