1443 Generative Ai Jobs - Page 13

We are looking for talented Python Developers with 3 - 6 years of hands-on experience in Natural Language Processing (NLP) and Generative AI Models to join our growing team working on innovative projects in enterprise scale AI applications and solutions. Responsibilities: Design, evaluation, and best fit analysis of NLP / ML Models Design, fine-tuning, and deployment of open-source and API-based LLMs to solve real-world use cases Engage with clients for data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents. Lead efforts to address challenging data science and machine learning problems, spanning predictive modeling to natural language processing, with a significant impact on organizational success. Building data ingestion pipelines, handling various data formats such as JSON and YAML. Technical Qualifications: Strong in data collection, curation, and dataset preparation for ML Models (Classifiers / Categorization). Demonstrable expertise in area of data science or analytics (e.g., machine learning, deep learning, NLP, predictive modeling and forecasting, statistics). Strong experience in machine learning (unsupervised and supervised techniques) and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc would be a plus. SQL expertise for data extraction, transformation, and analysis. Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks. Proficiency in Python, with experience in libraries such as PyTorch or TensorFlow. Solid understanding of data structures, embedding techniques, and vector search systems. Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB. Proficiency in Graph Databases Neo4j. Generic Qualifications: Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions. Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines. Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work. Able to write maintainable and functionally tested modules. You should not hesitate in learning and building innovative solutions in newer technology stacks. Others: Candidate should be willing to relocate or commute to North Bangalore (Yelahanka) for work.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

Job Title: Content Strategist Data Science / AI / ML Company: Great Learning Experience: 2-6 Years Location: Bangalore Education: B.E./B.Tech/M.Tech/M.Sc in CS, Data Science, Statistics, or related fields Key Skills: Data Science, Machine Learning, Artificial Intelligence, Generative AI, Python, R, Instructional Design, Technical Writing, Content Strategy, Educational Content Creation Job Description Were looking for a technically strong and creatively driven Content Strategist to design and deliver high-impact learning content in Data Science, Machine Learning, and AI/GenAI . Youll collaborate with SMEs, video teams, and instructional designers to shape the future of online learning for professionals across 170+ countries. This role is ideal for someone from a DS/ML/Analytics background who wants to influence how complex concepts are taught, while staying at the edge of emerging technologies. Responsibilities Curate and develop engaging educational content in DS/ML/AI. Collaborate with SMEs and design teams to build structured learning journeys. Ensure clarity, accuracy, and relevance across video and written formats. Stay current with AI/GenAI trends and apply them to content design. Manage timelines and feedback loops across cross-functional teams. Requirements 4+ years of experience in Data Science / Analytics / ML Strong grasp of Python, R, Statistics, and ML concepts. AI/GenAI knowledge is a plus (or eagerness to learn is a must). Excellent communication skills and the ability to simplify technical content. Experience in EdTech or instructional design is preferred. Why Join Us? Be part of an award-winning EdTech leader revolutionizing upskilling and career transformation through cutting-edge learning. Work with global university partners like MIT, UT Austin, IIT Bombay, and more. About Us: Great Learning is one of the worlds leading EdTech platforms for professional and higher education, with 12M+ learners across 170+ countries. Learn more: https://www.mygreatlearning.com/about-us

