senior ai engineer

Cubitrek Private Limited

<p><b>Role overview</b><br/>We are hiring a Senior AI Engineer for our B2B SAAS to own the design, implementation, and scaling of our AI systems across ingestion, retrieval, and agentic workflows.<br/>Key responsibilities</p><ul><li>Design, build, and maintain production-grade AI services powering knowledge ingestion, retrieval-augmented generation (RAG), and role-based AI agents.</li><li>Architect end-to-end AI pipelines: from connecting to third-party tools and data sources to indexing in vector stores and exposing APIs to product surfaces.</li><li>Implement and optimize LLM-based workflows (prompting, tools, agents, evaluation loops) for reliability, latency, and cost.​</li><li>Own system design for new AI features, making clear trade-offs between accuracy, latency, and infrastructure cost.​</li><li>Ship high-quality, well-tested code in a modern backend stack, integrating with our existing microservices and front-end applications.​</li><li>Monitor and improve AI features in production (observability, logging, evaluation, guardrails, incident response).</li><li>Collaborate closely with product and core engineering to translate customer problems into technical roadmaps and implementation plans.​</li><li>Establish and champion best practices for AI engineering, code quality, and security in an enterprise context.</li><li>Mentor other engineers on AI patterns, architecture, and tooling.</li></ul><p><b>Required qualifications</b></p><ul><li>5+ years of experience in software engineering, with at least 2&ndash;3 years focused on building AI/ML-powered products in production.</li><li>Strong proficiency in a modern backend language (e.g., TypeScript/Node.js or Python) and experience building REST/GraphQL APIs or similar service interfaces.</li><li>Hands-on experience with LLMs and generative AI (commercial APIs such as OpenAI/Anthropic or open-source models), including integrating them into real products.</li><li>Experience designing and operating retrieval-augmented generation (RAG) or semantic search systems using vector databases (e.g., Milvus, Qdrant, Pinecone, pgvector).</li><li>Solid understanding of system design, distributed systems basics, and cloud infrastructure (GCP, AWS, or similar).</li><li>Strong skills in testing, monitoring, and maintaining production services (logging, metrics, alerting, CI/CD).</li><li>Ability to work independently in a fast-paced startup, take ownership, and drive projects from idea to production.</li><li>Excellent communication skills and comfort collaborating with non-technical stakeholders.</li></ul><p><b>Nice-to-have</b></p><ul><li>Familiarity with multi-tenant SaaS architectures and role-based access control.​</li><li>Experience with event-driven architectures and streaming (e.g., Kafka, Pub/Sub) for ingestion pipelines.</li><li>Background in security/compliance for enterprise customers (logging, auditability, data residency).</li><li>Prior startup or early-stage product experience.</li></ul><p><b>Benefits:</b></p><ul><li><b>Health and Life Insurance</b> coverage</li><li><b>Paid Leaves</b> as per company policy</li><li><b>Annual Increment</b> based on performance evaluation</li><li>Hands-on <b>practical experience</b> on real projects</li><li>Supportive and collaborative work environment</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What's your Current Salary?</li><li>What's your Expected Salary?</li></ul><p>Work Location: In person</p>

