agentic ai engineer

ai / ml engineer

ai engineer

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ai/ml intern (machine learning & generative ai) Jobs in India

data scientist ai engineer analytics engineer

Great Learning

<div><div><p>Job Description</p>
<p></p><ul><li>Own analytics and AI solutions end-to-end: diagnose the root cause, build the solution, and follow it through to a business decision and measurable outcome.</li><li>Develop data and AI-powered solutions &mdash; predictive models, automated pipelines, intelligence layers &mdash; that drive real outcomes and reduce the need for manual intervention.</li><li>Build and maintain scalable, reliable data infrastructure, including robust data pipelines, foundational data models, and comprehensive data quality checks that the wider team can trust and build upon.</li><li>Build and optimize the analytics intelligence layer to ensure the automated, scheduled delivery of granular insights to the appropriate stakeholders.</li></ul><br>
</div><p></p><div><p>Qualifications</p><br>
<div><br>
<ul><li>1+ years of applied experience working on analytics or data science projects</li><li>Advanced problem-solving capabilities, with a track record of navigating ambiguous questions to identify root causes rather than simply executing requested queries.</li><li>Strong Python and SQL, and solid data-management fundamentals.</li><li>Baseline AI fluency, including active use of LLMs for workflow optimization and hands-on experience building AI-powered operational workflows.</li><li>Intrinsically motivated problem solvers who demonstrate ownership and genuinely enjoy learning</li><li>The ability to work independently &mdash; you can take a problem, scope it, and run with it without being handed every step.</li></ul></div></div></div>

Data Scientist / AI Engineer / Analytics Engineer

Hevo Data

<div>
 <strong>
  About Hevo:
  <br/>
  <br/>
 </strong>
 At
 <strong>
  Hevo Data
 </strong>
 , we&rsquo;re building the future of data infrastructure for AI. Over 2,000 companies across 40+ countries trust Hevo to power their analytics. As a deep tech company, our engineering team solves some of the hardest problems in data integration, scale, and reliability. We&rsquo;re looking for a
 <strong>
  Senior Technical
 </strong>
 <strong>
  Recruiter
 </strong>
 who goes beyond keyword matching. We want someone who can
 <strong>
  understand the technology, assess candidates based on their past technical projects/work, and match them to the role we&rsquo;re hiring for
 </strong>
 .
 <br/>
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 👉 If you can speak the language of engineers and help us identify the very best, let&rsquo;s talk.
 <br/>
 <br/>
 <strong>
  Job Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with engineering leaders to understand what a great candidate for that role looks like in each technical role (SDE-4, Staff Engineer, Principal Engineer)
  </li>
  <li>
   Evaluate candidate fitment by reviewing their past work, technical contributions, and problem-solving approaches
  </li>
  <li>
   Conduct structured technical conversations to pre-assess candidates before formal interviews
  </li>
  <li>
   Build and nurture long-term pipelines of deep-tech engineers in Backend, Frontend, DevOps, and Data Infra
  </li>
  <li>
   Apply a systematic approach to target, network and engage with passive talent pools
  </li>
  <li>
   Deliver an engaging candidate experience and be the brand ambassador for Hevo in this community of users
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Candidate Profile:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of technical recruiting experience with a focus on senior engineering roles
  </li>
  <li>
   Ability to understand engineering depth&mdash;you don&rsquo;t need to code, but you should be able to evaluate whether a backend engineer has built for scale, or if a DevOps engineer has automated infra at complexity
  </li>
  <li>
   Track record of closing Staff/Principal-level hires at product or deep-tech companies
  </li>
  <li>
   Ability to assess candidates beyond resumes&mdash;by understanding their technical impact and role fit
  </li>
  <li>
   Excellent storytelling skills to articulate Hevo&rsquo;s vision to top engineers
  </li>
  <li>
   Passion for technology and curiosity to dive into systems design, distributed infra, and cutting-edge data problems
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build the Force that Builds the Future of Data: At Hevo, we&rsquo;re solving one of the hardest problems in data: building a reliable, scalable backbone for modern analytics. Your role is to assemble the team that makes this possible
  </li>
  <li>
   Solve Hard Talent Problems: We&rsquo;re hiring SDE-4 to Principal Engineers in domains where top talent is scarce. You&rsquo;ll lead the challenge of finding and convincing these engineers to join a fast-rising deep-tech product company
  </li>
  <li>
   Partner with Engineering Leadership: You&rsquo;ll work shoulder-to-shoulder with our founders and senior engineering leaders, not only to hire but to influence role design, bar-setting, and long-term team structure
  </li>
  <li>
   Build a Talent Brand in the Data Space: Hevo is competing with companies globally. You&rsquo;ll play a key role in building Hevo&rsquo;s reputation among senior engineers through outreach, positioning, and community presence
  </li>
  <li>
   Mentor TA Function: Coach and develop junior recruiters, embedding technical fluency and systematic hiring practices that will scale with Hevo
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Sr. Tech Recruiter