Job Title: Content Strategist - Data Science / AI / ML Company: Great Learning Experience: 2-6 Years Location: Bangalore Education: B.E./B.Tech/M.Tech/M.Sc in CS, Data Science, Statistics, or related fields Key Skills: Data Science, Machine Learning, Artificial Intelligence, Generative AI, Python, R, Instructional Design, Technical Writing, Content Strategy, Educational Content Creation Job Description Were looking for a technically strong and creatively driven Content Strategist to design and deliver high-impact learning content in Data Science, Machine Learning, and AI/GenAI . Youll collaborate with SMEs, video teams, and instructional designers to shape the future of online learning for professionals across 170+ countries. This role is ideal for someone from a DS/ML/Analytics background who wants to influence how complex concepts are taught, while staying at the edge of emerging technologies. Responsibilities Curate and develop engaging educational content in DS/ML/AI. Collaborate with SMEs and design teams to build structured learning journeys. Ensure clarity, accuracy, and relevance across video and written formats. Stay current with AI/GenAI trends and apply them to content design. Manage timelines and feedback loops across cross-functional teams. Requirements 2+ years of experience in Data Science / Analytics / ML Strong grasp of Python, R, Statistics, and ML concepts. AI/GenAI knowledge is a plus (or eagerness to learn is a must). Excellent communication skills and the ability to simplify technical content. Experience in EdTech or instructional design is preferred. Why Join Us? Be part of an award-winning EdTech leader revolutionizing upskilling and career transformation through cutting-edge learning. Work with global university partners like MIT, UT Austin, IIT Bombay, and more. About Us: Great Learning is one of the worlds leading EdTech platforms for professional and higher education, with 12M+ learners across 170+ countries. Learn more: https://www.mygreatlearning.com/about-us

Data Scientist/ Machine Learning Engineer with exp of PROMPT, python (must) Gen AI (Must). Proven ability to write clear and specific instructions for LLM and diffusion models ( It can be from open AI / Microsoft AZURE / AWS ),

Hello All, Urgent job openings for Data Science Lead & Architect role @ Remote. Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (vinay.kondapalli@smarkinfosolutions.com). Mention Subject Line :- Applying for Data Lead Or Architect @ Remote Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Looking for Serving candidates only (15-30 days) Preffered Location -: Hyd or Bangalore or Remote - Job Description : We are looking for a Data Scientist Lead/Architects for one of service based Organization. Mandatory Skills- Generative AI, Python , LLM, Agentic Ai , RAG, Langchain Role : As a Gen AI Lead /Architect your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems: As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Req Skills : GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills.. Responsibilities : Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Thanks & Regards, Vinay Kondapalli, vinay.kondapalli@smarkinfosolutions.com Sr.IT Recruiter

As a Senior SEO Specialist at Interactive Bees located in Delhi NCR, you will be responsible for developing and implementing advanced SEO strategies that encompass on-page, off-page, and technical aspects. With over 5 years of experience in core SEO, you will lead keyword research, competitive analysis, and content audits to ensure optimal performance in an ever-evolving digital landscape. Your role will involve working closely with Large Language Models (LLMs) and Generative AI tools to optimize content workflows with tools like ChatGPT, Claude, Jasper, etc. You will integrate Generative AI into SEO content pipelines while upholding quality, originality, and E-A-T standards. Collaborating with developers and content teams, you will implement SEO best practices on websites and landing pages. Monitoring and reporting on SEO performance using tools such as GA4, GSC, SEMrush/Ahrefs, and LLM-driven dashboards will be a crucial part of your responsibilities. Staying abreast of AI advancements in search, such as SGE, AI snippets, and multimodal SEO, will ensure that you remain ahead of the curve in SEO strategies. Preferred skills for this role include a deep understanding of Google algorithms, indexing, crawling, and structured data. Experience in using and optimizing prompts with LLMs for SEO content generation is highly desirable. Familiarity with AI-powered SEO tools like Surfer SEO, MarketMuse, and Frase will be advantageous. Additionally, knowledge of schema markup, page speed optimization, and technical audits is essential. If you have experience in integrating LLMs with CMS or SEO platforms, an understanding of prompt engineering, or exposure to Python and automation scripts for SEO tasks, it would be considered a bonus. Prior experience in optimizing content for AI search experiences, such as SGE and Bing Chat, will also be beneficial. Joining Interactive Bees offers you the opportunity to work on cutting-edge SEO and AI projects for leading brands. You will be part of a collaborative and growth-focused team culture with opportunities to experiment with new tools and AI models. Competitive salary along with performance incentives make this role even more rewarding.,

