181 Pinecone Jobs - Page 2

Nuum X Consulting is a leader in digital transformation, AI-driven solutions, and customer experience innovations. They empower businesses with cutting-edge AI applications to enhance operational efficiency, automate workflows, and drive intelligent decision-making. As a part of the AI innovation team, you will have a significant role in developing and optimizing Generative AI solutions for real-world applications. You will be responsible for designing, developing, and deploying state-of-the-art AI-driven applications that leverage Large Language Models (LLMs), NLP, and Deep Learning. The ideal candidate should have hands-on experience in developing AI-powered applications, fine-tuning pre-trained models, and integrating AI with existing business systems. Your key responsibilities will include building and deploying AI-driven applications using GPT, LLaMA, Falcon, or similar LLMs, fine-tuning pre-trained models for domain-specific tasks, integrating AI solutions into CRMs, automation tools, and cloud-based platforms, creating robust APIs for seamless integration of generative AI capabilities, utilizing tools like FAISS, Pinecone, Weaviate for retrieval-augmented generation (RAG) capabilities, establishing monitoring pipelines for AI model drift and continuous improvement, researching and experimenting with new AI architectures and generative AI innovations, and collaborating with data scientists, engineers, and product teams to ensure seamless AI adoption. To be considered for this role, you should have a Bachelors or Masters Degree in Computer Science, AI, Machine Learning, or a related field, along with 2+ years of experience in AI/ML application development focusing on Generative AI. Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers, and LangChain is required. Additionally, experience in LLM fine-tuning, prompt engineering, model optimization, NLP, vector databases, embeddings, and retrieval-augmented generation (RAG) is essential. Hands-on experience with cloud AI services (AWS, Azure, GCP) for model deployment, strong understanding of AI ethics, bias mitigation, and responsible AI development, as well as excellent problem-solving, communication, and collaboration skills are also necessary. Preferred qualifications include experience with MLOps, CI/CD pipelines, and model monitoring, understanding of multi-modal AI (text, image, audio generation), exposure to Reinforcement Learning with Human Feedback (RLHF), and prior experience in AI-driven automation, chatbots, or intelligent assistants. Join Nuum X Consulting for innovative AI projects, growth opportunities, access to AI research and conferences, hands-on learning, and a collaborative culture working with top AI engineers, data scientists, and innovators.,

We are looking for AI/ML engineers who will be responsible for developing, deploying, and optimizing advanced AI models. You will have the opportunity to work with cutting-edge tools such as OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to create scalable AI solutions. Your key responsibilities will include: - Demonstrating expertise in Large Language Models (LLMs) and utilizing tools like OpenAI API, Hugging Face Transformers, and other NLP frameworks. - Proficiently fine-tuning and deploying pre-trained models across various NLP tasks. - Strong knowledge in LangChain for the construction and management of LLM pipelines. - Utilizing Vector Databases such as Pinecone, Milvus, and Weaviate for efficient data retrieval and AI-driven search. - Applying embedding techniques for tasks related to search, recommendations, and semantic similarity. - Having a solid grasp of Prompt Engineering to enhance model performance. - Demonstrating strong Python programming skills and experience with ML libraries like TensorFlow, PyTorch, and Scikit-learn. - Experience in deploying ML models using ONNX for scalable and efficient inference. - Hands-on involvement in the development, optimization, and maintenance of AI/ML models within production environments. - Ability to collaborate effectively with cross-functional teams and staying updated on the latest AI advancements to improve solutions.,

As an AI Engineer at Deriv, you will play a key role in revolutionizing the world of CFD trading by leveraging cutting-edge AI solutions. Your responsibilities will involve crafting and refining production-grade prompting strategies for large language models, building and maintaining LLM pipelines using LangChain, and developing frameworks for LLM performance metrics and quality assessments. Additionally, you will design and implement GenAI applications, optimize similarity-based retrieval systems, and architect multi-agent systems for autonomous decision-making. If you enjoy solving complex problems, staying updated on AI technologies, collaborating with diverse teams, delivering high-quality results under tight deadlines, and contributing to the future of online trading through AI, then you will thrive in this role. To excel in this position, you should be proficient in Python with a focus on GenAI best practices, have a deep understanding of LLMs, prompt engineering, and GenAI technologies, be skilled in data analysis tools like Pandas and NumPy, and possess hands-on experience with vector databases such as Weaviate or Pinecone. Strong problem-solving skills, critical-thinking abilities, clear communication skills, and an advanced degree in Computer Science, Machine Learning, or a related field are preferred qualifications. Deriv offers a dynamic work environment where you can make a significant impact by working on transformative AI projects that shape the future of online trading. You will have access to innovative tools, models, and learning resources, competitive compensation, and opportunities for career growth within a forward-thinking team committed to embracing an AI-driven future.,

