26 Ai Systems Jobs

Role Overview: You have the unique opportunity to work as a Senior AI Reliability Engineer at JPMorgan Chase within the Technology and Operations division. Your mission will involve enhancing the reliability and resilience of AI systems to transform how the Bank services and advises clients. You will play a crucial role in ensuring the robustness and availability of AI models, deepening client engagements, and driving process transformation through advanced reliability engineering practices and cloud-centric software delivery. Key Responsibilities: - Develop and refine Service Level Objectives for large language model serving and training systems, balancing availability/latency with development velocity. - Design, implement, and continuously improve monitoring systems, including availability, latency, and other key metrics. - Collaborate in designing high-availability language model serving infrastructure for high-traffic workloads. - Champion site reliability culture and practices, providing technical leadership to foster a culture of reliability and resilience. - Develop automated failover and recovery systems for model serving deployments across multiple regions and cloud providers. - Create AI Incident Response playbooks for AI-specific failures and lead incident response for critical AI services. - Build and maintain cost optimization systems for large-scale AI infrastructure to ensure efficient resource utilization. - Engineer for Scale and Security, leveraging techniques like load balancing, caching, and optimized GPU scheduling. - Collaborate with ML engineers to ensure seamless integration and operation of AI infrastructure. - Implement Continuous Evaluation processes for pre-deployment, pre-release, and post-deployment monitoring for drift and degradation. Qualifications Required: - Proficiency in reliability, scalability, performance, security, enterprise system architecture, and other site reliability best practices. - Knowledge and experience in observability tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. - Experience with continuous integration and delivery tools like Jenkins, GitLab, or Terraform. - Familiarity with container and container orchestration tools like ECS, Kubernetes, Docker. - Understanding of common networking technologies and troubleshooting. - Experience in operating AI infrastructure, including model serving, batch inference, and training pipelines. - Ability to implement and maintain SLO/SLA frameworks for business-critical services. - Proficiency in working with traditional and AI-specific metrics. - Excellent communication skills. (Note: The job description did not include any additional details about the company.),

Python programming,data science methodologies AI systems or chatbot development Deep learning, transformer, GAN’s , VAE’s and LLM processing, prompt engineering TensorFlow, PyTorch, spaCy send cv - sairamglobal.hr@gmail.com Required Candidate profile Education 15 years full time regular study required Notice period - 0 to 45 days Location- Bangalore, Hyderabad, Chennai Good Communication skills required

Role Overview: You will be responsible for developing 3D multiplayer games in Unity using Photon Fusion. Your role will involve designing and implementing AI systems using behavior trees. You should have a strong logical thinking and problem-solving skills. Additionally, you will need to have a good understanding of 3D mathematics including vectors, transforms, quaternions, etc., and a good grasp of data structures and their practical applications in gameplay systems. You must be willing to work from the office and in client locations as needed. Key Responsibilities: - Develop 3D multiplayer games in Unity using Photon Fusion - Design and implement AI systems using behavior trees - Utilize strong logical thinking and problem-solving skills - Apply knowledge of 3D mathematics including vectors, transforms, quaternions, etc. - Implement data structures in gameplay systems Qualifications Required: - Minimum 4+ years of experience working as an Unity Developer - Proven experience developing 3D multiplayer games in Unity using Photon Fusion - Skilled in designing and implementing AI systems using behavior trees - Strong logical thinking and problem-solving skills - Good understanding of 3D mathematics (vectors, transforms, quaternions, etc.) - Good grasp of data structures and their practical applications in gameplay systems (Note: The additional details of the company were not provided in the job description),