As a Senior .NET Full Stack Developer in Lucknow, U.P. (Onsite role), you will be responsible for both front-end and back-end web development. With over 7 years of experience, you will leverage your expertise in a 40% Frontend focus encompassing Angular, React, and JavaScript, complemented by a 60% Backend emphasis on .NET, C#, and experience with Generative AI, Conversational AI, Azure, Cosmos DB, and the Microsoft Bot Framework. Your proficiency in .NET, C#, and .NET Core web APIs, along with any server-side platform, will be essential. You will showcase your skills in JQuery, Bootstrap, and the latest JavaScript frameworks such as Angular and React. Additionally, your expertise in Database design, including SQL Server, writing SQL scripts, stored procedures, and query optimization will be crucial. You will excel in working with various REST APIs, consuming data, and executing GET, PUT, and POST calls. Your ability to develop APIs that are easily consumable by others will be a key aspect of your role. Furthermore, your problem-solving skills and analytical mindset will be pivotal in meeting project requirements. It is important to note that the aforementioned requirements are foundational, as you will also be involved in projects related to Generative AI, Conversational AI, Azure, Cosmos DB, and the Microsoft Bot Framework.,

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what's next for their businesses. In this role, you will lead the design, implementation, and optimization of SAP Project System (PS) solutions including SAP Portfolio & Project Management (PPM), SAP Commercial Project Management (CPM) and support end-to-end project lifecycle management. You will collaborate with business and IT stakeholders to understand the current state, aspiration, and fit-gap analysis. Additionally, you will be responsible for designing and deploying R&D projects, customer projects, and plant maintenance project scenarios in SAP S/4HANA. Integration of SAP PS/PPM/CPM with modules like FI, CO, MM, SD, PM, and PP to ensure seamless project execution and financial tracking will be a key aspect of your role. You will also support project budgeting, forecasting, progress tracking, and reporting while ensuring compliance, audit readiness, and continuous improvement of project management processes. Identifying and developing opportunities at clients to enhance Capgemini's value offer will also be part of your responsibilities. To be successful in this role, you are required to have 6 to 10 years of consulting experience in designing and deploying SAP S/4HANA PS and related processes. Experience in owning project delivery/work streams encompassing discovery workshops, fit-gap analysis, configuring, testing, training, and cutover is essential. Excellent communication, client management, and negotiation skills are also necessary for this position. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, offering options like remote work and flexible work hours. We are committed to your career growth and offer an array of career growth programs and diverse professions to support you in exploring a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a team of over 340,000 members in more than 50 countries, Capgemini is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. The Group's end-to-end services and solutions leverage strengths from strategy and design to engineering, fueled by market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem.,

As a Data Scientist specializing in Natural Language Processing (NLP), Computer Vision, Generative AI, and IoT data processing, you will play a pivotal role in the development and optimization of cutting-edge AI solutions at Comsense Technologies in Mumbai, India. Your primary responsibilities will include designing, building, and fine-tuning machine learning models for various AI applications, such as text generation, summarization, image synthesis, and IoT data analysis. Your expertise in deploying AI models on cloud (Azure) and edge environments will be crucial for ensuring scalability, security, and high availability. You will be responsible for developing robust monitoring systems to track model performance and data drift in production environments. Additionally, your role will involve collaborating with cross-functional teams, including product managers, IoT engineers, and software developers, to deliver end-to-end AI solutions. To excel in this role, you must possess strong proficiency in Python, SQL, and Azure cloud services. Experience with CI/CD pipelines, model monitoring, and performance optimization is essential. Moreover, familiarity with ML frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs, as well as data pipeline tools like Airflow, will be advantageous. Your background in IoT protocols, real-time data processing frameworks, containerization using Docker, and orchestration with Kubernetes will be beneficial for integrating AI solutions into IoT ecosystems. With a solid understanding of MLOps best practices, you will be able to implement scalable AI solutions on cloud architecture effectively. If you have hands-on experience with edge deployment technologies, speech processing, translation APIs, streaming data solutions, AutoML tools, feature stores, and data versioning, it will be considered a plus. Your ability to stay updated on state-of-the-art AI technologies and conduct research for innovative solutions will be highly valued in this role. Join our dynamic AI-driven team at Comsense Technologies and contribute to pioneering AI-driven solutions that will shape the future of technology.,