Deloitte

<p></p><div><div><div><div><div><div><div><div><p><b>Data Analytics Engineer </b><b>&ndash; </b><b>Software Engineer II</b></p><p><b>
Role Overview</b><b>:</b> We are seeking a proactive and solutions-oriented <b>Data Analyst</b> with 2.5&ndash;4 years of hands-on experience in data analytics and applied AI/ML techniques. In this role, you will leverage your strong technical foundation and business acumen to transform complex datasets into meaningful insights that guide decision-making and strategy. You will demonstrate expertise in modern data analytics tools (such as Python, SQL) and show enthusiasm for learning next-generation analytics platforms like Adobe Customer Journey Analytics (CJA). The ideal candidate is passionate about turning data into value, comfortable collaborating across diverse teams, and committed to staying at the forefront of emerging analytics and AI trends. You excel at translating business needs into actionable analysis, communicating findings effectively to technical and non-technical audiences, and driving measurable outcomes through data.</p><p></p><p><b>
Work you will do</b></p><ul><li>
Conduct data analysis and prepare reports to support business decision-making using statistical and machine learning techniques.
</li><li>Utilize Python and/or R, along with AI-powered coding tools such as Cursor AI or GitHub Copilot, to accelerate scripting and enhance analytics workflows.
</li><li>Extract, clean, and transform data from various sources&mdash;applying SQL and data wrangling skills to ensure data quality and readiness for analysis.
</li><li>Collaborate with team members to understand data requirements, ensure alignment to business objectives, and contribute to project deliverables.
</li><li>Participate in requirements gathering and solution workshops with stakeholders and senior analysts.
</li><li>Communicate analytical findings clearly to both technical and non-technical audiences via presentations, dashboards, or written summaries.
</li><li>Demonstrate curiosity and initiative by proactively learning new tools and technologies, such as Adobe Customer Journey Analytics (CJA), Adobe Experience Platform (AEP), and similar digital analytics solutions.
</li><li>Support ongoing enhancements to analytics processes, documentation, and team best practices.
</li><li><ul><li>oriented team culture by sharing knowledge and supporting others.</li></ul></li></ul><p></p><p><b>
Key Responsibilities</b><b>:</b></p><p><b>
Outcome-Driven Accountability: </b>Aligns with: Delivering business outcomes, transforming business needs into analytical solutions, upholding quality in analytics and code as stated in your technical and professional skills.</p><p><b>
Technical Leadership and Advocacy: </b>Aligns with: Supporting technical best practices, code integrity, and active participation in key SDLC phases (requirement analysis, development, testing) in Python/R, SQL, and relevant analytics tasks. Collaboration with senior team members aligns well with the CL3 role.</p><p><b>
Engineering Craftsmanship: </b>Aligns with: Clean code, adherence to standards, data wrangling, preparing documentation, and commitment to best practices. Directly supports your expectations for &ldquo;Programming,&rdquo; &ldquo;Data Wrangling,&rdquo; and &ldquo;AI Coding Assistants&rdquo; skills, and continuous learning.</p><p><b>
Customer-Centric Engineering: </b>Aligns with: Focus on delivering what stakeholders need, rapid prototyping, experimentation, and direct engagement with business/product teams, reflecting &ldquo;Analytical Thinking&rdquo; and &ldquo;Ability to transform business needs into analytical solutions&rdquo;.</p><p><b>
