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ml engineer

Value Engineering

Location: Bahria Phase 4, Rawalpindi (Onsite) Experience Required: Minimum 5+ Years Job Type: Full-Time Shift: Night ShiftPosition Overview:We are looking for an experienced and innovative AI/ML Engineer to join our dynamic team at The Value Engineering. The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence, with proven experience in building, deploying, and optimizing AI models that solve complex, real-world problems.This role offers an opportunity to lead impactful projects, collaborate with cross-functional teams, and push the boundaries of what&rsquo;s possible with data-driven intelligence.Key Responsibilities:<ul><li>Design, develop, and deploy advanced AI/ML models and predictive systems.</li><li>Build and maintain data pipelines, from data collection to preprocessing and model deployment.</li><li>Apply statistical analysis, optimization, and machine learning algorithms to large-scale datasets.</li><li>Collaborate with data scientists, software engineers, and business teams to deliver production-grade solutions.</li><li>Monitor and fine-tune model performance for scalability and accuracy.</li><li>Research and implement cutting-edge ML algorithms and frameworks.</li><li>Develop tools and processes for automated model training, evaluation, and deployment (MLOps).</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>5+ years of hands-on experience in AI/ML model development and deployment.</li><li>Strong command of Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, and Pandas.</li><li>Proven experience with data preprocessing, model optimization, and feature engineering.</li><li>Experience in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).</li><li>Familiarity with API integration and model serving using Flask/FastAPI.</li><li>Deep understanding of algorithms, statistics, and mathematical modeling.</li><li>Strong problem-solving, analytical thinking, and teamwork skills.</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable working in Night Shift?</li><li>Are you comfortable commuting to bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

Senior AI/ML Engineer

Rapid Labs

About us:Rapid Labs is a dynamic leader in the AI revolution, dedicated to crafting groundbreaking solutions that redefine industries such as Retail, Healthcare, Legal, and Finance. With expertise in technologies like Computer Vision, Natural Language Processing, and AI-powered Chatbots, we aim to elevate user experiences and streamline business operations. Join us on our mission to leverage artificial intelligence for impactful change and a better tomorrow!Job Overview:We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and systems that will enhance our product offerings. This role requires a deep understanding of machine learning algorithms, data processing techniques, and software development.Key Responsibilities:<ul><li>Lead the design and implementation of machine learning models and algorithms.</li><li>Collaborate with data scientists, engineers, and product managers to integrate models into production systems.</li><li>Optimize and scale machine learning models for performance and reliability.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Stay up-to-date with the latest research and advancements in machine learning and AI.</li><li>Mentor junior engineers and contribute to the overall growth of the ML team.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>Minimum of 03 years of experience in machine learning, data science, or a related field.</li><li>Proficiency in programming languages such as Python</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Solid understanding of data structures, algorithms, and software engineering principles.</li><li>Expertise in model deployment and monitoring.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently with minimal supervision.</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: Blue Area IslamabadOffice Hours: 05:00 PM to 02:00 AM (Monday to Friday) Note: Please answer all the pre-screening questions; otherwise, your job application will be automatically rejected. Thank you!Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many days do you have to serve as notice period with your current employer?</li><li>Can you design a machine learning model that avoids overfitting without reducing accuracy?</li><li>Have you ever optimized a model&rsquo;s inference time by more than 30% through code or architecture changes? </li><li>Can you implement feature selection techniques using statistical or algorithmic methods (e.g., Chi-square, LASSO)? </li><li>Do you understand how to deploy ML models using Docker or cloud-based services? </li><li>Can you explain or calculate the time complexity of a custom algorithm you&rsquo;ve written? </li><li>Have you monitored model drift or used automated retraining pipelines in production? </li><li>How many end-to-end ML projects have you completed that included data preprocessing, model training, and deployment?</li><li>Can you debug and fix performance issues in large datasets exceeding 10 million rows? </li><li>9.	Have you ever implemented or fine-tuned a deep learning model using frameworks like TensorFlow or PyTorch? </li><li>Can you independently evaluate model performance metrics (e.g., precision, recall, F1-score, ROC-AUC) and interpret them accurately? </li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML: 3 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer - Onsite - Islamabad

