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ai engineering design specialist - codebyte Jobs in Lahore

ai engineering design specialist codebyte

Taraki

<div>
 Our client
 
 CodeByte
 
 is looking for
 
 AI Engineer Design Specialist
 
 in
 
 Lahore.
 
 
 
 
 Role Overview
 
 
 
 We are looking for experienced engineers with deep design expertise to create challenging, simulation-based design problems for training and evaluating advanced AI models. The role focuses on crafting realistic engineering design tasks where a model must make genuine trade-offs, size components, and iterate against physics-based simulators to meet competing specifications.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and validate simulation-based engineering problems that require true design reasoning, with clear constraints and optimization goals.
 </li>
 <li>
 Deliver complete problem sets including reference solutions, near-miss variants, edge cases, and documentation, ensure appropriate difficulty with multiple failure modes, and collaborate with researchers to refine problems based on model performance.
 
 
 
 </li>
 </ul>
 
 Domain Tracks
 
 
 
 You should have deep design expertise in at least one of the following; expertise spanning multiple tracks is a strong plus.
 
 
 <ul>
 <li>
 Electrical &amp; Computer Engineering &mdash; analog/mixed-signal IC design, power electronics, RF/microwave, digital system design, FPGA/ASIC, embedded systems.
 </li>
 <li>
 Mechanical Engineering &mdash; structural/thermal/fluid system design, mechanism design, HVAC, vibration/dynamics, manufacturing process design.
 </li>
 <li>
 Chemical Engineering &mdash; reactor design, process design and optimization, separation systems, transport phenomena, combustion and thermochemistry.
 </li>
 <li>
 Control Systems &mdash; classical and modern control design, state estimation, nonlinear and robust control, system identification.
 </li>
 <li>
 Materials / Nano &mdash; materials selection under constraints, microstructure-property design, thin-film and nanoscale device design.
 </li>
 <li>
 Engineering Physics / Optics &mdash; optical system design, photonic device design, laser systems, wave propagation and interference.
 </li>
 <li>
 Aerospace Engineering &mdash; aerodynamic design, propulsion sizing, orbital mechanics, flight dynamics and stability, structural design for aerospace loads.
 </li>
 <li>
 Civil / Structural Engineering &mdash; structural member and connection design, foundation design, seismic/wind loading, geotechnical design.
 </li>
 <li>
 Nuclear / Energy &mdash; reactor core design, shielding, thermal-hydraulics, renewable energy system sizing, grid-scale storage design.
 </li>
 <li>
 Systems Engineering &mdash; system architecture trade studies, requirements decomposition, interface design, multi-subsystem integration.
 </li>
 <li>
 Robotics &mdash; kinematic/dynamic design, motion planning, actuator and sensor selection, mechatronic system integration.
 
 
 
 </li>
 </ul>
 
 Required Qualification:
 
 
 
 <ul>
 <li>
 Master's or PhD in a relevant engineering/applied science field.
 </li>
 <li>
 3+ years of hands-on engineering design experience, producing validated designs from competing specs (not just analysis).
 </li>
 <li>
 Proficient in at least one open-source simulation tool relevant to the domain.
 </li>
 <li>
 Strong Python (or equivalent) scripting skills.
 </li>
 <li>
 High attention to detail across units, boundary conditions, convergence, and physical realism.
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience designing engineering coursework, exam problems, or design challenges at graduate level.
 </li>
 <li>
 Familiarity with CI/CD pipelines or automated testing frameworks.
 </li>
 <li>
 Exposure to LLM evaluation, AI benchmarking, or training data curation.
 </li>
 <li>
 Cross-domain familiarity with Control Systems, Embedded/Robotics, or Power Systems.
 