The role of S&C GN AI - Insurance AI Generalist Consultant at Accenture Global Network involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a Team Lead/Consultant at Bengaluru, BDC7C location, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. In this position, you will be part of a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. You will work on architecting, designing, building, deploying, delivering, and monitoring advanced analytics models, including Generative AI, for various client problems. Additionally, you will develop functional aspects of Generative AI pipelines and interface with clients to understand engineering/business problems. The ideal candidate for this role should have 5+ years of experience in data-driven techniques, a Bachelor's/Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field, and a solid foundation in Statistical Modeling and Machine Learning algorithms. Proficiency in programming languages such as Python, PySpark, SQL, Scala is required, as well as experience implementing AI solutions for the Insurance industry. Strong communication, collaboration, and presentation skills are essential to effectively convey complex data insights and recommendations to clients and stakeholders. Furthermore, hands-on experience with Azure, AWS, or Databricks tools is a plus, and familiarity with GenAI, LLMs, RAG architecture, and Lang chain frameworks is beneficial. This role offers an opportunity to work on innovative projects, career growth, and leadership exposure within Accenture, a global community that continually pushes the boundaries of business capabilities. If you are a motivated individual with strong analytical, problem-solving, and communication skills, and the ability to thrive in a fast-paced, dynamic environment, this role provides an exciting opportunity to contribute to Accenture's future growth and be a part of a vibrant global community.,

We are looking for a highly motivated and experienced data scientist to lead our team of Gen-Ai Engineers. As a data scientist, you will oversee all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a strong passion for artificial intelligence and will stay updated with the latest advancements in this field. Your responsibilities will include utilizing frameworks like Langchain to develop scalable AI solutions, integrating vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities, and collaborating with cross-functional teams to define problem statements and prototype solutions using generative AI. It will also involve ensuring the robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. You will be required to explore and visualize data to gain insights, identify differences in data distribution that could impact model performance in real-world deployment, verify and ensure data quality through data cleaning, supervise the data acquisition process if additional data is needed, find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines, train models, tune hyperparameters, analyze model errors, and devise strategies to overcome them. You will also be responsible for deploying models to production. The ideal candidate should have a Bachelors/Masters degree in computer science, data science, mathematics or a related field, along with 3-10 years of experience in building Gen-Ai applications. Preferred skills include proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis, expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, specialization in Deep Learning (NLP) and statistical machine learning, strong Python skills, experience in developing production-grade applications, familiarity with Langchain framework and vector databases, understanding and experience with retrieval algorithms, working knowledge of Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive, and familiarity with deploying applications on Ubuntu/Linux systems. Excellent communication, negotiation, and interpersonal skills are also essential for this role.,

AI-Enabled Solution Architect - Data Modernization, GenAI & Business Impact We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients. Youll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions. Job Responsibilities 1 Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. 2 Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON). 3 Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multi-modal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). 4 Drive data quality through embedded validation, monitoring, and automated reporting frameworks. 5 Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support. 6 Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. 7 Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross-functional collaboration, and delivery excellence. 8 Champion AI and data architecture as strategic enablers of business transformation—linking technology decisions directly to measurable client outcomes. 9 Team collaboration: Collaborate effectively with cross-functional teams to understand their data requirements and provide data modelling expertise as needed. . Requirements : Programming & APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2 GenAI & Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search) AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Excellent analytical and problem-solving skills , with the ability to understand complex data relationships. Strong communication and interpersonal skills , with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders. Prior experience in mentoring and guiding junior team members is a plus . Ideal Background Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges. ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED : We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving.We take our work seriously but not ourselves.It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us! Equal Employment Opportunity and Nondiscrimination Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased, and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply. Revised 23/7/2025