Senior AI Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, develop, and maintain full-stack Python applications with modern frontend frameworks
</p></div><div><p>Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
</p></div><div><p>Create and implement efficient vector databases and knowledge stores
</p></div><div><p>Develop APIs that connect frontend interfaces with backend AI services
</p></div><div><p>Implement and maintain CI/CD pipelines for AI applications
</p></div><div><p>Monitor application performance and troubleshoot issues in production
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum of 6 to 9 years of experience to implement the solution
</p></div><div><p>Skills Required:
</p></div><div><p>Multi-Agent System Design &amp; Orchestration
</p></div><div><p>Full-stack AI Integration (Frontend to Backend)
</p></div><div><p>Multi-Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
</p></div><div><p>Advanced Prompt Engineering &amp; LLM Fine-tuning
</p></div><div><p>Agentic Retrieval Augmented Generation (RAG)
</p></div><div><p>AI Safety, Guardrails &amp; Governance
</p></div><div><p>Enterprise Application Integration &amp; AI Orchestration
</p></div><div><p>Semantic Modeling &amp; Knowledge Graph Construction
</p></div><div><p>High-Scale Vector Database Management
</p></div><div><p>LLM Observability, Evaluation &amp; Monitoring (LLMOps)
</p></div><div><p>Main Technologies:
</p></div><div><p>Python (FastAPI / Pydantic)
</p></div><div><p>LangChain &amp; LangGraph
</p></div><div><p>Edio &amp; Render (Deployment &amp; Hosting)
</p></div><div><p>Streamlit &amp; Gradio (UI/UX for AI)
</p></div><div><p>OpenAI &amp; Open-Source Models (Llama 3, Mistral)
</p></div><div><p>Vector Databases (Pinecone, Milvus, Weaviate)
</p></div><div><p>Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
</p></div><div><p>LLM Monitoring Tools (LangSmith / Arize Phoenix)
</p></div></div><p>Nice to have
</p><div><div><p>Tesseract OCR (nice to have)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Bengaluru, India
</p></div><p>Req. VR-121109
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-121109</p></div></div></div><p></p>