Role Overview A premier U.S.-based technology company is seeking experienced C++ engineers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Key Responsibilities Review, optimize, and validate AI-generated C++ code for efficiency and performance. Troubleshoot complex coding challenges and enhance AI-driven systems. Manage development cycles, set priorities, and meet project deadlines. Provide constructive feedback, mentor team members, and contribute to a culture of technical excellence. Required Qualifications Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. Professional experience in C++ development. Proven track record of leading teams or mentoring developers. Strong analytical thinking, problem-solving abilities, and communication skills. Preferred Qualifications Experience working with large-scale codebases (50K+ lines) and contributing to open-source projects. Proficiency with GitHub for version control and collaborative development. Familiarity with training LLM models and building scalable back-end AI systems. Why Join Us Collaborate with industry leaders and expand your expertise in AI-driven systems. Fully remote, contract-based role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global industry standards. Work on groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview A premier U.S.-based technology company is seeking experienced C++ engineers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Key Responsibilities Review, optimize, and validate AI-generated C++ code for efficiency and performance. Troubleshoot complex coding challenges and enhance AI-driven systems. Manage development cycles, set priorities, and meet project deadlines. Provide constructive feedback, mentor team members, and contribute to a culture of technical excellence. Required Qualifications Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. Professional experience in C++ development. Proven track record of leading teams or mentoring developers. Strong analytical thinking, problem-solving abilities, and communication skills. Preferred Qualifications Experience working with large-scale codebases (50K+ lines) and contributing to open-source projects. Proficiency with GitHub for version control and collaborative development. Familiarity with training LLM models and building scalable back-end AI systems. Why Join Us Collaborate with industry leaders and expand your expertise in AI-driven systems. Fully remote, contract-based role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global industry standards. Work on groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Job Title: Infrastructure Architect AI Systems (NVIDIA HGX & Dell PowerEdge) Location: India Key Responsibilities: • Assess the scalability and performance of existing infrastructure architecture. • Review current systems against enterprise infrastructure standards and best practices. • Evaluate and recommend compute strategies, including CPU vs GPU acceleration trade-offs. • Identify infrastructure changes based on evolving workloads, AI use cases, and adoption roadmaps. • Collaborate with cross-functional teams (hardware, software, QA) to align infrastructure with product goals. Required Skillset: • Hands-on experience managing Dell PowerEdge Servers (R660, XE8640) integrated with NVIDIA HGX platforms. • Proven ability to tune hardware for AI performance, including memory bandwidth, I/O optimization, and thermal management. • Expertise in power management optimization and designing systems for high availability and redundancy. • Strong background in infrastructure security protocols, including secure boot, firmware validation, and network segmentation. • Familiarity with firmware lifecycle management, including flashing, validation, and rollback strategies. Preferred Tools & Technologies: • Jenkins, Docker, Kubernetes for infrastructure automation. • Artifactory, Vault, and CI/CD pipelines. • Monitoring and telemetry tools for observability and performance tracking. • 5+ years in infrastructure architecture or systems engineering roles. • Experience in large-scale AI deployments or hyperscale data centers.

Prompt Design and Optimization: Create, test, and iterate on text prompts for various AI applications, such as text generation, question answering, and translation. Collaboration: Work closely with product managers, developers, data scientists, and other teams to understand user needs and integrate AI into workflows effectively. Performance Analysis: Monitor and analyze AI system performance and output quality, using data to improve prompt strategies. Documentation: Develop and maintain frameworks, templates, and guidelines for prompt design to ensure consistency and reusability. AI Research: Stay updated on the latest trends, techniques, and advancements in AI and natural language processing (NLP) to continuously improve prompts and AI interactions. User Experience: Refine AI interactions based on user feedback and the empathy of user needs, ensuring the AI provides accurate and useful results. AI Alignment: Bridge the gap between human intent and AI capabilities to guide AI models toward desired outcomes, reducing hallucinations and increasing reliability. Required Skills Linguistic & Creative Skills: Expertise in language, creative writing, and communication to craft clear, precise, and effective prompts. Technical Skills: Basic programming skills (like Python) and a strong understanding of natural language processing (NLP) and AI systems. Analytical & Problem-Solving Skills: Ability to analyze data, identify patterns in AI behavior, and devise solutions to improve AI outputs. Collaboration & Communication: Strong teamwork skills to work with diverse technical and business teams. Continuous Learning: A commitment to staying updated with rapidly evolving AI technologies and prompt engineering best practices.

As an AI & Automation Engineer at our company based in Mohali, you will be responsible for designing, building, and maintaining automation workflows utilizing tools like N8N. Your primary focus will be to establish connections between AI agents and our knowledge base, streamline support operations, and contribute to various AI projects. The ideal candidate for this role is a problem solver with hands-on experience in AI integrations and a solid background in developing automated solutions. Your key responsibilities will include designing and developing automation workflows with tools like N8N to integrate AI agents with our knowledge base. You will also be tasked with creating, testing, and deploying integrations between different APIs to ensure smooth data flow and functionality. Additionally, you will implement AI-driven solutions to automate support processes, monitor automated systems, and troubleshoot issues for optimal performance. Collaboration and documentation are essential aspects of this role, as you will work closely with cross-functional teams to understand requirements and implement effective automation solutions. You will also be responsible for documenting integration processes, workflows, and configurations for internal reference and training purposes. To excel in this role, you should stay updated on the latest trends in AI and automation, research and evaluate new tools and technologies, and continuously strive for innovation and improvement. A bachelor's degree in computer science, engineering, information technology, or a related field is required, along with proven experience in working with AI systems, building automation workflows, and hands-on experience with N8N or similar workflow automation platforms. Understanding of API integrations, RESTful services, webhooks, excellent debugging and troubleshooting capabilities, effective communication and teamwork skills, as well as strong problem-solving and analytical skills are also necessary qualifications for this position. Preferred qualifications include experience with AI models or conversational agents, familiarity with scripting/programming languages like Python or JavaScript, prior experience in customer support automation or help desk environments, and knowledge of Agile and Scrum methodologies. In return, we offer a competitive salary and benefits package, flexible working hours to support a healthy work-life balance, access to continuous learning and professional development programs, and a dynamic and innovative work environment with opportunities for growth. This is a full-time, permanent position with benefits including Provident Fund, and the work location can be either in person or remote based on individual preferences.,

