project manager

azure data engineer

ac technician

architect

assistant engineer

ai 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

Network Squad

About the RoleWe are looking for a skilled and forward-thinking AI Agent &amp; Automation Engineer to join our growing technology team. The ideal candidate will be responsible for designing, developing, and integrating AI-driven solutions that improve business efficiency, automate processes, and enhance system intelligence.This role requires hands-on experience with AI agents, workflow automation, API integrations, and system optimization.Key Responsibilities<ul><li>Design and deploy AI agents for business operations and customer interactions</li><li>Develop AI-driven automation workflows to streamline internal processes</li><li>Integrate AI solutions with existing systems (CRM, ERP, cloud platforms, APIs)</li><li>Build and maintain AI-powered chatbots and virtual assistants</li><li>Monitor, test, and optimize AI performance and reliability</li><li>Collaborate with IT, operations, and business teams to identify automation opportunities</li><li>Ensure security, compliance, and scalability of AI implementations</li></ul>Required Skills &amp; Experience<ul><li>Proven experience in AI development, automation, or system integration</li><li>Strong knowledge of Python or similar programming languages</li><li>Experience with AI APIs and large language models</li><li>Hands-on experience with automation tools and workflow platforms</li><li>Experience with REST APIs and third-party integrations</li><li>Understanding of cloud platforms (AWS, Azure, or GCP)</li><li>Strong problem-solving and analytical skills</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to start immediately? If not, what is your notice period?</li><li>Where are you located?</li><li>Do you have any disabilities or medical issues that we should be aware of?</li><li>What is your current salary package?</li><li>Describe your experience with Ai Agent</li></ul>Work Location: In person

AI Agent & Automation Engineer

PEARL

Industry: 
SaaS / AI / Voice Technology
 
Work Arrangement: 
Remote (EST)
 
Job Type: 
Full-time
 
Work Schedule: 
Standard business hours - US Eastern Time (EST)
 
Locations:: 
Anywhere Remote
 
About Pearl Talent: 
Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.
 Hear why we exist, what we believe in, and who we’re building for: WATCH HERE
 
Why Work with Us?: 
At Pearl, we’re not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers.
 
About the Company: 
Our client is building an AI-powered voice receptionist platform for real-world B2B operations. The product manages inbound calls, booking workflows, pricing rules, and payments for service-based businesses. Currently in pilot phase, the platform is preparing for broader rollout. The engineering team is intentionally small, senior-leaning, and values execution quality, ownership, and practical problem-solving over heavy process.
 
Role Overview: 
We are looking for a hands-on Full-Stack Engineer to translate loosely defined product requirements into production-ready features. You will work closely with the CTO and a small engineering team to improve platform reliability, execution velocity, and code quality. This role is ideal for candidates who thrive in ambiguous, fast-paced environments, enjoy ownership, and take pride in shipping features that customers actively use. The work is cross-functional, execution-heavy, and requires strong problem-solving and practical implementation skills.
 
Your Impact: 
<ul>
<li>Deliver high-quality features from concept to production with minimal oversight.</li>
<li>Contribute directly to platform stability, reducing issues in active customer pilots.</li>
<li>Improve overall code quality, maintainability, and execution efficiency.</li>
<li>Support real customer workflows by integrating AI and voice logic reliably.</li>
<li>Enhance operational processes and backend/frontend integration across the platform.</li>
</ul>
Core Responsibilities: 
Engineering Execution & Ownership – 40%
 <ul>
<li>Translate high-level product requirements into technical designs and actionable Jira tickets.</li>
<li>Own features end-to-end, delivering clean, maintainable production code.</li>
<li>Review pull requests and enforce high code quality standards.</li>
<li>Document technical decisions and communicate trade-offs clearly.</li>
</ul>
Backend-Focused Full-Stack Development – 30%
 <ul>
<li>Build and maintain backend services using Python and modern frameworks (FastAPI-style).</li>
<li>Design and evolve relational database schemas and migrations.</li>
<li>Contribute to internal frontend features using React / Next.js as needed.</li>
</ul>
AI & Voice Workflow Integration – 20%
 <ul>
<li>Implement real customer workflows using AI and voice tools.</li>
<li>Connect LLM behavior, prompts, and tool logic to application code.</li>
<li>Focus on reliability, correctness, and production-ready implementation rather than experimental research.</li>
</ul>
Infrastructure & Integrations – 5%
 <ul>
<li>Support application deployment and operational reliability.</li>
<li>Contribute incremental improvements to existing infrastructure (e.g., Vercel).</li>
<li>Integrate and maintain third-party services such as voice providers and payment systems.</li>
</ul>
Pilot Support & Stabilization – 5%
 <ul>
<li>Triage issues from active customer pilots.</li>
<li>Identify whether issues stem from product gaps or engineering defects.</li>
<li>Stabilize pilot workflows while the core platform continues evolving.</li>
</ul>
Requirements: 
Must-Haves (Required): 
<ul>
<li>3+ years of professional software engineering experience.</li>
<li>Proven ability to own ambiguous problems and deliver production-ready solutions.</li>
<li>Experience shipping and maintaining live production systems.</li>
<li>Strong proficiency in Python and modern backend frameworks (e.g., FastAPI).</li>
<li>Experience with relational databases and schema evolution.</li>
<li>Knowledge of modern frontend frameworks (React or similar).</li>
<li>Excellent written communication and ability to document decisions clearly.</li>
<li>High learning agility with an execution-oriented mindset.</li>
</ul>
Nice-to-Haves (Preferred): 
<ul>
<li>Experience supporting early-stage products or live customer pilots.</li>
<li>Familiarity with cloud infrastructure (AWS or similar).</li>
<li>Exposure to LLM-powered features, AI agents, or voice-based applications.</li>
<li>Experience integrating with third-party or enterprise systems.</li>
</ul>
Tools Proficiency: 
Must-Haves (Required): 
<ul>
<li>Python, FastAPI, React, Next.js, Jira</li>
</ul>
Nice-to-Haves (Preferred): 
<ul>
<li>AWS, Vercel, AI/voice tooling, relational databases, Git</li>
</ul>
Benefits: 
<ul>
<li>Competitive Salary: Based on experience and skills</li>
<li>Remote Work: Fully remote—work from anywhere</li>
<li>Performance Bonus: Based on data accuracy, reporting timeliness, and overall sales efficiency</li>
<li>Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting</li>
<li>Generous PTO: In accordance with company policy</li>
<li>Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees</li>
<li>Direct Mentorship: Guidance from international industry experts</li>
<li>Learning & Development: Ongoing access to resources for professional growth</li>
<li>Global Networking: Connect with professionals worldwide</li>
</ul>
Our Recruitment Process: 
<ul>
<li>Application</li>
<li>Screening</li>
<li>Skills Assessment</li>
<li>Top-grading Interview</li>
<li>Client Interview</li>
<li>Job Offer</li>
<li>Client Onboarding</li>
</ul>
Ready to Join Us?: 
If this role aligns with your skills and goals, apply now to take the next step in your journey with Pearl.