As a GenAI Engineer (Senior/Lead) with 10 years of experience, you will be responsible for integrating LLM APIs, developing AI-driven applications, optimizing model performance, and deploying AI services at scale. Your expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration will be crucial for this role. Your key responsibilities will include building and maintaining Python-based AI services using LangChain and CrewAI, implementing RAG-based retrieval and Agentic AI workflows. You will also be involved in integrating OpenAI, Bard, Claude, Azure OpenAI APIs, optimizing API calls, and reducing hallucinations using embedding-based retrieval methods like FAISS and Pinecone. Additionally, you will evaluate AI models, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. Designing scalable RESTful API services, securing AI endpoints using OAuth2, JWT authentication, and API rate limiting will also be part of your role. You will deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines, and implement LangChain for AI workflow automation. Working in Scrum teams, estimating tasks accurately, and contributing to incremental AI feature releases will be essential for Agile development and innovation. Your tech stack will include AI/ML tools such as PyTorch, TensorFlow, Hugging Face, Pinecone, LLMs & APIs like OpenAI, LangChain, CrewAI, cloud & DevOps tools such as AWS, Azure, Kubernetes, Docker, CI/CD, and security & compliance measures like OAuth2, JWT, and HIPAA. To excel in this role, you should have a minimum of 4 years of experience in AI/ML, LLM integrations, and enterprise cloud solutions, along with proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. Strong knowledge of scalable AI architectures and security best practices will be highly beneficial.,

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform

As a Generative AI Architect at Techvantage.ai, your primary responsibility will be to design and lead end-to-end solutions incorporating Large Language Models (LLMs), diffusion models, transformers, and multimodal AI across various enterprise and consumer use cases. You will play a crucial role in developing robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Your expertise will be essential in evaluating and integrating both open-source and proprietary models based on specific business requirements. In this strategic and high-impact role, you will be expected to collaborate closely with product managers, data scientists, engineers, and clients to design and implement cutting-edge GenAI-powered applications aligned with business objectives. Ethical considerations such as data privacy, model safety, and bias mitigation will be integral parts of your responsibilities. Moreover, your contribution to internal GenAI accelerators, reusable frameworks, and innovation strategies will be crucial to the continuous growth and development of the organization. To excel in this position, you should possess a minimum of 10 years of experience in technology roles, specifically in AI/ML architecture, data engineering, or solution architecture, with at least 3 years dedicated to designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks is essential, as well as proficiency in Python, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. Strong communication and stakeholder management skills will also be key in effectively conveying complex AI concepts to non-technical audiences. While not a mandatory requirement, experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms, familiarity with agentic AI systems, autoML, RLHF, or autonomous agents, and knowledge of data governance, compliance, and responsible AI frameworks will be advantageous. Additionally, contributions to open-source AI projects or publications in the AI/ML domain would be considered a strong plus. A Master's or PhD in Computer Science, AI/ML, Data Science, or related field is preferred. Join us at Techvantage.ai and lead innovation at the forefront of Generative AI and intelligent systems. You will have the opportunity to work with a highly talented team, leverage state-of-the-art tools and models, and receive generous compensation that reflects your expertise and contributions.,

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. Were building a more open world. Join us. Senior Software Development Engineer Are you a motivated technologist who can balance technical depth and interpersonal skills while working with partner teams to develop platform solutions If so, we are hiring a Sr. Software Engineer for the Expedia Fraud and Risk team, youll be working in highly collaborative, fast-paced, high-energy environment. EFR develops and manages the systems to protect Expedia and partners from fraud activity/financial loss/noncompliance/brand damage. The Sr. Software Engineer will take a lead role in expanding EFRs capabilities for complex signal detection, scaling, cost optimization etc .You will own the technical solution design, while developing with a team of engineers, product managers, and architects building features for ERF platform team with business and product partners to drive the road map and strategy for the group in this area. As someone who loves to look beyond the status quo, you will work to gain solid understanding of EFR domain, help define and prioritize new features, and offer constructive critiques of planned features. You will possess knowledge of technology platforms to bring together different components and form a fully functional solution to a business problem. You enjoy solving complex problems, work optimally with across teams and thrive in a constantly evolving setting. You have a strategic attitude and should be proficient in system architecture and design. What Youll Do Build scalable, reliable, and low-latency systems designed for the cloud Deliver secure, maintainable, and easy-to-integrate platform services Lead system design discussions and present solutions to technical and non-technical audiences Collaborate with technical leaders and architects to align on strategy and adopt emerging technologies Establish and enforce engineering best practices, coding standards, and CI/CD processes Drive innovation by exploring and applying AI/ML and cloud technologies Work with product and business teams to define roadmaps and execution plans Design integration patterns with internal and external partners Produce clear technical documentation and regular status updates for stakeholders Communicate progress and challenges on complex projects to senior leadership. Who You Are 8+ years for Bachelor&aposs or 6+ years for Master&aposs Worked in at least in 2 multi-quarter projects. Worked in decentralized teams and projects. Formally mentored at least 3 individuals. Drove technical design end-to-end of at least 3 projects. Strong experience in Java (or Kotlin), Spring Boot, and API development Deep understanding of cloud architecture, preferably AWS Familiarity with AI/ML frameworks and APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone) Experience with Docker, Kubernetes, and CI/CD pipelines Justifies technology choices to technical and non-technical observers. Serves as an expert for a given domain. Mentors' other engineers (Individual Contributor I, II, III). Understands highly complex systems and design moderately complex systems. Identifies business problems at the team level and provide solutions and guides integration across teams within business units. Excellent communication, leadership, and cross-team collaboration skills Strong analytical and problem-solving mindset with attention to detail Establishes operational excellence metrics at the team level. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group&aposs family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Groups Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless youre confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Show more Show less