Job Description: About Avaya Businesses are built by the experiences they provide, and every day, millions of those experiences are delivered by Avaya. Organizations trust Avaya to provide innovative solutions for some of their most important ambitions and challenges, giving them the freedom to engage their customers and employees in ways that deliver the greatest business benefits. Avaya contact center and communications solutions help power immersive, personalized, and unforgettable customer experiences that drive business momentum. With the freedom to choose their journey, there's no limit to the experiences Avaya customers can create. The richness of Avaya's global team diversity is our greatest strength, and we are committed to being a workplace where authenticity and individuality are celebrated, and different perspectives are embraced. Learn more at www.avaya.com. Description ABOUT THE OPPORTUNITY The HR Operations Coordinator is crucial in managing daily tasks related to the GenAI Tool and various HR operations activities. In this role, you will: - Support the execution of all GenAI modules. - Conduct testing and troubleshooting before the launch of AI systems to ensure optimal performance. - Regularly provide reports to monitor tool usage. - For all the AI modules, create process documents and user guides for future reference. - Administer the HR Policy Portal and update HR policies on Intranet. - Manage and administer the Onboarding tool and related tasks. - Support Global Employee Service Center (GESC) administration activities. - Collaborate across functions to resolve challenges and improve processes. - Work closely with different HR teams to address various issues, focusing on delivering exceptional customer service. ABOUT YOU What can you bring - 7-10 years of administrative experience in HR Operations and AI systems. - Experience working in a shared-services or captive operation is preferred. - Excellent communication skills should be able to interact with all department leads and business partners. - Ability to maintain the confidentiality and integrity of all employee data, ensuring all records and information remain secure. - Hands-on experience through projects, internships, or work experience in AI-related roles. - Experience in a shared service environment with knowledge of any AI tools will be a plus. - Strong customer service orientation with a commitment to exceeding expectations. - Proven ability to prioritize, multi-task, and manage multiple deadlines effectively. - Team player with a willingness to assist wherever needed. - Ability to quickly learn and accurately complete complex processes. - Problem-solving skills, with the ability to troubleshoot issues independently or escalate when necessary. - Graduation degree in a related field, such as Human Resources, is preferred. Experience 1 - 3 Years of Experience Education Bachelor degree or equivalent experience,