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
2OWWNNGtq6</div>

Lead GenAI Engineer (Application Development)

eMumba

<div><div><div><div><div><div><div><div><div>We&rsquo;re looking for a hands-on Principal Engineer (AI Systems) who loves to build, not just design. 
You&rsquo;ll spend your time writing code, experimenting with LLMs, and turning ideas into production-grade Generative AI systems. You&rsquo;ll work directly on Retrieval-Augmented Generation (RAG), LLMOps, and multi-agent orchestration frameworks, solving real technical problems every day.</div><div>
This is a purely technical IC role, not a managerial one. You&rsquo;ll lead by example, mentor through code reviews, and own end-to-end technical delivery.</div></div></div>
</div><h2 class="jobSectionHeader">Key Responsibilities
</h2><div><div><div><ul><li>Design and code RAG systems with embeddings, hybrid search, and evaluation pipelines.</li>
<li>Develop hands-on multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or custom).</li>
<li>Implement and maintain LLMOps pipelines for prompt versioning, cost tracking, and evaluation.</li>
<li>Integrate AI workflows with backend services and data layers for real-world scalability.</li>
<li>Experiment with LLMs for retrieval, summarization, and personalization use cases.</li>
<li>Contribute directly to code, architecture reviews, and performance improvements.</li>
</ul><div>Collaborate with data and platform engineers to deploy and optimize GenAI solutions.</div></div></div>
</div><h2 class="jobSectionHeader">Skills, Knowledge and Expertise
</h2><div><div><div>Must-Have Skills
<ul><li>5+ years of backend or ML engineering experience, with strong Python coding skills.</li>
<li>Proven experience shipping RAG systems (vector DBs, embeddings, chunking).</li>
<li>Familiarity with orchestration frameworks (LangGraph, LangChain, AutoGen, or similar).</li>
<li>Understanding of LLM behavior, evaluation, and fine-tuning workflows.</li>
<li>Experience with APIs, microservices, and cloud-native development (AWS preferred).</li>
</ul>Nice-to-Have
<ul><li>Experience with unstructured data (PDFs, tables, images).</li>
<li>Familiarity with distributed systems concepts (async, message queues, caching).</li>
<li>Experience with LLM evaluation or reinforcement learning from feedback (RLAIF).</li>
<li>Understanding of data versioning or retrieval metrics.</li>
</ul>Soft Skills
<ul><li>Builder mindset &mdash; thrives on writing, debugging, and improving production code.</li>
<li>Collaborative, humble, and open to feedback.</li>
<li>Strong communicator who explains design decisions clearly.</li>
</ul><div>Influences through contribution, not hierarchy.</div></div></div>
</div><h2 class="jobSectionHeader">About Emumba
</h2><div><div>We specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.</div></div><div> 
</div></div></div></div></div><div><div><div><div><div><div><div>
</div></div><div><div>Department
Backend
Employment Type
Full Time
Location
Islamabad, Pak
Workplace type
Fully remote</div></div></div></div></div></div></div></div>

Principal Engineer (AI Systems)