Help Build the AI Engine for a Greener Future Position: AI & Data Intern Programming, Automation & Sustainability Location: On-site (Delhi NCR) Duration: Minimum 3 months (extendable to 6 months) Stipend Provided | Certificate | Pre-Placement Offer Opportunity About Novasensa Novasensa is a deep-tech sustainability company working at the cutting edge of lithium-ion battery and e-waste recycling. Our in-house technologies extract valuable metals from used electronicssupporting clean energy, circular economy, and Indias mineral self-reliance. Were now building a custom AI Assistant to automate experiments, analyze lab data, and support decision-making across our operations. Youll join our R&D team to help shape this tool and apply your programming skills to real sustainability challenges. Why This Internship Use your Python and data skills on a real-world AI system Learn how AI can accelerate clean-tech innovation Get mentorship from a startup team working at the intersection of sustainability, engineering, and software Gain experience in automation, data visualization, and semantic search Your work will contribute to Indias green growth and circular economy mission What Youll Work On As an AI & Data Intern , youll support development and testing of our internal AI tools. You dont need to be an expertwell help you learn as you build. Programming & Automation Write Python scripts to clean, organize, and process experimental data Automate repetitive R&D tasks like documentation or calculations Help build backend tools for experiment tracking and analysis Data Analysis & Visualization Analyze lab results and generate visual summaries Use Excel, Python (Pandas, Matplotlib), or Streamlit to build dashboards Track patterns and insights from recycling experiments AI Assistant Development (with guidance) Help with document parsing and semantic search Learn how LangChain, OpenAI, and vector databases (like Pinecone) work Test and improve the performance of our AI assistant using real lab data Who Were Looking For Were looking for curious, motivated learners who want to apply their coding and data skills to real sustainability work. Must-Have Basic to intermediate Python programming skills Understanding of data structures, functions, and file handling Familiarity with data visualization (Matplotlib, Seaborn, Excel, etc.) Interest in AI and willingness to learn new tools Good to Have Exposure to AI tools like OpenAI, LangChain, or vector search (even at beginner level) Experience with data cleaning and automation Interest in clean energy, recycling, or sustainability Education Background Candidates should be pursuing or recently completed any of the following degrees: B.Tech / B.E. / M.Tech in: Computer Science Data Science / AI / ML B.Sc / M.Sc in: Computer Science Statistics Mathematics What Past Interns Say Novasensa is one of the few startups in India where youre building deep-tech from first principleswith a real mission. I got to code, test, and deploy modules that are now part of the AI system used daily by the team. It changed how I think about softwares role in sustainability. Karthik M., BITS Pilani, Summer Intern 2024 How to Apply Please fill out the form here: https://forms.gle/5iREdYhYeypegi3f8 Important Guidelines: Answer all questions in your own words, based on your real experiences or reasoning. Do not use ChatGPT, Gemini, or other AI tools to generate your responses. Your answers will be discussed in the live interview if shortlisted. The form should take approximately 2030 minutes to complete. Applications are reviewed on a rolling basis. Early applicants are preferred. Learn. Build. Impact. Join us to use your code for a cleaner planet. Show more Show less

As an AI/ML Consultant specializing in Generative AI and Machine Learning, you will leverage your 8+ years of experience to lead and deliver AI initiatives in the Healthcare, BFSI, and Manufacturing sectors. Your role will involve collaborating with stakeholders to develop scalable AI solutions that integrate Generative AI techniques like LLMs and transformers with traditional ML approaches such as time series analysis, classification, and deep learning. Your core responsibilities will include: AI/ML Strategy & Delivery: - Leading end-to-end AI/ML projects, from concept to implementation. - Working closely with stakeholders to transform business requirements into effective AI solutions. - Applying a combination of Generative AI and traditional ML methods to address diverse industry challenges. Technical & Platform Expertise: - Designing and implementing GenAI solutions using technologies like LLMs, agentic AI, and LangChain. - Hands-on experience with NLP, RAG, LoRA/PEFT, and prompt engineering. - Proficiency in Python programming and familiarity with TensorFlow, PyTorch, and HuggingFace. - Expertise in working with vector databases such as FAISS, Chroma, and Pinecone. - Implementing MLOps best practices, including CI/CD and ML model lifecycle management with tools like MLflow. Integration & Innovation: - Developing AI-powered applications using frameworks like Streamlit and FastAPI. - Deploying models on cloud platforms like AWS, Azure, and GCP, as well as GPU/TPU accelerators. - Collaborating with engineering and product teams to integrate AI solutions into enterprise systems. Qualifications for this role include: - 8+ years of experience in AI/ML, with at least 2-3 years in client-facing or leadership positions. - Demonstrated expertise in leading complex AI programs and providing guidance to senior executives. - Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields. - Industry certifications in AWS, Azure, GCP, or Databricks would be beneficial. - Knowledge of regulated industries such as Healthcare, Pharma, and BFSI is preferred. In addition to your technical skills, strong communication abilities will be essential for effectively conveying complex technical concepts to non-technical audiences. Stay informed about the latest AI trends, including multimodal models and ethical AI practices, to drive innovation and maintain industry relevance.,

