1456 Generative Ai Jobs - Page 44

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

AI Architect will play a pivotal role in designing and implementing the technology architecture for AI use cases (including Large Language Model (LLM)) platform systems and solutions. As an AI architect, you will translate business roadmap into technical requirements and architecture. This role will apply natural language processing (NLP) and machine learning concepts and experiences implementing real time business use cases. You will architect large language models (LLMs) and design neural network parameters, leveraging corpus of unlabeled structured and unstructured data, to further enhance the model's capabilities. Responsibilities: . Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery. . Leverage, customize and implement available Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems. . Analyze and evaluate the performance of Gen AI systems and provide design recommendations. . Hands on implementation and troubleshooting supports of Gen AI solutions. . Estimate the effort, time and cost required for deploying an end-to-end solution using LLMs. . Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns. . Analyze and make right technological choices for generative ai solutions. . Design and prototype reusable components for LLM based solution patterns. . Architect components of an LLM solution to address Responsible AI & Security. . Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders. . Create and maintain comprehensive technical documentation that captures the intricate details of the technical architecture, language model, efficient troubleshooting, and future development and maintenance.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , 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 , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, 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 and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 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 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.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , 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 , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, 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 and on , , , and . Inviting applications for the role of Vice President , Data Tech Solutions Architect ! In this role, we are seeking candidates who have deep technical knowledge and a strategic bent to leverage technology for better business outcomes for the Banking and Capital Markets vertical. The candidate must have detailed understanding of a modern Tech stack, hyperscale offerings, key digital technologies Generative AI, AI/ML, etc. Role will be part of the Global Banking and Capital Markets Solutions team, as the evangelist for Alliance Partner Technology, Data/ AI led transformation opportunities in all Solutions created for clients. The role will constantly identify solution gaps, understand emerging client needs and market trends, to create and own a mid to long term Data/ Tech solution roadmap. All of this will be done in close partnership with rest of Genpact ecosystem, i.e., Alliance Partners, Service Lines, Data and Tech Practices in order to deliver top notch solutions. Responsibilities Provide technical leadership to evaluate and adopt Data, Tech and AI solutions from Alliance Partners and Genpact offerings Run the solution management cadence, build and own a periodically refreshed roadmap of Data/ Tech new solutions identified and prioritized through Client and Sales feedback Aim for unified solutioning through consolidated business needs to avoid multiple design and build efforts Collaborate with Alliance Partners and internal teams to create a Tech driven PoV for all solutions, facilitating higher conversions with Clients Fully own first and second level solutioning, orchestrating initial conversations and engage more specialized Genpact teams and Alliance Partners for deeper solutioning Provide thought leadership to Lead Solution Architects on RFPs, with an objective to steer Tech and Data led transformation agenda Build and maintain a comprehensive tech stack view for priority clients to facilitate proactive engagements Create architectural artifacts for new solutions developed, and drive consistency to elevate the Tech quotient in Client engagements Qualifications we seek in you! Minimum Qualifications Bachelor%27s degree in Computer Science , Information Technology, or a related field. Relevant years of experience in IT architecture, with a focus on financial services. Technical Skills: The mandate for this role will be the same as rest of the Global Solutions team, to cover all geographies and to include all Banking and Capital Markets clients where we are responding to Request for Proposals or working on contract renewals or proactively stocking the shelf for targeted solutions. Requires strong organizational, technical and communication skills. Requires strong stakeholder management and ability to influence Proficiency in designing IT solutions. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience in Data Platforms, AI/ GenAI Solutions Experience in architecting and designing solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI. Must have a understanding of low-code/no-code environments and the ability to create scalable, secure and efficient solutions that align with business requirements and best practices. Familiarity with DevOps practices and tools. Knowledge of concept and principles of agile methodology ability to apply appropriate agile approaches in the processes of software development and delivery. The mandate for this role will be the same as rest of the Global Solutions team, to cover all geographies and to include all Banking and Capital Markets clients where we are responding to Request for Proposals or working on contract renewals or proactively stocking the shelf for targeted solutions. Requires strong organizational, technical and communication skills. Requires strong stakeholder management and ability to influence across multiple levels of leadership, while leveraging the different capabilities at Genpact to deliver maximum value for Clients. Must work well in a dynamic, complex environment and under deadline pressures. Preferred Qualifications/ Skills Consulting experience - demonstrated ability to convey value proposition, differentiators in a compelling manner to win new relationships/opportunities Transformation experience - demonstrated ability to design and execute operational transformation. Experience of running day to day operations would be an added advantage Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 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 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.