NextGen Talent Brokers

About BitsolBitsol is a product-led, AI-accelerated software studio focused on healthcare. We partner with healthcare founders and organizations in the US to design and deliver HIPAA-compliant applications through rapid, 8-week prototyping and delivery cycles. Combining deep domain experience in clinical workflows, interoperability, and compliance with modern low-code and AI-enabled development practices, we turn validated customer problems into production-ready solutions quickly and securely. Join a mission-driven, cross-functional team that prioritizes real-world impact for patients and providers.About the RoleAs an Applied AI Engineer you will design, build, evaluate, and operate agentic AI systems and retrieval&#8209;augmented pipelines for HIPAA&#8209;sensitive healthcare products. You will own production integration of LLMs and multimodal models, the orchestration of multi&#8209;agent workflows, and the observability, safety and privacy guarantees required for clinical and regulated environments. You will work cross&#8209;functionally with Product, Engineering, DevOps and Compliance to ship reliable, auditable AI features.Key Responsibilities<ul><li>Design and implement agentic systems: multi&#8209;step agents, tool/connector interfaces, action selection policies, orchestrators and workflow engines.</li><li>Build and maintain RAG pipelines: document ingestion, chunking strategies, embeddings, vector indexes (FAISS/Pinecone/Weaviate), semantic search and recall tuning.</li><li>Integrate LLMs and multimodal models (OpenAI/Anthropic/local models/LLM-as-a-service) with robust prompt templates, function&#8209;calling/tool interfaces and orchestration frameworks.</li><li>Implement safety, alignment and privacy controls: PII/PHI scrubbing, role/row access patterns, policy enforcement, content moderation and red&#8209;teaming.</li><li>Produce reproducible evaluation and observability: automated test suites, evaluation metrics (faithfulness, precision, ROUGE/EM where applicable), logging, drift detection and dashboards.</li><li>Harden production services: API design, auth, batching, caching, rate limiting, containerization (Docker), CI/CD, SLOs, scaling and secure hosting patterns suitable for HIPAA workloads.</li><li>Build connectors and integrations (EHR APIs, FHIR/HL7, internal knowledge bases), define access &amp; consent flows, and ensure audit trails for PHI access.</li><li>Define and maintain prompt/agent libraries, tooling contracts (input/output schemas), and documentation for reproducibility and handoff.</li><li>Collaborate with Product and Compliance to translate product requirements into agent behaviors and acceptance criteria; participate in incident response and post&#8209;mortems.</li></ul>Key Qualifications<ul><li>4+ years in applied ML/AI engineering or software engineering with significant AI responsibilities; proven production experience.</li><li>Demonstrable experience building agentic systems (tool&#8209;using agents, multi&#8209;step orchestrations, or similar), not limited to single&#8209;shot prompting.</li><li>Strong, hands&#8209;on experience with retrieval&#8209;augmented systems: embeddings, vector DBs (FAISS/Pinecone/Weaviate), chunking/indexing strategies and retrieval tuning.</li><li>Proven integration experience with LLMs and model APIs, including prompt engineering, function calling, and orchestration (e.g., LangChain, LangGraph, CrewAI or equivalent).</li><li>Production engineering skills: Python, async services, API design, Docker, CI/CD pipelines, and familiarity with deployment patterns for low&#8209;latency/high&#8209;availability services.</li><li>Practical knowledge of evaluation &amp; observability for LLM systems: logging request/response, evaluation pipelines, metrics, and drift detection.</li><li>Strong understanding of data privacy, security and PHI/PII handling; experience designing for auditability and HIPAA compliance requirements.</li><li>Experience debugging model/system failures and performing root&#8209;cause analysis for hallucinations, retrieval failures, and agent misbehavior.</li><li>Solid software engineering fundamentals: testing, reproducibility, documentation and collaboration in cross&#8209;functional teams.</li><li>Clear communicator with product sensibility and ability to translate product needs into technical designs.</li></ul>Preferred / Ideal Candidate<ul><li>Experience with healthcare data, EHR integrations and interoperability standards (FHIR, HL7).</li><li>Hands&#8209;on experience deploying or fine&#8209;tuning LLMs (LoRA, SFT, full model deployments) and working with on&#8209;prem/local model deployments.</li><li>Familiarity with MLOps and feature/serving platforms (MLflow, BentoML, Tecton, Feast, feature stores).</li><li>Experience with agent orchestration/workflow tools (Temporal, Airflow, CrewAI, LangGraph) and multi&#8209;agent coordination patterns.</li><li>Prior work on model safety, alignment tooling, content moderation pipelines and red&#8209;teaming exercises.</li><li>Experience with knowledge graphs, schema/ontology design, or hybrid retrieval (BM25 + embeddings + re&#8209;ranking).</li><li>Background in building evaluation frameworks and operationalizing model QA in regulated environments.</li><li>Mentorship experience and a desire to build reusable prompt/agent libraries and team best practices.</li></ul>Perks and Benefits:<ul><li>Biannual salary increment</li><li>Health and fitness allowance</li><li>Company-sponsored sports and adventure activities</li><li>Bonuses</li><li>Fuel Allowance</li><li>Awesome learning environment</li><li>Growth opportunities</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li> applied ML/AI engineering : 4 years (Required)</li></ul>Work Location: In person

Applied AI Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; AI Engineer (Islamabad Candidates Only)</h1>
Job Title: AI Engineer 
Job Grade: Manager 
Division: Information Technology 
Department: IT Development 
Location: Islamabad (On-site) 
Line Manager: Senior Software Engineer / AI Engineering Lead 
 