Design and build smart automation workflows using n8n, Zapier, and Make.com. Integrate APIs and connect third-party apps to streamline business processes. Utilize LLMs (e.g., OpenAI, Cohere) for tasks like summarization, data extraction, and decision logic. Create RAG pipelines utilizing vector databases such as Pinecone, ChromaDB, or Weaviate. Develop and test autonomous agents using LangChain, AutoGen, or similar frameworks. Write clean, modular code in Python or JavaScript to support custom workflow logic. Prototype ideas quickly and deploy real features used in production environments. Document workflows thoroughly and collaborate with developers, consultants, and product teams. Key Skills: Final-year students in Computer Science, AI/ML, Data Science, Information Systems, or related fields, who are willing to work full time after the internship. Curiosity & Initiative are essential you enjoy experimenting with new tools/technologies and are unafraid to break things to learn. Possess Basic to Intermediate Coding Skills and are comfortable with writing Python or JavaScript/TypeScript. Able to read API docs and write modular code. Familiarity (or willingness to learn) with Workflow Platforms such as n8n, Zapier, Make.com, or similar; if you haven't used n8n yet, assistance will be provided for onboarding. Knowledge of APIs, including understanding of RESTful APIs, JSON, and authentication mechanisms. Interest in AI/LLMs familiarity with LLMs basics or eagerness to dive into prompt engineering, embeddings, and RAG concepts. Problem-Solving Mindset ability to break down complex tasks into smaller steps, map flows, and anticipate edge cases. Strong Communication & Documentation skills capable of explaining workflows, documenting steps, and writing clean README/instructions. A Team Player open to feedback, collaboration in agile/scrum-like setups, and assisting peers in troubleshooting.,

Senior AI Engineer ???? Mumbai | Hybrid About Quantanite Were a global CX and digital solutions partner that blends cutting-edge AI with the human touch. Headquartered in London and operating across 4 continents, our 2,000+ people help some of the worlds fastest-growing brands scale smarter, work faster, and deliver better serviceevery time. Were not your typical outsourcing company. At Quantanite, great service is built on two things: smart tech and smarter people. From proprietary AI platforms like MBIUS to our collaborative, people-first culture, we equip our teams with the freedom and tools to build game-changing solutions. If youre looking for a place where your AI engineering skills can shape real enterprise impact (not just POCs), youll feel at home here. The Role As a Senior AI Engineer , youll own the full lifecycle of AI solutionsfrom design to production. Youll be hands-on with multi-agent workflows, advanced knowledge retrieval, and LLM optimization to solve enterprise-scale problems. Expect to lead projects such as AI Copilots, Enterprise Search Systems, Summarization Engines, and Intelligent Automation Tools building robust, scalable solutions that move beyond prototypes into production. Youll also play a key role in mentoring junior engineers, setting engineering standards, and collaborating cross-functionally to ensure delivery at scale. What Youll Do Build and deploy agentic systems and multi-agent workflows using LangChain, LlamaIndex, OpenAI SDK (and beyond). Design RAG pipelines with vector DBs like FAISS, Pinecone, Weaviate, or Qdrant. Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) with LoRA/QLoRA, quantization, and other techniques. Implement guardrails, safe API usage, and PII protection for secure deployments. Monitor/evaluate agent performance with LangSmith, AgentOps , and similar tools. Ship real-world enterprise AI use casesCopilots, orchestration engines, intelligent search, and more. Mentor and review the work of junior AI engineers, spreading best practices. Work with product, data, and DevOps teams to bring AI solutions into production at scale. What Youll Bring Solid grounding in LLMs and GenAI (fine-tuning, prompt engineering, practical deployment). Proven track record with RAG pipelines and vector databases. Hands-on with agent frameworks (LangChain, LlamaIndex, etc.) and orchestration. Experience deploying/scaling models on clouds (AWS, Azure, HuggingFace). Strong coding ability in Python or similar. Familiarity with LLM Ops : monitoring, evaluation, cost optimisation. Delivered enterprise-grade AI solutions (not just demos). Experience mentoring engineers and building technical excellence in a team. Bonus: contributed to open-source LLM projects or worked on autonomous agent use cases (research copilots, orchestration systems). Qualifications B.Tech (required). 4.57 years of relevant experience. Strong knowledge of GenAI, agentic systems, and multi-agent architectures. Attributes: clear communicator, strong leader, highly tech-savvy. Preferred: exposure to BPO/KPO environments or systems experience in enterprise AI/agentic tools. Why Quantanite ???? Hybrid work model. ???? Ongoing training, mentorship & career growth. ???? Inclusive, people-first culture. ???? Health insurance & provident fund. Quantanite is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all. ???? Ready to push agentic AI beyond theory into enterprise-scale impact Lets build the future together. Apply today to discover how we can build better, together. Show more Show less