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. You would be working on: - Developing and implementing Generative AI / AI solutions on Google Cloud Platform - Working with cross-functional teams to design and deliver AI-powered products and services - Developing, versioning, and executing Python code - Deploying models as endpoints in Dev Environment - Having a solid understanding of python - Utilizing deep learning frameworks such as TensorFlow, PyTorch, or JAX - Working on Natural language processing (NLP) and machine learning (ML) - Utilizing Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI, etc. - Providing Generative AI support in Vertex, specifically hands-on experience with Generative AI models like Gemini, vertex Search, etc. Your Profile should include: - Experience in Generative AI development with Google Cloud Platform - Experience in delivering an AI solution on VertexAI platform - Experience in developing and deploying AI Solutions with ML What you'll love about working here: - You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. - You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work. - You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

About Us Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore. We Are An Equal Opportunity Employer: Job Description Role & Responsibilities: Strategic Advisory & Transformation Leadership: Consulting Excellence: Provide expert consulting on global S2P suite implementations, offering tailored best practices and roadmap strategies to maximize value realization and adoption. Value Articulation: Define and present compelling value propositions and ROI metrics of Zycus S2P suite, benchmarking against other leading procurement platforms in the market. Customer-Centric Solutions: Understand unique customer procurement landscapes and pain points to propose scalable, future-ready, and business-aligned implementation solutions. Global Program Execution: Lead and support consulting engagements across multiple geographies, ensuring consistent global rollout strategies while adapting to regional compliance and business nuances. Thought Leadership & Domain Expertise: Executive Communication & Influence: Demonstrate exceptional written and verbal communication skills to influence senior leadership, drive boardroom discussions, and deliver high-impact presentations. Collaboration & Enablement: Work closely with internal stakeholders including Product, Pre-sales, Customer Success, and Delivery teams to ensure seamless end-to-end customer transformation. AI-Driven Consulting Acumen: Leverage Generative AI and advanced analytics to deliver smarter procurement insights, predictive recommendations, and strategic automation opportunities. Job Requirement Domain expertise in leading procurement platforms such as SAP Ariba, Coupa, Ivalua, GEP SMART, SAP HANA, or similar cloud-based suites. Strong consulting and advisory skills, with the ability to engage and influence C-level stakeholders on procurement transformation strategies. Ability to define and articulate value realization frameworks, ROI metrics, and compare Zycus" suite with other market offerings. Hands-on expertise in solution design, configuration, and UAT management. Excellent verbal and written communication skills with the ability to deliver impactful executive-level presentations and documentation. Global exposure working with clients across geographies and industries. Strategic mindset with a passion for process optimization, change management, and procurement innovation. Familiarity or working knowledge of Generative AI and its use cases in consulting or digital procurement transformation is a strong plus. Five Reasons Why You Should Join Zycus Pioneer in Cognitive Procurement: Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises Fast Growing: Growing Region at the rate of 30% Y-o-Y Global Enterprise Customers: Work with Large Enterprise Customers globally to drive Complex Global Implementation on the value framework of Zycus AI Product Suite: Steer next gen cognitive product suite offering,