Incremental and Iterative Delivery: </b>Aligns with: Agile methodologies, growth mindset, and continuous improvement. Supports &ldquo;Commitment to continuously improving analytics workflows&rdquo; and your requirement for contributing to maintainable, supportable solutions.</p><p><b>
Cross-Functional Collaboration and Integration: </b>Aligns with: Collaboration, working with diverse teams, and integrating multiple perspectives. Matches &ldquo;Collaboration,&rdquo; &ldquo;Communication,&rdquo; and &ldquo;Working across functions and with diverse teams.&rdquo;</p><p><b>
Advanced Technical Proficiency: </b>Aligns with: Python/R for analytics and ML, SQL, AI coding assistants, adopting new analytics tools like Adobe CJA, and embracing SDLC and Agile practices. Encourages continuous technical improvement per your &ldquo;Willingness to learn&rdquo; and &ldquo;Technical Skills&rdquo; requirements.</p><p><b>
Domain Expertise: </b>Aligns with: Quickly acquiring business-relevant knowledge, understanding data designs, and supporting business use cases with technical solutions. Supports &ldquo;Domain knowledge,&rdquo; &ldquo;Transform business needs into analytical solutions,&rdquo; and related technical skills.</p><p><b>
Effective Communication and Influence: </b>Aligns with: Excellent communication skills, presenting complex ideas to varying audiences (technical/non-technical), and contributing to team and stakeholder discussions.</p><p><b>
Engagement and Collaborative Co-Creation: </b>Aligns with: Building strong team and stakeholder relationships, collaborative mindset, and co-creation of value-driven analytics/workflows&mdash;underpinning &ldquo;Collaboration,&rdquo; &ldquo;Participation in hackathons,&rdquo; and your supportive team culture.</p><p></p><p><b>
The team</b><b>:</b> US Deloitte Technology Product Engineering drives Deloitte&rsquo;s success by delivering innovative analytics and data science solutions through a modern, scalable, and value-focused delivery model. As the firm&rsquo;s premier internal development team, we empower business units and internal operations to make smarter, data-driven decisions by transforming complex business needs into actionable insights and robust digital products. Leveraging advanced analytics tools, machine learning, and a responsive talent structure, our team consistently delivers measurable outcomes that enhance Deloitte&rsquo;s efficiency, effectiveness, and market leadership&mdash;upholding our tradition of excellence and commitment to impactful results.</p><p></p><p><b>
Key Qualifications</b><b>:</b></p><ul><li>
2.5&ndash;4 years of professional experience in data analytics or data science
</li><li>Proficiency in Microsoft Fabric and SAC</li><li>
Proficiency in Python and/or R for analytics and machine learning
</li><li>Strong SQL skills for data querying and transformation
</li><li>Hands-on experience with AI-powered coding tools (e.g., Cursor AI, GitHub Copilot)
</li><li>Excellent communication and collaboration skills
</li><li>Ability to transform business needs into analytical solutions</li></ul><p></p><p><b>
Good to have skills:
</b></p><div><ul><li>Experience with cloud analytics (AWS, Azure, GCP)</li></ul>
</div><p>2. Knowledge on BI tools like Tableau, SAP BOE is preferred</p><div>
<ul><li>Exposure to unstructured data or MLOps</li></ul>
<ul><li>Participation in analytics competitions, hackathons, or holding relevant certifications</li></ul>
<ul><li>Domain knowledge in a relevant business vertical</li></ul>
</div><p></p><p><b>How You will Grow:</b></p><ul><li>
Opportunity to work on impactful analytics projects</li><li>
Support for ongoing professional development and learning new technologies</li><li>
Collaborative environment with experts across analytics and business domains</li></ul></div><br>
<p></p>
</div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><div><div><div><p>Requisition code: 357466</p></div></div></div></div>

