generative ai developer

Genpact

<p></p><div><div><div><div><div><b><i>Ready to build the future with AI?</i></b></div></div><div><div><b><i>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s </i></b><b><i>AI Gigafactory</i></b><b><i>, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to </i></b><b><i>agentic AI</i></b><b><i>, our breakthrough solutions tackle companies&rsquo; most complex challenges.</i></b></div></div><div><div><b><i>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.</i></b></div></div><div><div><b><i>
Genpact (NYSE: G) is an</i></b><b><i> </i></b><b><i>advanced technology services and solutions company that delivers</i></b><b><i> </i></b><b><i>lasting</i></b><b><i> </i></b><b><i>value for leading enterprises</i></b><b><i> </i></b><b><i>globally.</i></b><b><i> </i></b><b><i>Through our</i></b><b><i> </i></b><b><i>deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead.</i></b><b><i> </i></b><b><i>Powered by curiosity, courage, and innovation</i></b><b><i>,</i></b><b><i> </i></b><b><i>our teams</i></b><b><i> </i></b><b><i>implement</i></b><b><i> </i></b><b><i>data, technology, and AI</i></b><b><i> </i></b><b><i>to</i></b><b><i> </i></b><b><i>create tomorrow, today.</i></b><b><i> </i></b><b><i>Get to know us at</i></b><b><i> </i></b><b><i>genpact.com</i></b><b><i> </i></b><b><i>and on</i></b><b><i> </i></b><b><i>LinkedIn</i></b><b><i>,</i></b><b><i> </i></b><b><i>X</i></b><b><i>,</i></b><b><i> </i></b><b><i>YouTube</i></b><b><i>, and</i></b><b><i> </i></b><b><i>Facebook</i></b><b><i>.</i></b></div></div><div><div><b>
Inviting applications for the role of </b><b>Principal Consultant, Generative AI &ndash; Full Stack Developer!</b></div></div><div><div><b>
In this role, we are seeking a seasoned Full-Stack Developer with strong hands-on experience in cloud-native environments (Azure / AWS) and container orchestration (Kubernetes / Docker), proficient in Python (</b><b>FastAPI</b><b>) and modern front-end frameworks (React / Next.js). The ideal candidate will have designed and implemented scalable backend infrastructures, REST/async APIs, database and caching layers, CI/CD pipelines, and infrastructure-as-code, and must bring recent experience in building agentic AI or generative AI platforms &mdash; including multi-agent orchestration, vector databases (e.g. Pinecone, FAISS), RAG/semantic-search pipelines, prompt engineering, LLM function-calling, and secure production deployment. Excellent communication skills, cloud architecture understanding, and prior end-to-end delivery of AI-driven applications in enterprise or startup contexts are required.</b></div></div><div><div><b>
Responsibilities</b></div></div><div><ul><div><div><b>
Architect and implement advanced generative AI models, focusing on applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation.</b></div></div></ul></div><div><ul><div><div><b>
Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team.</b></div></div></ul></div><div><ul><div><div><b>
Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives. Firm grasp on tools to compare outputs of each model and compare against each other.</b></div></div></ul></div><div><ul><div><div><b>
Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency.</b></div></div></ul></div><div><ul><div><div><b>
Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives.</b></div></div></ul></div><div><ul><div><div><b>
Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements.</b></div></div></ul></div><div></div><div><div><b><br>
Qualifications we seek in you!</b></div></div><div><div><b>
Minimum Qualifications</b></div></div><div><ul><div><div><b>
Bachelor&rsquo;s or Master&rsquo;s</b><b> degree in computer science, AI, Machine Learning, Data Science, or a related field, with relevant years of experience in AI/ML, particularly with generative AI models.</b></div></div></ul></div><div><ul><div><div><b>
Strong expertise in developing and deploying generative AI models.</b></div></div></ul></div><div><ul><div><div><b>
Proficient in Python (</b><b>FastAPI</b><b>) and modern front-end frameworks (React / Next.js).</b></div></div></ul></div><div><ul><div><div><b>
Experience with AI development libraries such as TensorFlow and </b><b>PyTorch</b><b>. Experience with Azure OpenAI, Open Source LLMs, and </b><b>LangChain</b><b>.</b></div></div></ul></div></div><div><div><ul><div><div><b>
Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models.</b></div></div></ul></div><div><ul><div><div><b>
Designed and implemented scalable backend infrastructures, REST/async APIs, database and caching layers, CI/CD pipelines, and infrastructure-as-code, and must bring recent experience in building agentic AI or generative AI platforms &mdash; including multi-agent orchestration, vector databases (e.g. Pinecone, FAISS), RAG/semantic-search pipelines, prompt engineering, LLM function-calling, and secure production deployment.</b></div></div></ul></div><div><ul><div><div><b>
Excellent communication skills, cloud architecture understanding, and prior end-to-end delivery of AI-driven applications in enterprise or startup contexts are required.</b></div></div></ul></div><div></div><div><div><b><br>
Preferred Qualifications/ Skills</b></div></div><div><ul><div><div><b>
Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning.</b></div></div></ul></div><div><ul><div><div><b>
Familiarity with NLP or computer vision related to generative AI applications.</b></div></div></ul></div><div></div><div><div><b><i><br>
Why join Genpact?</i></b></div></div><div><ul><div><div><b><i>
Lead AI-first transformation</i></b><b><i> &ndash; Build and scale AI solutions that redefine industries</i></b></div></div></ul></div><div><ul><div><div><b><i>
Make an impact</i></b><b><i> &ndash; Drive change for global enterprises and solve business challenges that matter</i></b></div></div></ul></div><div><ul><div><div><b><i>
Accelerate your career</i></b><b><i>&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</i></b></div></div></ul></div><div><ul><div><div><b><i>
Grow with the best</i></b><b><i> &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</i></b></div></div></ul></div><div><ul><div><div><b><i>
Committed to ethical AI</i></b><b><i> &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</i></b></div></div></ul></div><div><ul><div><div><b><i>
Thrive in a values-driven culture</i></b><b><i> &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</i></b></div></div></ul></div><div><div><b><i>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.</i></b></div></div><div><div><b><i>
Let&rsquo;s build tomorrow together.</i></b></div></div><div></div><div><div><b><i><br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, </i></b><b><i>color</i></b><b><i>, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.</i></b><br>
<b><i>Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</i></b></div></div></div></div><p></p><p><br>
JobPrincipal Consultant</p><p>
Primary LocationIndia-Noida</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingDec 17, 2025, 3:57:29 AM</p><p>
Unposting DateJan 16, 2026, 12:29:00 PM</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Principal Consultant, Generative AI – Full Stack Developer

