1435 Generative Ai Jobs - Page 4

Proven leadership experience in managing and developing high-performance teams. Strong background in embedded development using C/C++/Python. Experience in developing control loops for hyperscalers. Hands-on experience with DWDM transmission systems, including coherent transponders, EDFAs, Raman amplifiers, and ROADMs. Excellent communication skills and the ability to collaborate effectively across teams. Experience with test-driven development is desirable. Strong documentation skills to ensure use cases are clear. Responsibilities: Lead and mentor a team of engineers, fostering a culture of innovation and excellence. Architect flex-grid long-haul line systems, considering transmission characteristics of fiber and line system elements, including signal power/OSNR evolution and fiber nonlinearities. Collaborate on the architecture, design, and validation of distributed, link-level optical line system control systems in close cooperation with software development and test teams. Work in a co-development model with key hyperscalers to design future systems. Work closely with the test team to validate and simplify solutions. Create comprehensive documentation to ensure use cases are clear. Drive the overall strategy and vision for your team's contributions to the AI infrastructure space. Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate

As an experienced JAVA/SPRING BOOT Lead/Senior Software Engineer at Open English, you will be an integral part of the AI team, contributing to the development of applications and APIs utilizing Generative AI and Large Language Models. Your role will involve showcasing expertise in Python/Django, along with AI technologies, to support the innovative projects within a fast-paced environment. You should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with over 10 years of software development experience. Your proficiency in Python/Django for at least 7 years, coupled with extensive experience in Python and the Django framework for over 5 years, will be essential. Additionally, your skills in Java and Spring Boot are required, with a strong foundation in software architecture and design patterns. An ideal candidate for this role would have proven experience in creating scalable REST APIs, familiarity with Generative AI, Large Language Models, and other AI technologies like prompt engineering, text-to-speech, and machine learning. Experience with RDBMS such as Postgres, MySQL, distributed multi-tier systems, and client-server architectures is also crucial. Your technical skills should include expertise in writing unit tests using unittest or pytest, knowledge of AI frameworks like TensorFlow and PyTorch, as well as understanding NLP and machine learning concepts. Experience with vector databases such as PineCone, cloud platforms like AWS and Azure for deploying AI models, and proficiency with version control systems like Git are expected. Moreover, knowledge of tools like Jenkins or similar for CI/CD flows will be beneficial for this role.,

As a Program Analyst at the World Bank based in Chennai, India, you will have the opportunity to contribute to addressing global development challenges. The World Bank Group is committed to ending extreme poverty, promoting sustainable development, and increasing shared prosperity in developing countries through innovative projects and data-driven solutions. In the Global Corporate Solutions division, you will be part of a dynamic team supporting Corporate Services within the organization. This division oversees a diverse range of services, including Travel and Visa Services, Food and Conference Services, Staff Services, Mail and Shipping Services, and more. As a Program Analyst, you will work closely with stakeholders to understand reporting needs and translate them into technical solutions. Your responsibilities will include extracting and preparing data from multiple sources, ensuring data integrity and consistency, analyzing large datasets to identify trends, and developing interactive dashboards and reports using tools such as Power BI and Tableau. You will collaborate with the team to automate workflows, apply Generative AI tools for data analysis, and stay updated on industry trends in data analytics and business intelligence. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field, along with a minimum of 3 years of experience in data analysis or business intelligence roles. Proficiency in Power BI, Tableau, Excel, and workflow automation tools is essential. Strong analytical, problem-solving, and communication skills are key attributes for this position. If you are a data-driven professional with a passion for problem-solving and a willingness to learn and collaborate in a fast-paced environment, we encourage you to apply for this exciting opportunity at the World Bank.,

