search engineer

Divit Techologies

<p><b>seeking a Principal Search Engineer with deep expertise in Java, Elasticsearch, and Solr to drive the development and optimization of our search and discovery platform. This role focuses on eCommerce search, product relevance ranking, and personalized search experiences to enhance user engagement and conversion rates. You will work with large-scale search architectures, apply machine learning techniques for relevance tuning, and collaborate with data scientists, product teams, and engineers to improve search performance and ranking models.</b></p><ul><li>Architect, design, and implement scalable search solutions using Elasticsearch, Solr, and Java for eCommerce platforms.</li><li>Develop product relevance ranking algorithms, leveraging machine learning, NLP, and search tuning techniques.</li><li>Optimize query performance, indexing strategies, and ranking models to enhance search accuracy and speed.</li><li>Implement semantic search, personalized recommendations, and dynamic ranking models to improve user experience.</li><li>Work with clickstream data, behavioral analytics, and A/B testing to measure and improve search effectiveness.</li><li>Collaborate with data scientists and engineers to integrate AI-driven search enhancements into the platform.</li><li>Enhance facet filtering, auto-suggestions, synonym handling, and search result diversification for better user engagement.</li><li>Monitor search performance, troubleshoot issues, and implement improvements to support business growth.</li><li>Stay up to date with the latest advancements in search technologies, NLP, vector search, and eCommerce trends.14+ years of experience in search engineering, with a strong focus on Elasticsearch, Solr, and Java.</li><li>Proven experience in eCommerce search, product relevance ranking, and personalized search experiences.</li><li>Expertise in query understanding, ranking signals, boosting strategies, and dynamic ranking models.</li><li>Experience with vector search, NLP, and machine learning-based search optimizations.</li><li>Deep knowledge of distributed search architectures, indexing, and scaling strategies.</li><li>Strong understanding of RESTful APIs, microservices, and cloud-based search deployments (AWS, Google Cloud Platform, or Azure).Familiarity with big data processing frameworks (Spark, Kafka) and logging tools for search analytics.</li><li>Experience with A/B testing and search metric evaluation (CTR, MRR, NDCG, recall/precision).Strong problem-solving skills, with the ability to diagnose and optimize complex search performance issues.</li></ul><p>Job Type: Full-time</p><p>Pay: From &#8377;2,500,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: Remote</p>