JOB DESCRIPTION Title: Senior Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). ¢ Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Role & responsibilities ole Overview As an AI Voice & LLM Integration Developer, you will play a pivotal role in building and optimizing Your work will focus on: • Integrating GPT's ASR (speech-to-text) and TTS (text-to-speech) APIs into our platform. • Handling real-time voice streaming from VoIP/SIP systems. • Optimizing low-latency communication between AI models and telephony platforms (e.g., FreeSWITCH, WebRTC). • Supporting PBX call routing & handoWs with AI agents. • Ensuring high-quality, natural-sounding AI-driven voice interactions. Key Responsibilities Design and develop real-time voice processing pipelines for AI-driven conversations. • Integrate OpenAI's Whisper (ASR) and TTS APIs with VoIP and WebRTC systems. • Develop low-latency audio streaming middleware between telephony providers(Telnyx, Bandwidth) and GPT. • Work with SIP and WebRTC to ensure seamless audio transmission. • Implement PBX call routing and AI handoW mechanisms (e.g., transferring AI-handled calls to human agents). • Optimize AI voice latency and response times for a real-time, natural experience. • Collaborate with VoIP engineers to integrate AI capabilities into SIP-based systems. • Design APIs to manage AI-driven IVR workflows and customer interactions. • Ensure compliance with telephony regulations (e.g., STIR/SHAKEN, call recording laws). • Monitor system performance and implement scalability strategies for voice interactions. Required Qualifications AI & LLM Integration o Experience integrating GPT APIs (ChatGPT, Whisper, TTS engines) for voice applications. o Understanding of real-time AI voice processing and conversational AI workflows. Voice & Audio Streaming Experience working with low-latency, real-time audio streaming. o Familiarity with WebRTC, SIP/RTP, and VoIP streaming. Programming & Middleware Development Proficiency in Python, Node.js, or Go for API and middleware development. o Experience developing RESTful APIs and real-time streaming solutions. VoIP & Telephony Knowledge Familiarity with SIP, FreeSWITCH, Asterisk, or other PBX platforms. o Experience working with SIP trunking providers (Telnyx, Bandwidth, Flowroute, etc.). Performance & Optimization Ability to reduce latency in AI-driven conversations. o Experience with audio codec optimization (G.711, Opus, etc.). One or more of the following additional qualifications: Experience with STT/ASR models beyond GPT (Google Speech-to- Text, Deepgram, Kaldi). o Background in signal processing or audio engineering. o Familiarity with cloud-based voice solutions (AWS Connect, Twilio Voice, Dialogflow CX). o Knowledge of containerization (Docker, Kubernetes) for scaling AI voice workloads. o Experience with multi-tenant architectures for voice AI.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Amlgo Labs is Hiring | 2 Exciting Roles Available! Location: Gurugram (Hybrid) | Job Type: Full-Time Company Website: https://amlgolabs.com/ Position 1: Junior AI Engineer (Fresher LLMs & Generative AI Focus) Experience: 01 Year | Department: Artificial Intelligence / R&D About the Role: Join our cutting-edge AI team working on Large Language Models (LLMs), Generative AI, and automation solutions. Ideal for recent graduates passionate about machine learning, natural language processing, and prompt engineering. Key Responsibilities: Work with LLMs (e.g., OpenAI, Hugging Face) for development, fine-tuning, and integration Design effective prompts to optimize model performance Assist in deploying generative AI applications (text/code/image) Build Python-based AI/ML pipelines and evaluate models Collaborate with data teams for dataset management and preprocessing Monitor model behavior in production environments Document experiments, results, and technical workflows Required Qualifications: Bachelors in CS, Engineering, Data Science, or related field 01 year experience in AI/ML or relevant project work Proficiency in Python and libraries (NumPy, pandas, scikit-learn, matplotlib) Basic ML understanding and exposure to LLMs (GPT, LLaMA, etc.) Familiarity with Hugging Face, OpenAI API is a plus Awareness of ETL/data engineering practices Position 2: Full Stack Developer Experience: 0-1 Year | Department: Software Development About the Role: We are seeking a driven Full Stack Developer to build robust, scalable, and user-friendly web applications. You will work on both frontend and backend development, ensuring seamless performance from code to deployment. Key Responsibilities: Develop dynamic UIs using React.js, Next.js, TypeScript, Tailwind CSS, HTML/CSS Create backend services and RESTful APIs with Node.js and Python Work with MongoDB for NoSQL database management Manage deployments using Docker, VPS, Linux, and Nginx Collaborate cross-functionally to build high-quality solutions Conduct code reviews and continuously improve development practices Debug across various environments and optimize application performance Required Skills: Solid knowledge of JavaScript and TypeScript Experience in React.js, Next.js, Tailwind CSS, HTML, CSS Hands-on experience with Node.js and Python backend Familiarity with MongoDB and cloud/server deployments Understanding of RESTful API principles and modern dev tools Strong analytical and debugging skills About Us: Amlgo Labs is building the next generation of AI-driven solutions, with a focus on Large Language Models (LLMs), Generative AI, and intelligent automation. We're seeking curious and motivated individuals who want to work at the cutting edge of AI.

As a AI Developer specializing in Chatbots, you will be instrumental in designing, building, and deploying sophisticated conversational AI solutions. You will work across the entire AI lifecycle, from research and prototyping to production deployment and MLOps, with a particular focus on leveraging LLMs, RAG techniques, and agentic workflows to create intelligent and highly performant chatbots. Your expertise will directly contribute to enhancing customer interactions, automating processes, and delivering innovative AI-driven experiences. Key Responsibilities: Lead the design, development, and deployment of end-to-end AI solutions, with a significant emphasis on advanced chatbot systems, using LLMs (e.g., Llama-3, OpenAI, Gemini), LangChain, and LangGraph. Architect and implement sophisticated agentic AI workflows to enable multi-step reasoning, tool utilization, and autonomous task execution for complex business processes within chatbot applications. Develop and optimize scalable Retrieval-Augmented Generation (RAG) pipelines for real-time, context-rich information retrieval in conversational AI, utilizing vector databases like FAISS, Weaviate, and Pinecone. Build and containerize robust backend services for AI applications and chatbots using frameworks like FastAPI and Docker, ensuring seamless deployment on cloud platforms (AWS/GCP) through CI/CD pipelines. Integrate and manage comprehensive MLOps workflows for model versioning, performance monitoring, automated retraining, and continuous integration/continuous deployment (CI/CD) specifically for chatbot models (e.g., using MLflow, Airflow, Kubeflow). Fine-tune and optimize pre-trained LLMs and deep learning models (e.g., BERT, LSTM) for domain-specific text generation, sentiment analysis, text classification, Named Entity Recognition (NER), and contextual intent detection in chatbot contexts. Collaborate with cross-functional teams (product managers, UI/UX designers, data engineers) to translate business requirements into technical specifications for AI-driven features and chatbot functionalities. Stay abreast of the latest advancements in AI, NLP, LLMs, and conversational AI, continuously evaluating and implementing new technologies to improve our solutions. Mentor junior developers and contribute to best practices in AI development and MLOps. Perks and benefits: PF Insurance Contact Details: Deepanshi Jain (HR): 9717632996

SDE - 2 (Python + GenAI) Experience: 3 - 5 Years Exp Salary : INR 25-30 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : AWS, Python, microservices, Restful APIs, Generative AI, Django Good to have skills : AI/ML, E-Commerce, Fintech, open-source, FastAPI Lyzr (One of Uplers' Clients) is Looking for: SDE - 2 (Python + GenAI) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What Youll Do Own development of scalable backend systems for production-grade applications Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Design and implement RESTful APIs, microservices, and data models Own payment gateway integrations (e.g., Razorpay, Stripe, etc.) and ensure secure, seamless transactions Architect and deploy backend solutions across cloud platforms (AWS, GCP, etc.) Build and maintain resilient infrastructure to support high-traffic applications Collaborate with frontend, DevOps, and product teams to ship end-to-end features Optimize systems for performance, reliability, and scalability Drive code quality, system security, and architectural best practices What Were Looking For 35 years of experience in backend development with end-to-end ownership of feature delivery Proficiency in Python Strong knowledge of relational and non-relational databases Proven experience with payment gateway integration and order processing systems Experience designing scalable systems and working with event-driven or distributed architectures Familiarity with Docker, Kubernetes, CI/CD pipelines, and monitoring tools Ability to translate business needs into robust technical solutions Excellent debugging, communication, and collaboration skills Nice to Have Experience working in start-ups or fast-paced product teams Exposure to AI/ML-based systems or microservice architectures Prior experience in fintech or e-commerce platforms Contributions to open-source backend projects Interview Process : Technical Round -1 Technical Round -2 CTO Round ( Past projects + Tech stack ) How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: The best way to build safe and reliable AI Agents, Automate repetitive tasks and workflows with our no-code platform or choose from thousands of pre-built agents for immediate impact. About Uplers: Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India. With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently. Experience a simpler, faster, and more reliable hiring process with Uplers today.

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Role Responsibilities: Lead full-cycle AI/ML projects aligned to business goals Guide the team in model development and implementation using advanced frameworks Drive research in Generative AI and LLMs (e.g., GPT, BERT) Collaborate across functions to identify AI-driven growth opportunities Key Deliverables: Successful delivery of high-impact AI projects AI roadmap and strategic planning documentation Mentorship and upskilling of ML team Quality-assured, production-ready ML models using cloud MLOps tools

Role Responsibilities: Build and deploy LLM-based NLP and content generation solutions Fine-tune models, develop RAG pipelines, and conduct prompt engineering Integrate AI workflows using Python, LangChain, and vector databases Optimize AI systems for production performance and cost Key Deliverables: Scalable GenAI solutions integrated into enterprise apps Custom LLMs with fine-tuning and embeddings Deployment-ready ML pipelines using AWS/Azure/GCP Documentation and collaboration on ethical AI practices

Role Responsibilities: Build and deploy LLM-based NLP and content generation solutions Fine-tune models, develop RAG pipelines, and conduct prompt engineering Integrate AI workflows using Python, LangChain, and vector databases Optimize AI systems for production performance and cost Key Deliverables: Scalable GenAI solutions integrated into enterprise apps Custom LLMs with fine-tuning and embeddings Deployment-ready ML pipelines using AWS/Azure/GCP Documentation and collaboration on ethical AI practices

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

Engineering Leader This role requires a strategic thinker who can drive innovation, enhance system scalability, and mentor engineering teams to build world-class AI-driven applications. Required candidates Profile Minimum 15 years of experience to lead a team of full-stack and backend developer s. strong expertise in software architecture, modern cloud technologies, and hands-on experience with Generative AI. Required Skills & Qualifications: Technical Leadership: Proven experience in leading engineering teams, setting technology vision, and executing large-scale projects. Architect and lead the development of scalable, high-performance full-stack applications using Node.js, React.js, and Java to power cutting-edge products. Design and implement microservices-based, event-driven architectures with RESTful & GraphQL APIs , ensuring seamless user experiences. Optimize system performance, scalability, and reliability , leveraging caching (Redis), database tuning (PostgreSQL, MongoDB), and load balancing strategies . Oversee CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments across AWS, GCP, or Azure to support continuous innovation. Implement security best practices (OAuth, JWT, OWASP) while ensuring compliance with industry standards for scalable product security . Guide teams in writing high-quality, scalable, maintainable, and test-driven code (Jest, Mocha, JUnit) to support long-term product evolution . Lead frontend architecture decisions, focusing on SSR, hydration strategies, and component-based design to enhance performance and user engagement. Drive observability and monitoring through logging (ELK, Datadog), tracing, and real-time system insights (Prometheus, Grafana) to improve user experience. Collaborate with DevOps teams to automate infrastructure and optimize deployment using Infrastructure as Code (Terraform, Ansible) . Stay ahead of emerging technologies , continuously improving system scalability, developer productivity, and product innovation . Preferred Qualifications: Prior experience in AI-driven products or SaaS applications. Experience in handling large-scale distributed systems and real-time processing. Understanding of security best practices in cloud-native applications. Contributions to open-source projects or research in AI/ML. contact dreamjobs@intellisearchonline.net

Hello Everyone, Optum is hiring Java Developer with AI ML flavor at Gurgaon/Noida. Primary Skills: Java, Spring, GenAI, Splunk/Dynatrace/New Relic, AWS/GCP/Azure, Deep Learning Experience: 7 yrs to 11 yrs Notice Period: Immediate to 45 days Location: Gurgaon/Noida Job Description: Experience in AI Ops that includes AI/ML Models quality monitoring and alerting, AI/ML Model development and continuous improvement, incident triage, troubleshooting, monitoring, continuous innovation Strong knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline. 7+ yrs of experience Java development. Hands-on experience on AI ML (Min 6 months - 1 yr in project) Experience working with data analysis (e.g., Splunk, Dynatrace, New Relic) tools. Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP). Solid incident management skills, with a data-driven and analytical approach to diagnosing complex issues Excellent problem-solving and troubleshooting skills. Ability to work collaboratively with a diverse team of engineers, architects, and developers. Ability to work independently and in a team environment Nice to Have Machine Learning certifications. Experience in a Healthcare Payer enterprise. Proficient in CRM platforms, such as Salesforce. Knowledge of data privacy regulations and practices. Experience in training team members on machine learning technologies and applications. Strong communication and project management skills. Ability to work independently and in a team environment Interested can share their updated CV at mohammad_ayub@optum.com. Thanks and Regards, Arshad Ayub - Talent Scout Optum mohammad_ayub@optum.com

Develop Deep Learning models, focusing on NLP, Large Language Models (LLMs), and Generative AI. Expertise in NLP techniques (e.g., text classification, sentiment analysis, text generation).

Our client is leading Global IT Service and Consulting Organization Role : Gen AI Lead/ Architect Exp : 10+ years Location. : Bangalore, Chennai, Hyderabad NP: Immediate to 30 days Job Description : Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4

Generative AI Engineer Python and FastAPI,deploying generative AI models (LLMs, GANs, VAEs) in production environmentsRAG, embeddings,RESTful APIsmanaging secure APIDocker and KubernetesSQL and NoSQL databases(AWS, Azure, GCP)

Key Skills & Qualifications: Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applicationsnot just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.

Role - Sr Data Scientist Location - Gurgaon Work from Office - 5 Days What skills would you possess: • Total Experience: 3-5 years in data science - Gen- AI or related field. • Preferred Educational Background: Advanced degree in a relevant field (e.g., Computer Science, Data Science, Machine Learning). Technical Skills: • Strong expertise in NLP, chatbot development, deep learning, LLMs, Prompt Engineering & Fine tuning. Proficient in machine learning models: XGBoost, Random Forest, SVM. Experience with Dialog Flow and Rasa integration. Proficient in Python, PyTorch, Python packages, and related IDEs. Familiarity with Agile development methodologies. Experience with Jenkins and GitHub for CI/CD Communication Skills: Excellent verbal and written communication skills. If you are a motivated and skilled data scientist with a proven track record in NLP, chatbot development, deep learning, and machine learning models, we invite you to apply for the Senior Data Scientist position at Mobikwik. Join us in shaping the future of data-driven solutions in the fintech industry. Girish Gupta https://www.linkedin.com/in/igirishgupta/

Role & responsibilities We are seeking a highly experienced Generative AI Architect to lead the design and development of an AI platform that leverages Large Language Models (LLMs) and other cutting-edge AI technologies. In this role, you will be responsible for architecting scalable systems that process unstructured data (such as PDFs of technical documents) and generate structured outputs. You will collaborate with data scientists, engineers, and product teams to build an end-to-end AI-driven platform for real-world applications. Skills Required: GenAI (LMM) Technology & Architecture Cloud (AWS) Based solution dev. (EC2, AWS Bedrock, EKS, microservices) LLM & Transformer based models - Selection, integration and optimization Data pipeline engineering Product security