1443 Generative Ai Jobs - Page 15

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform. Location : Remote (Chennai) {possible to travel Chennai for meetings},Pune

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform. Location : Remote (Chennai) {possible to travel Chennai for meetings},Delhi / NCR

Responsibilities Transform raw data into meaningful insights to help organizations make informed decisions. Translate between complex data and actionable business strategies. Collect data from various sources (e.g., databases, PDF's ,dataware house) Cleans and prepares the data to ensure accuracy and consistency Analyzes trends and patterns using statistical tools and programming Visualizes findings through charts, dashboards, or reports Communicates insights to stakeholders to support decision-making Build and maintain scalable data pipelines and ETL workflows using Databricks Integrate AI capabilities into business applications using APIs or custom/ OOTB solutions Collaborate with cross-functional teams to translate business needs into data-driven solutions Ensure data quality, governance, and compliance across platforms Qualifications 8+ years of experience in data analytics, business intelligence, or data science Proficiency in SQL, Excel, Python or R, Power BI Strong understanding of data modeling, ETL processes, and cloud platforms (e.g., Azure, AWS, GCP) Experience with predictive analytics, statistical modeling,Statistics, critical thinking, problem-solving Strong experience with Databricks,Copilot Excellent communication and stakeholder management skills Bachelors or Master’s degree in Data Science, Statistics, Computer Science, or related field Create dashboards and visualizations using Power BI, Tableau, or similar tools Experience with LLMs or generative AI Good to have Experience in a leadership or cross-functional analytics role Familiarity with AI/ML frameworks and big data tools Specialized knowledge in engine-focused R&D, engineering, and manufacturing domains. Certifications in Databricks, cloud platforms, or data engineering. Passion for innovation and continuous learning

Job Title: AIML Lead Experience: 5+ Years Location: Chennai / Madurai Job Type: Full-time | Onsite / Hybrid Job Summary: We are looking for an experienced AI/ML Lead to drive the design, development, and deployment of cutting-edge solutions in Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Deep Learning . You will lead a team of data scientists and ML engineers, working on innovative projects across domains. Key Responsibilities: Lead end-to-end delivery of AI/ML projects in GenAI, NLP, and LLMs . Design and implement state-of-the-art deep learning models and algorithms. Fine-tune and optimize foundation models (GPT, BERT, LLaMA, etc.) for real-world use cases. Guide research and experimentation in generative AI (text, image, or audio-based). Collaborate with cross-functional teams (Product, Data Engineering, DevOps). Stay updated with latest advancements in AI/ML and apply them to business problems. Mentor junior ML engineers and data scientists. Ensure model performance, scalability, and compliance with ethical AI practices. Required Skills: Strong expertise in Generative AI , LLMs (e.g., GPT, Claude, PaLM), and transformer-based architectures . Proficient in NLP , deep learning , and machine learning pipelines . Experience with Python , PyTorch , TensorFlow , LangChain , Hugging Face , etc. Hands-on experience deploying ML models in production. Experience in prompt engineering, fine-tuning, and embeddings. Strong understanding of vector databases (e.g., FAISS, Pinecone, Weaviate). Experience with cloud platforms (AWS, GCP, or Azure).