Senior Principal Search Engineer

Randstad Türkiye

<div>
 <p>
  We are looking for a
  <strong>
   "AI Engineer"
  </strong>
  on behalf of our global business partner runs in
  <em>
   Telecommunication Industry.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Description:
  </strong>
 </p>
 <p>
  <strong>
   AI Engineers &ndash; Search &amp; RecSys &amp; GenAI
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    As a part of our AI teams you'll work with talented AI engineers at every level to improve our search and recommendation solutions within AppGallery. This role allows you to directly affect user experience of millions of AppGallery users.
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    You'll have a chance to thrive in a multinational environment. Within this role you can expect to carry out following tasks;
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and optimize CTR prediction, graph-based models and ranking models for efficient and accurate search &amp; recommendation functionality in app store domain.
  </li>
  <li>
   Conduct feature engineering and data analysis to drive better model performance and insights.
  </li>
  <li>
   Explore and integrate generative AI techniques, LLM fine-tuning methods such as LoRA, QLoRA, or Prompt Tuning into search and recommendation systems.
  </li>
  <li>
   Develop agentic search and recommendation solutions for autonomous decision-making in search and recommendation pipelines.
  </li>
  <li>
   Design, build and deploy scalable ML services on MLOps platform to address business requirements.
  </li>
  <li>
   Collaborate with cross-functional teams to analyze complex data requirements and design innovative software solutions.
  </li>
  <li>
   Conduct code reviews to ensure high-quality, maintainable, and efficient code following industry best practices.
  </li>
  <li>
   Mentor and guide junior engineers in the areas of search, information retrieval, deep learning, and NLP.
  </li>
  <li>
   Stay updated with the latest advancements in information retrieval, ranking, deep learning, NLP, generative AI and agentic search, and integrate them into our products and services
  </li>
  <li>
   Produce academic outputs in the form of papers, patents, and technical talks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Minimum MS degree or PHD degree with focus on RecSys, IR and DL, preferably in a computer science &amp; engineering or related fields.
  </li>
  <li>
   Minimum 3 years of experience preferably in industry.
  </li>
  <li>
   Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
  </li>
  <li>
   Experience with popular deep learning frameworks (TensorFlow, PyTorch) and other ML libraries.
  </li>
  <li>
   Proven expertise in LLM-based development, RAG pipelines, and multi-agent systems.
  </li>
  <li>
   Publication records in journals or conferences related with RecSys, IR, NLP especially in the areas of ctr prediction, vector retrieval, semantic search and ranking.
  </li>
  <li>
   Experience in integrating deep models, language models (LMs), generative AI models, and ranking models for large-scale recommendation engines using these specialized techniques.
  </li>
  <li>
   Previous project experience in search or recommendation systems domain, including agentic search and recommendation approaches, is a big plus.
  </li>
  <li>
   Java service development experience using Spring and related topics &amp; technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)
  </li>
  <li>
   Fluency in English is mandatory.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Am I right for the team?
  </strong>
 </p>
 <ul>
  <li>
  </li>
  <li>
   If you're excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data, you can be perfect fit for the task at hand.
  </li>
  <li>
   If you're easy to communicate, open for suggestions and improvements, can work independently, pro-actively and well aligned then you can be perfect fit for our team culture.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.</p><p>
In Google Search, we're reimagining what it means to search for information &ndash; any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.</li>
<li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.</li>
<li>Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Search

Apple

<p>Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other&rsquo;s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you&rsquo;ll do more than join something - you&rsquo;ll add something.<br>
<br>
The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Machine Learning Expert, you play a critical role in developing world-class Search and Q&amp;A experiences for Apple customers with cutting-edge search technologies and large language models.<br>
<br>
<b>Description</b><br>
Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills.<br>
<br>
You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide the best results and accurate answers to satisfy users' information-seeking needs.<br>
<br>
<b>Preferred Qualifications</b><br>
Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making<br>
Hands-on experience in Retrieval Augmented Generation (RAG), including developing, evaluating and enhancing for both retrievers and generative LLMs<br>
Experience presenting plans, progress, and results or demos regularly and concisely<br>
MS or Ph.D in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field<br>
<br>
<b>Minimum Qualifications</b><br>
3 - 8 years experience in shipping Search and Q&amp;A technologies and ML systems<br>
Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go<br>
Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality<br>
Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy<br>
Strong written and verbal communication with the ability to articulate complex topics<br>
Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others<br>
Passion for building phenomenal products and curiosity to learn&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