AGCO is looking to hire candidates for the position of Systems Architect, AI Systems We are seeking an experienced and innovative Systems Architect, AI Systems to lead the design, creation, and evolution of system architectures for AI solutions within our organization The Systems Architect, AI Systems, is a critical role responsible for designing, implementing, and evolving scalable AI architectures that support and drive the company's AI and data strategies The ideal candidate will have extensive experience in architecting, deploying, and managing AI solutions in cloud-based environments, with a focus on high performance, security, and interoperability This role will work closely with data science, engineering, and delivery teams to ensure AI systems are seamlessly integrated across the organizations operations Your Impact AI Systems Architecture: Design and implement scalable architectures that support AI/ML models and data systems, optimizing for performance, cost-efficiency, and security Cloud Platform Expertise: Leverage cloud environments (AWS, GCP, Azure) to architect solutions that support high-volume data processing, storage, and AI model deployment Data Integration & Pipeline Design: Develop and oversee data pipelines that ensure smooth data flow between various sources and AI systems, incorporating best practices for ETL, data lakes, and real-time streaming Model Deployment and Monitoring: Collaborate with ML engineers to establish CI/CD pipelines for model deployment, monitoring, and lifecycle management to ensure models remain reliable and efficient in production Tool Evaluation and Adoption: Evaluate and recommend AI tools, libraries, and platforms that align with business goals, ensuring that the chosen technology stack can support complex AI and data requirements Security and Compliance: Ensure all AI architectures meet security, regulatory, and compliance standards relevant to data handling, model deployment, and user access, particularly with regards to GDPR, CPRA, and industry-specific regulations Documentation and Best Practices: Establish and maintain comprehensive documentation of architecture designs, policies, and processes, promoting best practices across the AI & Data Operations organization Functional Knowledge Advanced AI and Data Systems: Deep understanding of AI architectures, including distributed computing frameworks (e g, Apache Spark, Hadoop), data lakes, data warehousing, and MLOps Cloud Infrastructure and Services: Proficient in AWS (SageMaker, Redshift, Lambda), Google Cloud Platform (BigQuery, Vertex AI), and/or Azure AI services, with a strong grasp of cloud-based data management and ML lifecycle management Containerization and Orchestration: Skilled in Docker, Kubernetes, and other container management tools to ensure scalability and efficiency in model deployment and orchestration Data Security and Governance: Familiar with data governance frameworks and security protocols, including encryption, authentication, and compliance requirements (GDPR, CPRA, etc ), especially as they relate to cloud-based AI solutions Business Expertise Experience in industries such as manufacturing, agriculture, or supply chain, particularly in AI and data use cases Familiarity with regulatory requirements related to data governance and security Experience with emerging technologies like edge computing, IoT, and AI/ML automation tools Your Experience And Qualifications Bachelors degree in computer science, data science, or related field Masters degree or relevant certifications is preferred Experience: 8+ years of experience in systems architecture, with at least 5 years focused on AI and data systems in a cloud environment Programming Languages: Proficient in Python, Java, and SQL; familiarity with R, Scala, or other languages is a plus MLOps Tools: Hands-on experience with MLOps tools and frameworks (e g, MLflow, Kubeflow, Airflow) for model tracking, versioning, and deployment Data Engineering: Strong experience with ETL processes, real-time data streaming (Kafka, Spark Streaming), and data pipeline design Analytical Skills: Strong problem-solving abilities with the capacity to analyze system requirements and design scalable solutions that meet both technical and business needs Communication and Leadership: Excellent communication skills to explain complex architecture concepts to non-technical stakeholders, as well as the ability to lead technical discussions and mentor junior team members Certifications: Relevant certifications are a plus (e g, AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Kubernetes Administrator) Your Benefits

About Turing Turing is a Palo Alto-based leader in AGI infrastructure and generative AI solutions, serving Fortune 500 companies. Backed by $140M in funding and valued at $4B, we are shaping the future of AI. Our team includes experts from Meta, Google, Stanford, and other top institutions, working at the cutting edge of artificial intelligence. Role Overview A premier U.S.-based technology company is seeking experienced C++ developers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Key Responsibilities Review, optimize, and validate AI-generated C++ code for efficiency and performance. Troubleshoot complex coding challenges and enhance AI-driven systems. Manage development cycles, set priorities, and meet project deadlines. Provide constructive feedback, mentor team members, and contribute to a culture of technical excellence. Required Qualifications Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. Minimum of 3 years of professional experience in C/C++ development. Proven track record of leading teams or mentoring developers. Strong analytical thinking, problem-solving abilities, and communication skills. Preferred Qualifications Experience working with large-scale codebases (50K+ lines) and contributing to open-source projects. Proficiency with GitHub for version control and collaborative development. Familiarity with training LLM models and building scalable back-end AI systems. Why Join Us Collaborate with industry leaders and expand your expertise in AI-driven systems. Fully remote, contract-based role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global industry standards. Work on groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

At Capgemini Invent, we believe that 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. We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will 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. Implement efficient knowledge sharing mechanisms between AI agents. 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 a 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 Turing Turing is a Palo Alto-based leader in AGI infrastructure and generative AI solutions, serving Fortune 500 companies. Backed by $140M in funding and valued at $4B, we are shaping the future of AI. Our team includes experts from Meta, Google, Stanford, and other top institutions, working at the cutting edge of artificial intelligence. Role Overview A premier U.S.-based technology company is seeking experienced C++ developers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Key Responsibilities Review, optimize, and validate AI-generated C++ code for efficiency and performance. Troubleshoot complex coding challenges and enhance AI-driven systems. Manage development cycles, set priorities, and meet project deadlines. Provide constructive feedback, mentor team members, and contribute to a culture of technical excellence. Required Qualifications Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. Minimum of 3 years of professional experience in C/C++ development. Proven track record of leading teams or mentoring developers. Strong analytical thinking, problem-solving abilities, and communication skills. Preferred Qualifications Experience working with large-scale codebases (50K+ lines) and contributing to open-source projects. Proficiency with GitHub for version control and collaborative development. Familiarity with training LLM models and building scalable back-end AI systems. Why Join Us Collaborate with industry leaders and expand your expertise in AI-driven systems. Fully remote, contract-based role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global industry standards. Work on groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