Job Title: Gen AI Architect Experience: 10+ years Location: Noida/Gurugram/Pune/Bengaluru Role Overview: We are seeking a Tech Lead with deep expertise in architecture, system design, and Generative AI to lead high-impact projects across strategic insurance clients. The ideal candidate will combine technical depth with business acumen to translate client problems into scalable AI-driven solutions. Experience in the insurance domain is highly preferred. Key Responsibilities: Lead the architecture and technical solutioning for GenAI-powered use cases in the insurance industry. Work closely with business teams to ideate, assess, and create use cases that demonstrate tangible value. Design end-to-end systems that incorporate GenAI components, APIs, and cloud infrastructure. Own and drive technical delivery , ensuring scalability, performance, and alignment with client goals. Collaborate with engineers, product managers, and QA to deliver production-grade solutions. Serve as the technical face to the client, supporting solution discussions and managing stakeholder expectations. Evaluate and select the right set of GenAI tools and platforms (e.g., OpenAI, LangChain, RAG pipelines, etc.). Ensure data privacy, compliance, and security standards are upheld in every solution. Required Skills & Experience: 10+ years in software development/architecture with a strong track record in system design and enterprise delivery . Proven experience in designing AI/ML or GenAI solutions , preferably using tools like OpenAI, Azure OpenAI, LangChain, etc. Strong understanding of cloud infrastructure (AWS/Azure/GCP) and integration best practices. Experience working with insurance workflows like underwriting, claims, policy administration, or financial operations. Ability to create clear technical documentation , architecture diagrams, and engineering playbooks. Hands-on development experience in Python, Node.js, or similar languages is a plus. Strong stakeholder management and communication skills. Preferred Qualifications: Exposure to GenAI use cases in insurance (e.g., submission intake, risk summarization, broker email parsing, etc.) Experience working in Agile teams and fast-paced innovation environments. Familiarity with vector databases , retrieval-augmented generation (RAG), and MLOps pipelines. Prior experience leading cross-functional engineering teams.

Business Architect AI & Insurance Transformation Location: Noida/Gurugram/Pune/Bengaluru Experience: 10+ years Role Overview: We are looking for a strategic and hands-on Business Architect to bridge the gap between business strategy and technology execution. The ideal candidate should have deep experience in insurance domain operations , a strong understanding of AI and digital transformation , and the ability to design scalable business capabilities aligned with enterprise goals. Key Responsibilities: Define and maintain business capability maps , value streams, and process models Align business architecture with strategic goals and digital transformation roadmaps Collaborate with product, data, and engineering teams to translate business needs into scalable solutions Identifyopportunities to leverage AI/GenAI for business process optimization Work with business stakeholders to assess current-state processes and define target-state architectures Support solution architects and product managers by providing business context and models Ensure alignment between business processes, data flows, and technology enablement Contribute to business case development, investment planning, and value realization tracking Required Skills & Experience: 10+ years of experience in business analysis, enterprise/business architecture, or solution design Strong knowledge of insurance operations , such as underwriting, claims, policy admin, etc. Exposure to AI/GenAI use cases in insurance or BFSI sectors Experiencewith business modeling techniques (e.g., BPMN, capability mapping, value streams) Ability to drive cross-functional workshops and lead structured discovery sessions Understanding of enterprise architecture frameworks (TOGAF, BIZBOK, etc.) is a plus Strong communication and documentation skills with C-level exposure Nice to Have: Certification in Business Architecture (e.g., BIZBOK, TOGAF, SAFe) Hands-on experience working with AI delivery teams or product squads Familiarity with agile delivery and digital platforms (low-code/no-code tools)

Salary: 20 to 30 LPA Exp: 5 to 10 years Location: Bangalore Notice- Immediate to 15 days Role & Responsibilities: Must Have: React and Gen Ai 3+ years of relevant experience in software development. Excellent designing and programming skills. Knowledge of front-end technologies such as HTML5, CSS3, and JavaScript Expert in AngularJS Knowledge of Spring frameworks like Spring MVC or Spring Boot is a huge plus. Experience in banking domain. Basic understanding of Python is a plus. Good command over SQL query. Understanding of different databases such as MySQL, MongoDB, Oracle and/or SQL Server Exposure to source code management such as Git, GITHub, GITlab and/or BitBucket Exposure to Jenkins, Gradle, Maven Excellent verbal and written communication skills. Good time management and organizational skills. The ability to keep current with the constantly changing technology industry. A passion for design, development, and testing. Knowledge of containerization and/or cloud platform such as AWS, Azure and/or GCP is a huge plus.