As an experienced developer with 5-7 years of development experience, you will play a crucial role in both back-end and front-end development. In the back-end, you will write optimized code in Python, utilizing frameworks like Django, Flask, or FastAPI. You will also work with the latest Python version to ensure efficient functionality. Additionally, in the front-end, your responsibilities will include developing code using React.js, TypeScript, JavaScript, and CSS libraries such as Tailwind, Material UI, and Bootstrap. You will participate in regular design sessions, code reviews, and agile ceremonies, working closely with the Product Owner/Manager and scrum team to deliver high-quality features within agreed timescales. Moreover, you will identify areas for modification or refactoring within the code-base and lead by example, fostering a culture of high quality, personal ownership, and customer-focused execution. Direct coordination with clients on various project lifecycle aspects will also be part of your role. Your expertise should include strong experience with Python and Django, Flask, or FastAPI, as well as relational databases like Postgres or MySQL. Familiarity with React.js, TypeScript, JavaScript, and CSS libraries is essential, along with modern source control systems like Git and Bitbucket. Furthermore, you should excel in analyzing user requirements, envisioning system features and functionalities, and designing, building, and maintaining efficient, reusable, and reliable code throughout the development lifecycle. Strong experience in designing, extending, and implementing REST or GraphQL APIs, along with database design expertise, is required. Experience with Continuous Integration/Continuous Deployment practices, exposure to AWS, GCP, or Azure, and knowledge of implementing Generative AI solutions in projects are desirable. Familiarity with Agile, Scrum, TDD, building serverless applications using Python, and frameworks like Numpy, Pandas, and PyTorch is a plus. Additionally, experience with testing tools such as Mocha, Chai, Sinon, Supertest, Enzyme, Selenium, Load Runner, JSLint, and Cucumber, as well as SonarQube and writing clean code best practices, is beneficial. Proficiency with Atlassian JIRA and Confluence for managing the application lifecycle, and experience with Docker and Kubernetes, will be advantageous for this role.,

As the Director of Artificial Intelligence at OneMagnify, you will have the opportunity to define, lead, and implement innovative AI strategies across all business functions, driving transformative outcomes and measurable results. Your role will involve establishing strategic priorities for AI initiatives, ranging from foundational research to applied AI solutions, while optimizing resources and driving return on investment. Additionally, you will be responsible for encouraging team growth and expertise, enabling the expansion of AI capabilities across the organization, and fostering a culture of innovation and continuous improvement. OneMagnify is committed to employee growth and development, providing an environment where each colleague can thrive and achieve their personal best. Recognized as a Top Workplace in the United States and India, we take pride in creating a workplace that values collaboration, innovation, and excellence. We are looking for a transformative leader who can drive collaborative, user-centered solutions and stay up-to-date with AI trends. Your role will involve developing and implementing AI strategy, leading AI research and development, building and scaling AI teams, ensuring ethical and responsible AI use, and collaborating with various stakeholders to find opportunities for AI adoption and deliver solutions that address complex business challenges. To be successful in this role, you will need over 10 years of experience leading AI and machine learning initiatives, along with a proven track record in crafting, developing, and deploying large-scale AI solutions for businesses. Technical expertise in AI technologies such as machine learning, deep learning, natural language processing, computer vision, and generative AI frameworks is essential. Additionally, you should have demonstrated strategic leadership abilities, strong business insight, and an educational background in Computer Science, Artificial Intelligence, Data Science, or a related field. If you are a trusted advisor, senior client relationship builder, and possess excellent competence in data, artificial intelligence, software engineering, and data science, we invite you to join our team at OneMagnify and contribute to driving innovation and excellence in AI strategies and solutions.,

