search engineer

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department:</b> Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services<br>
</div><div></div><br>
<div>We are seeking a visionary Senior Knowledge Graph &amp; Context Engineer for the end-to-end design, build, deployment, and continuous improvement of the knowledge and context capabilities that power our AI assistants along with our enterprise search, and decision-support solutions. You will harness the context layer creation that will connect enterprise data, business knowledge, semantic models, and AI services, ensuring that product, ingredient, regulatory, quality, sustainability, marketing, and supply chain knowledge is delivered accurately, safely, and at speed through reusable and scalable solutions. The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP , CRM , PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases. The position requires a blend of business understanding, semantic / knowledge engineering capability, and AI delivery expertise, with a strong focus on enabling high-quality grounding, retrieval, governance, and adoption across the organization.<br>
</div><div></div><br>
<div><b>YOUR NEW KEY RESPONSIBILITIES:
</b></div><div><ul><li>Design, build, and operationalize the enterprise context layer that supports AI assistants, semantic search, and decision-support solutions across business domains.
</li><li>Transform enterprise knowledge assets into reusable, trusted, and scalable context packs for Agentic AI outcomes.
</li><li>Design and optimize retrieval pipelines, grounding patterns, chunking strategies, metadata enrichment, and prompt/context orchestration to ensure accurate, relevant, and safe AI responses.
</li><li>Partner closely with Ontology Engineers, AI Engineers, and Data teams to apply semantic enrichment, taxonomies, controlled vocabularies, and relationship modelling that improve discoverability, interoperability, and reasoning.
</li><li>Embed policy-aware controls, access rules, governance standards, and quality checks into context pipelines to ensure compliant and trusted use of enterprise knowledge.
</li><li>Work with Data Platform and Engineering teams to productionize context services across graph, search, and AI ecosystems, ensuring performance, scalability, monitoring, and maintainability.
</li><li>Partner with Product, Data Platform, Security / Compliance, Architecture, and business domain teams to align priorities with business needs and accelerate adoption of AI-enabled knowledge solutions.
</li><li>Help improve findability, reuse, decision quality, and business efficiency, while tracking impact, adoption, and value realization.
</li><li>Support the embedding of knowledge-driven and AI-enabled processes into business workflows, tools, and digital products.
</li>Drive continuous improvement in knowledge quality, retrieval effectiveness, semantic consistency, and AI response performance.<br>
<li>
</li></ul></div><div></div><br>
<div><b>ARE THESE YOUR SECRET INGREDIENTS?
</b></div><div><ul><li>BSc or MSc in a relevant field such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or a related discipline.
</li><li>1+ experience in knowledge engineering, context engineering, semantic technologies, enterprise search, GenAI / LLM solutions, or AI product enablement.
</li><li>Strong understanding of one or more of the following: ontologies, taxonomies, controlled vocabularies, knowledge graphs, metadata modelling, semantic enrichment, and information retrieval.
</li><li>Hands-on experience designing or supporting RAG pipelines, prompt / grounding patterns, context orchestration and memory management, context quality and provenance, semantic search, and evaluation of AI responses.
</li><li>Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, and cloud AI / data ecosystems. Exposure to tools and W3C standards such as RDF, OWL, SKOS, SHACL, SPARQL, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, or equivalent, is considered a strong advantage.
</li><li>Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
</li><li>Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions.</li>
Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.<br>
<li>
</li></ul></div><div></div><br>
<div><b>ABOUT YOUR NEW TEAM:
</b></div><div>We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
</div><div>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
</div><div>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div><div>
</div></div></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Work with iconic brands</div></div></div></div></div></div></div>