Data Analytics Engineer - Software Engineer II

Fractal Analytics

<div><p>It's fun to work in a company where people truly BELIEVE in what they are doing!</p><p></p><p><i>
We're committed to bringing passion and customer focus to the business.</i></p><p></p><div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>
EL3 &ndash; Databricks MLOps Engineer (Contract)</b></h1><p><b>
Domain:</b> Claims Payment Integrity | M&amp;R, C&amp;S, E&amp;I Claims (preferred)<br>
<b>Actuarial &amp; Forecasting Analytics Exposure is an Added Advantage</b><br>
<b>Tech Stack:</b> Databricks, Spark, Python, Scala, Azure, GitHub Actions, Terraform<br>
<b>AI/LLM Capabilities:</b> Embedding Models, LLM Integration, LangChain Agentic Frameworks</p><h2 class="jobSectionHeader"><b>
Role Summary</b></h2><p>
The EL3 Databricks MLOps Engineer is a senior hands-on role responsible for enabling <b>end-to-end machine learning lifecycle automation</b> on Databricks. This includes building and maintaining the CI/CD infrastructure, environment configuration, packaging and deploying ML models, supporting reproducible experiments, and ensuring scalable job orchestration for AI/ML workloads, including LLM-based applications.</p><p>
The role partners closely with Data Scientists, AI/ML Engineers, platform teams, and business stakeholders within <b>Claims Payment Integrity</b> to ensure robust, reliable, and automated ML delivery.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Enable and automate the <b>end-to-end ML lifecycle</b> on Databricks (environment setup, model workflow automation, job scheduling, monitoring hooks).</p></li><li><p>
Build frameworks, templates, and utilities that make ML development and experimentation reproducible and scalable.</p></li><li><p>
Implement CI/CD pipelines using Git, GitHub Actions, Jenkins, Azure DevOps, or similar tools.</p></li><li><p>
Package, version, and deploy ML models into Databricks-managed execution environments.</p></li><li><p>
Set up automated workflows for training, retraining, evaluation, and scheduled job execution.</p></li><li><p>
Support creation and integration of <b>machine learning models</b> including classification, forecasting, anomaly detection, NLP, and PI models.</p></li><li><p>
Enable LLM/GenAI-driven solutions by integrating:</p><ul><li><p><b>
Embedding model generation</b></p></li><li><p><b>
RAG architectures</b></p></li><li><p><b>
Vector databases</b></p></li><li><p><b>
LangChain agentic workflows</b></p></li></ul></li><li><p>
Optimize resource usage, runtime configurations, and code execution patterns for ML workloads.</p></li><li><p>
Collaborate with Data Scientists to translate experimental notebooks into production-ready pipelines.</p></li><li><p>
Implement platform-level controls for environment consistency, dependency management, access control, and model versioning.</p></li><li><p>
Support troubleshooting, debugging, and performance improvements for ML workloads.</p></li><li><p>
Document standards, templates, guidelines, and best practices for MLOps teams.</p></li><li><p>
Work cross-functionally with product, engineering, and analytics teams across PI.</p></li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li><p>
Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Engineering, or related field</p></li><li><p><b>
6&ndash;9 years</b> of relevant experience in ML Engineering, MLOps, or platform engineering</p></li><li><p>
Strong hands-on experience with <b>Databricks</b>, Spark (batch/streaming), Python, Scala</p></li><li><p>
Experience enabling ML lifecycle tools such as MLflow (tracking, packaging, model registration)</p></li><li><p>
Strong CI/CD experience using Git, GitHub Actions, Jenkins, or Azure DevOps</p></li><li><p>
Experience deploying AI/ML models into cloud environments (Azure preferred)</p></li><li><p>
Ability to create and integrate <b>embedding models</b>, semantic vectors, and LLM-driven components</p></li><li><p>
Experience with <b>LangChain</b> for agentic workflows and integration of tools/functions</p></li><li><p>
Strong problem-solving, debugging, and collaboration skills</p></li></ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
Experience with Azure OpenAI or OpenAI-compatible LLM APIs</p></li><li><p>
Familiarity with healthcare claims workflows, PI, FWA, provider billing, or pricing</p></li><li><p>
Experience in Agile/Scrum environments</p></li><li><p>
Strong understanding of software engineering best practices, packaging, dependency management</p></li></ul><h2 class="jobSectionHeader"><b>
Good-to-Have Data Knowledge</b></h2><ul><li><p><b>
Call Center datasets</b> (member &amp; provider interactions)</p></li><li><p><b>
Provider RCM datasets</b> (billing, coding, authorizations)</p></li><li><p><b>
EHR/clinical datasets</b> for cross-domain validation</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</p><p></p><h3 class="jobSectionHeader"><b>
Hiring Related Queries</b></h3><p>
India: HiringsupportIndia@fractal.ai</p><p>
Outside India: HiringsupportROW@fractal.ai</p><p>
This inbox does not process resume submissions. All applications must be made through posted job openings</p><p></p><p>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</p></div>