Prudential Plc

<div><div>Prudential&rsquo;s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people&rsquo;s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.</div><div></div><div>
 Prudential (UK) in partnership with the HCL group plans to set-up a standalone Indian health insurance company to address the growing healthcare needs of the Indian consumer.</div><div></div><div>
This joint venture will combine Prudential's global expertise in insurance and financial services with HCL Group&rsquo;s experience in technology and healthcare solutions.</div><div></div><div>
Prudential, with its longstanding presence in India, already operates two leading businesses in life insurance and asset management with the ICICI Group. Prudential was also the proud sponsor of the 1983 Cricket World Cup, India&rsquo;s first World Cup Victory!</div><div></div><div>
Prudential Health India is a Zero to One team undertaking a no-legacy, greenfield health insurance deployment in India, building journeys that truly empathize with the customer and offer a differentiated experience.</div><div></div><div><br>
To partner with us in this mission, we are looking for a talented Senior AI Engineer to join our Technology in Mumbai.</div><div>
Location: Mumbai (100% On‑site)<br>
Reporting to: Enterprise Architect</div><div>
Mission</div><div>
Architect the company&rsquo;s proprietary &ldquo;SaaS‑Killer&rdquo; Agentic AI Stack&mdash;the intellectual backbone that will replace external platforms and secure our long-term technology sovereignty.</div><div>
1. The &ldquo;Total Replacement&rdquo; Roadmap</div><div>
I. Agentic Claims Adjudication (SaaS Replacement)</div><div>
Objective: Build an in-house, AI-native Claims Management System to replace third‑party CMS platforms.<br>
Execution:</div><ul><li><div>
Design backend pipelines to ingest and validate medical data via NHCX.</div></li><li><div>
Automate clinical scrutiny and rule-based adjudication using agentic workflows.<br>
Outcome:</div></li><li><div>
Straight-Through Processing (STP) with near-zero manual intervention.</div></li><li><div>
Decommissioning of legacy SaaS workbenches.</div></li></ul><div>
II. Predictive FWA &amp; Real-Time Risk Sovereignty</div><div>
Objective: Replace external Fraud, Waste &amp; Abuse (FWA) platforms with an in-house predictive risk engine.<br>
Execution:</div><ul><li><div>
Build scoring models for every pre-auth and claim using proprietary fraud signatures.</div></li><li><div>
Develop a real-time &ldquo;risk brain&rdquo; that analyzes patterns at the point of care.<br>
Outcome:</div></li><li><div>
A live Provider Trust Score that auto-triggers approvals or investigations.</div></li><li><div>
Zero dependency on third-party FWA suites</div></li></ul><div>
III. Autonomous Provider Network &amp; Portal</div><div>
Objective: Build a proprietary &ldquo;Network Control Tower&rdquo; as a replacement for external hospital portals and network tools.<br>
Execution:</div><ul><li><div>
Architect secure, bidirectional data interoperability using HL7 FHIR and ABDM standards.</div></li><li><div>
Enable automated onboarding, tariff updates, and network insights.<br>
Outcome:</div></li><li><div>
Dynamic package pricing, automated negotiations, and self-updating network data&mdash;powered by agentic backends.</div></li></ul><div></div><div><br>
2. Requirements &amp; Qualifications</div><div>
Core Engineering (Must Have)</div><ul><li><div>
6+ years of experience in high-scale backend engineering using Python, Go, or Java.</div></li><li><div>
Proven ability to build robust, scalable distributed systems.</div></li></ul><div>
The &ldquo;Builder&rdquo; DNA (Must Have)</div><ul><li><div>
Demonstrated history of building systems from scratch&mdash;not just configuring SaaS tools.</div></li><li><div>
Comfort owning architecture end-to-end with minimal external dependencies.</div></li></ul><div>
AI/ML (Preferred)</div><ul><li><div>
Experience deploying AI models or ML-backed workflows is beneficial.</div></li><li><div>
Strong mathematical and logical grounding to quickly adopt:</div><ul><li><div>
Vertex AI</div></li><li><div>
Gemini models</div></li><li><div>
Agentic frameworks (LangGraph, CrewAI)</div></li></ul></li></ul><div>
GCP Readiness</div><ul><li><div>
Willingness to become proficient with:</div><ul><li><div>
Vertex AI</div></li><li><div>
BigQuery ML</div></li><li><div>
Document AI</div></li><li><div>
Cloud-native microservices &amp; orchestration</div></li></ul></li></ul><div>
Interoperability Enthusiasm</div><ul><li><div>
Interest in mastering the evolving healthcare standards:</div></li><li><div>
National Health Claims Exchange (NHCX)</div><ul><li><div>
ABDM protocols</div></li><li><div>
FHIR-based data flows</div></li></ul></li></ul><div>
3. Why This Role?</div><div>
Technology Sovereignty</div><div>
You will lead the build-out of platforms that replace multi-crore SaaS tools and define the company&rsquo;s technological autonomy.</div><div>
Deep IP Ownership</div><div>
Every module built reduces reliance on third-party vendors and directly increases company valuation.</div><div>
Direct Leadership Access</div><div>
Work hands-on with the CTIO and business heads at the Mumbai HQ.</div><div>
Candidate Profile</div><div>
The ideal candidate is a senior backend engineer who:</div><ul><li><div>
Wants to transition into Agentic AI leadership.</div></li><li><div>
Believes the &ldquo;UPI moment&rdquo; for insurance (NHCX) demands a fully custom, AI-native architecture.</div></li><li><div>
Has a strong bias for first-principles design and building proprietary systems over vendor customization.</div></li></ul><div>
The initial technical interview will focus on:</div><ul><li><div>
Your most complex build-from-scratch backend project.</div></li><li><div>
You're thinking around architectural sovereignty and system ownership.</div></li></ul><div></div><div><br>
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.</div></div><div></div>

PHI - Senior AI Engineer

Codiste Pvt. Ltd.

<p>Job Title: Senior Generative AI Engineer Experience:2-3 years Job Summary: We are seeking a highly skilled and motivated Senior Generative AI Engineer to join our innovative team. The ideal candidate will be a solution-oriented thinker with a strong foundation in Artificial Intelligence and a proven track record of designing, developing, and deploying complex generative AI solutions. You will be a key player in building the next generation of AI-powered features, working on everything from large language model (LLM) fine-tuning and orchestration to the implementation of sophisticated multi-agent systems. If you are an independent developer who is passionate about pushing the boundaries of AI, we want to hear from you. Key Responsibilities: ● Design, build, and maintain scalable and efficient generative AI models and data pipelines. ● Lead the development and implementation of advanced Generative AI solutions using state-of-the-art models and techniques. ● Design and orchestrate multi-agent AI systems to solve complex problems and automate intricate workflows. ● Fine-tune and evaluate Large Language Models (LLMs) to meet specific project requirements, ensuring optimal performance and accuracy. ● Collaborate with product managers, data scientists, and software engineers to integrate AI-powered features into our products. ● Take ownership of the full AI model lifecycle, from data preprocessing and embedding to deployment and monitoring. ● Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses. ● Ensure the ethical and responsible development of AI, prioritizing fairness, transparency, and privacy. Registered Office Address : Codiste Private Limited, C-804,Vandemataram Fabula, Near Swarnim Square,Chharodi, Ahmedabad, Gujarat, India,382481 www.codiste.com Must Have Qualifications: ● 2-3 years of hands-on experience in building and deploying Generative AI and Deep Learning models. ● Strong proficiency in Python and its core data science libraries. ● Proven experience with LLM orchestration and building multi-agent systems. ● In-depth knowledge of LLM architecture, training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA). ● Solid understanding of Neural Network fundamentals and deep learning concepts. ● Practical experience with NLP, including text processing, embedding preparation, and implementing RAG pipelines. ● Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure). Professional Attributes: ● Solution-Oriented Thinker: Proactively identify challenges and design effective, creative solutions to complex problems. ● Technologically Current: Demonstrate a commitment to staying up-to-date with the latest advancements and trends in the rapidly evolving field of generative AI. ● Versatile Problem-Solver: Able to devise and evaluate different solution approaches, utilizing a trial-and-error mindset to iterate and arrive at the optimal outcome. ● Independent Developer: Capable of driving projects forward with minimal supervision, taking initiative from conception to deployment. SDKs, Tools, and Languages: ● Languages: Python, TypeScript. ● AI/ML Frameworks &amp; Orchestration: TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex, and other agentic frameworks. ● Vector Databases: Pinecone, ChromaDB, etc. ● Cloud Platforms: AWS (Bedrock, SageMaker, Lambda), Google Cloud Platform (Vertex AI), Azure. ● Infrastructure and CI/CD: Docker, Kubernetes, Terraform. ● APIs: OpenAI and other major AI providers. About Codiste : We are an Emerging Tech solution provider. We help Startups and SMEs to stay ahead in this fast-changing world by providing consulting and building products that their end customer loves with a fast turnaround time. At Codiste, we have a Tech and immersive experience combined team, which is very rare to find. We believe in a Team uplifting culture and win-win for the team that works with us.</p><p>Job Type: Full-time</p><p>Pay: ₹1,000,000.00 - ₹1,800,000.00 per year</p><p>Work Location: On the road</p>

Rapid7

<div><p><b>About the Team</b></p><p>
The AI Center of Excellence is a multidisciplinary group of Data Scientists and AI Engineers who partner with Detection and Response teams to turn cutting-edge research into real-world security products. We leverage LLMs, agentic workflows, and behavioral modeling to stay ahead of evolving threats and ensure our customers remain secure.</p><p><b><br>
About the Role</b></p><p>
As a Senior Software Engineer &ndash; Data Science, your primary responsibility will be to drive the end-to-end delivery of ML and LLM-based solutions on AWS.</p><p>
Specifically, your focus will be to:</p><ul>
<li><p>
Design and implement sophisticated ML pipelines for security use cases, including malware detection and user behavioral analytics.</p></li>
<li><p>
Architect and maintain RAG pipelines and agentic AI workflows using toolchains like LangChain and LangGraph to automate complex security tasks.</p></li>
<li><p>
Optimize and deploy models within the AWS ecosystem, utilizing SageMaker and Bedrock while ensuring robust monitoring, drift detection, and retraining workflows.</p></li>
<li><p>
Collaborate and mentor across the team to establish architectural standards, conduct code reviews, and support the technical growth of junior engineers.</p></li>
</ul><p></p><p><b>
The skills and qualities you&rsquo;ll bring include:</b><br>
Core Skills</p><ul>
<li><p>
Technical Ownership: Ability to take a project from a conceptual prototype to a high-quality production system.</p></li>
<li><p>
Analytical Problem Solving: Expertise in applying scientific computing and statistical modeling to unlabeled, large-scale data.</p></li>
<li><p>
Continuous Learning: A proactive approach to mastering emerging technologies in LLMs, Generative AI, and agentic systems.</p></li>
</ul><p>
Functional Skills</p><ul>
<li><p>
Python Proficiency: Advanced experience with numpy, pandas, and scientific computing libraries.</p></li>
<li><p>
Machine Learning Frameworks<b>:</b> Hands-on expertise with scikit-learn and Deep Learning frameworks (PyTorch or TensorFlow).</p></li>
<li><p>
Generative AI Toolchains: Proven experience with HuggingFace, Transformers, LangChain, and LangGraph.</p></li>
<li><p>
Cloud Infrastructure: Strong experience deploying and operating ML workloads on AWS (SageMaker, Bedrock, Lambda, EKS).</p></li>
<li><p>
Vector Databases &amp; RAG: Practical experience designing and tuning Retrieval-Augmented Generation pipelines.</p></li>
<li><p>
MLOps &amp; CI/CD: Proficiency in managing model registries, versioning, and automated deployment via GitHub Actions or Jenkins.</p></li>
<li><p>
Security Domain Knowledge: Familiarity with threat detection, malware behaviour, or cybersecurity analytics.</p></li>
<li><p>
Model Explainability: Ability to implement and interpret model transparency tools like SHAP or LIME.</p></li>
<li><p>
LLM Evaluation: Experience using evaluation frameworks such as Promptfoo or HELM to ensure model quality and safety.</p></li>
</ul><p></p><p>
We know that the best ideas and solutions come from multi-dimensional teams. That&rsquo;s because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don&rsquo;t be shy - apply today.</p><p></p><p>
#LI-AK1</p><p></p><h2 class="jobSectionHeader"><b>
About Rapid7</b></h2><p>
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what&rsquo;s possible and drive extraordinary impact. We&rsquo;re building a dynamic and collaborative workplace where new ideas are welcome.</p><p></p><p>
Protecting 11,000+ customers against bad actors and threats means we&rsquo;re continuing to push the envelope just like we&rsquo; ve been doing for the past 20 years. If you &rsquo;re ready to solve some of the toughest challenges in cybersecurity, we&rsquo;re ready to help you take command of your career. Join us.</p></div>

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, develop, and maintain full-stack Python applications with modern frontend frameworks
</p></div><div><p>Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
</p></div><div><p>Create and implement efficient vector databases and knowledge stores
</p></div><div><p>Develop APIs that connect frontend interfaces with backend AI services
</p></div><div><p>Implement and maintain CI/CD pipelines for AI applications
</p></div><div><p>Monitor application performance and troubleshoot issues in production
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum of 6 to 9 years of experience to implement the solution
</p></div><div><p>Skills Required:
</p></div><div><p>Multi-Agent System Design &amp; Orchestration
</p></div><div><p>Full-stack AI Integration (Frontend to Backend)
</p></div><div><p>Multi-Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
</p></div><div><p>Advanced Prompt Engineering &amp; LLM Fine-tuning
</p></div><div><p>Agentic Retrieval Augmented Generation (RAG)
</p></div><div><p>AI Safety, Guardrails &amp; Governance
</p></div><div><p>Enterprise Application Integration &amp; AI Orchestration
</p></div><div><p>Semantic Modeling &amp; Knowledge Graph Construction
</p></div><div><p>High-Scale Vector Database Management
</p></div><div><p>LLM Observability, Evaluation &amp; Monitoring (LLMOps)
</p></div><div><p>Main Technologies:
</p></div><div><p>Python (FastAPI / Pydantic)
</p></div><div><p>LangChain &amp; LangGraph
</p></div><div><p>Edio &amp; Render (Deployment &amp; Hosting)
</p></div><div><p>Streamlit &amp; Gradio (UI/UX for AI)
</p></div><div><p>OpenAI &amp; Open-Source Models (Llama 3, Mistral)
</p></div><div><p>Vector Databases (Pinecone, Milvus, Weaviate)
</p></div><div><p>Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
</p></div><div><p>LLM Monitoring Tools (LangSmith / Arize Phoenix)
</p></div></div><p>Nice to have
</p><div><div><p>Tesseract OCR (nice to have)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Chennai, India
</p></div><p>Req. VR-121109
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-121109</p></div></div></div><p></p>