 </li>
 </ul>
</div>

AI Engineering Design Specialist - CodeByte

NorthBay Solutions

<div>
 
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 
 About the Role:
 
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber&nbsp;
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and deploy
 
 LLM-powered applications
 
 using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop
 
 Agentic AI systems
 
 leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement
 
 custom Document Intelligence models
 
 for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect
 
 multi-tenant AI deployments
 
 with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage
 
 Knowledge Graphs
 
 for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced
 
 prompt engineering techniques
 
 (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use
 
 Prompt Flow in Azure AI Studio
 
 for experimentation, testing, and versioning
 </li>
 <li>
 Design
 
 intelligent conversational systems
 
 with fallback handling and contextual memory
 </li>
 <li>
 Build and manage
 
 MLOps pipelines
 
 using Azure Machine Learning
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on&nbsp;
 
 Azure OpenAI API
 
 (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building
 
 RAG pipelines using Azure AI Search
 
 </li>
 <li>
 Experience with
 
 vector databases and hybrid search architectures
 
 </li>
 <li>
 Practical experience in
 
 Agentic AI / multi-agent systems
 
 </li>
 <li>
 Hands-on with
 
 Azure AI Document Intelligence (Form Recognizer)
 
 </li>
 <li>
 Solid understanding of
 
 Knowledge Graphs and semantic modeling
 
 </li>
 <li>
 Expertise in
 
 prompt engineering &amp; LLM optimization techniques
 
 </li>
 <li>
 Experience with
 
 Prompt Flow (Azure AI Studio)
 
 </li>
 <li>
 Strong background in
 
 Python and cloud-native development
 
 </li>
 <li>
 Experience with
 
 Azure ML / MLOps pipelines
 
 </li>
 <li>
 Ability to design scalable and secure
 
 enterprise AI architectures
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 LangChain, Semantic Kernel, or similar frameworks
 
 </li>
 <li>
 Exposure to
 
 multi-agent orchestration tools
 
 </li>
 <li>
 Prior experience working with
 
 enterprise clients or large-scale AI deployments
 
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Binary Brix 

Job Description:Growth Specialist (IT Services &amp; SaaS)Role Title: Growth Specialist / Growth LeadDepartment: Growth &amp; RevenueWork Model: Hybrid (depending on location)Experience Required: 2&ndash;5+ years in growth, marketing, or revenue-focused roles in IT services, SaaS, or tech consulting companies.ROLE PURPOSEThe Growth Specialist will own and scale Aegasis Labs&rsquo; sales and marketing engine. This includes pipeline growth, inbound + outbound campaigns, performance marketing, content strategy, partnerships, and revenue optimization. The ideal candidate deeply understands IT services, AI &amp; engineering solutions, SaaS funnels, and how to implement systems that consistently drive qualified leads.KEY RESPONSIBILITIESSales &amp; Pipeline Growth<ul><li>Build and execute a complete end-to-end growth strategy (top of funnel &rarr; SQL &rarr; closed deals).</li><li>Design and manage outbound systems: cold email, cold calling, LinkedIn, lead scraping.</li><li>Optimize targeting for decision makers (CTOs, CEOs, Product Managers, Founders).</li><li>Build scalable outbound campaigns aligned with ICPs for AI, ML, SaaS &amp; engineering services.</li></ul>Marketing Leadership<ul><li>Own the full marketing roadmap: messaging, positioning, branding, content.</li><li>Develop and manage SEO, social media, email marketing, and paid media campaigns.</li><li>Lead website optimization and CRO initiatives to increase demo requests.</li><li>Create compelling case studies, landing pages, and digital assets.</li></ul>Content &amp; Community<ul><li>Build thought-leadership content (LinkedIn, X, blog, newsletter).</li><li>Develop social media systems focused on founders, tech leaders &amp; AI community.</li><li>Manage influencer partnerships, forums, niche groups &amp; communities.</li></ul>Analytics, Systems &amp; Automation<ul><li>Use data to track growth performance across channels.</li><li>Build automated workflows using HubSpot, Apollo, GoHighLevel, Zapier, etc.</li><li>Implement dashboards to monitor KPIs weekly, monthly, and quarterly.</li></ul>Partnerships &amp; Expansion<ul><li>Identify and close partnerships with agencies, consultants, and corporate alliances.</li><li>Explore and validate new service lines, geographies, and revenue opportunities.</li></ul>KPIs<ul><li>SQLs per week: 10+</li><li>Pipeline value growth: Monthly increase</li><li>Website demo conversion rate</li><li>Lead-to-SQL conversion %</li><li>Organic traffic &amp; ranking growth</li><li>Cost per lead &amp; cost per acquisition</li><li>Revenue contribution from growth initiatives</li></ul>REQUIRED SKILLS<ul><li>Proven experience scaling IT services, SaaS, or software companies.</li><li>Deep understanding of B2B funnels, outbound systems &amp; demand generation.</li><li>Strong analytical background with tools: GA4, Search Console, HubSpot, Apollo, LinkedIn Sales Navigator.</li><li>Excellent copywriting and messaging skills.</li><li>Strong understanding of AI services, ML engineering, CV, NLP &mdash; preferably experience marketing tech products.</li><li>Hands-on ability to execute strategy (not just manage).</li><li>Strong ownership mindset and ability to work independently.</li></ul>IDEAL CANDIDATE TRAITS<ul><li>Data-driven, KPI-focused, fast executor.</li><li>Highly entrepreneurial mindset.</li><li>Creative problem-solver with strong communication skills.</li><li>Comfortable working with minimal structure and growing systems from scratch.</li><li>Thrives in fast-paced environments.</li></ul>Pay: Rs150,000.00 - Rs200,000.00 per hourWork Location: In person