Senior Engineer – Knowledge Graph & Context

IZOC Solutions

<p><b>We&rsquo;re Hiring: SEO Expert (Not a Typical SEO Role)</b></p><p>At IZOC Solutions, we&rsquo;re not hiring someone to &ldquo;do SEO.&rdquo;</p><p>We&rsquo;re hiring someone to <b>engineer organic dominance across search ecosystems, AI engines, and large-scale digital infrastructure.</b></p><p>If your experience is limited to keyword research, meta tags, and backlink building, this role is not for you.</p><p>We are building a <b>high-performance SEO system tightly integrated with Service Hub, and Growth teams</b>, not a siloed marketing function.</p><p><b>What You&rsquo;re Actually Building</b></p><p>You will be responsible for building and scaling a <b>next-generation SEO engine</b> that performs across:</p><ul><li>Traditional search engines like Google</li><li>AI-driven systems like ChatGPT, Claude, Google Gemini, Grok</li><li>Answer engines like Perplexity AI</li><li>Community-driven discovery platforms like Reddit</li></ul><p>This is not about ranking pages.</p><p>This is about <b>owning visibility across all modern discovery systems in 2026 and beyond.</b></p><p><b>Core Responsibilities (High-Level Execution Role)</b></p><p>You will be deeply involved in execution, not just strategy:</p><p><b>1. Programmatic SEO at Scale</b></p><ul><li>Build real systems, not templates</li><li>Design scalable SEO architecture for thousands to millions of pages</li><li>Automate content + indexing systems with measurable impact</li></ul><p><b>2. Technical SEO at Infrastructure Level</b></p><ul><li>Deep understanding of JavaScript rendering, crawl behavior, and indexing pipelines</li><li>Fix and optimize large-scale technical SEO issues across multi-market platforms</li><li>Work directly with engineers on performance, rendering, and architecture decisions</li></ul><p><b>3. AI Search &amp; GEO Optimization</b></p><ul><li>Optimize for Generative Engine Optimization (GEO)</li><li>Build entity-driven SEO systems for AI search visibility</li><li>Understand how modern LLMs interpret, rank, and retrieve content</li></ul><p><b>4. Algorithm Mastery (Non-Negotiable)</b></p><ul><li>Deep understanding of Google algorithm systems and updates, including Helpful Content systems and continuous ranking evolution</li><li>Ability to interpret ranking volatility and reverse-engineer patterns</li><li>Constant adaptation to search evolution, not outdated SEO playbooks</li></ul><p><b>5. Experimentation &amp; Growth Loops</b></p><ul><li>Run structured SEO experiments (A/B testing, rollouts, rollback strategies)</li><li>Measure impact beyond traffic: activation, retention, revenue contribution</li><li>Build feedback loops between SEO and product growth</li></ul><p><b>Platforms You Must Understand Deeply</b></p><p>You are expected to know how to influence visibility across:</p><ul><li>Google SERPs, snippets, and indexing systems</li><li>People Also Ask ecosystems</li><li>AI Overviews and generative results</li><li>ChatGPT responses and AI search behavior</li><li>Google Gemini and multimodal search outputs</li><li>Claude reasoning-based retrieval systems</li><li>Grok conversational search behavior</li><li>Perplexity AI answer engine ranking logic</li><li>Reddit content discovery and community ranking signals</li></ul><p>If you only understand Google, you are already behind.</p><p><b>What You Will Own End-to-End</b></p><ul><li>Full SEO roadmap across multiple markets</li><li>KPI definition, measurement systems, and reporting logic</li><li>Execution strategy from crawl to conversion</li><li>Cross-functional collaboration with Product and Engineering</li><li>Scaling SEO into a <b>core revenue channel, not a support function</b></li></ul><p><b>Required Experience (Strict Filter)</b></p><p>We are only considering candidates who have:</p><ul><li>Proven experience in <b>programmatic SEO systems that are already live and ranking</b></li><li>Strong technical SEO background (JavaScript, indexing, crawling, architecture)</li><li>Hands-on experience working with engineers in real production environments</li><li>Experience with AI-driven search or modern discovery systems</li><li>Strong data interpretation skills (not just reporting, actual decision-making from data)</li></ul><p><b>Mandatory Requirement (Non-Negotiable)</b></p><p>You must have your <b>own website or your personal live project</b>.</p><p>Not a portfolio.</p><p>Not a case study document.</p><p>A real, functioning website that proves:</p><ul><li>You can rank pages in competitive environments</li><li>You understand technical + content + algorithm interaction</li><li>You can diagnose and fix real-time SEO problems</li><li>You can show measurable growth outcomes</li></ul><p>If you cannot show this, do not apply.</p><p><b>What We Expect From You</b></p><p>We are NOT looking for:</p><ul><li>Task executors</li><li>Template SEO specialists</li><li>Link builders</li><li>Keyword planners</li></ul><p>We are looking for someone who:</p><ul><li>Thinks like a systems engineer</li><li>Understands search as a complex evolving ecosystem</li><li>Can bridge SEO, product, and engineering</li><li>Can build scalable organic growth machines from scratch</li></ul><p>This role is intense, technical, and high-responsibility.</p><p>You will not be &ldquo;doing SEO.&rdquo;</p><p>You will be <b>designing how visibility works across modern search ecosystems.</b></p><p>If that excites you more than it scares you, you might be the person we&rsquo;re looking for.</p><p><b>Location : Bahria Phase 4, Civic Center , Rawalpindi</b><br/><b>Timings: 3:00 PM - 12:00 AM</b><br/><b>Monday to Friday</b></p><p><b>PLEASE NOTE THAT THIS IS A FULL TIME ON SITE ROLE, WE DO NOT HIRE REMOTELY</b></p><p>Job Type: Full-time</p><p>Pay: Rs70,000.00 - Rs100,000.00 per month</p><p>Experience:</p><ul><li>SEO : 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Senior SEO Executive

capital engineering consultancy

<p><b>Senior Civil Engineer Jobs in Abu Dhabi | Warehouse / Industrial Projects | Engineering Consultancy</b></p><p><b>Location:</b> Abu Dhabi, UAE<br/><b>Job Type:</b> Full-Time<br/><b>Industry:</b> Engineering Consultancy / Construction / Industrial Projects</p><p><b>Job Overview</b></p><p>We are hiring a <b>Senior Civil Engineer in Abu Dhabi</b> with <b>8+ years of experience</b> in <b>engineering consultancy</b> specializing in <b>warehouse and industrial construction projects</b>.</p><p>This role is ideal for professionals searching for:<br/><i>Senior Civil Engineer jobs in UAE, Civil Engineer jobs in Abu Dhabi, Consultancy Civil Engineer roles, Warehouse construction engineer jobs.</i></p><p><b>Key Responsibilities</b></p><ul><li>Manage <b>civil engineering design and site supervision</b> for warehouse and industrial projects</li><li>Review and approve <b>shop drawings, structural drawings, BOQs, and technical submissions</b></li><li>Coordinate with <b>consultants, contractors, architects, and MEP teams</b></li><li>Ensure compliance with <b>Abu Dhabi Municipality (ADM), ADDC, Civil Defense regulations</b></li><li>Conduct <b>site inspections, QA/QC checks, and progress monitoring</b></li><li>Handle <b>project planning, scheduling, and execution</b></li><li>Prepare and review <b>method statements, technical reports, and RFIs</b></li><li>Resolve <b>design and construction-related technical issues</b></li><li>Ensure adherence to <b>health, safety (HSE), and quality standards</b></li><li>Attend <b>client meetings and provide technical leadership</b></li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s Degree in <b>Civil Engineering</b></li><li>Minimum <b>8+ years experience as Civil Engineer / Senior Civil Engineer</b></li><li>Strong background in <b>engineering consultancy in UAE</b></li><li>Proven experience in <b>warehouse construction, industrial buildings, logistics facilities</b></li><li>Expertise in <b>AutoCAD, Civil 3D, MS Office</b> (Revit preferred)</li><li>Knowledge of <b>UAE building codes, authority approvals, and construction standards</b></li><li>Strong skills in <b>project coordination, stakeholder management, and communication</b></li></ul><p><b>Preferred Keywords (for search visibility match)</b></p><p>Senior Civil Engineer UAE | Civil Engineer Abu Dhabi | Warehouse Projects Engineer | Industrial Construction Engineer | Engineering Consultancy Jobs UAE | Site Engineer Civil | Project Engineer Civil UAE</p><p><b>Why Join Us</b></p><ul><li>Work on <b>large-scale warehouse and industrial projects in Abu Dhabi</b></li><li>Exposure to <b>high-value consultancy projects</b></li><li>Career growth in a <b>reputed engineering consultancy environment</b></li></ul><p><b>How to Apply</b></p><p>Apply now for one of the top <b>Senior Civil Engineer jobs in Abu Dhabi</b>:<br/><b>career@capitalengg.com</b></p><p>Job Type: Permanent</p><p>Application Question(s):</p><ul><li>What is your notice period ? </li></ul><p>Experience:</p><ul><li>Senior Civil Engineer: 8 years (Required)</li><li>Warehouse Project : 3 years (Required)</li><li>Engineering Consultancy : 2 years (Required)</li></ul><p>Work Location: In person</p>

Senior Civil Engineer(Industrial Project)

NorthBay - Pakistan

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


Azure AI (Agentic) Specialist - Team Lead

Jorofy Private Limited

<p><b>Role Summary:</b></p><p>We are seeking an exceptional <b>Senior AI Engineer</b> to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.</p><p><b>Responsibilities:</b></p><p><b>AI System Development</b></p><p>-Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</p><p>-Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</p><p>-Build production-ready voicebot solutions integrating real-time speech processing pipelines</p><p>-Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</p><p>-Design and Deploy PROD grade AI Agents that can scale up for various use cases.</p><p><b>LLM Engineering</b></p><p>-Fine-tune large language models using various techniques.</p><p>-Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</p><p>-Implement evaluation frameworks and metrics for LLM outputs and conversational quality</p><p>-Develop custom training pipelines for domain adaptation and specialized use cases</p><p>-Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</p><p>-Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</p><p>-Build monitoring and observability solutions for AI systems in production</p><p><b>Stakeholder Management &amp; Governance</b></p><p>-Coordinate across organizational stakeholders including Architecture, Security, Data Gov etc.</p><p>-Ensure compliance with internal and external governance frameworks and regulations</p><p>-Advocate for AI trends and technological advancements relevant to telecommunications</p><p>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</p><p>Experiment with emerging models and frameworks to evaluate applicability to business problems</p><p>Apply at : careers@enums.co</p><p>Job type : Remote</p><p>Job Type: Full-time</p><p>Application Question(s):<br/>* <br/>It's Not a Part time job, It's a Full time role. You can not do any other job or freelance work if you need this full time job.</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>AI Lead: 8 years (Required)</li></ul><p>Work Location: Remote</p>

Senior AI Engineer

Seeka Technology

<div><b>Company Description</b><p><br>
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.</p><p>
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.</p><p>
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.</p><p>
Below are the important details you will need to take note of:</p><ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul><br>
<b>
Job Description</b><p><b><br>
About the role</b></p><p>
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.</p><p><b>
What you'll do</b></p><ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul><p><b>
What we're looking for</b></p><ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul><p><b>
Nice to have</b></p><ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul><br>
<b>
Qualifications</b><p><br>
Degree or existing proven experience</p><b><br>
Additional Information</b><p><br>
Use this instead:</p><p><b>
Benefits</b></p><ul><li>
Fully remote / work-from-home role</li><li><p>
Flexible working hours within the team&rsquo;s expected schedule and business needs</p></li><li><p>
Opportunity to work on real backend, data, and AI infrastructure projects</p></li><li><p>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</p></li><li><p>
Ongoing growth and development within a fast-moving technology environment</p></li><li><p>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</p></li></ul><p>
A slightly more polished version:</p><p><b>
Benefits</b></p><ul><li><p>
Fully remote / work-from-home position</p></li><li><p>
Some flexibility in working hours, depending on team requirements and deliverables</p></li><li><p>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</p></li><li><p>
Opportunity to contribute to a growing platform with real product and engineering challenges</p></li><li><p>
Professional growth in a practical, fast-paced environment</p></li><li><p>
Strong potential for long-term progression based on performance, regardless of location</p></li></ul><p>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:</p><ul><li><p>
ownership</p></li><li><p>
real product impact</p></li><li><p>
career growth</p></li><li><p>
direct exposure to architecture and scaling decisions</p></li></ul></div>

Backend AI & Data Pipeline Engineer

SIDRAM TECHNOLOGIES

<div>
 <strong>
  Role: AI/ML Engineer - Python &amp; AWS
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  <br/>
 </strong>
 <strong>
  Location- Reston, VA(In Person Interview at Herndon VA )
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 </strong>
 <strong>
  Duration: Fulltime/Contract
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  <br/>
 </strong>
 <strong>
  Onsite: 5 Days Onsite
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 </strong>
 <strong>
  Job Description
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 <ul>
  <li>
   Core Responsibilities (AI/ML, Python, AWS, GenAI)
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   Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
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   Build and maintain cloud native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
  </li>
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   Develop high performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real time analytics.
  </li>
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   Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM powered automation (chatbots, summarization, semantic search, anomaly detection).
  </li>
  <li>
   Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure as code (Terraform/CloudFormation) for reliable, automated deployments.
  </li>
  <li>
   Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Rachael
  <br/>
  <br/>
 </strong>
 <strong>
  IT Services | Development | Staffing
  <br/>
  <br/>
 </strong>
 <strong>
  URL: http:/www.sidramtech.com |
  <br/>
  <br/>
 </strong>
 <strong>
  Email: rachael@sidramtech.com
  <br/>
  <br/>
 </strong>
 <strong>
  Direct: 4705239688
  <br/>
  <br/>
 </strong>
 <strong>
  Led by 25+ Years of Industry Experience
 </strong>
</div>


AI/ML Engineer - Python &amp

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