Note : Please read the JD carefully before Applying<h2 class="jobSectionHeader"> 
Position Summary</h2>
The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.<h2 class="jobSectionHeader"> 
Duties and Responsibilities</h2><ul><li>
Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.</li><li>
Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.</li><li>
Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).</li><li>
Build APIs and microservices for AI features using Flask/FastAPI or Node.js.</li><li>
Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.</li><li>
Conduct A/B tests, performance optimization, and real-world validation of AI models.</li><li>
Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.</li><li>
Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.</li><li>
Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.</li><li>
Demonstrate Behaviors&mdash;Be Respectful, Keep Promises, Always Explore, Create Together&mdash;across all work activities.</li></ul><h2 class="jobSectionHeader"> 
Knowledge and Experience</h2><h3 class="jobSectionHeader">
Education:</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
Minimum 4+ years in software development with hands-on exposure to AI/ML projects.</li><li>
Proven experience with Android/iOS development, Python, and modern web technologies</li></ul><h2 class="jobSectionHeader"> 
Behavioral Skills:</h2><ul><li>
Effective Communication</li><li>
Teamwork &amp; Collaboration</li><li>
Decision Making</li><li>
Accountability</li><li>
Learning Agility</li><li>
Analytical Problem Solving</li><li>
Innovation &amp; Creativity</li></ul><h2 class="jobSectionHeader"> 
Technical Competencies:</h2><ul><li>
AI/ML Development: Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Programming: Python, Swift, Kotlin, JavaScript/TypeScript</li><li>
Cloud &amp; DevOps: AWS/GCP, Docker, CI/CD</li><li>
Version Control: Git</li><li>
Data Engineering: Pandas, NumPy, SQL, data pipeline development</li><li>
Mobile &amp; Web Development: Android Studio, Xcode, React/Next.js, Flutter (optional)</li><li>
Backend &amp; APIs: REST, GraphQL, Flask/FastAPI, Node.js</li><li>
Security &amp; Compliance: Secure coding, data privacy frameworks</li></ul>
DXqq0rtumm</div>

AI Engineer

IGATE

<div>We are seeking a Backend Engineer who thrives on building scalable APIs and integrations that power AI-driven products. You&rsquo;ll design and develop the backbone of X-Demand &mdash; from model-serving APIs to ERP/e-commerce integrations &mdash; working closely with our Data Science and AI teams to bring intelligent systems into production.
Responsibilities<ul>
<li>
Design and build REST/GraphQL APIs to serve ML model outputs (forecasting, pricing, inventory).</li>
<li>Develop secure integration endpoints for external systems (POS, ERP, e-commerce).</li>
<li>Work with Data/ML team to deploy models into production-ready services.</li>
<li>Ensure API reliability, versioning, and documentation for internal &amp; external use.</li>
<li>Optimize performance, scalability, and maintainability of backend services.</li>
<li>Implement observability and monitoring tools to track API and model performance in production</li>
</ul>
Requirements<ul>
<li>
4+ years of experience developing backend services using or Python (FastAPI/Django/Django REST FRAMEWORK).</li>
<li>Strong background in REST APIs, integrations, and microservices architecture.</li>
<li>Hands-on Experience with databases (Postgres, MongoDB, or similar).</li>
<li>Familiarity with cloud services (AWS/GCP/Azure).</li>
<li>Must have experience in AI/ML concepts (model inference, data pipelines, or MLOps).</li></ul> 
Preferred Qualifications<ul>
<li>
Experience with GraphQL or gRPC for high-performance APIs.</li>
<li>Knowledge of event-driven systems (Kafka, RabbitMQ, Pub/Sub).</li>
<li>Exposure to OAuth2, JWT, and enterprise security standards.</li>
<li>Experience integrating or serving AI/ML models in production environments.</li>
<li>Background in retail, e-commerce, or SaaS product integrations.</li>
</ul>
Familiarity with vector databases (Pinecone, Weaviate, or ChromaDB) and embedding-based search
Benefits<ul><li>Fuel Allowance</li></ul>
 Medical Insurance
 Free Lunch Facility (In-house)<ul><li>&#65039; GYM Passport (Panel Gym's Free of Cost)</li></ul>
 Participatory Fund
 Market Competitive Salary
 Learning &amp; Challenging Work Environment
&zwj; Amazing Work Culture
 Paid Time off
&zwj;&zwj;&zwj; Group Life Insurance<ul><li>Maternity Leaves and many more</li></ul></div>

Backend Engineer (APIs & Integrations)

Explore 150+ Ml engineer in Islamabad Pakistan this November. Find roles across top companies and apply now to boost your career.