As an AI/ML Engineer at our organization, you will be responsible for focusing on building intelligent systems for automated drawing generation using TensorFlow and related AI tools. Your main duties will include designing, developing, and deploying ML models for automated drawing and sketch generation. You will be tasked with implementing and optimizing deep learning models using TensorFlow and Keras. Furthermore, you will collaborate closely with product and design teams to understand drawing requirements and user needs. In this role, you will need to apply various techniques such as CNNs, GANs, transformers, and image-to-image translation to achieve the desired outcomes. Additionally, fine-tuning pretrained models or building custom architectures for generative tasks will be part of your responsibilities. Integration of ML models into production-grade applications, such as web or mobile interfaces, will also fall under your purview. To be successful in this position, you must hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. A minimum of 6-9 years of experience in AI/ML engineering or a related field is required. Proficiency in TensorFlow and Python is essential, along with experience in generative models like GANs, VAEs, and diffusion models. Familiarity with computer vision techniques, especially in drawing/sketch/image generation, is crucial for this role. Hands-on experience with auto drawing tools, datasets, or related automation tasks is highly beneficial. Moreover, you should have an understanding of data preprocessing, augmentation, and labeling for visual tasks. The ability to write clean, scalable, and well-documented code is important. Preferred qualifications include experience with deep learning for design, CAD, or architectural visualization, knowledge of Reinforcement Learning or self-supervised learning methods, and familiarity with PyTorch, OpenCV, and deployment frameworks like TensorFlow Lite or TensorFlow.js. Contributions to open-source projects in ML or generative AI would be a plus. At our organization, we prioritize a culture of caring and provide ample opportunities for learning and development. You will have the chance to work on interesting and meaningful projects that make an impact. We also value balance and flexibility, offering various work arrangements to help you achieve a healthy work-life balance. As part of a high-trust organization, integrity and trust are integral to our values. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with clients to transform businesses and redefine industries through intelligent products, platforms, and services. If you are looking to be part of a dynamic team driving digital innovation, this role might be the perfect fit for you.,

You are a professional with over 5 years of experience in data science, focusing on predictive modeling and optimization. Your expertise includes hands-on experience in Data Science on GCP, Generative AI fundamentals, and proficiency in Python (and/or R), SQL, and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. You have a strong understanding of Cloud Architecture and the deployment of data solutions in cloud ecosystems like Azure, GCP, and AWS. Additionally, you have experience in deploying ML models in production using tools like MLflow, Kubeflow, Docker, and Kubernetes. Your proven expertise encompasses machine learning, mathematical optimization, and NLP techniques, including LP, IP, genetic algorithms, RL, and familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. You also possess a strong grasp of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams are essential for this role. Your responsibilities in this role include writing and reviewing high-quality code, understanding clients" business use cases and technical requirements to translate them into technical designs, mapping decisions with requirements, identifying and narrowing down the best solutions, defining guidelines and benchmarks for NFR considerations during project implementation, writing design documents, reviewing architecture and design aspects, developing and designing solutions for functional and non-functional requirements, understanding technology integration scenarios, resolving issues raised during code/review through systematic analysis, and carrying out POCs to ensure suggested designs/technologies meet requirements. You hold a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,

The Full-stack Developer job description entails a range of responsibilities and tasks. As a Full-stack Developer, you will be responsible for designing and developing high-performing, scalable, AI-driven applications. You will collaborate with a team of innovative individuals to deliver groundbreaking solutions in the AI space. Additionally, you will be expected to explore new technologies and frameworks, pushing boundaries and contributing creative ideas. Your role will involve coding, testing, and operating node.js based services efficiently to identify and rectify defects proactively. To qualify as a Node.js Developer, you should possess a BE/BTech degree in computer science or a related field. A minimum of 4-6 years of prior experience as a full-stack Developer is required. Proficiency in Node.js and familiarity with at least one front-end framework such as Vue, React, or Angular are essential. Knowledge of Python, along with basic AI/ML concepts and frameworks, is advantageous. Any expertise in Generative AI and prompt engineering will be highly beneficial. Hands-on experience with a Cloud platform and CI/CD pipelines is desirable. Moreover, experience working with various databases, including both SQL and NoSQL, and an understanding of the entire web stack, encompassing protocols and web server optimization techniques, are necessary for this role.,

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. Interact with C-level at our clients on a regular basis to drive their business towards impactful change. Lead your team in creating new business solutions. Seize opportunities at the client and at Metyis in our entrepreneurial environment. Become part of a fast-growing international and diverse team. Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross-functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like Pandas and Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. Hands-on experience with MLOps and model governance best practices in production environments. Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions. Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).,