As the Lead AI Strategist & Architect at DivyaSree's AI Division, you will drive early-stage AI vision and system design to establish a foundation for scalable AI adoption. The AI Division at DivyaSree is a dynamic startup within the organization, focused on reshaping real estate, education, and hospitality through AI innovation. You will play a pivotal role in defining the high-level AI roadmap, architecting secure and scalable AI systems, and leading the development of AI solutions for internal workflows and customer-facing tools. Your responsibilities will include setting up data pipelines, cloud infrastructure, and MLOps practices while also focusing on research, IP creation, team building, and ecosystem partnerships. To excel in this role, you should have at least 7 years of experience in developing and deploying AI/ML solutions in production environments. Proficiency in multiple AI domains such as NLP, computer vision, and generative AI is essential, along with a strong software engineering background and expertise in Python and relevant AI frameworks. Experience with cloud platforms and MLOps practices is also required. Preferred qualifications include an advanced degree in AI, Machine Learning, or a related field, hands-on experience with generative AI, LLMs, and agent-based systems, as well as contributions to open-source projects or research publications in AI-related fields. Knowledge of data privacy, security, and ethical considerations in AI implementation is also beneficial. In return, DivyaSree offers a unique opportunity to lead the AI vision from day zero, influence both business and tech decisions, work on cutting-edge projects, receive full support from leadership, and have the chance to make a significant impact on the AI ecosystem in India. Join us in building a bold future in AI innovation and be part of a team committed to creating lasting change through technology.,

As a Generative AI Engineer at DYNAMICNEXT, you will be responsible for designing and implementing generative AI systems using cutting-edge tools like ChatGPT, Midjourney, Stable Diffusion, Runway, ElevenLabs, Luma AI, Meshy, Scenario, Kaedim, Triplo3D, and more. You will conduct research and experiments across modalities to create images, videos, audio, narrative, and 3D assets. Your role will involve building, fine-tuning, and evaluating open-source or foundation models to enhance content quality and align with specific game styles. In this position, you will develop pipelines for generating low-poly 3D models, props, and environments that are optimized for Unity integration. You will engineer scalable, modular, and automatable AI content pipelines and infrastructure to streamline asset creation workflows. Collaboration with engineers, product managers, game designers, analytics teams, and artists will be essential to ensure technical alignment and creative fidelity. Key Attributes for success in this role include familiarity with prompt engineering and fine-tuning, experience working with game assets, strong creative thinking to apply generative AI in narrative, level design, or game asset generation, as well as the ability to experiment, prototype rapidly, and iterate based on feedback. Experience with text-to-image, text-to-animation, or voice synthesis tools will be beneficial. The ideal candidate will hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You should have at least 3 years of hands-on experience with AI systems, with a particular focus on generative models. Demonstrated experience in building or integrating AI tools into creative pipelines, ideally within gaming, animation, or interactive media is desired. A passion for AI, games, openness to experimentation, and continuous learning are key qualities we are looking for. If you are ready to be part of our dynamic team and contribute to building the next big thing in gaming, we invite you to apply now and embark on an exciting journey with DYNAMICNEXT.,