Job Application Link: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369 Job Summary: Experienced AI Engineer with expertise in machine learning, deep learning, and AI model development. Responsible for designing, implementing, and deploying AI/ML solutions in production environments. Will collaborate with cross-functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs or RNNs or Transformers or GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) 3+ years of experience

Greetings ! I hope this email finds you well ! Im writing on behalf of RPS Consulting (An NIIT Subsidiary), an established provider of certified IT and soft skills/behavioral training. For over 15+ years, we have been helping many of the global fortune enterprises across India and the globe plan and execute their employee training programs. With reference to our discussion, we are currently looking for Freelance Trainer - Practical Generative AI Utilization Camp ~Advanced” training in Japanese language. Interested please Contact Mobile: +91 9840503181 | Email: priya.dharshini@rpsconsulting.in

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. Mandatory Technical Skills: • Strong statistical and machine learning intuition to address new and unique challenges. • Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications. • Strong proficiency in Python with OOP principles - ( 4 years of experience) • Experience developing APIs using Flask or Fast API frameworks – ( 2 years of experience) • Integration knowledge with front-end applications – ( 1 year of experience) • Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - ( 3 years of experience) • Familiarity with task management tools (e.g., Jira, Azure DevOps) - ( 2 years of experience) • Proficiency in databases, including SQL, NoSQL and vector databases – ( 2 + years of experience) • Working knowledge of ML pipelines and CI/CD. • Experience with at least one of the cloud platforms (Azure, AWS, GCP) - ( 2 + years of experience) Core Excellence Areas (CEA): Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying): NLP Generative AI (NLP) Computer Vision Time Series Forecasting Recommendation Systems and Optimization Roles & Responsibilities: • Advanced AI/ML/Gen AI Implementation: o Leverage advanced AI and machine learning techniques to address complex business challenges. o Design, develop, and deliver innovative data science solutions. • Architectural Design: o Develop end-to-end generative AI solutions. o Build scalable architectures for AI/ML models and applications. • Team Leadership: o Lead and mentor a team of data scientists, fostering professional growth and technical excellence. o Provide strategic and technical guidance to ensure the team delivers high-quality projects. • Cross-functional Collaboration: o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions. • Client Engagement : Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships. • Innovation: Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology. Nice to have Skills: • Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing. • Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau) • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). • Experience with cloud platforms and MLOps practices. • Project management skills to lead initiatives effectively. • Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases. Experience & Educational Qualifications: • Minimum of 5+ years of experience solving complex machine learning problems. • At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas. • Minimum of 1 year leading and managing ML projects end-to-end. • Bachelor’s degree in computer science, Data Science, or related field (Master’s/PG in AI/ML/DS preferred).

Youll need to work closely with Data Scientists, Data Engineers, UI Engineers, Software Developers, and DevOps teams to design and implement end-to-end AI/GenAI solutions. You will: Be responsible for training, integrating, and deploying AI/GenAI/ML models in Azure/AWS ecosystem. Design and implement enterprise-quality AI/GenAI/ML applications. Optimize deployed models for performance, scalability, and efficiency. Debug and troubleshoot issues in AI/GenAI/ML pipelines and systems. Monitor model performance in production and retrain as necessary to maintain accuracy. Stay conversant with the latest trends, techniques, and tools in GenAI pipelines. Experiment with state-of-the-art methods and propose innovative solutions to complex problems. Excellent written and verbal communication skills required. Technical Skills: Excellent Python, PySpark, and SQL skills. Knowledge of GenAI stack is a big plus. Experience with Azure DevOps / AWS DevOps for ML projects, Databricks, CI/CD pipelines, and repositories. Experience with Azure/AWS MLOps/Kubeflow. Experience of training and deploying AI/GenAI/ML models into production environments and integrating them with existing systems. Knowledge of containerization tools like Docker, orchestration systems like Kubernetes, and inference platforms like Kserve / NVIDIA Triton. Knowledge of Azure / AWS ETL pipelines is a plus (but not mandatory). Soft Skills: Excellent written and verbal communication. Exceptional problem-solving and multitasking skills in a fast-paced environment. Experience Level: 8+ years of experience in ML Engineering.