Capgemini is looking for a Director to provide Marketing Operations services to its top fortune 500 clients. The role involves delivering Content Operations, Campaign Services, and Performance Marketing solutions to drive marketing and sales outcomes. As a results-oriented senior leader, you will be responsible for global delivery and client relationship management across multiple projects. If you are motivated by hyper growth challenges and enjoy impressing clients with innovative solutions, this leadership position is ideal for you. Your primary responsibilities will include ensuring delivery excellence for all programs and accounts within the practice through robust governance and review mechanisms. You will focus on continual innovation to develop future-proof solutions for marketing functions, emphasizing industrialization, delivery process standardization, and reuse across marketing operations and digital marketing scopes. Additionally, you will be expected to develop use cases in generative AI and other relevant technologies for marketing process optimization. You will also play a key role in accurately forecasting revenue, head count, profitability, margins, bill rates, and utilization, with a strong emphasis on demand prediction and fulfillment. Representing Capgemini in client steering committee meetings, building executive relationships, enhancing customer satisfaction, and identifying business development opportunities will be integral parts of your responsibilities. Collaborating with Practice/Global Account Managers/AE/BDE to drive business growth across various industry verticals and market units will also be crucial. The ideal candidate should have at least 18 years of experience in a large marketing shared services or marketing service provider, with a proven track record in delivery management for global clients. A minimum of 10 years of experience in leading delivery teams, a good understanding of the latest technologies and platforms in marketing, and previous experience with international clients are essential. Excellent communication skills and the ability to work effectively with cross-cultural teams are required for this role. In addition to focusing on the current programs within the market unit, you will be responsible for developing a strategic roadmap for the future in collaboration with AE/BDEs/Sales Leaders. Your role will involve looking ahead 2-3 years to ensure the delivery function runs efficiently and effectively. Previous experience in leading delivery in a recognized agency will be advantageous in this position.,

As a Lead Engineer at OJ Commerce, a rapidly expanding online retailer with headquarters in Florida, USA, and an office in Chennai, India, you will play a crucial role in driving the marketing efforts for a product line with a compound annual growth rate (CAGR) of 70% to achieve a targeted revenue run rate of US$ 200 million in three years. OJ Commerce is committed to delivering exceptional value to customers through cutting-edge technology and strategic brand partnerships, offering a seamless shopping experience with high-quality products at unbeatable prices. With an extensive product portfolio of over a million SKUs and more than 2,500 brands, OJ Commerce has rapidly emerged as a top-performing e-commerce channel. As a highly experienced and motivated Lead Engineer, you will be responsible for leading and mentoring a team of AI/ML engineers and researchers. Your role will involve architecting and deploying scalable Generative AI solutions, designing end-to-end machine learning pipelines, working with large-scale datasets, and collaborating with cross-functional teams to integrate AI capabilities into applications. You will stay updated with the latest trends in AI/ML and ensure ethical, secure, and responsible AI development. To excel in this role, you should have 5-10 years of hands-on experience in AI/ML, with a strong understanding of deep learning, NLP, computer vision, or generative models. Proficiency in Generative AI frameworks such as OpenAI, HuggingFace, LangChain, and Diffusers, as well as ML libraries like TensorFlow, PyTorch, and scikit-learn, is essential. Strong programming skills in Python and familiarity with cloud platforms and MLOps practices are required. Experience deploying models in production environments and excellent problem-solving, communication, and analytical skills are also necessary. Nice-to-have skills include research contributions in AI/ML conferences or journals, experience with multi-modal models, knowledge of Reinforcement Learning, Prompt Engineering, or AutoML, and exposure to data governance, model explainability, and AI ethics. In return, OJ Commerce offers a competitive salary, medical benefits/accident cover, flexi office working hours, and the opportunity to work in a fast-paced start-up environment.,