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><p>
Strong understanding of AI/ML development concepts and syntax Experience in developing and debugging AI/ML applications Familiarity with version control systems like Git Knowledge of networking and operating system concepts</p><p>
Core SkillsStrong experience in developing and optimizing large-scale, complex AI/ML applications Expertise in advanced AI/ML concepts like natural language processing, computer vision, etc. Experience in performance optimization and scalability of AI/ML applications Familiarity with serverless architecture and cloud-based development Experience in leading teams of AI/ML developers and providing technical guidance.Core SkillsKey Responsibilities ? Solution Architecture &amp;amp; Development o Lead the end-to-end development of GenAI solutions, from ideation to production deployment. o Architect and implement scalable GenAI applications using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or equivalent. o Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware conversational AI. ? Technical Leadership o Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical excellence. o Define coding standards, best practices, and DevOps/MLOps pipelines for model training, fine-tuning, and deployment. o Collaborate with data scientists to optimize models for performance, cost, and accuracy. ? Stakeholder Collaboration o Partner with product managers, business leaders, and domain experts to identify high-value GenAI use cases. o Present technical roadmaps, proof-of-concepts, and solution demos to senior leadership and clients. ? Governance &amp;amp; Security o Implement robust data governance, privacy, and compliance controls (e.g., PII masking, GDPR) for AI-driven applications. o Ensure adherence to ethical AI principles and responsible use of Generative AI technologies. Required Skills &amp;amp; Experience ? Technical Expertise o 10+ years of overall IT/Software development experience, with at least 3+ years focused on Generative AI, LLMs, or advanced AI/ML. o Proficiency in Python, Node.js, or equivalent languages for AI solution development. o Hands-on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models, and RAG pipelines. o Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerized deployments (Docker, Kubernetes). o Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration. ? Leadership &amp;amp; Delivery o Proven track record of leading cross-functional development teams to deliver enterprise-scale AI products. o Experience with Agile/Scrum methodologies and project management tools (Jira, Azure DevOps). ? Domain Knowledge o Exposure to industries like retail, finance, healthcare, or QSR (preferred). o Understanding of data governance, security, and compliance in AI/ML applications. Preferred Qualifications ? Experience integrating GenAI with Power Platform (Power Automate, Copilot Studio) or enterprise SaaS ecosystems. ? Knowledge of MLOps and AI model monitoring frameworks. ? Certifications in AI/ML, Azure AI Engineer, or OpenAI/LangChain (a plus). ? Contributions to open-source AI projects or AI research publications. Key Attributes ? Strategic thinker with strong problem-solving and analytical skills. ? Excellent communication skills to engage both technical and non-technical stakeholders. ? Passion for emerging AI trends and the ability to rapidly learn new technologies.</p></div>
<p>EXPERIENCE</p>
<ul><div>2-3 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: AI/ML Development</div>
<div>Sub Skill(s): AI/ML Development
</div><div>Additional Skill(s): TensorFlow</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

AI / ML Developer (Associate)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you enjoy diving deep into Generative AI, solving complex problems, and sharing technical insights with fellow developers? Are you excited to explore how Generative AI will transform how software is designed, implemented, and deployed? If so, then this might be your dream job.<br>
Amazon Web Services (AWS) is seeking a Developer Advocate (DA) focusing on Generative AI to join the Developer Experience team in Bangalore, India. You'll be at the forefront of educating and enabling developers to harness the power of Generative AI on AWS.<br>
<br>
Key job responsibilities<br>
<ul><li>As a Developer Advocate on Generative AI, you'll be a technical thought leader in leveraging AI-powered tools for software development. You'll create and present technical content on integrating Generative AI into everyday coding practices, including in-depth tutorials, thought leadership articles on best practices and code samples.</li><li>Your expertise in both traditional software development and Generative AI technologies will position you as a go-to expert for developers seeking guidance on enhancing their development processes with AI. You'll mentor other developers, helping them effectively integrate Generative AI tools into their workflows.</li><li>You'll inform AWS product roadmaps with insights from real-world developer experiences and challenges in adopting Generative AI tools. You'll participate in early-stage product ideation for developer tools and services, bringing the voice of practical software developers to the table.</li><li>You'll support Developer Relations activities across the region, focusing on how Generative AI can solve common development challenges and improve overall productivity.</li></ul><br>
A day in the life<br>
Your day might start with a team standup, aligning on current projects. You could spend the morning preparing for an upcoming workshop on how to use Amazon Q for code generation, refactoring and automated testing. In the afternoon, you might spend time answering questions on Stack Overflow about integrating AWS Generative AI services into everyday software development tasks. Your day might conclude with some experimental coding, investigating ways to combine these AI-powered tools with traditional software development practices to create more efficient development workflows.<br>
<br>
Want to learn more about life as an AWS Developer Advocate? Check out this video: https://www.youtube.com/watch?v=xddeWeNEVkg<br>
<br>
About the team<br>
The Developer Experience team's mission is to explore the future of development so that we can help developers navigate a path to that future. Our goal is to inspire developers around the world. We show them how to practically use new technologies to build efficiently in the cloud. We show them new things they are now able to achieve, both in tackling more complex cloud problems and building new solutions that leverage generative AI. We earn trust with developers by being authentic, and by being practitioners ourselves. We are on an exciting journey together, and not everything is solved yet.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience</li><li>12+ years in Software Development and Cloud Computing building performant and scalable applications</li><li>Experience working with generative AI models, including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF).</li><li>Excellent communication and public speaking skills, with experience delivering technical content to developers of varied backgrounds.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven experience developing applications using generative AI tools and foundational models, including prototypes and production-ready solutions.</li><li>Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem.</li><li>Experience with AWS AI/ML services such as Amazon Bedrock, and understanding of how to integrate these services into generative AI workflows.</li><li>Demonstrable experience engaging with developer communities, including creating technical content, public speaking, or active participation on platforms like GitHub, Stack Overflow, or developer forums.</li><li>Willingness to travel as required.</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Developer Advocate, GenAI, AWS Developer Experience

<div></div><div><div><div><div><ul><div>5 - 7 Years</div>
<div></div><div>3 Openings</div>
 <div>Hyderabad</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>J</b></p>
<h3 class="jobSectionHeader"><b>
Job Description: Full Stack Developer (ITSM)</b></h3>
<p>
We are looking for a Full Stack Developer who has experience working with <b>IT Service Management (ITSM)</b> systems. In this role, you will build user-friendly web interfaces, develop back-end services, and connect front-end and back-end systems so they work smoothly together. You should also have a basic understanding of <b>Generative AI (GenAI)</b> and how it can be used in ITSM applications.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<p><b>
Front-End Development</b></p>
<ul>
<li><p>Design and build web user interfaces using <b>React, JavaScript, and Node.js</b></p>
</li>
<li><p>Make sure the application is responsive, easy to use, and supports ITSM workflows</p>
</li>
</ul><p><b>Back-End Development</b></p>
<ul>
<li><p>Develop and maintain server-side logic using <b>Node.js, Python, Java, or PHP</b></p>
</li>
<li><p>Handle database operations and ensure data is stored and retrieved efficiently</p>
</li>
</ul><p><b>Middleware Development</b></p>
<ul>
<li><p>Build and integrate middleware components to connect front-end and back-end systems</p>
</li>
<li><p>Ensure smooth and secure data flow across the application</p>
</li>
</ul><p><b>Generative AI Awareness</b></p>
<ul>
<li><p>Stay up to date with <b>Generative AI</b> technologies</p>
</li>
<li><p>Use GenAI ideas to improve ITSM features and automation where possible</p>
</li>
</ul><p><b>Collaboration</b></p>
<ul>
<li><p>Work closely with ITSM experts, designers, product managers, and developers</p>
</li>
<li><p>Participate in code reviews and help improve code quality</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications</b></h3>
<ul>
<li><p>Bachelor&rsquo;s degree in <b>Computer Science, Engineering, or a related field</b></p>
</li>
<li><p>Experience as a <b>Full Stack Developer</b>, preferably in ITSM-related projects</p>
</li>
<li><p>Strong skills in <b>React, JavaScript, and Node.js</b></p>
</li>
<li><p>Experience with back-end development using <b>Node.js, Python, Java, or PHP</b></p>
</li>
<li><p>Understanding of database management in ITSM systems</p>
</li>
<li><p>Good problem-solving skills and attention to detail</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3>
<ul>
<li><p>Experience with <b>Generative AI (GenAI)</b></p>
</li>
<li><p>Knowledge of ITSM tools such as <b>ServiceNow, BMC Remedy, or Cherwell</b></p>
</li>
<li><p>Good communication and teamwork skills</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>reactjs,node.js,react,itsm,</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Lead I - Software Eng(Full Stack Dev(ITSM) - Front end:React, JavaScript, Backend:Node.js, Pytho

Cognizant Technology Solutions

<div><div>Role &ndash;Python Developer<br>
Location: AIA-Pune<br>
Exp: 6 to 9 years</div><p><b>
Job Summary</b></p><p>
We are seeking a skilled Developer with 6 to 8 years of experience to join our team. The ideal candidate will have expertise in Generative AI Azure Databricks Azure Data Factory and Azure ML Studio. This role involves working in a hybrid model focusing on AI and ML concepts and contributing to innovative projects that drive our companys success. The position does not require travel and operates during the day shift.</p><p><br>
</p><p><b>Responsibilities</b></p><ul><li>
Develop and implement advanced AI and ML models using Generative AI and Azure ML Studio to enhance business processes and decision-making.</li><li>
Collaborate with cross-functional teams to design and deploy scalable solutions on Azure Databricks and Azure Data Factory.</li><li>
Utilize ML Ops to streamline machine learning workflows ensuring efficient model deployment and monitoring.</li><li>
Leverage Docker for containerization to ensure consistent and reliable application deployment across environments.</li><li>
Apply AI and ML concepts to solve complex business challenges and improve operational efficiency.</li><li>
Integrate Terraform for infrastructure as code to automate and manage cloud resources effectively.</li><li>
Utilize GIT for version control to maintain code integrity and facilitate collaborative development.</li><li>
Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.</li><li>
Provide technical expertise and guidance to junior developers fostering a culture of continuous learning and improvement.</li><li>
Stay updated with the latest advancements in AI and ML technologies to drive innovation within the team.</li><li>
Document processes and methodologies to ensure knowledge sharing and maintain project transparency.</li><li>
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.</li><li>
Contribute to the companys mission by developing AI-driven solutions that have a positive impact on society.</li></ul><p><br>
</p><p><b>Qualifications</b></p><ul><li>
Possess strong experience in Generative AI Azure Databricks and Azure Data Factory.</li><li>
Demonstrate proficiency in Azure ML Studio and ML Ops for efficient model management.</li><li>
Have a solid understanding of AI and ML concepts with practical experience in machine learning and artificial intelligence.</li><li>
Experience with Docker for application containerization and deployment.</li><li>
Familiarity with Terraform for managing cloud infrastructure.</li><li>
Proficient in using GIT for version control and collaborative development.</li><li>
Strong problem-solving skills and the ability to work effectively in a hybrid work model.</li></ul></div>

Python Developer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>TCS Invited Applicants
</div><div>Role : Gen AI Developer
</div><div>Experience : 6- 15 Years
</div><div>Location : Hyderabad</div><br>
<div><br>
</div><div>Design, develop, and implement generative AI models using techniques like transformers, GANs, and VAEs. This includes using frameworks like Langchain.</div><br>
<div><br>
</div><div>Manage and process large datasets, including preprocessing and augmentation, to train and improve models.</div><br>
<div><br>
</div><div>Deploy models into production environments, optimize performance through techniques like hyperparameter tuning, and ensure scalability and efficiency.</div><br>
<div><br>
</div><div>Design and implement the architecture for AI systems, ensuring they are scalable, reliable, and efficient.</div><br>
<div><br>
</div></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>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>386765</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER APPLICATION, BACHELOR OF COMPUTER SCIENCE, BACHELOR OF ENGINEERING</div></div></div><div></div>