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

Wipro Limited is a prominent technology services and consulting company dedicated to creating innovative solutions that cater to the complex digital transformation requirements of clients. With a comprehensive range of capabilities in consulting, design, engineering, and operations, Wipro assists clients in achieving their ambitious goals and establishing sustainable businesses. With a global presence of over 230,000 employees and business partners spanning across 65 countries, Wipro is committed to supporting customers, colleagues, and communities in thriving amidst an ever-changing world. For more information, please visit www.wipro.com. As an AI/ML Engineer at Wipro's innovation arm, Lab45, located in Bangalore, you will be at the forefront of developing cutting-edge products, platforms, and solutions. Lab45 aims to leverage cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies such as Blockchain, AR/VR, and Software Defined Vehicles to empower clients and customers in adapting to the digital landscape and achieving greater success. The collaborative environment at Lab45 fosters creativity and accelerates the ideation process throughout Wipro. In this role, you will play a key part in designing, developing, and maintaining robust backend systems that integrate advanced AI and ML capabilities. Your responsibilities will include implementing and optimizing LangChain for efficient language model chaining, managing data using vector databases to enhance model performance, developing solutions based on large language models, Retrieval-Augmented Generation, and Graph RAG, and collaborating with cross-functional teams to drive innovation in AI-driven solutions. As a part of our dynamic team, you will be expected to stay updated on industry trends in AI and ML technologies and contribute to continuous improvement in our solutions through clean coding practices and effective documentation. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience as a Software Engineer focusing on backend development. Proficiency in Python programming, familiarity with relevant frameworks and libraries in AI and ML, expertise in LangChain, vector databases, MongoDB, and Pinecone, as well as a deep understanding of LLMs, RAG, Graph RAG, and other Generative AI concepts are essential. Additionally, strong skills in software design, data structures, algorithms, version control systems like Git, CI/CD pipelines, analytical thinking, problem-solving abilities, and excellent communication skills are required. Preferred skills include experience with cloud platforms such as AWS, Google Cloud, Azure, and knowledge of scalable architecture, containerization, and orchestration technologies like Docker and Kubernetes. Join Wipro's reinvention journey and be a part of an organization that encourages constant evolution, growth, and empowerment. We are looking for individuals inspired by reinvention, who are ready to design their own career path and contribute to building a modern Wipro. Come to Wipro and realize your ambitions in an inclusive environment where diversity and innovation thrive. Applications from individuals with disabilities are especially encouraged.,

The responsibilities of this role include understanding the business requirements and translating them into technical requirements, creating a detailed business analysis to identify problems, opportunities, and solutions, performing tasks related to data wrangling, model building, and model deployment, staying updated with the latest research and technology, and sharing knowledge within the organization. Additionally, leading initiatives to enhance team morale, camaraderie, and collaboration is a key aspect of this position. The technical requirements for this role include expertise in Generative AI, AI, Machine Learning, Python, and Databricks. Preferred skills involve proficiency in Generative AI within the field of Machine Learning.,

As a qualified candidate for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have extensive experience in AI/ML, specifically focusing on Generative AI technologies. Demonstrated success in leading and delivering complex AI projects is essential for this position. Your expertise should include a strong understanding of GenAI frameworks, tools, and methodologies. You must exhibit excellent problem-solving skills, strategic thinking abilities, and proficient project management capabilities. Effective communication and collaboration with diverse teams and stakeholders are crucial aspects of this role. Experience with cloud platforms and AI deployments in cloud environments, with a preference for Azure, is highly desirable. Preferred skills for this role include hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, encompassing machine learning techniques and algorithms, is advantageous. You should be skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack and knowledge of client-side scripting (JavaScript and jQuery) are beneficial. Understanding ethical AI principles and implementing best practices is expected. Proficiency in programming languages such as Python, R, Java, and Regex expressions is required. Experience using requirement management tools like TFS is beneficial. Strong verbal and written communication skills are essential, along with the ability to influence peers and leadership positively.,