MLOps Engineer

ThoughtFocus

<div><h1 class="jobSectionHeader"><b>Lead Software Engineer (Agentic AI &amp; Strong Programming) 6-8 Years</b></h1>
<h2 class="jobSectionHeader"><b>Role Overview</b></h2>
<div>We are looking for an AI Engineer with strong programming fundamentals and hands-on experience in Agentic AI development. The ideal candidate should be language-agnostic and capable of working across multiple technologies, with expertise in any of the following programming languages: Python, Java, C#, or C++.</div>
<div>This role requires solid experience in system design, OOP principles, REST API development, and building scalable AI-driven applications.</div>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design and develop AI agent-based systems and workflows</li>
<li>Build scalable backend services and REST APIs</li>
<li>Apply OOP principles and design patterns in production systems</li>
<li>Integrate LLMs and AI capabilities into applications</li>
<li>Solve complex technical problems</li>
<li>Work across multiple programming languages when required</li>
<li>Collaborate with cross-functional teams</li>
<li>Containerize applications using Docker and support deployments</li>
<li>Contribute to architecture and technical design decisions</li><br>
</ul><div></div><br>
<h2 class="jobSectionHeader"><b>Required Skills (Must Have)</b></h2>
<ul><li>Strong programming skills in any of the following: Python, Java, C#, or C++</li>
<li>Strong understanding of Object-Oriented Programming (OOP)</li>
<li>Good knowledge of Design Patterns</li>
<li>Strong problem-solving skills</li>
<li>Hands-on experience building REST APIs</li>
<li>Experience with AI Agent / LLM-based development</li>
<li>Experience with LangChain, LangGraph, or similar AI agent frameworks</li>
<li>Experience building RAG (Retrieval-Augmented Generation) systems</li>
<li>Experience with AI-assisted coding / coding with AI tools</li>
<li>Ability to effectively leverage AI tools for development productivity</li>
<li>Exposure to Cloud platforms (AWS / Azure / GCP)</li>
<li>Experience with Docker</li>
<li>Ability to learn and adapt to new technologies quickly</li><br>
</ul><div></div><br>
<h2 class="jobSectionHeader"><b>Preferred (Good to Have)</b></h2>
<ul><li>Understanding of Data Structures &amp; Algorithms</li>
<li>Kubernetes exposure</li>
<li>Microservices architecture experience</li>
<li>Experience building scalable distributed systems</li>
<li>CI/CD pipeline experience</li><br>
</ul><div></div><br>
<h2 class="jobSectionHeader"><b>Ideal Candidate</b></h2>
<ul><li>Strong in engineering fundamentals</li>
<li>Language-agnostic developer</li>
<li>Comfortable working on new technologies</li>
<li>Eager to learn and adapt quickly</li>
<li>Strong analytical and logical thinking</li>
<li>Can contribute to architecture discussions</li></ul></div>