As a Senior Python Developer with over 5 years of experience, you will be responsible for developing scalable and efficient backend systems using Python and Django. You will have the opportunity to work on a variety of tasks such as designing and developing RESTful APIs, integrating third-party services, and writing clean, maintainable code that scales effectively. If you have a passion for building real-time, event-driven systems and enjoy rapid prototyping of new features, this role is ideal for you. Experience with Generative AI (GenAI) is considered a strong asset. Your responsibilities will include: - Building and maintaining backend services using Python and Django - Designing and developing RESTful APIs and integrating third-party services - Writing efficient, clean, and scalable code - Rapid prototyping and iterating on new features and experiments - Collaborating with cross-functional teams to implement full-stack features - Handling async tasks using Celery or other lightweight job queues - Participating in code reviews, testing, and deployment processes We are looking for candidates who possess: - 5+ years of backend development experience in Python - Strong proficiency in Django and Django REST Framework - Comfort with relational databases such as PostgreSQL or MySQL - Experience with AWS services like EC2 and S3 - Track record of fast prototyping and experimentation - Focus on writing clean, modular, and efficient code - Familiarity with Git and CI/CD tools Nice-to-have skills include exposure to Generative AI tools or APIs (e.g., OpenAI), experience with Celery, Redis, or RabbitMQ, familiarity with FastAPI and async Python, and awareness of performance tuning and basic observability tools. At our core, we are driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We foster a culture of agility, innovation, and an unwavering commitment to progress. Our organizational framework is streamlined yet vibrant, characterized by hands-on leadership that prioritizes results and fosters growth. Working with us comes with several perks, including clear objectives aligned with our mission, abundant opportunities for engagement with customers and leadership, progressive career paths, continuous learning through Nexversity, a hybrid work model promoting work-life balance, comprehensive family health insurance coverage, and accelerated career growth opportunities. As a company, we enable high-growth enterprises to build hyper-personalized solutions that transform their vision into reality. By leveraging creativity, new technology, and the power of data and AI, we co-create tailored solutions to meet unique customer needs. Join our passionate team and grow with us!,

As a Junior Data Scientist in our Artificial Intelligence team, you will be responsible for implementing machine learning models, conducting experiments, and collaborating with senior team members to enhance existing machine learning frameworks. With 1 to 2.6 years of experience, you should have a foundational understanding of AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision. A Bachelor's degree or Master's in computer science, mathematics, or a related field is required. Your duties will include working on machine learning prototypes, participating in training and retraining models, and assisting in constructing data pipelines. You will collaborate with managers and senior data scientists to refine objectives and gain experience in server-side deployment of models. Strong analytical skills, knowledge of machine learning frameworks, and programming proficiency in Python, Java, or R are essential for this role. Located in Indore, MP, you will work from the office and may be required to travel to our global locations in the USA, UK, Australia, and the Middle East. This position offers an excellent opportunity to grow your skills, innovate in the field of data science, and contribute to the development of machine learning systems. If you have a passion for continuous learning and a strong foundation in AI and machine learning, we encourage you to apply from any of the listed locations.,

As an AI Model Developer, you will be responsible for designing and implementing advanced Generative AI models to support applications across various domains, such as text generation, summarization, and conversational agents. You will utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases. Your role will also involve developing and maintaining fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs. You will focus on ensuring optimal performance and low-latency for API endpoints, with a strong emphasis on real-time data processing. Additionally, you will be tasked with building and optimizing data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex. Integration of AI models with external services, databases, and other backend systems to create end-to-end solutions will also be part of your responsibilities. Collaboration with cross-functional teams, including data scientists, machine learning engineers, and product teams, will be essential. You will work closely to define project requirements, technical feasibility, and timelines. Furthermore, you will collaborate with front-end developers to integrate AI-powered functionalities into web applications. Model optimization and fine-tuning will be crucial in your role. You will be required to fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases. Efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management will also be part of your tasks. Maintaining high standards of code quality, writing clear, maintainable code, and conducting thorough unit and integration tests will be essential. Documenting AI model architectures, APIs, and workflows for future reference and onboarding of team members will also be part of your responsibilities. Staying updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contributing to the adoption of new techniques and technologies will be expected. You will be encouraged to propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems. In terms of required skills and experience, expertise in Generative AI, strong experience with GPT-3/4, LLaMA, or other large language models, hands-on experience with LangChain and LlamaIndex, proficiency in Python, API development with FastAPI, NLP, machine learning, familiarity with databases, version control, and CI/CD are essential. Preferred skills include containerization, cloud deployment, data engineering, and knowledge of front-end technologies. Overall, as an AI Model Developer, you will play a critical role in developing and optimizing AI models, collaborating with cross-functional teams, and driving innovation in the field of Generative AI.,

As an AI Researcher at our company, you will be part of a dynamic team that is dedicated to leveraging AI technologies to revolutionize the retail industry. Your primary responsibility will be to design, develop, and implement cutting-edge AI models and algorithms that address the specific challenges faced in the retail sector. You will have the opportunity to work on a wide range of projects, including personalized recommendation systems, workforce optimization, demand sensing, multi-agent systems, digital humans, personified AI, and embodied AI. Your role will involve researching and developing state-of-the-art machine learning, deep learning, and reinforcement learning models to tackle retail-specific problems effectively. In this position, you will play a crucial role in defining and leading the research agenda for AI within our organization. This will involve focusing on generative AI, multi-agent systems, and other emerging advancements such as reasoning optimization and AI governance. You will collaborate closely with cross-functional teams, including data engineers, product managers, and domain experts, to identify high-impact use cases in retail such as pricing strategies, supply chain efficiency, and customer behavior prediction. Furthermore, you will be responsible for analyzing large datasets from retail environments to extract valuable insights and validate the performance of the AI models developed. You will also work on prototyping and deploying scalable AI solutions that seamlessly integrate into retail workflows, ensuring maximum efficiency and effectiveness. As an AI Researcher, you will be expected to stay updated on the latest trends and advancements in the field of AI, exploring new techniques and adapting them to address the unique challenges faced in the retail industry. Additionally, you will have the opportunity to publish your findings, contribute to internal knowledge sharing, and potentially represent our company at industry conferences or in academic publications. If you are passionate about AI and its applications in the retail sector, and if you possess the skills and motivation to drive innovation in this field, we invite you to join our team and be a part of our mission to transform the retail industry through AI-driven solutions.,

As the AI/ML Solutions Lead, you will play a crucial role in leading the design, development, and implementation of enterprise-scale AI/ML solutions tailored for real-world applications. Your responsibilities include collaborating with cross-functional teams to decipher business requirements and translate them into robust AI/ML strategies. You will be tasked with developing and optimizing generative AI solutions using cutting-edge tools and frameworks like LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents. Your expertise in Python and frameworks such as PyTorch and TensorFlow will be pivotal in constructing sophisticated machine learning models and algorithms. Additionally, you will analyze data, identify trends, and deliver actionable insights to stakeholders. Mentoring junior data scientists to foster a culture of innovation and continuous learning within the team will also be part of your role. Engaging with clients to provide project updates, understand their analytical needs, and deliver tailored AI solutions is another key aspect. Your strong analytical skills will be essential in solving complex problems and enhancing existing models and algorithms. To excel in this role, you are required to have a minimum of 5 years of experience in developing and implementing AI/ML-powered services and algorithms. Deep understanding of deep learning models for structured/unstructured data is crucial. A proven track record of building enterprise-scale AI/ML solutions showcasing initiative and strategic thinking is highly valued. Proficiency in generative AI and large language models (LLMs) is a must, along with hands-on experience in Python and a deep understanding of ML frameworks like PyTorch and TensorFlow. Familiarity with cloud ML stacks such as Azure and AWS is advantageous. Your strong analytical and problem-solving skills will enable you to extract insights from complex datasets effectively. Excellent communication skills are essential for leading cross-functional teams successfully. Moreover, you should possess knowledge of ETL processes, data pipelines, model evaluation and validation techniques, time series analysis and forecasting, model deployment, and monitoring tools like Docker, Kubernetes, MLflow, and Airflow. Experience in building reproducible pipelines for training and serving models is also beneficial. