data analyst

azure data engineer

assistant engineer

data engineer

head of engineering

machine learning engineer

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

Fiblix

Position Type: Full-Time, Remote Location: Remote (Worldwide) Reports to: Technical Director / CTOAbout the RoleWe are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.Key ResponsibilitiesAI/ML Development<ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul>LLM &amp; NLP Integration<ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul>Data Science &amp; Analytics<ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul>MLOps &amp; Production Systems<ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul>AI Integrations<ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul>Required QualificationsExperience<ul><li>Minimum 5-8 years in AI/ML and Data Science</li><li>Minimum 5 years deploying production ML systems at scale</li><li>Minimum 3 years with deep learning frameworks</li><li>Minimum 2 years with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul>Education<ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul>Technical SkillsProgramming:<ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul>ML Frameworks:<ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul>NLP &amp; LLMs:<ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul>MLOps:<ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul>Cloud Platforms (at least two):<ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul>Data Engineering:<ul><li>Apache Spark, data warehousing, stream processing</li></ul>Soft Skills<ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul>Preferred Qualifications<ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul>Job Type: Full-timePay: From Rs200,000.00 per month

Senior AI/ML Engineer & Data Scientist

i3Pathfinder Solutions (Pvt) Ltd

i3pathfinder soloutions (Pvt) Ltd is looking for Data Scientist for one of its client in karachi.1. Technical Skills<ul><li>Data mining or extracting usable data from valuable data sourcesCollaborate with Business and IT teams</li><li>Using machine learning tools to select features, create and optimize classifiers</li><li>Carrying out the preprocessing of structured and unstructured data</li><li>Enhancing data collection procedures to include all relevant information for developing analytic systems</li><li>Processing, cleansing, and validating the integrity of data to be used for analysis</li><li>Analyzing large amounts of information to find patterns and solutions</li><li>Developing prediction systems and machine learning algorithms</li><li>Presenting results in a clear manner</li><li>Propose solutions and strategies to tackle business challenges</li></ul><ul><li>Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.</li><li>Machine Learning &ndash; good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.</li><li>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.</li><li>Data Wrangling &ndash; proficiency in handling imperfections in data is an important aspect of a data scientist job description.</li></ul>Job Type: Contract Contract length: 12 monthsPay: Rs45,000.00 - Rs55,000.00 per monthWork Location: In person

Data Scientist

HR Ways

Role Overview &ndash; AI Engineer | Automations &amp; APIsAbout the Role: We are seeking an AI Engineer with a passion for automations and APIs to join our growing team. You will work on designing, building, and optimizing automation solutions and API integrations that drive efficiency and innovation. This is an excellent opportunity for someone with foundational project experience who is eager to deepen their expertise in AI-driven automation and API architecture.Key Responsibilities:<ul><li>Design and develop automation solutions using AI/ML technologies.</li><li>Build and maintain robust APIs for internal and external integrations.</li><li>Collaborate with cross-functional teams to understand automation requirements.</li><li>Optimize existing automation workflows for performance and scalability.</li><li>Document code, APIs, and automation processes for team knowledge sharing.</li><li>Participate in code reviews and contribute to continuous improvement initiatives.</li><li>Troubleshoot and resolve issues in production automation systems.</li><li>Stay updated with emerging AI and automation technologies.</li></ul>Required Qualifications:<ul><li>Proven experience with at least 1-2 completed projects involving automations or APIs.</li><li>Strong programming skills in Python, JavaScript, or similar languages.</li><li>Solid understanding of REST APIs and API design principles.</li><li>Familiarity with automation frameworks and tools (e.g., Zapier, Make, n8n, or similar).</li><li>Basic knowledge of AI/ML concepts and their practical applications.</li><li>Experience with version control systems (Git).</li><li>Strong problem-solving skills and attention to detail.</li><li>Ability to work independently and as part of a team.</li></ul>What We're Looking ForAbove all, we value candidates who are eager to learn and grow. You should demonstrate:<ul><li>A genuine curiosity about AI and automation technologies.</li><li>Willingness to take on challenging projects and expand your skill set.</li><li>Strong communication skills and the ability to ask for help when needed.</li><li>Proactive approach to professional development.</li><li>Collaborative mindset and openness to feedback.</li></ul>Other Details: ﻿Experience: ﻿1-2 years ﻿﻿Location: ﻿Karachi (on-site) ﻿﻿Benefit: ﻿Female-friendly staffJob Type: Full-timeWork Location: In person