Location: Bengaluru, India (On-site) We are seeking a talented and versatile Full Stack Developer to join our Generative AI team. In this role, you will work at the intersection of AI innovation and modern web development, building intelligent, scalable applications that leverage cutting-edge AI models and frameworks. Youll collaborate closely with AI engineers, product managers, and UX designers to bring GenAI-powered products from concept to production. Responsibilities Design, develop, and maintain full-stack web applications integrating Generative AI models (e.g., OpenAI, Hugging Face, Azure OpenAI, etc.) Build robust APIs and backend systems to support AI workflows (prompt chaining, orchestration, embeddings, etc.) Develop modern front-end interfaces using frameworks like React, Next.js, or Angular Work closely with AI and ML teams to embed LLMs, vector databases, and model APIs into production-grade systems Ensure applications are secure, scalable, and performant Contribute to prompt engineering, agent orchestration logic, and AI user interaction design Collaborate with cross-functional teams in agile sprints Write unit and integration tests to ensure code quality Participate in code reviews, design sessions, and architectural discussions Requirements 3+ years of experience in full stack development (Node.js, Python, or .NET backend preferred) Strong experience with front-end frameworks: React, Vue.js, or Angular Solid understanding of RESTful APIs, GraphQL, and backend design principles Familiarity with LLMs, transformers, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, FAISS) Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes) Ability to work with both SQL and NoSQL databases Exposure to AI/ML libraries like OpenAI API, LangChain, Hugging Face, or Azure OpenAI Excellent problem-solving, collaboration, and communication skills Good to Have Experience with LLMOps and AI application lifecycle management Hands-on experience with agent-based AI frameworks (e.g., AutoGPT, LangGraph) Experience integrating authentication, logging, monitoring, and analytics tools Knowledge of CI/CD pipelines, GitHub Actions, or Azure DevOps Skills: nodejs,reactjs,nextjs,genai,azure,design,stack,databases,prompt,angular,code,ml,models,orchestration Show more Show less

As a visionary Generative AI Architect, you will play a crucial role in leading the design and deployment of intelligent solutions by leveraging Large Language Models (LLMs), agentic frameworks, and advanced NLP techniques. Your expertise will be instrumental in building scalable generative AI systems across insurance, healthcare, and financial services. Your key responsibilities will include architecting modular GenAI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral, with a strong focus on LangChain, LangGraph, and RAG. You will design and implement agent-based systems capable of reasoning, tool use, API integration, and memory management using LangChain agents and LangGraph-based workflows. Additionally, you will be responsible for designing robust, cloud-native AI platforms capable of handling large-scale data pipelines and complex machine learning models on platforms like AWS, Azure, and GCP. You will also be involved in developing and prototyping intelligent assistants, document automation systems, and NLP tools. Building robust RAG architectures with vector databases like FAISS and Pinecone and embedding models for domain-specific search and document intelligence will be part of your responsibilities. Furthermore, you will translate complex business problems into generative AI use cases in various areas such as underwriting automation, claims triage, policy analysis, and customer support. Collaborating with cross-functional teams, including data scientists, engineers, and domain SMEs, will be crucial to driving successful AI solution delivery. You will continuously evaluate and benchmark LLMs, agent orchestration tools, and GenAI platforms such as OpenAI, Hugging Face, and LlamaIndex. Optimizing performance and scalability for LLM-based systems deployed in production environments to ensure low latency, secure data handling, and ethical AI compliance will also be a key part of your role. Lastly, you will evangelize GenAI innovations internally and with clients through PoCs, demos, and technical workshops. In addition to the key responsibilities, it would be good to have experience developing structured AI pipelines using the MCP framework to clearly define model invocation logic, contextual understanding and memory, and input/output protocols for repeatable, enterprise-scale use cases. To qualify for this role, you should have at least 7+ years of experience in AI/ML, with a minimum of 3+ years specializing in NLP and Generative AI. You should also demonstrate proven hands-on expertise with LLMs such as GPT, Claude, LLaMA, Mistral, and BERT, including both open-source and commercial APIs like OpenAI and Anthropic. A deep understanding of LLM architecture and operations, along with proficiency in building Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models, is essential. Additionally, you should be proficient with GenAI frameworks, possess advanced programming skills in Python, and have experience deploying enterprise-ready AI solutions in production environments.,

GlobalLogic has been engaged in exploring opportunities to implement ML/AL/GenAI-powered applications for a multinational industrial conglomerate since 2023, with the aim of enhancing business efficiency. Following a Discovery phase and the completion of 3 pilot projects covering use cases of Customer Requirements, Tender Response, and Project Design areas, GL proposes to enhance pilots with additional capabilities, identified and confirmed with the clients" experts throughout the pilot's development, taking the applications to the next MVP (Minimum Viable Product) stage. You should have at least 3 years of experience in machine learning and natural language processing, proficiency in training and fine-tuning Large Language Models (LLMs), experience with RAG architectures and vector databases like Pinecone, a Bachelor's degree in Computer Science, Engineering, or equivalent, excellent problem-solving and analytical skills, demonstrated ability to conduct experiments and improve model performance, good command of English for effective communication with team members, and knowledge of Pytorch, Pinecone, LLM fine-tuning, RAG, and vector databases. Your responsibilities will include training and fine-tuning Large Language Models (LLMs) for various applications, implementing and optimizing Retrieval-Augmented Generation (RAG) architectures, working with vector databases like Pinecone to enhance data retrieval capabilities, developing and applying data science and machine learning techniques, collaborating with cross-functional teams to integrate LLMs into products, staying updated with the latest advancements in LLM and machine learning technologies, and conducting experiments and analyzing results to improve model performance. At GlobalLogic, you will experience a culture of caring, continuous learning and development opportunities, interesting and meaningful work, balance and flexibility in work-life integration, and a high-trust organization that values integrity and trust. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative and impactful digital products and experiences in collaboration with clients worldwide.,

We are looking for a passionate and skilled Generative AI Specialist with expertise in state-of-the-art AI models and tools to become a valuable member of our team. The ideal candidate should have hands-on experience with transformer-based models, prompt engineering, and fine-tuning large language models (LLMs) for practical applications. As a Generative AI Specialist, your responsibilities will include designing, developing, and implementing Generative AI solutions using models such as GPT, Llama, Claude, and other open-source resources. You will be expected to fine-tune and optimize pre-trained models on specific datasets, build and evaluate prompts, and create retrieval-augmented generation (RAG) pipelines for various LLM applications. Additionally, you will work on developing multimodal models that combine text, image, and/or audio data based on project requirements, collaborating with product, data science, and engineering teams to integrate AI capabilities into our products. It is important to stay updated with the latest developments in generative AI and apply them to solve business problems effectively. Furthermore, you will be responsible for maintaining model performance through testing, benchmarking, and continuous improvements. Key Skills Requirements: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field - Demonstrated expertise in on-premises infrastructure and technologies - 1-3 years of practical experience with Natural Language Processing (NLP) or generative AI models - Proficiency in Python and machine learning frameworks like PyTorch or TensorFlow - Hands-on experience with tools such as Hugging Face Transformers, LangChain, or LlamaIndex - Deep understanding of model fine-tuning, embeddings, and vector databases (e.g., FAISS, Pinecone) - Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure - Strong analytical and problem-solving skills with a collaborative mindset for fast-paced environments - Experience in diffusion models, image/video generation, or speech synthesis - Knowledge of MLOps tools and end-to-end model deployment pipelines - Contributions to open-source AI/ML projects are highly valued Join us at Beinex and enjoy a range of perks including comprehensive health plans, learning and development opportunities, workation and outdoor training, a hybrid working environment, and on-site travel opportunities. Be part of a dynamic team that values innovation and growth.,

You are a skilled Python Developer with expertise in Machine learning and deep learning frameworks. Your primary responsibility will be to handle the entire prompt life cycle, including prompt design, template creation, tuning, and optimization for various GenAI base models. You will design and develop prompts tailored to project requirements and manage stakeholders across business and domains as needed for projects. Your tasks will include evaluating base models, benchmarking performance, implementing prompt guardrails to prevent attacks, developing, deploying, and maintaining auto prompt solutions, and setting minimum design standards for every use case involving prompt engineering. You will also be responsible for training machine learning and deep learning models. As a Python Developer, you will write reusable, testable, and efficient code using Python, design and implement low-latency, high-availability, and performant applications, implement security and data protection measures, integrate data storage solutions and API Gateways, and handle production change deployment and related support. Location: Chennai/Bangalore/Hyderabad Working hours: General Shift Key Skills: Gen AI, LLM, RAG, Lang chain, Mistral, Llama, Vector DB, Azure/GCP/Lambda, Python, Tensorflow, Pytorch, GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox Please note that the job description provided is based on the information available and may be subject to change.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases Conduct data exploration, feature engineering, model training, tuning, and performance evaluation Collaborate with data engineers to develop robust data pipelines and integrate models into production systems Work closely with client and deliver projects in the AI/ML space Contribute to reusable assets, accelerators, and internal capability building Develop and deploy AI solutions on cloud platforms (Azure/ AWS/GCP) using MLOps and containerization Mandatory skill sets: 3+ years of experience in AI/ML engineering, with experience in working in a cloud environment Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI) Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering Strong understanding of autonomous agents, orchestration, and multi-agent systems Excellent communication and stakeholder management skills across geographies Preferred skill sets: Certifications in cloud platforms and AI/ML technologies Exposure to enterprise-grade AI use cases in BFSI, healthcare, retail, or manufacturing Knowledge of Responsible AI, data governance, and compliance frameworks Exposure to Agentic AI, Gen AI Years of experience required: 3 to 12 years Education qualification: BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis + 16 more Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date Show more Show less

Senior Manager - Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About the Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models-training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: We are seeking a highly skilled Senior Data Scientist with a deep understanding of advanced machine learning techniques and frameworks. The ideal candidate will have extensive experience in Python, graph neural networks, and scalable machine learning pipelines. If you are passionate about developing innovative solutions and driving impactful projects, we want to hear from you! This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description: Essential Responsibilities: Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications: Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Preferred Qualification: 5+ years experience in developing and optimizing machine learning models using Python with TensorFlow, Keras, and/or PyTorch. Expertise in Graph Neural Networks (GNNs) for node and link prediction, graph embedding, and graph-based classification. Proven experience in customer segmentation and/or recommendation systems tailored to client needs. Work with transformer models (e.g., BERT, GPT) in real applications, particularly within GenAI workflows. 5+ years experience in building and maintaining scalable ML pipelines using tools such as Kubeflow, MLFlow, Vertex AI, and SageMaker. 5+ years experience in processing and analyzing very large datasets using Spark or similar frameworks. Working with vector databases (e.g., Pinecone) for embedding-based applications including search and similarity tasks. Utilize GCP Services to deploy models at scale, particularly BigQuery and Vertex AI. Experience with GraphRAG and Knowledge Augmented Generation (KAG). Knowledge of Deep Neural Networks, Multi-task Learning (MTL) and AdTech. Subsidiary: PayPal Travel Percent: 0 - PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit . The US national annual pay range for this role is $123,500 to $212,850 P ayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit . For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. Notice to Applicants and Employees who reside within New York City. Click to view the notice.

You are looking for a skilled Python Developer with knowledge of Machine learning and deep learning frameworks to join as a Gen AI Engineer at Wipro Limited. With 4 to 6 years of experience, you will be responsible for the entire prompt life cycle, including prompt design, template creation, tuning, and optimization for various GenAI base models. Your role will involve designing and developing prompts tailored to project requirements, managing stakeholders across business and domains, evaluating base models, and benchmarking performance. You will implement prompt guardrails to prevent attacks and develop, deploy, and maintain auto prompt solutions. Minimum design standards for each use case involving prompt engineering will also be under your purview. In addition, you will train machine learning and deep learning models, write reusable and efficient code using Python, implement low-latency, high-availability applications, ensure security and data protection, integrate data storage solutions and API Gateways, and handle production change deployment and related support. At Wipro, we are reinventing the digital landscape, and we are seeking individuals who are inspired by reinvention and continuous evolution. Join us in building a modern Wipro, a place that empowers you to design your own reinvention and realize your ambitions. We welcome applications from individuals with disabilities. For more information, visit us at www.wipro.com.,

We are seeking an experienced and results-driven AI Developer to become a valuable part of our team. Your main responsibility will involve developing, deploying, and optimizing AI and machine learning models to address real-world business challenges. Collaborating with diverse teams, you will work towards delivering scalable and ethical AI solutions utilizing cutting-edge tools and technologies. You will be involved in various aspects of AI model development and implementation, including data engineering, preprocessing, and feature selection to enhance model inputs. Your role will also focus on designing, building, and validating machine learning and deep learning models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs/LSTMs), Transformers, NLP, computer vision models, reinforcement learning agents, and classical ML techniques. Customizing models to meet specific business requirements will be a key part of your responsibilities. Optimizing model performance, latency, scalability, and resource efficiency, ensuring they are suitable for real-time applications, will be crucial. You will also be responsible for deploying models, managing MLOps pipelines, and integrating models into various systems and applications using APIs or model-serving frameworks. Implementing testing strategies, continuously improving models based on user feedback and performance metrics, and staying abreast of AI/ML advancements and techniques are essential aspects of this role. Collaborating closely with different stakeholders, documenting model architecture, and communicating complex technical topics to non-technical audiences will be part of your routine. In addition to technical skills such as proficiency in Python, experience with libraries like TensorFlow, PyTorch, Keras, Scikit-learn, ML/DL architectures, data manipulation using Pandas, NumPy, SciPy, MLOps tools, Docker, Kubernetes, and CI/CD pipelines, you are expected to possess strong software engineering, analytical, and communication skills. Experience in agile environments and a proven track record in deploying models on cloud platforms are also highly valued. Preferred qualifications include advanced expertise in AI and LLM, domain-specific experience in sectors like healthcare, finance, retail, manufacturing, or customer service, and academic/research background with a strong foundation in statistics and optimization. Hands-on experience with LLMs, familiarity with prompt engineering and RAG, and exposure to vector databases are considered advantageous. Research publications in top AI/ML conferences will be viewed as a significant asset.,

We are seeking a versatile and highly motivated Full Stack Developer to join our fast-paced Generative AI team. As a Full Stack Developer, you will be responsible for designing, developing, and maintaining intelligent, scalable web applications that integrate with cutting-edge AI models and ecosystems such as OpenAI, Hugging Face, and Azure OpenAI. Your role will involve collaborating with cross-functional teams including AI researchers, backend engineers, and UI/UX designers to bring AI-powered features to production, prioritizing performance, reliability, and innovation. Your key responsibilities will include: - Designing, developing, and maintaining full-stack applications with Generative AI capabilities - Building robust APIs and microservices to support AI workflows - Developing responsive and accessible front-end applications using React.js, Next.js, or Angular - Collaborating with the AI/ML team to embed LLMs, vector databases, and custom agents into scalable systems - Optimizing performance and security for production-grade AI integrations - Contributing to prompt engineering, agent orchestration logic, and human-in-the-loop user experience design - Writing comprehensive tests to ensure code quality and stability - Participating in sprint planning, code reviews, and architectural design discussions - Documenting architecture, flows, and model integrations for cross-team clarity Required Skills & Qualifications: - 3+ years of Full Stack Developer experience with Node.js, Python, or .NET - Proficiency in JavaScript/TypeScript and modern front-end frameworks - Deep understanding of RESTful API and GraphQL design principles - Working knowledge of vector databases like Pinecone, Weaviate, FAISS - Experience with cloud platforms and containerization - Comfortable with SQL and NoSQL databases - Familiarity with AI/ML tools & libraries such as OpenAI API, LangChain, Hugging Face, Azure OpenAI - Strong communication, analytical thinking, and team collaboration skills Preferred Skills: - Experience with Azure AI tools and services - Exposure to LLMOps and AI lifecycle tools - Familiarity with agent-based AI frameworks - Understanding of authentication flows and observability tooling - Practical experience with CI/CD pipelines Bonus Points For: - Contributions to open-source AI projects Join us to work on the cutting-edge of AI + software engineering, collaborate with a world-class team, enjoy flexible working hours tailored for US time zone collaboration, and drive innovation at the intersection of LLMs, UX, and backend architecture. Experience building internal tooling or AI agent dashboards and understanding of enterprise compliance and security standards in AI integration are additional advantages. This is a full-time position with a Monday to Friday schedule and in-person work location.,

GlobalLogic is currently engaged in implementing ML/AL/GenAI-powered applications for a multinational industrial conglomerate with the aim of improving business efficiency. Beginning in 2023, GlobalLogic has conducted a Discovery phase and successfully completed 3 pilot projects that covered various use cases in Customer Requirements, Tender Response, and Project Design areas. Now, the company is looking to enhance these pilots by incorporating additional capabilities that have been identified and confirmed with the client's experts throughout the development process. This enhancement will take the applications to the next stage, which is the MVP (Minimum Viable Product) stage. The ideal candidate for this position should have at least 3 years of experience in machine learning and natural language processing. They should also possess proficiency in training and fine-tuning Large Language Models (LLMs) and have experience with RAG architectures and vector databases like Pinecone. A Bachelor's degree in Computer Science, Engineering, or equivalent is also required. Strong problem-solving and analytical skills, along with the ability to conduct experiments and improve model performance, are essential. Additionally, good command of English for effective communication with team members is necessary. Knowledge of Pytorch, Pinecone, LLM fine-tuning, RAG, and vector databases is preferred. As part of the job responsibilities, the selected candidate will be responsible for training and fine-tuning Large Language Models (LLMs) for various applications, implementing and optimizing Retrieval-Augmented Generation (RAG) architectures, working with vector databases like Pinecone to enhance data retrieval capabilities, developing and applying data science and machine learning techniques, collaborating with cross-functional teams to integrate LLMs into products, staying updated with the latest advancements in LLM and machine learning technologies, and conducting experiments and analyzing results to improve model performance. GlobalLogic offers a culture of caring where people are prioritized, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance and flexibility, and a high-trust organization focused on integrity and ethical practices. This position provides the chance to work with cutting-edge technologies and impactful solutions while being part of a global company dedicated to engineering innovation. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to leading companies worldwide. Since 2000, GlobalLogic has been at the forefront of the digital revolution, creating innovative digital products and experiences. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. 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&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role Lead Consultant - Data Scientist - Generative AI of & Advanced Analytics Job Summary: We are looking for a highly motivated Data Scientist with experience in Generative AI (GenAI) to join our advanced analytics team. In this role, you will blend classical data science with cutting-edge GenAI techniques (LLMs, embeddings, RAG) to solve real-world business problems, build intelligent systems, and push the boundaries of AI adoption across domains. Key Responsibilities . Build and deploy Generative AI models using large language models (LLMs) like GPT,Gemini ,Claude, LLaMA, etc. . Design and develop Retrieval-Augmented Generation (RAG) pipelines for enterprise search and summarization. . Perform exploratory data analysis, feature engineering, and apply statistical methods to derive insights. . Work with vector databases (e.g., FAISS, Pinecone, Chroma) and embedding models for semantic search. . Develop and fine-tune prompts for prompt engineering, few-shot learning, and function calling. . Collaborate with product and engineering teams to design AI-driven features and solutions. . Conduct A/B testing, build dashboards, and contribute to ML pipelines in production. . Stay updated with GenAI research and open-source tools evaluate new models and frameworks. . solving high-impact problems involving structured and unstructured data using a wide range of ML/DL techniques. . The ideal candidate is hands-on, self-driven, and passionate about turning data into intelligent systems. . Strong Capabilities on SQL, Python, Vscode/pytorch and have come across using Tensorflow, Keras Qualifications we seek in you! Minimum Qualifications Required: . Bachelor%27s or master&rsquos degree in data science, Computer Science, Statistics, or a related field. . experience in data science, machine learning, or applied AI roles. . Hands-on experience with GenAI platforms (OpenAI, Anthropic, Hugging Face, Cohere, etc.). . Strong Python skills: pandas, scikit-learn, transformers, LangChain, etc. . Experience working with LLMs, embeddings, or chatbot development. . Familiarity with MLOps, model versioning, and deployment in cloud environments (AWS/GCP/Azure). . Experience with RAG architecture, vector databases, and knowledge graphs. . Prior work in text summarization, document intelligence, or multi-modal AI. . Understanding of LLM fine-tuning, PEFT/LoRA, and instruction-tuned models. . Publications, open-source contributions, or GenAI product demos are a strong plus. . Strong in Python, with experience in NumPy, pandas, scikit-learn. . Proficiency in TensorFlow, PyTorch, or JAX. . Familiarity with deep learning concepts: backpropagation, activation functions, loss optimization. . Experience with cloud platforms: AWS, GCP, or Azure. . Comfortable with version control, CI/CD pipelines, and containerized environments (e.g., Docker). Tools & Stack You&rsquoll Work With . LLMs: GPT-4, Gemini . Libraries: Hugging Face Transformers, LangChain, OpenAI API . Vector Stores: FAISS, Pinecone, Weaviate . ML Libraries: Scikit-learn, MLflow, DVC, PyTorch, TensorFlow, XGBoost, scikit-learn . Storage: PostgreSQL, S3, BigQuery . Deployment: Docker, FastAPI, Airflow, Kubernetes . Cloud: AWS/GCP/Azure Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, 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. 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.