ai data scientist

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>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 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>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 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>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 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

CodeNinja

About the Company: 
CodeNinja is a global AI and software engineering firm that helps organizations build, scale, and operate intelligent digital solutions. With a strong focus on AI, data platforms, and cloud-native systems, CodeNinja partners with enterprises to deliver high-impact technology outcomes across industries. The company operates across multiple regions, working with global clients to solve complex business problems through innovation and engineering excellence.
 
Role Overview: 
CodeNinja is seeking a Business Analyst to support presales and engineering teams through effective requirements discovery, analysis, and documentation. The role focuses on translating prospective client needs into clear functional and technical requirements that enable proposal development, solution design, and delivery — including AI and data-driven solutions.
 
Key Responsibilities: 
Presales & Requirements Discovery: 
<ul>
<li>Lead requirements discovery sessions with prospective clients.</li>
<li>Conduct workshops and interviews to identify business goals, functional and non-functional requirements, data and AI needs, assumptions, risks, and dependencies.</li>
<li>Document requirements clearly to support solutioning, estimation, and AI feasibility.</li>
</ul>
Documentation & Engineering Enablement: 
<ul>
<li>Convert requirements into functional specifications, user stories, acceptance criteria, and high-level process/data flows.</li>
<li>Maintain engineering-ready documentation and clarify requirements with engineering and AI teams.</li>
</ul>
Presales & Proposal Support: 
<ul>
<li>Support proposal development, RFP/RFI responses, scope definition, and assumptions.</li>
<li>Ensure proposals are based on validated requirements, including AI scope and data dependencies.</li>
</ul>
POC / Prototype Support: 
<ul>
<li>Support AI and digital POCs by defining scope, success criteria, and validating AI use cases (e.g., RAG feasibility, agent behavior).</li>
<li>Prepare client-facing POC documentation.</li>
</ul>
Jira & Backlog Management: 
<ul>
<li>Create and maintain Jira epics, user stories, and tasks.</li>
<li>Ensure end-to-end traceability from discovery to development.</li>
</ul>
Cross-Functional Collaboration: 
<ul>
<li>Act as a liaison between presales, engineering, AI/data teams, and clients.</li>
<li>Ensure smooth handover from presales to delivery.</li>
</ul>
Requirements: 
Required Skills & Experience: 
<ul>
<li>5+ years of experience in business analysis, preferably in presales or consulting.</li>
<li>Strong expertise in requirements elicitation, analysis, and documentation.</li>
<li>Experience supporting presales activities, proposals, or RFPs.</li>
<li>Understanding of SDLC, APIs, system integrations, databases, and cloud platforms (AWS/Azure/GCP).</li>
<li>Foundational understanding of AI solutions, including ML concepts, Agentic AI, and RAG patterns.</li>
<li>Hands-on experience with Jira and structured documentation (BRDs, FRDs, user stories).</li>
<li>Strong communication and stakeholder management skills.</li>
</ul>
Why Join CodeNinja: 
<ul>
<li>Be a key contributor to AI-driven and digital presales engagements.</li>
<li>Collaborate with solution architects, AI engineers, data teams, and sales leaders.</li>
<li>Gain exposure to modern AI platforms, data systems, and cloud technologies.</li>
<li>Clear growth opportunities into Senior Business Analyst roles.</li>
</ul>
Disclaimer
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Business Analyst - Pre Sales

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

YrFW1AObcG</div>

Sr. AWS AI Engineer

Skylinx Technologies

We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.Key Responsibilities<ul><li>Work with existing machine learning models and large language models (LLMs).</li><li>Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.</li><li>Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).</li><li>Build data pipelines by connecting AI models with relational and NoSQL databases.</li><li>Design and implement competitive alerts, insights, and notifications from structured and unstructured data.</li><li>Develop APIs and basic interfaces to expose AI capabilities within the platform.</li><li>Optimize inference performance, cost, and scalability.</li><li>Ensure data security and privacy in AI workflows.</li><li>Collaborate closely with in-house backend, frontend, and product teams.</li></ul>Required Skills &amp; Qualifications<ul><li>2+ years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with machine learning models, LLMs, or inference pipelines.</li><li>Experience deploying models on private cloud, VPS, or on-prem infrastructure.</li><li>Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).</li><li>Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Ability to build and consume REST APIs.</li><li>Basic experience with interfaces or dashboards for AI-powered features.</li><li>Strong problem-solving skills and ability to work in an on-site team environment.</li></ul>Nice to Have<ul><li>Experience with RAG (Retrieval-Augmented Generation) systems.</li><li>Knowledge of alerting systems, recommendation engines, or analytics dashboards.</li><li>Familiarity with Docker, Kubernetes, or MLOps workflows.</li><li>Experience in SaaS or data-driven platforms.</li><li>Frontend exposure (React, Vue, or similar).</li></ul>What We Offer<ul><li>On-site role in Lahore with a collaborative engineering team.</li><li>Opportunity to build production-grade AI systems.</li><li>Competitive salary</li><li>Long-term growth and learning opportunities.</li><li>Direct impact on core product features.</li></ul>How to ApplyPlease share:<ul><li>Your updated resume</li><li>GitHub or project links (if available)</li><li>Short summary of AI or ML projects you&rsquo;ve worked on</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsWork Location: In person

AI Engineer (In-House)

Devsinc

<div>
 Application &amp; Model Development:
 
 
 Design, develop, and deploy Python-based applications and AI/ML models.
 
 
 Data Handling:
 
 
 Collect, clean, and preprocess structured and unstructured data for model training.
 
 
 Model Training &amp; Evaluation:
 
 
 Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics.
 
 
 API Integration:
 
 
 Create and integrate APIs for serving ML models into applications or web services.
 
 
 Research &amp; Innovation:
 
 
 Stay updated with AI/ML trends, frameworks (TensorFlow, PyTorch, Scikit-learn), and improve model efficiency.
 
 
 Automation &amp; Scripting:
 
 
 Develop automation scripts and data pipelines to support AI workflows.
 
 
 Collaboration:
 
 
 Work with data engineers, developers, and product teams for end-to-end solution delivery.
 
 
 Version Control &amp; Documentation:
 
 
 Maintain clean code, version control (Git), and project documentation.
 
 
 Testing &amp; Deployment:
 
 
 Test models, deploy to production, and monitor performance using cloud or on-prem setups.
 
 
 Continuous Learning:
 
 
 Explore emerging AI/ML technologies and contribute to innovation projects.
 
 
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
 
 
 Develop Python-based AI/ML apps &amp; models
 
 
 Preprocess &amp; analyze data
 
 
 Train, test, and evaluate models
 
 
 Build &amp; integrate APIs for ML services
 
 
 Use TensorFlow, PyTorch, Scikit-learn
 
 
 Create automation scripts &amp; data pipelines
 
 
 Collaborate across teams for deployment
 
 
 Maintain code, versioning, and documentation
 
 
 Deploy &amp; monitor ML solutions
 
 
 Keep learning new AI/ML tools &amp; methods
</div>

Associate Software Engineer -Python/AI/ML

SME Careers

<div>
 As an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality.
 
 This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs. Your work will directly help improve the world&rsquo;s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 
 </li>
 </ul>
 
 Your Profile
 
 
 <ul>
 <li>
 1&ndash;2+ years of professional Rust development experience in backend, CLI, or systems-focused projects.
 </li>
 <li>
 Strong understanding of Rust&rsquo;s ownership, borrowing, and lifetime model, with the ability to reason clearly about aliasing and data races.
 </li>
 <li>
 Solid software engineering experience in at least one of backend services, command-line tools, or systems programming using Rust.
 </li>
 <li>
 Ability to evaluate safe, idiomatic Rust code, including appropriate use of traits, generics, pattern matching, and error handling.
 </li>
 <li>
 Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.
 </li>
 <li>
 Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Computer Science or a closely related technical field.
 </li>
 <li>
 Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.
 </li>
 <li>
 Highly preferred: experience with Tokio, Actix, Serde, and async Rust patterns in production or advanced side projects.
 </li>
 <li>
 Preferred: competitive programming experience, contributions to Rust open-source ecosystems, and demonstrated ability to reason about performance, concurrency, and correctness in Rust code.
 </li>
 </ul>
</div>

Rust Engineer

Workforce Commerce

About the Role:Workforce Commerce seeking a AI Developer with 1+ year of hands-on experience in AI/ML development. The ideal candidate will be enthusiastic about learning, capable of working collaboratively in a team, and excited to contribute to cutting-edge AI projects.Job Responsibilities:<ul><li>Assist in designing and implementing AI models and algorithms for various applications (e.g., NLP, computer vision, recommendation systems)</li><li>Collaborate with backend and data engineering team to deploy and integrate AI models into live applications.</li><li>Monitor model performance and improve as needed.</li><li>Write clean, efficient, and well-documented code.</li><li>Stay updated with the latest AI research and trends.</li></ul>Required Skills and Qualification:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li><li>1+ year of experience in AI/ML development or related projects.</li><li>Proficiency in Python and libraries such as Tensor Flow etc.</li><li>Familiarity with data preprocessing, feature engineering, and model evaluation techniques.</li><li>Basic understanding of deep learning, natural language processing, or computer vision.</li><li>Strong problem-solving skills and eagerness to learn.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have any experience in Model Training?</li><li>Do you have experience in (Flask/Django) frameworks?</li></ul>Work Location: In person

AI Developer

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