AI Engineer

One Click Solution

OneClick is looking for a driven and analytical Applied Data Scientist with a strong focus on predictive modeling, forecasting, and applied machine learning. Location: Main Shahra-e-Faisal, Karachi Shift Timing: Morning (10:00 am &ndash; 6:00 pm), Monday to SaturdayKey Responsibilities:<ul><li>Analyze large, complex datasets using Python to uncover trends, patterns, and actionable insights.</li><li>Build, validate, and deploy predictive models and forecasting solutions to support data-driven decision-making.</li><li>Apply machine learning techniques (regression, classification, time-series forecasting, etc.) to solve business problems.</li><li>Automate data analysis workflows and modeling pipelines to improve efficiency and scalability.</li><li>Develop Power BI dashboards to communicate model-driven insights and forecasts to stakeholders.</li><li>Ensure data accuracy, integrity, and consistency across all analyses and reporting outputs.</li><li>Collaborate with cross-functional teams to translate business requirements into analytical solutions.</li></ul>Qualification and Requirements:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.</li><li>1&ndash;2 years of proven experience as a Data Scientist, Machine Learning Analyst, or similar role.</li><li>Strong proficiency in Python for data analysis, predictive modeling, and machine learning.</li><li>Hands-on experience with forecasting and predictive analytics techniques.</li><li>Experience using Power BI to visualize and present insights derived from analytical models.</li><li>Familiarity with automating data pipelines and analytical workflows is a plus.</li><li>Strong problem-solving skills with the ability to communicate complex insights clearly.</li></ul>Job Type: Full-timeWork Location: In person

Applied Data Scientist

ibex

<div>
 'We are looking for a skilled Python Developer with experience in AI/LLMs, Retrieval-Augmented Generation (RAG), and backend systems to join our team. The ideal candidate will have strong programming skills, a solid understanding of modern AI workflows, and the ability to design, implement, and optimize scalable solutions that integrate Large Language Models with knowledge retrieval systems.
 
 
 
 Responsibilities
 
 
 
 Responsibilities will include:
 
 
 RAG &amp; AI Implementation
 
 
 Implement and maintain RAG pipelines using custom or established frameworks such as LangChain
 
 
 Work with LLM APIs (e.g., Azure OpenAI, Google Gemini) to build AI-driven applications.
 
 
 Set up and manage vector databases (Azure AI Search, Google Vector Search, PGVector, Pinecone or Milvus) for document storage and retrieval.
 
 
 Develop utilities for document preprocessing, parsing, chunking, and embeddings generation.
 
 
 Backend Development
 
 
 Build REST APIs to expose RAG/LLM workflows to applications and products.
 
 
 Write clean, maintainable Python code using frameworks like FastAPI or Flask.
 
 
 Ensure scalability and reliability of backend services in production.
 
 
 Data &amp; Pipelines
 
 
 Build scripts for ETL and data ingestion pipelines to feed knowledge bases.
 
 
 Work with structured and unstructured data (text, PDFs, web content, databases).
 
 
 Monitor and optimize retrieval quality through embedding updates and reranking methods.
 
 
 
 Qualifications
 
 
 
 BSCS
 
 
 2-4 years of Experience
</div>

Software Engineer, Tech

Hussain International Services

Hussain International Services.Pvt.Ltd is looking for a &quot;Plant Engineer&quot;Job Responsibilities:*Perform testing procedures to ensure that machines work optimally during production procedures.*Maintain and Clean the machine before and after each shift.*Troubleshoot problems during machine operation. Product changeover(Flushing) *Pack size changeover*Ensure that machines are producing quality products by managing periodic checks on output*Ensure stocks of needed materials are ready and available at all times.*Maintain Overall Equipment Effectiveness(OEE) data by downtime tracking sheets. *Ensure HSSE compliance in respective areas.*Follow standardize Operation Procedures(SOP).Job Requirements: *Internship Experience or Fresh B.E(Electronics/Electrical/Mechanical).*Experienced will be preferred. *Good Interpersonal skills *Team Player, Proactive *Competency in Microsoft Applications including Word, Excel, and Outlook.Job Type: Full-timePay: From Rs60,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Plant Engineer

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