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.,

As a Senior Business Analyst, you will play a crucial role in bridging the gap between customers, stakeholders, and technical teams. Your responsibilities will include gathering, documenting, and managing business and functional requirements while preparing comprehensive documentation such as BRDs, user stories, and use cases. It will be essential for you to break down requirements into epics, user stories, and tasks to ensure clarity and understanding. You will be tasked with analyzing current and future state processes to identify improvement opportunities, driving project planning, risk assessment, and effort estimation. Collaboration with development, QA, and product teams will be key to ensuring smooth project delivery. Additionally, you will be involved in UAT planning and execution, change management, training, and communication planning. Your role will extend to working with data science and AI teams to translate business needs into AI/ML use cases and contributing towards identifying AI opportunities across internal and customer-facing processes. Your proficiency in requirement elicitation, documenting business and functional requirements, and hands-on experience with tools like JIRA, Confluence, and Azure DevOps will be crucial. The ability to create BRDs, User Stories, Process Flows, and Wireframes, along with strong stakeholder management and communication skills, will be essential in this role. Deep understanding of Agile methodologies, Scrum frameworks, backlog grooming, estimation, and Agile ceremonies are prerequisites. Familiarity with SQL, advanced Excel for data analysis, exposure to AI/ML-driven solutions, and strong problem-solving abilities are also required. Preferred skills include Scrum Master Certification, Business Analytics certifications, experience with wireframing/prototyping tools, exposure to BI/Analytics tools, familiarity with cloud platforms, experience with API integrations and data migration projects, domain knowledge in specific industries, and understanding of AI concepts and ethical considerations. A bachelor's degree in Computer Science, MCA, or related technical field is a must, along with excellent interpersonal skills, a customer-centric attitude, ownership mindset, and leadership skills. Being flexible, adaptable, and a quick learner of new domains and tools will be beneficial in this role. A passion for emerging technologies like AI, ML, RPA, and automation will further enhance your performance in this position.,

As a Data Analytics focused Senior Software Engineer at PubMatic, you will be responsible for developing advanced AI agents to enhance data analytics capabilities. Your expertise in building and optimizing AI agents, along with strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, will play a crucial role in improving data-driven insights and analytical workflows. Your key responsibilities will include building and implementing a highly scalable big data platform to process terabytes of data, developing backend services using Java, REST APIs, JDBC, and AWS, and building and maintaining Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Additionally, you will design and implement real-time data processing workflows, develop GenAI-powered agents for analytics and data enrichment, and integrate LLMs into existing services for query understanding and decision support. You will work closely with cross-functional teams to enhance the availability and scalability of large data platforms and PubMatic software functionality. Participating in Agile/Scrum processes, discussing software features with product managers, and providing customer support over email or JIRA will also be part of your role. We are looking for candidates with three plus years of coding experience in Java and backend development, solid computer science fundamentals, expertise in developing software engineering best practices, hands-on experience with Big Data tools, and proven expertise in building GenAI applications. The ability to lead feature development, debug distributed systems, and learn new technologies quickly are essential. Strong interpersonal and communication skills, including technical communications, are highly valued. To qualify for this role, you should have a bachelor's degree in engineering (CS/IT) or an equivalent degree from well-known Institutes/Universities. PubMatic employees globally have returned to our offices via a hybrid work schedule to maximize collaboration, innovation, and productivity. Our benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and office perks like healthy snacks, drinks, and catered lunches. About PubMatic: PubMatic is a leading digital advertising platform that provides transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Our vision is to enable content creators to run a profitable advertising business and invest back into the multi-screen and multi-format content that consumers demand.,

We are seeking a highly experienced candidate with over 13 years of experience for the role of Technical Project Manager(Data) in Trivandrum/Kochi location. As a Technical Project Manager, your responsibilities will revolve around owning the end-to-end delivery of data platform, AI, BI, and analytics projects. It is essential to ensure alignment with business objectives and stakeholder expectations. Your role will involve developing and maintaining comprehensive project plans, roadmaps, and timelines for various aspects including data ingestion, transformation, governance, AI/ML models, and analytics deliverables. Leading cross-functional teams, comprising data engineers, data scientists, BI analysts, architects, and business stakeholders, to deliver high-quality and scalable solutions within the defined budget and timeframe will be a key aspect of this role. Furthermore, you will be responsible for defining, prioritizing, and managing product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools. Collaboration with business units to capture requirements and translate them into actionable user stories and acceptance criteria for data and analytics solutions is crucial. Overseeing BI and analytics areas, including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities, will also be part of your responsibilities. It is imperative to ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle in collaboration with governance and security teams. Coordinating UAT, performance testing, and user training to ensure successful adoption and rollout of data and analytics products is vital. Acting as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating when necessary are essential aspects of this role. Additionally, facilitating agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives to foster a culture of continuous improvement is expected. Driving post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards is also a key responsibility. Primary Skills required for this role include: - Over 13 years of experience in IT with at least 6 years in roles such as Technical Product Manager, Technical Program Manager, or Delivery Lead - Hands-on development experience in data engineering, including data pipelines, ETL processes, and data integration workflows - Proven track record in managing data engineering, analytics, or AI/ML projects end to end - Solid understanding of modern data architecture, data lakes, warehouses, pipelines, ETL/ELT, governance, and AI tooling - Hands-on familiarity with cloud platforms (e.g., Azure, AWS, GCP) and DataOps/MLOps practices - Strong knowledge of Agile methodologies, sprint planning, and backlog grooming - Excellent communication and stakeholder management skills, including working with senior execs and technical leads Secondary Skills that would be beneficial for this role include: - Background in computer science, engineering, data science, or analytics - Experience or solid understanding of data engineering tools and services in AWS, Azure & GCP - Exposure or solid understanding of BI, Analytics, LLMs, RAG, prompt engineering, or agent-based AI systems - Experience leading cross-functional teams in matrixed environments - Certifications such as PMP, CSM, SAFe, or equivalent are a plus If you meet the above requirements and are looking for a challenging opportunity in Technical Project Management within the data domain, we encourage you to apply before the closing date on 18-07-2025.,