Fx is AI

<p><b>Job Overview:</b></p><p>We are seeking an AI Engineer (Level 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and Develop AI Solutions: Build advanced AI and NLP solutions focusing on large language models. Experiment with state-of-the-art Transformer architectures (e.g., BERT, GPT, LLaMA) to address complex language understanding and generation tasks.</li><li>LLM Implementation: Leverage modern AI frameworks and tools (such as LangChain, Hugging Face Transformers, OpenAI APIs, PyTorch, TensorFlow) to develop, fine-tune, and integrate LLMs into applications. Ensure models are optimized and efficient for production use.</li><li>Advanced NLP Techniques: Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in our solutions.</li><li>Prompt Engineering &amp; Fine-Tuning: Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Experiment with prompt strategies and training techniques to optimize generative models.</li><li>Production Deployment &amp; MLOps: Deploy and scale models in production environments, ensuring reliability and low-latency performance. Implement MLOps best practices (CI/CD pipelines, model monitoring, version control) to achieve robust, repeatable model deployments.</li><li>Cloud AI Integration: Utilize AI/ML cloud services (AWS, GCP, Azure) for model training, deployment, and infrastructure management. Optimize cloud resources to handle large-scale training and inference efficiently.</li><li>Model Optimization &amp; Scaling: Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage.</li><li>Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI capabilities into products and solutions. Collaborate in cross-functional teams to gather requirements, brainstorm ideas, and ensure AI systems meet client needs and quality standards.</li><li>Innovation and Research: Stay up-to-date with the latest AI research, papers, and trends in the industry. Proactively experiment with new algorithms, models, and techniques to keep our solutions at the cutting edge.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Education &amp; Experience: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field (or equivalent experience), plus 3+ years of hands-on experience in AI/ML engineering or a similar role.</li><li>Deep Learning &amp; LLM Expertise: Strong foundation in deep learning and NLP, with experience in transformer-based architectures and large language models (e.g., BERT, GPT series, LLaMA).</li><li>Programming &amp; Frameworks: Proficiency in Python programming and experience with major AI/ML frameworks and libraries &ndash; e.g., PyTorch, TensorFlow, and data libraries like NumPy, Pandas, scikit-learn. Familiarity with NLP/LLM tools such as Hugging Face Transformers, LangChain, and OpenAI APIs is highly desired.</li><li>NLP &amp; Generation: Proven experience developing NLP solutions, including working on text generation, summarization, conversational AI, or retrieval-augmented generation (RAG) systems.</li><li>Model Tuning: Hands-on skills in prompt engineering and fine-tuning LLMs or other deep learning models to adapt them for specific tasks or domains. Experience with transfer learning and hyperparameter tuning for model optimization.</li><li>Deployment &amp; Cloud: Experience deploying machine learning models into production environments. Familiarity with deploying</li></ul><p>Job Type: Full-time</p><p>Pay: ₹500,000.00 - ₹1,100,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Python: 3 years (Required)</li><li>Data science: 3 years (Required)</li></ul><p>Location:</p><ul><li>Ahmedabad, Gujarat (Preferred)</li></ul><p>Work Location: Hybrid remote in Ahmedabad, Gujarat</p>

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