13 Ai Systems Jobs

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.

bout the Role Work closely with customers to support and enable Deep Learning software and application development. Develop software applications to demonstrate Deep Learning use cases primarily in vision analytics workloads. Create application notes and other documentation on software tool flows. Performance and Power measurement and analysis of Embedded AI systems. Necessary qualifications BTech/MTech in EE/CS 4+ years of experience. Experience in building embedded software applications. Experience programming in Python, C, and C++. Experience in vision frameworks like OpenCV, GStreamer, OpenCL, and so forth. Excellent problem-solving skills. Excellent communication skills. Preferred qualifications Experience with video/multimedia/image processing software development. Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and PyTorch. Experience with Driver development in Linux, macOS, or Windows platforms. Experience in debugging hardware. Ability to work both independently and in highly collaborative team environments. Ability to learn new tools and concepts quickly.