You will be joining Machinellium Mavericks Projects and Consultants Inc. as a Mechatronics Engineer, where your main responsibility will be the research, design, development, and testing of advanced Intelligent Systems. Your role will involve identifying areas for enhancement in existing designs, creating and executing new designs, and conducting thorough testing. Your innovative mindset will be crucial in developing cutting-edge concepts that showcase forward-thinking and creativity. Your key skills should include experience in the research, design, implementation, and testing of AI systems. Moreover, you should be familiar with control system analysis and design, instrumentation development, sensor integration, data acquisition, and signal analysis. Your proficiency in data-driven product development is essential for this role. Additionally, you should have a deep understanding of application platform technologies such as Visual Studio, Blend, Windows apps, Azure, Windows Phone, iOS, and Android. In this role, you will be expected to create pioneering designs that can be effectively implemented and sustained at the conclusion of the design phase. Your strong analytical abilities, organizational skills, and documentation expertise will be valuable assets in this position. Furthermore, effective communication skills and the ability to perform well under pressure are key qualities that will contribute to your success in this role.,

As an AI Prompter, your primary responsibility will be to provide valuable insights on AI-related projects within the content domain to meet business needs efficiently and at scale. This will involve crafting and optimizing AI prompts to enhance model performance and user interaction. Additionally, you will conduct thorough AI research to remain at the forefront of industry trends and apply the latest discoveries to our projects. Collaboration with development teams to integrate AI functionalities through APIs will also be a key aspect of your role. Furthermore, you will be tasked with documenting and presenting research findings and solutions in a clear and effective manner to both technical and non-technical stakeholders. In addition to the aforementioned responsibilities, you will also be accountable for ensuring the stability, reliability, and performance of AI systems. Active participation in project release and testing processes will be essential to meet the expected requirements. To excel in this role, you are required to have a Bachelor's degree in Business, Communication, Computer Science, Artificial Intelligence, or a related field. Alternatively, equivalent hands-on job experience will be considered. Practical experience in automated AI development and implementation, particularly in IT development projects within the eCommerce sector, will be advantageous. Demonstrated expertise in utilizing various AI tools and platforms, as well as a strong background in designing and optimizing AI prompts for diverse use cases, are essential qualifications. Moreover, extensive knowledge of API integration and management is crucial. Your ability to conduct independent research and translate its outcomes into real-world applications will be a significant asset. Proficiency in the English language, both written and spoken, is vital, enabling you to articulate complex AI concepts clearly. In terms of soft skills, you should possess excellent English communication skills, both verbal and written, expressed in a clear, fluent, and precise manner. Additionally, being agile and capable of acting as a scrum master to align value, priority, and expectations, estimate time and impediments, and organize tasks into short time frames adaptable to changes, is essential. Strong problem-solving skills are necessary, enabling you to address system malfunctions promptly. Effective communication and coordination with the tech team, along with the ability to thrive in a fast-paced environment while managing multiple priorities, are critical competencies for success in this role.,