Growth Marketer / Senior Social Media Strategist

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

Datamatics Technologies

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
 <li>
 
 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
 <li>
 
 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
 <li>
 
 Design and propose robust, enterprise-grade architectural improvements
 
 </li>
 <li>
 
 Define target-state architectures aligned with long-term business and AI strategy
 
 </li>
 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
 <li>
 
 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
 </li>
 <li>
 
 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
 </li>
 <li>
 
 Define standards for system interoperability, resilience, and observability
 
 </li>
 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
 </li>
 <li>
 
 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
 </li>
 <li>
 
 Ensure architectures support model lifecycle management, scalability, and performance
 
 </li>
 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
 </li>
 <li>
 
 Provide high-level design documentation, reference architectures, and technical blueprints
 
 </li>
 <li>
 
 Support roadmap definition and continuous architectural evolution
 
 </li>
 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
 </li>
 <li>
 
 Distributed storage platforms
 
 </li>
 <li>
 
 Low-latency analytical databases
 
 </li>
 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
 </li>
 <li>
 
 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
 <li>
 
 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
 </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
 </li>
 <li>
 
 Experience in regulated or large enterprise environments
 
 </li>
 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
 </li>
 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
</div>

AI Architect

CodeNinja Inc.

<div>
 
 About The Company
 
 
 
 CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan's fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
 
 
 
 About The Role
 
 
 
 We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS
 </li>
 <li>
 Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge
 </li>
 <li>
 Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs
 </li>
 <li>
 Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams
 </li>
 <li>
 Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices
 </li>
 <li>
 Serve as primary technical point of contact for clients during active engagements
 </li>
 <li>
 Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS
 </li>
 <li>
 Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway
 </li>
 <li>
 Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures
 </li>
 <li>
 Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS
 </li>
 <li>
 Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm
 </li>
 <li>
 Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders
 </li>
 <li>
 Experience leading distributed engineering teams through full delivery lifecycles on AWS
 </li>
 <li>
 Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails
 </li>
 <li>
 Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness
 </li>
 <li>
 Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment
 </li>
 <li>
 Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns
 
 
 </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, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund (PF): 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after 12 months of confirmation
 </li>
 <li>
 Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 Performance-Based Increment
 </li>
 <li>
 32 Paid Leaves (Annual)
 </li>
 <li>
 Easy Loan Facility
 </li>
 <li>
 Company-Sponsored Trips
 </li>
 <li>
 Gym Passport Membership (Access To 250+ Gyms)
 </li>
 </ul>
</div>

AWS AI/ML Practice Lead

Explore 1084+ Ai engineering design specialist codebyte in Lahore this May. Find roles across top companies and apply now to boost your career.

1084 ai engineering design specialist codebyte jobs In Lahore

AI Engineering Design Specialist - CodeByte

Azure AI (Agentic) Specialist - Team Lead

Azure AI (Agentic) Specialist - Team Lead

Growth Marketer / Senior Social Media Strategist

AI Solution Architect

AI Architect

AWS AI/ML Practice Lead