Lead Engineer

Aliqan Technologies

<p>Job Description &ndash; GenAI Engineer</p><p><b>Position:</b> GenAI Engineer<br/><b>Experience:</b> 5.5 &ndash; 9 Years<br/><b>Location:</b> Mumbai, Bangalore, Gurugram, Chennai<br/><b>Work Mode:</b> Hybrid (3 Days Work From Office &ndash; Mandatory)<br/><b>Work Location:</b> Candidate must be willing to work from the client location.<br/><b>CTC:</b> Up to ₹36 LPA</p><p>About the Role</p><p>We are looking for an experienced <b>GenAI Engineer</b> with strong expertise in <b>Large Language Models (LLMs), Generative AI, NLP, Computer Vision, and cloud technologies</b>. The ideal candidate should be capable of designing and developing end-to-end AI-powered solutions while working closely with cross-functional teams to build scalable, production-ready applications.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy advanced solutions using Large Language Models (LLMs).</li><li>Take complete ownership of end-to-end solution development from design to deployment.</li><li>Research and stay updated with the latest advancements in Generative AI, LLMs, and AI frameworks.</li><li>Develop reusable code libraries, frameworks, and tools for AI application development.</li><li>Participate in code reviews and ensure adherence to coding standards and best practices.</li><li>Contribute across the complete Software Development Life Cycle (SDLC), including design, development, testing, deployment, and maintenance.</li><li>Collaborate with product managers, engineering teams, and stakeholders to integrate AI solutions into enterprise applications.</li><li>Analyze business problems and translate them into scalable AI-driven solutions.</li><li>Troubleshoot, optimize, and improve AI models and application performance.</li><li>Communicate effectively with technical and non-technical stakeholders.</li></ul><p>Required Skills1. Natural Language Processing (NLP)</p><p>Hands-on experience in one or more of the following:</p><ul><li>Use case classification</li><li>Topic modeling</li><li>Question Answering (Q&amp;A)</li><li>Chatbots</li><li>Enterprise Search</li><li>Document AI</li><li>Text Summarization</li><li>Content Generation</li></ul><p><b>OR</b></p><p>2. Computer Vision &amp; Audio AI</p><p>Hands-on experience in:</p><ul><li>Image classification</li><li>Object detection</li><li>Image segmentation</li><li>Image generation</li><li>Audio analysis</li><li>Video analysis</li></ul><p>Generative AI &amp; LLMsSaaS LLM Platforms</p><p>Experience with:</p><ul><li>LangChain</li><li>LlamaIndex</li><li>Vector Databases</li><li>Prompt Engineering (Chain of Thought, Tree of Thought, ReAct, AI Agents)</li><li>Azure OpenAI</li><li>Google Vertex AI</li><li>AWS Bedrock</li><li>Multi-modal AI (Text, Audio, Image, Video)</li></ul><p>Open Source LLMs</p><p>Knowledge of:</p><ul><li>Hugging Face</li><li>TensorFlow</li><li>PyTorch</li><li>LLM Fine-tuning (PEFT)</li><li>RLHF (Reinforcement Learning from Human Feedback)</li><li>Quantization</li><li>Data Annotation Workflows</li><li>GPU Utilization and Optimization</li></ul><p>Cloud Technologies</p><p>Hands-on experience with one or more cloud platforms:</p><ul><li>Microsoft Azure</li><li>Amazon Web Services (AWS)</li><li>Google Cloud Platform (GCP)</li></ul><p><b>Preferred:</b></p><ul><li>Cloud Certification (Azure/AWS/GCP)</li></ul><p>Application Development Skills</p><p>Strong experience in:</p><ul><li>Python</li><li>Docker</li><li>FastAPI / Django / Flask</li><li>Git &amp; Version Control</li><li>REST APIs</li><li>Microservices Architecture</li></ul><p>Required Qualifications</p><ul><li>5.5&ndash;9 years of overall software development experience.</li><li>Strong experience in Generative AI and LLM-based application development.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and take ownership of projects.</li><li>Experience building scalable, production-ready AI applications.</li></ul><p>Preferred Skills</p><ul><li>Experience with RAG (Retrieval-Augmented Generation) architectures.</li><li>Knowledge of Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus, etc.).</li><li>Experience deploying AI applications on cloud platforms.</li><li>Exposure to MLOps and CI/CD pipelines.</li><li>Experience with AI Agents and Agentic AI frameworks.</li></ul><p>Pay: ₹2,500,000.00 - ₹3,600,000.00 per year</p><p>Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka</p>

Generative AI Engineer

Signify

<div></div><div>Pune, India Category Research &amp; Development Posted Date 06/29/2026 Job Id 365249</div>
<br><div><p><b>About Signify</b></p><br>
<br>
<p>Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.</p><br>
<br>
<p>At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.</p><br>
<br>
<p>Join us, and together, we&rsquo;ll transform our industry, making a lasting difference for brighter lives and a better world.</p><br>
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<p><b>More about the role</b></p><br>
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<p>We are Signify, the new company name of Philips Lighting.</p>
<p>We&rsquo;re the world leader in lighting for professionals, consumers and for the Internet of Things. Our passion for sustainability makes us one of the top 10 greenest companies in the world.</p>
<p></p><p>See #SignifyLife through the eyes of our employees!</p>
<p></p><p>Working as an Optical Engineer at Signify is dynamic. You&lsquo;ll be working closely with local and global engineering teams who are a highly experienced and quality driven. We&rsquo;re greater together through peer learning in our globally diverse team, with different backgrounds and nationalities.</p>
<p></p><p>We&rsquo;re looking for an optical engineer who will be responsible for ensuring successful conclusion of all phases of assigned standard engineering projects, within an appropriate time. Investigates and troubleshoots problems and requirements of projects as well as develops plans for solutions. This position coordinates with other departments on assigned tasks and secures and reviews inputs from various stakeholders and make recommendations accordingly. Provides data for team-level measures. They may also act as technical leaders for small projects.</p>
<p></p><p><b>What you&rsquo;ll do</b></p>
<p></p><ul><li>Create basic optical designs using refractive or reflective principles.</li>
<li>Analyze photometric information in application software.</li>
<li>Generate primary three-dimensional CAD parts</li>
<li>Create appropriate test requests to document product performance using basic understanding of photometric principles.</li>
<li>Review test data for accuracy and completeness</li>
<li>Demonstrate aptitude to learn corporate process</li>
<li>Contribute creative solutions to optical and photometric challenges</li>
</ul><p></p><p><i>Working at Signify: </i><i>https://www.youtube.com/watch?v=9Jbz6E1QQ2o&amp;list=PLj9hU1O4UB00pjCsPYKv5TXJVQvcHhKGB&amp;index=3</i></p>
<p></p><p><b>What you&rsquo;ll need</b></p>
<p></p><ul><li>Bachelor&rsquo;s Degree in Optical Engineering/Physics/ Illumination Engineering/ or Electronics / Electronics and Communication / Electrical Engineering.</li>
<li>3-5 years of experience in design of optical systems /optical engineering focusing on applications of optics.</li>
<li>Knowledge of non-imaging&quot; optical engineering experience (optical light guides, non-imaging reflectors, non-imaging lenses etc.) which deals with controlling the distribution of light.</li>
<li>Experience/knowledge of optical design for LED lights and luminaires.</li>
<li>Experience/knowledge of illumination engineering with more compact optics color mixing capabilities and understanding of tolerance to variations in the relative position of light source and optics.</li>
<li>Ability to work independently as well as a team member</li>
<li>Computer skills: knowledge of Microsoft Office 365.</li>
</ul><p></p><p><b>What you&rsquo;ll get in return&hellip;</b></p>
<p></p><ul><li>Learning while working with colleagues with strong product and technical knowledge</li>
<li>Competitive salary depending on experience</li>
<li>Extensive set of tools to drive your career, such as a personalized learning platform, free training and coaching</li>
<li>Opportunity to buy Signify products with discount</li><br>
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<p><b>Everything we&rsquo;ll do for you</b></p><br>
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<p>You can grow a lasting career here. We&rsquo;ll encourage you, support you, and challenge you. We&rsquo;ll help you learn and progress in a way that&rsquo;s right for you, with coaching and mentoring along the way. We&rsquo;ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.</p><br>
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<p>Come join us, and together we can light up the future.</p></div><p></p>

Engineer - Optics

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