At PwC, our software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet clients" evolving needs. Combining technical experience with creative thinking, you will deliver innovative software products and solutions. As a software engineer at PwC, your primary focus will be on developing innovative software solutions that drive digital transformation and enhance business performance. Your knowledge will be utilized to design, code, and test cutting-edge applications that revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to grow your personal brand and technical expertise. Anticipating the needs of your teams and clients, you will deliver high-quality results. Embracing ambiguity, you will seek clarity, ask questions, and view challenges as opportunities for growth. Key Skills and Requirements: - Respond effectively to diverse perspectives, needs, and feelings of others. - Utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employ critical thinking to break down complex concepts. - Understand project objectives and your role's broader impact on the overall strategy. - Develop a deeper understanding of the business context and its evolving nature. - Utilize reflection to enhance self-awareness, strengths, and address development areas. - Interpret data to derive insights and recommendations. - Uphold professional and technical standards, including the firm's code of conduct and independence requirements. As a Senior Associate in the Business Services Support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This global team operates across PwC's Acceleration Center (AC) locations, including India. The team is dedicated to leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration Center. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth through innovative products and platforms. Scope of Responsibility: - Collaborate with cross-functional teams to understand business requirements and apply GenAI technologies. - Design, develop, and maintain software solutions for GenAI projects. - Implement event-driven architectures for real-time data processing and analysis. - Utilize containerization technologies for efficient deployment and scalability. - Develop and manage data lakes for storing large volumes of structured and unstructured data. - Use Python as the primary programming language for software development. - Stay updated on advancements in GenAI technologies and recommend innovative solutions. - Document software engineering processes, methodologies, and best practices. Strategic & Technical Orientation: - Proficiency in Python and software engineering best practices for AI systems is essential. - Hands-on experience in developing and deploying AI models in production environments. - Experience in designing, developing, and implementing generative AI models and algorithms. - Conduct research to stay current with advancements in generative AI, machine learning, and deep learning. - Optimize generative AI models for improved performance and scalability. - Develop and maintain AI pipelines, including data preprocessing, model training, and evaluation. Range of Impact: - Deep understanding of state-of-the-art AI architectures. - Proficient in Python and machine learning libraries like TensorFlow, PyTorch, or Keras. - Strong knowledge of data structures, algorithms, and software engineering principles. - Effective communication skills to convey technical concepts to diverse audiences. - Proactive mindset to work independently and collaboratively in a dynamic environment. - Familiarity with cloud-based platforms such as Azure or AWS.,

At PwC, the software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in software engineering at PwC work towards developing innovative software solutions that drive digital transformation and enhance business performance. The primary responsibilities include designing, coding, and testing cutting-edge applications to revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to deepen technical expertise and awareness of strengths. Anticipating the needs of teams and clients is crucial, along with delivering quality results. Embracing ambiguity and utilizing moments of uncertainty as opportunities for growth are key aspects of this position. The required skills and experiences at this level include responding effectively to diverse perspectives, using a range of tools to generate new ideas, employing critical thinking to solve complex problems, understanding project objectives and broader business strategies, enhancing self-awareness through reflection, interpreting data for insights, and upholding professional and technical standards. As a Senior Associate in the Business services support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This team focuses on leveraging advanced technologies to design and develop robust data solutions for the Acceleration Centre. Responsibilities include collaborating with cross-functional teams, designing and maintaining software solutions, implementing event-driven architectures for real-time data processing, utilizing containerization technologies, developing and managing data lakes, and staying updated with the latest advancements in GenAI technologies. Proficiency in Python and software engineering best practices for AI systems is essential for this role, along with hands-on experience in developing and deploying AI models in production environments. Experience in designing and implementing generative AI models, conducting research on the latest AI techniques, optimizing existing AI models, and developing AI pipelines are key responsibilities. The candidate should have a deep understanding of state-of-the-art AI architectures, proficiency in Python and machine learning libraries, strong knowledge of data structures and algorithms, effective communication skills, proactive mindset, and familiarity with cloud-based platforms and services like Azure or AWS.,

Responsibilities Develop and optimize prompts for AI systems to assist developers in generating high-quality code, improving documentation, and automating tasks. Designing, Developing and Refining prompts to enhance the quality and relevance of generated response. Monitor and analyze prompts performance to identify areas of improvements. Understand user behavior and requirements and develop accordingly. Stay proactive in identifying opportunities for innovation and improvement in our AI systems. Stay up to date with advancements in AI, NLP, and prompt engineering, and apply this knowledge to improve our products and processes. Conduct experiments to test and evaluate the effectiveness of different prompts in producing optimal results for end users. Qualifications Knowledge of LLM parameters and configuring these parameters to get different results for prompt. Understanding of all prompt elements and experience in modifying those elements to get better results. Experience with existing prompting techniques. Experience with using suitable prompts for various applications (e.g. Generating code, Generating data, etc.). Experience with RAG and handling hierarchical data (e.g. Codebase) for RAG. Knowledge of capabilities of various LLMs and how can we use different prompts efficiently to improve the capacity of LLMs. Knowledge of scaling, agents, efficiency, hallucination, prompt injection, etc. Understanding of Graph databases and Tabular databases and utilization of prompts to make LLM interact with these databases. Knowledge of latest research on prompt engineering for LLMs.

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. JD -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.