Full-Stack Engineer - A285

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

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 By applying here you will be considered for multiple similar positions within Careem across several teams and if you are successful we will match you to the best fit role based on your career and personal preferences.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Work closely with other engineers on the team to build highly scalable and robust backend applications and services.
 </li>
 <li>
 Write high quality, performant and reliable code while working on defined tasks/bugs independently.
 </li>
 <li>
 Work independently to understand functional specifications and deliver complete features.
 </li>
 <li>
 Participate in the on-call rotation and be willing to jump in and help resolve any incidents within the defined SLA.
 </li>
 <li>
 Participate in team agile and engineering practices and contribute to their continuous evolution.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 4+ years of professional software development experience.
 </li>
 <li>
 Bachelor's Degree in Computer Science or other related technical field.
 </li>
 <li>
 Working experience with at least one modern object-oriented programming language such as Java, C#, C++, Golang, Kotlin.
 </li>
 <li>
 Working knowledge of Computer Science fundamentals including: object-oriented design, data structures and algorithms.
 </li>
 <li>
 Experience operating online systems reliably including deploying changes to production in live systems.
 
 
 </li>
 </ul>
 
 Preferred Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or other related technical field.
 </li>
 <li>
 Experience with Java Spring, Golang and Cloud platforms such as Azure, Google Cloud Platform and AWS.
 </li>
 <li>
 Experience working with container technology including Docker and Kubernetes.
 </li>
 <li>
 Experience working with relational and non-relational database systems.
 </li>
 <li>
 Experience applying professional software engineering best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.
 </li>
 </ul>
</div>

Senior Software Engineer I - Backend

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

Maverick Enterprises

. Executive SummaryViral Vind Technologies is seeking an elite Senior Blockchain Protocol Engineer to lead the development of Phantom Proto. This is a high-stakes, onsite role in Karachi for an engineer who excels in low-level systems programming and cryptographic implementation. You will be responsible for building the privacy-preserving infrastructure that allows our autonomous AI systems to operate with absolute data integrity.2. Core Responsibilities<ul><li>Protocol Engineering: Architect and optimize a high-performance blockchain protocol from the ground up using Rust.</li><li>Cryptographic Implementation: Integrate Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKP) into the core execution layer to ensure &quot;Stealth-by-Default&quot; transactions.</li><li>Security &amp; Auditing: Write adversarial-grade code. You are responsible for the protocol's resistance against Sybil attacks, front-running, and cryptographic exploits.</li><li>Infrastructure Design: Manage the consensus mechanism and data availability layers, ensuring sub-second finality and high throughput.</li><li>Onsite Collaboration: Work directly with the CEO and AI engineering teams to bridge the gap between autonomous agentic workflows and on-chain execution.</li></ul>3. Required Technical Qualifications<ul><li>Rust Mastery: Minimum 3+ years of professional experience in Rust (or 5+ years in C++) with a focus on memory safety, concurrency, and performance tuning.</li><li>Cryptography: Deep understanding of cryptographic primitives, including Elliptic Curve Cryptography (ECC), AES, and SHA-3.</li><li>Advanced Tech: Proven ability to implement or optimize ZKP (zk-SNARKs/STARKs) or Multi-Party Computation (MPC).</li><li>Systems Design: Experience with distributed systems, p2p networking (libp2p), and consensus algorithms (BFT/PoS).</li><li>Environment: Comfortable working in a Linux-heavy, high-security onsite &quot;War Room&quot; environment.</li></ul>4. Professional Attributes<ul><li>Zero-Guidance Operator: You don't need a manager to tell you how to solve a bottleneck. You find the solution and implement it.</li><li>High-Pressure Reliability: Ability to maintain code quality and mental clarity during critical deployment phases.</li><li>Intellectual Dominance: A track record of solving complex mathematical or engineering problems that others deemed &quot;too difficult.&quot;</li></ul>5. Compensation &amp; Benefits<ul><li>Salary: Market-leading PKR salary (benchmarked against global remote standards).</li><li>Equity: Founding-member token allocation in the Phantom Proto ecosystem.</li><li>Growth: Work on the most advanced FHE project in the region.</li></ul>Job Type: Full-timeWork Location: In person

Lead Blockchain Developer Role

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