As a Codified Controls Full Stack Engineering Lead at Developer Enablement within the CTO organization, your primary focus will be to lead a team in transforming how policies, standards, and controls are managed through an "everything-as-code" initiative. This greenfield program presents a unique opportunity to reduce process friction, errors, and manual effort by developing automated controls and supporting infrastructure. You will play a crucial role in shaping the future of software engineering efforts, promoting cultural change, and fostering a collaborative environment across the organization. Key Responsibilities: - Collaborate with various Citi teams to drive the adoption of Codified Controls and everything-as-code approach - Work closely with product and engineering teams to design, build, and maintain scalable web applications and services - Take a hands-on approach to coding and software design to ensure adherence to high-quality standards and best practices - Mentor and support other engineers in their skills development - Drive cultural change by encouraging critical thinking about controls and processes, fostering continuous improvement Characteristics: - Effective problem-solving skills - Strong communication and collaboration abilities - Pragmatic and creative in managing risks - Advocate for inclusion and diversity - Embrace a growth mindset and adaptability in a fast-paced environment - Demonstrate enthusiasm, empathy, and trust-building - Passionate about site reliability engineering and its impact on product development - Stay connected with the latest technologies, such as Generative AI, and eager to implement them - Self-driven with the ability to work effectively in teams and remotely Experience: - 10+ years of experience in various technology disciplines with significant people management experience - Proficiency in multiple programming languages like Python, Go, and TypeScript, along with frameworks and tools - Strong understanding of SQL and NoSQL databases - Expertise in developing on various architectures, particularly container-based microservices, focusing on scalability, reliability, maintainability, and performance - Previous experience in a product-focused team is advantageous This is a full-time position within the Technology job family group, specifically in Applications Development. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review Accessibility at Citi. You can also view Citi's EEO Policy Statement and the Know Your Rights poster for more information.,

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. In this role, you will play a key role in seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. You will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. Leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives. Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources. Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication. Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance. We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. 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.,

Wipro Limited is a leading technology services and consulting company dedicated to creating innovative solutions that cater to clients" most intricate digital transformation requirements. With a comprehensive range of consulting, design, engineering, and operational capabilities, Wipro assists clients in achieving their most ambitious goals and establishing sustainable businesses that are prepared for the future. Their global workforce of over 230,000 employees and business partners spread across 65 countries ensures that they fulfill their commitment to helping customers, colleagues, and communities thrive amidst the ever-evolving landscape. In this role, you will need to possess the following core qualifications: - A minimum of 12 years of experience in software/data architecture with practical exposure. - Proficiency in Agentic AI & AWS Bedrock is a must, showcasing hands-on expertise in designing, deploying, and managing Agentic AI solutions utilizing AWS Bedrock and AWS Bedrock Agents. - Extensive knowledge of cloud-native architectures on AWS encompassing compute, storage, networking, and security aspects. - Demonstrated ability in defining technology stacks involving microservices, event streaming, and contemporary data platforms such as Snowflake and Databricks. - Proficiency in Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (IaC) utilizing tools like Azure DevOps and Terraform. - Strong understanding of data modeling, API design (REST/GraphQL), and integration patterns (ETL/ELT, CDC, messaging). - Excellent communication skills and adept at managing stakeholders, capable of translating intricate technical concepts into tangible business value. Additionally, the following qualifications are preferred for this role: - Experience in the media or broadcasting industry. - Familiarity with Salesforce or other enterprise iPaaS solutions. - Relevant certifications such as AWS/Azure/GCP Architect, Salesforce Integration Architect, and TOGAF. Moreover, proficiency in Generative AI is a mandatory skill for this position. The ideal candidate should have 8-10 years of relevant experience. Join Wipro in their journey to reinvent the digital landscape. As they strive to build a modern organization, they are seeking individuals who are driven by the spirit of reinvention - be it in their personal growth, career trajectory, or skill development. At Wipro, you will be part of a dynamic environment that encourages constant evolution and innovation, adapting to the changing world around us. Embrace this opportunity to contribute to a purpose-driven business and shape your own reinvention journey. Realize your ambitions at Wipro, where applications from individuals with disabilities are warmly welcomed.,