As a member of the 7-Eleven Global Solution Center team, you will have the opportunity to take ownership and responsibility within specific product areas, contributing to end-to-end solution delivery. You will support local teams and integrate new digital assets while challenging yourself to work on products deployed across a vast network of convenience stores processing over a billion transactions annually. Your role will involve building scalable solutions to address the diverse needs of 84,000+ stores in 19 countries. At 7-Eleven GSC, you will experience growth through cross-functional learning opportunities and be encouraged to embody leadership and service in meeting the needs of customers and communities. We are guided by our Leadership Principles at 7-Eleven, each of which is associated with specific behaviors that help us serve customers and support stores effectively. As a part of the team, you will be expected to be customer-obsessed, courageous in expressing your views, challenge the status quo, act like an entrepreneur, maintain a can-do attitude, do the right thing, and be accountable for your actions. 7-Eleven Global Solution Center is currently seeking a highly skilled senior AI/ML engineer to design, implement, and deploy innovative and efficient AI/ML solutions. The ideal candidate will possess extensive experience in Langchain, NLP, RAG-based systems, Prompt Engineering, Agentic Systems, and cloud platforms such as Azure and AWS. You will be responsible for building AI-driven applications and optimizing Langchain, Gen AI, and NLP models for specific use cases. Additionally, you will experiment with different machine learning models, propose feasible solutions quickly, and communicate effectively with leadership. The qualifications required for this role include 3-5 years of experience in AI/ML engineering, proficiency in Python and machine learning frameworks like TensorFlow and PyTorch, expertise in Generative AI, NLP, and conversational AI technologies, and experience in building and deploying AI-powered applications at scale. You should also have a strong understanding of machine learning algorithms, structured and unstructured data, model evaluation metrics, and business requirements translation into technical requirements. A bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is necessary, along with familiarity with Git versioning tools and exposure to the retail industry. At 7-Eleven Global Solution Center, we are committed to diversity in the workplace and focus on workplace culture, diverse talent, and our engagement with the communities we serve. We embrace diversity, equity, and inclusion as a business imperative, recognizing the importance of these aspects for our customers, franchisees, and employees. In addition to a challenging and rewarding career, 7-Eleven Global Solution Center offers a comprehensive benefits plan to improve the overall experience of our employees. This plan includes flexible work schedules, diverse leave options, medical coverage for family members, transportation, cafeteria facilities, certification and training programs, and support for employee relocation to Bangalore, India.,

As a Senior AI/ML Engineer specializing in Python/AI-ML, you will be responsible for developing and implementing AI/ML models using Python. Your expertise in Keras and Pandas will be essential for model development. Additionally, you will work with Generative AI and Large Language Models like GPT-3 and Transformers. Your role will involve building and managing data pipelines using technologies such as Kafka and big data platforms. Experience in Time Series modeling and knowledge of cloud platforms like AWS, Azure, or GCP for deployment and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack will also be beneficial. You should be able to create reusable ML components for scalable systems and possess excellent communication skills for collaborating with cross-functional teams. Exposure to GANs, synthetic data generation techniques, model compliance, and performance benchmarking will be considered advantageous. Mentoring junior developers and understanding model observability and monitoring tools are desirable qualities. With at least 5 years of hands-on experience in AI, Machine Learning, and Generative AI, you should have strong programming skills in Python, Keras, Pandas, and FastAPI. Familiarity with advanced ML models like LangChain, GPT-3, GANs, Transformers, and analytical models such as Time Series Forecasting and Predictive Modelling is required. Knowledge of databases like ChromaDB/Pinecone will be an added advantage. This role at UST, a global digital transformation solutions provider, offers the opportunity to work with cutting-edge technologies and make a real impact through transformation. Join our team of over 30,000 employees in 30 countries to innovate and build for boundless impact, touching billions of lives in the process.,