Gen AI Developer

Nizzcorp

<p>Job Description: AI &amp; Machine Learning Trainer Intern</p><p>Position: Trainer Intern &ndash; Artificial Intelligence, Machine Learning &amp; Generative AI</p><p>Organization: NizzCorp</p><p>Location: Malappuram, Kerala (On-site/Hybrid, as applicable)</p><p>Duration: 3 Months</p><p>Reporting To: Program Manager / Lead Trainer</p><p>About the Role:</p><p>The AI, ML &amp; Generative AI Trainer Intern will support training delivery, content creation, and project guidance across Artificial Intelligence, Machine Learning, Deep Learning, and modern GenAI technologies.</p><p>This role is especially suitable for Master&rsquo;s graduates and Professionals (MSc/M.Tech/B.Tech) who want hands-on teaching experience and exposure to cutting-edge AI tools, including Large Language Models (LLMs), LangChain, RAG pipelines,Fine Tuning, and prompt engineering.</p><p>Key Responsibilities</p><p>1. Training &amp; Facilitation</p><p>Assist in delivering sessions on Python, Machine Learning, Deep Learning, LLMs, and Generative AI.</p><p>Support practical labs involving model building, fine-tuning, and deployment workflows.</p><p>Conduct doubt-clearing, hands-on demos, and individualized learning support.</p><p>2. GenAI &amp; LLM Tools Hands-on</p><p>Introduce students to LLMs (GPT, Llama, Mistral, etc.), prompt engineering, embeddings, and vector databases.</p><p>Assist in teaching frameworks like LangChain, LlamaIndex, HuggingFace Transformers, and RAG implementation.</p><p>Help students run GenAI projects such as chatbots, AI assistants, and automation tools.</p><p>3. Content &amp; Curriculum Development</p><p>Develop course content, slides, assessments, and GenAI project templates.</p><p>Create code examples for ML algorithms, LLM applications, LangChain workflows, and dataset pipelines.</p><p>Update the curriculum based on the latest advancements in AI and GenAI ecosystems.</p><p>4. Project Guidance</p><p>Mentor students in building ML and AI applications including:</p><p>ML prediction systems</p><p>Deep learning models</p><p>LLM-powered chatbots</p><p>RAG systems</p><p>Automation tools using LangChain</p><p>Review and troubleshoot project submissions.</p><p>5. Research &amp; Tools Exploration</p><p>Explore and demonstrate new AI tools such as:</p><p>HuggingFace, OpenAI APIs</p><p>Vector stores (FAISS, Pinecone, Chroma)</p><p>Model monitoring, dataset curation tools</p><p>Prepare short demos or applied use cases for training sessions.</p><p>6. Academic Support &amp; Coordination</p><p>Assist in assessments, student progress tracking, and classroom coordination.</p><p>Work with the program manager and trainers for smooth program execution.</p><p>Maintain a supportive and engaging learning environment.</p><p>Required Skills &amp; Knowledge</p><p>Technical Skills</p><p>Strong Python programming foundation.</p><p>Understanding of Machine Learning algorithms and pipelines.</p><p>Familiarity with NumPy, Pandas, Matplotlib, Scikit-learn.</p><p>Basic knowledge of Deep Learning frameworks (TensorFlow/Keras/PyTorch).</p><p>Exposure to LLMs, ChatGPT API, LangChain, HuggingFace, or vector databases.</p><p>Understanding of RAG, embeddings, tokenization, and model fine-tuning is a plus.</p><p>Soft Skills</p><p>Excellent communication and presentation skills.</p><p>Ability to simplify complex technical concepts.</p><p>Good mentoring attitude, patience, and teamwork.</p><p>Strong learning mindset and adaptability.</p><p>Eligibility</p><p>Master&rsquo;s graduates or Professionals preferred:</p><p>MSc (CS/AI/Data Science)</p><p>M.Tech (CSE/AI/Data Science/Maths/Physics)</p><p>Bachelor&rsquo;s graduates: B.Tech (CSE/IT/AI/DS) or equivalent can also apply.</p><p>Candidates with ML/GenAI projects, GitHub portfolios, or research exposure will be prioritized.</p><p>What You Will Gain</p><p>Hands-on training experience in AI, ML, DL, and Generative AI.</p><p>Deep exposure to practical LLM workflows, LangChain applications, and GenAI development.</p><p>Opportunity to assist real student projects and academic processes.</p><p>Internship certificate upon successful completion.</p><p>Faster pathway to roles like AI Trainer, ML Engineer, or GenAI Developer.</p><p>Job Type: Internship<br/>Contract length: 3 months</p><p>Work Location: In person</p>

AI & Machine learning trainer intern

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