We are searching for a skilled and adaptable Data Engineer with proficiency in PySpark, Apache Spark, and Databricks, combined with knowledge in analytics, data modeling, and Generative AI/Agentic AI solutions. This position suits individuals who excel at the convergence of data engineering, AI systems, and business insights, contributing to impactful programs with clients. Your responsibilities will include designing, constructing, and enhancing distributed data pipelines utilizing PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. You will also be tasked with supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications. Additionally, creating and maintaining interactive dashboards and BI reports using tools like Power BI, Tableau, or Looker for business stakeholders and consultants will be part of your role. Furthermore, your duties will involve conducting adhoc data analysis to facilitate data-driven decision-making and rapid insight generation. You will be expected to develop and sustain robust data warehouse schemas, star/snowflake models, and provide support for data lake architecture. Integration with and support for LLM agent frameworks like LangChain, LlamaIndex, Haystack, or CrewAI for intelligent workflow automation will also fall under your purview. In addition, ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) will be important aspects of your work. Collaboration with cross-functional teams, including AI scientists, analysts, and business teams to drive use-case delivery, is key. Lastly, maintaining robust data governance, lineage, and metadata management practices using tools such as Azure Purview or DataHub will also be part of your responsibilities.,

We are seeking a curious, creative, and AI-obsessed design intern who is eager to explore the intersection of AI and design. If you are constantly experimenting with new AI tools or have the desire to do so, enjoy exploring innovative ideas, and are enthusiastic about the convergence of AI-first design with traditional design methods, then this opportunity is perfect for you. This unique design internship, known as AI-X internship, offers a chance to delve into how AI tools can be seamlessly integrated into everyday design processes. As an intern, you will engage in internal experiments and practical applications to help define how AI can enhance modern design workflows. Your responsibilities will include experimenting with various AI tools such as Midjourney, ChatGPT, Galileo AI, and other emerging tools to develop visual assets, design systems, AI bots, and more. You will also be involved in integrating AI-generated content into real design projects, researching and testing new AI tools as our in-house AI explorer, providing support to the design team in UI/UX and visual design tasks using a combination of AI and traditional tools, engaging in video coding with a design-first approach to create functional platforms/apps, and contributing to documenting workflows, findings, and case studies. Furthermore, clear communication and articulation of ideas to the internal team are essential aspects of this role. The ideal candidate should be pursuing a degree in Design, Human-Computer Interaction, or a related field, possess a solid understanding of design principles, and demonstrate a willingness to learn and enhance UI/UX skills. Familiarity with Design AI tools like Framer, Lovable, Scade, or any other similar tools is advantageous. A passion for both AI and design, along with a foundational grasp of design elements such as layout, color, typography, and UX thinking, is desired. A curious, self-driven individual who is open to experimentation and ambiguity, possesses excellent communication skills, and can work effectively in fast-paced, iterative, and collaborative environments would be an ideal fit for this role. Key Skills: Artificial Intelligence (AI), Generative AI, User Interface (UI) Design, and User Experience (UX) Design.,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

The AI Intern position at Avendus offers a unique opportunity to be a part of a leading global financial services firm. As an AI Intern, you will be at the forefront of developing and optimizing knowledge graph algorithms and exploring the vast potential of generative AI. Your role will involve tackling complex problems that require a deep understanding of these technologies and their practical applications. Key Responsibilities You will be responsible for working on knowledge graph algorithms, with a focus on developing and optimizing these algorithms to enhance their efficiency and effectiveness. Additionally, you will apply generative AI techniques to solve challenging problems and improve existing solutions. As part of your role, you will also be involved in frontend development, where you will build and maintain applications to facilitate the use of the developed solutions. In addition to your core responsibilities, you will collaborate with vendors, run MVPs, and contribute to various other projects as required. This will provide you with a holistic view of the workings of the organization and an opportunity to gain insights into different areas of the business. Requirements To excel in this role, you should have extensive programming experience and a proven track record of completing technical projects. Proficiency in Python is a must, along with experience in machine learning techniques and tools. A solid understanding of knowledge graph algorithms and generative AI, along with familiarity with frontend development frameworks, will be beneficial. Education You should be pursuing or have completed a degree in Computer Science, Data Science, Engineering, or a related field to qualify for this internship position. Additional Skills Strong problem-solving abilities, analytical skills, excellent communication, and teamwork skills are essential for success in this role. The ability to manage multiple tasks and projects effectively will also be valuable. What We Offer By joining Avendus as an AI Intern, you will gain hands-on experience in cutting-edge technologies and real-world applications. You will have the opportunity to work closely with experienced professionals who will provide mentorship and guidance on your career development. Additionally, you will be part of a dynamic environment, collaborating with a forward-thinking team and working on innovative projects that drive growth and value for clients through technology.,

At Capgemini Invent, we believe in the power of diversity to drive change. As inventive transformation consultants, we combine our strategic, creative, and scientific expertise to collaborate closely with clients in delivering cutting-edge solutions tailored to their challenges. Join our team to lead transformation initiatives informed and validated by science and data, superpowered by creativity and design, and underpinned by purposeful technology. In your role, you will be instrumental in: - Leading SAP advisory consulting engagements in manufacturing transformation and driving SAP S/4 consulting projects through implementation and rollouts in the manufacturing sector. - Managing client relationships, particularly with middle-management, to drive consensus on complex business solutions. Working closely with business process owners to analyze core processes, conduct assessments, and gather requirements. - Driving process improvements, providing recommendations, preparing documents and presentations, and coordinating all project phases including estimating, design, and support. - Managing small teams and/or working as an individual contributor. Your profile should include: - Excellent communication skills and a consulting mindset. - Strong knowledge and experience in process consulting, business blueprinting, fit-gap assessment, solution design, configurations, testing, and deployment for S/4HANA. - Experience in End-to-End Implementation projects in S/4 HANA, familiarity with S/4 HANA features, innovations, and solution architecture. - Overview knowledge of integrating other modules and certification in SAP S/4HANA Production Planning. - Experience in working with Enhancements, Interfaces to SAP and Non-SAP systems, and familiarity with the SAP product portfolio across the industrial value-chain. Working with us, you will enjoy: - Flexible work arrangements including remote work and flexible hours to support a healthy work-life balance. - Career growth opportunities through various programs and professions designed to help you explore a world of possibilities. - Access to valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner committed to helping organizations accelerate their digital and sustainable transition. With a diverse team of over 340,000 members in more than 50 countries, we bring over 55 years of experience to deliver end-to-end services and solutions. Leveraging strengths in AI, generative AI, cloud, and data, combined with deep industry expertise, we enable clients to unlock technology's value across their business needs.,

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We create intelligent, user-first digital products that redefine industries through the power of AI and engineering excellence. We are looking for a Senior Software Engineer-AI with 4-6 years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment, fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. As a Senior Software Engineer-AI at Techvantage.ai, you will be responsible for building and deploying AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systemsautonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-endfrom research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. In order to excel in this role, we are seeking candidates with 3-6 years of overall software development experience, with at least 3 years specifically in AI/ML engineering. Strong proficiency in Python is required, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) is highly desirable. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus. Experience building and deploying ML models to production environments is essential. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts is beneficial. Comfortable working in a startup-like environment is crucialself-motivated, adaptable, and willing to take ownership. A solid understanding of API development, version control, and modern DevOps/MLOps practices is expected from the ideal candidate.,

As a Senior Data Scientist, you will utilize your extensive experience and expertise in AI/ML technologies to drive innovation and solve real-world problems. Your responsibilities will include designing, developing, and optimizing recommendation systems to enhance user experience, building advanced NLP chatbots for automating customer interactions, leading Generative AI solutions, and applying Large Language Models like GPT and BERT to create innovative business-specific solutions. Collaboration with cross-functional teams is key as you integrate machine learning models into production systems, perform data exploration and feature engineering, and stay updated on the latest advancements in AI and ML technologies. Mentoring junior data scientists and engineers, collaborating with product managers and business stakeholders, and ensuring ethical and responsible model development are also crucial aspects of this role. To excel in this position, you should have 5+ years of experience in data science or machine learning, with strong expertise in recommendation systems, chatbots, Generative AI, and Large Language Models. Proficiency in machine learning frameworks like TensorFlow and PyTorch, as well as experience with cloud platforms and data pipelines, will be essential. Your problem-solving skills, statistical knowledge, and ability to convey technical concepts to non-technical stakeholders will further contribute to your success in this role. Joining our rapidly growing product-based company will provide you with the opportunity to collaborate with a talented team, work on high-quality software solutions, and enjoy a competitive compensation and benefits package. If you are passionate about AI/ML technologies and eager to make a significant impact, this role offers an exciting and rewarding career opportunity.,