As an Agentic Thinker and visionary Generative AI Subject Matter Expert (SME) at UBS in Hyderabad, you will lead the design, development, and deployment of cutting-edge generative AI solutions to solve complex business challenges. UBS emphasizes innovation and agility to enhance responsiveness, adaptability, and overall innovation in the workplace. In this role, you will leverage large language models (LLMs), diffusion models, and other generative architectures to drive innovation and act as a technical authority for generative AI. Your responsibilities will include architecting, training, and fine-tuning generative AI models for various applications such as content generation, conversational AI, code automation, and data synthesis. Additionally, you will lead research and development initiatives to enhance model performance, efficiency, and alignment with business objectives. You will collaborate with product, engineering, and business teams to integrate generative AI into workflows and translate business requirements into technical specifications for generative AI use cases. Moreover, you will optimize generative models for latency, cost, and scalability, deploy models on cloud platforms and edge devices, and implement safeguards to mitigate risks such as bias and misinformation while ensuring compliance with data privacy regulations and ethical AI guidelines. As part of the Mainframe & Midrange Stream team in India, you will work on Mainframe and Midrange Gen AI Journey, aligning with UBS AI elements and the Emerging Technology and Modernization Team. Your expertise should include a master's or PhD in Computer Science, Machine Learning, or a related field, along with at least 5 years of experience in AI/ML development with a focus on generative AI. You should have a proven track record of deploying generative AI solutions in production environments, deep expertise in generative architectures such as GPT and Transformers, proficiency in Python, PyTorch/TensorFlow, and cloud platforms, as well as experience with NLP tools and vector databases. Preferred skills include knowledge of multimodal AI, reinforcement learning, and familiarity with AI ethics frameworks. UBS, as the world's largest and truly global wealth manager, operates through four business divisions and has a presence in over 50 countries. If you are passionate about driving innovation, solving complex business challenges with generative AI, and being part of a diverse and inclusive culture that values collaboration and empowerment, UBS is the place for you. Join us to grow, learn, and make a difference in a supportive and inclusive environment.,

You will be joining Firstsource Solutions Limited as a Data Scientist where you will be utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to develop innovative data-driven solutions and applications. Your role will involve designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Your responsibilities will include designing and implementing advanced ML and DL models, developing web applications for model deployment to enable real-time data processing and user interaction, performing exploratory data analysis to understand underlying patterns and trends, creating data processing pipelines to prepare large datasets for analysis and modeling, employing Generative AI techniques for content generation, and collaborating with cross-functional teams to integrate AI capabilities into products and systems. To excel in this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of relevant experience in a data science role focusing on ML, DL, and statistical modeling. Strong coding skills in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV), and NLP libraries (e.g., NLTK, spaCy) are essential. Experience with generative models such as GANs, VAEs, or Transformers, deployment skills with Docker, Kubernetes, and CI/CD pipelines, and excellent analytical and communication skills are also required. Certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. This position is available in multiple locations including Hyderabad, Mumbai, Bangalore, and Chennai. Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Be cautious of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

As a Generative AI Developer Freshers in the Artificial Intelligence department, you will be responsible for leveraging your skills in Generative AI, AI/ML, TensorFlow, PyTorch, and Pandas to contribute to innovative projects. With 0 months to 1 year of experience, you should hold a degree in BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent. Your primary duties and responsibilities will include demonstrating excellent programming and communication skills, having a strong understanding of databases, and implementing Fundamental concepts like OOPs in the development process. You will need to stay updated with industry trends, work on documentation throughout the software development life cycle (SDLC), and be familiar with Agile methodologies. Additionally, you should work on websites or projects during the training period. To excel in this role, you must possess a Bachelor's degree in Computer Science or a Master's in Computer Application, along with proficiency in HTML, MySQL, CSS, JavaScript, JQuery, and AJAX. A solid grasp of OOPS concepts, MVC structure, and communication skills are essential. Strong logical, programming, and analytical skills are also required, while knowledge of Django, Python, Ruby, Rails, and Angular JS would be advantageous. This position is based in Indore, Madhya Pradesh, with a work-from-office model. You must be open to on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with corresponding on-site benefits. Apply now if you are eager to contribute to cutting-edge AI projects and enhance your skills in a dynamic work environment.,

You will be working full-time at Soothsayer Analytics in Hyderabad as a Generative AI/LLM Engineer. Your primary responsibility will be to design, develop, and deploy generative AI models using cutting-edge technologies like Azure OpenAI GPT-4, GPT-4 Vision, or GPT-4 Omni. You should have a strong background in building and deploying AI models, with a focus on leveraging technologies such as Retrieval-Augmented Generation (RAG) and working with Vector Databases. While experience in fine-tuning large language models (LLMs) is beneficial, it is not mandatory. You are expected to have a general understanding of training or fine-tuning deep learning models and be able to quickly learn and implement advanced techniques. Your key responsibilities will include designing, developing, and deploying generative AI models using GPT-4 variants, implementing and optimizing RAG techniques, building and managing AI services using Python frameworks like LangChain or LlamaIndex, and developing APIs with FastAPI or Quart for efficient integration. You will focus on scalability, performance, and optimization of AI solutions across cloud environments, particularly with Azure and AWS. Working with Vector Databases is mandatory, and experience with Graph Databases is optional. You will also utilize Cosmos DB and SQL for data storage and management solutions, apply MLOps or LLMOps practices, and manage Azure Pipelines for continuous integration and deployment. Additionally, you will continuously research and adopt the latest advancements in AI technologies. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field, with at least 1+ years of experience in Generative AI/LLM technologies and 5+ years of experience in related fields. Proficiency in Python and experience with frameworks like LangChain, LlamaIndex, FastAPI, or Quart is required. Expertise in RAG and experience with Vector Databases are mandatory. Knowledge of Cosmos DB and SQL is also essential. Experience with fine-tuning LLMs and Graph Databases is beneficial but not mandatory. You should have proven experience in MLOps, LLMOps, or DevOps, a strong understanding of CI/CD processes, automation, and pipeline management, and familiarity with containers, Docker, or Kubernetes. Experience with cloud platforms, particularly Azure or AWS, and cloud-native AI services is desirable. Strong problem-solving abilities and a proactive approach to learning new AI trends and best practices quickly are necessary for this role.,

You will be working as a Data Scientist at FSL, utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to create innovative data-driven solutions and applications. Your role will involve designing and implementing advanced ML and DL models, developing web applications for model deployment using Flask and FastAPI, and ensuring efficient deployment and monitoring of these systems. Additionally, you will be responsible for performing data analysis, including exploratory data analysis to identify patterns and trends, as well as developing data processing pipelines to prepare large datasets for analysis and modeling. Your tasks will also include utilizing Generative AI techniques to create new data points and enhance content generation, collaborating with cross-functional teams to integrate AI capabilities into products, and ensuring that AI solutions align with business goals and user requirements. You will need to stay updated with the latest AI, ML, DL, CV, and NLP developments, explore new technologies, and effectively communicate complex quantitative analysis to senior management and other departments. To qualify for this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling. Your technical skills should include strong coding abilities in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (PyTorch, TensorFlow), CV (OpenCV), and NLP libraries (NLTK, spaCy). Experience with generative models like GANs, VAEs, or Transformers, as well as deployment skills with Docker, Kubernetes, and CI/CD pipelines, are also required. Strong analytical skills, excellent communication skills, and certifications in Data Science, ML, or AI from recognized institutions will be advantageous. This position is available in Hyderabad, Mumbai, Bangalore, and Chennai.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

Arivon is seeking an Artificial Intelligence (AI) Software Engineer with expertise in generative AI, Natural Language Processing (NLP), and LLM. The ideal candidate should have a minimum of 5 years of experience in NLP and Generative AI and LLM research. The role involves tasks such as language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, and efficient training and inference. Additionally, the candidate should have experience in multilingual and multimodal modeling. The AI Software Engineer should have hands-on experience with Machine Learning (ML), NLP, and Deep Learning (DL) frameworks like PyTorch, Tensorflow, and SFT on LLM. Proficiency in leveraging LangChain for the development and integration of LLMs into various applications is essential. The candidate should demonstrate a strong ability to enhance AI functionalities through innovative applications of natural language processing and understanding. Experience with model quantization or computational optimizations is considered a plus. Familiarity with cloud platforms such as AWS, GCP, and Azure is advantageous, and prior experience in the Healthcare domain is a bonus. The role also involves designing methods, tools, and infrastructure to advance the state of the art in large language models. Responsibilities include deploying, monitoring, and managing ML models in production to ensure high availability and low latency. The candidate will be expected to manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools. A Master's degree in computer science, computer engineering, or a related technical field is required, while a Ph.D. in AI, computer science, data science, or related fields is preferred. Proficiency in programming languages like Python is necessary for this role.,