Machine Learning Engineer / Applied Scientist, Search & AI

VisionX

<div>
 <p>
  <strong>
   About Us
  </strong>
 </p>
 <p>
  At VisionX, we are reshaping the convergence of AI and computer vision. Since our inception in 2017, we have enabled B2B enterprises to improve process efficiencies, drive revenue growth, and create a competitive advantage. We accomplish this by crafting outstanding bespoke product experiences for our clients, their customers, and the field workforce through advanced AI and emerging technologies.
 </p>
 <p>
 </p>
 <p>
  Fast Company recognized us as one of the Top 10 Most Innovative Companies of 2020, alongside Microsoft and Snap Inc. We are trendsetters who innovate, build, and scale as your partner, providing technology that works with speed and agility, all while ensuring a competitive edge in affordability.
 </p>
 <p>
 </p>
 <p>
  In addition to our AI solutions, VisionX serves as a GCC systems integrator for the most advanced AI-powered enterprise logistics platform tailored for warehouses, retail stores, and final-mile buildings.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Role
  </strong>
 </p>
 <p>
  We are looking for an experienced Algolia Search Expert with strong
  <strong>
  </strong>
  Magento (Adobe Commerce) expertise to manage, optimize, and enhance our site search and personalization capabilities. The ideal candidate will be responsible for configuring, customizing, and maintaining Algolia integrations, ensuring seamless search performance and delivering personalized search experiences that improve user engagement and conversion rates.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  - Implement, configure, and maintain Algolia Search integration within Magento (Adobe Commerce).
 </p>
 <p>
  - Optimize search results for performance, accuracy, and relevance.
 </p>
 <p>
  - Manage Algolia indices, facets, synonyms, filters, and ranking strategies.
 </p>
 <p>
  - Collaborate with development and product teams to deliver personalized search and recommendation experiences.
 </p>
 <p>
  - Design and implement search UI/UX enhancements using Algolia InstantSearch or custom widgets.
 </p>
 <p>
  - Analyze search analytics and user behavior to identify optimization opportunities.
 </p>
 <p>
  - Manage A/B testing and fine-tune relevance using Algolia&rsquo;s dashboard and APIs.
 </p>
 <p>
  - Work closely with backend teams to ensure smooth data synchronization between Magento and Algolia.
 </p>
 <p>
  - Troubleshoot search-related issues and ensure high availability and performance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Need:
  </strong>
 </p>
 <p>
  - Proven experience with Algolia Search integration and configuration.
 </p>
 <p>
  - Strong hands-on experience with Magento 2 (Adobe Commerce).
 </p>
 <p>
  - Proficiency in JavaScript, PHP, and REST/GraphQL APIs.
 </p>
 <p>
  - Experience with Algolia APIs, Indexing, and Frontend Search UI frameworks (InstantSearch.js / React InstantSearch).
 </p>
 <p>
  - Strong understanding of search ranking, faceting, synonyms, and relevance tuning.
 </p>
 <p>
  - Knowledge of personalization, analytics, and A/B testing in Algolia.
 </p>
 <p>
  - Familiarity with eCommerce performance optimization and SEO best practices.
 </p>
 <p>
  - Excellent problem-solving skills and ability to work cross-functionally.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <p>
  - Experience with Algolia Recommend and AI-based personalization.
 </p>
 <p>
  - Familiarity with BigQuery, GA4, or other analytics tools for search insights.
 </p>
 <p>
  - Experience with headless Magento or PWA storefronts.
 </p>
 <p>
  - Basic knowledge of CI/CD and cloud deployment environments (Azure, AWS, GCP).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Choose Us
  </strong>
 </p>
 <p>
  Our global network of industry experts and mentors helps shape your growth and future. We believe in delivering client value through our work. We build products that are not good or great, but outstanding.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You deliver! We will make your stay and journey with us worthwhile.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.
  </em>
 </p>
</div>


Algolia Search Expert

<p>Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other&rsquo;s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you&rsquo;ll do more than join something - you&rsquo;ll add something.<br>
<br>
The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Machine Learning Expert, you play a critical role in developing world-class Search and Q&amp;A experiences for Apple customers with cutting-edge search technologies and large language models.<br>
<br>
<b>Description</b><br>
Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills.&quot;,&quot;responsibilities&quot;:&quot;You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide the best results and accurate answers to satisfy users' information-seeking needs.<br>
<br>
<b>Preferred Qualifications</b><br>
Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making<br>
Hands-on experience in Retrieval Augmented Generation (RAG), including developing, evaluating and enhancing for both retrievers and generative LLMs<br>
Experience presenting plans, progress, and results or demos regularly and concisely<br>
MS or Ph.D in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field<br>
<br>
<b>Minimum Qualifications</b><br>
8+ years experience in shipping Search and Q&amp;A technologies and ML systems<br>
Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go<br>
Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality<br>
Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy<br>
Strong written and verbal communication with the ability to articulate complex topics<br>
Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others<br>
Passion for building phenomenal products and curiosity to learn&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

Senior Machine Learning Engineer / Senior Applied Scientist, Search & AI

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>
Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div><div><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
<p>
 <b>Location: Hyderabad</b></p>
<p><b>
Qualification: B. Tech</b></p><br>
<p></p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>375429</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

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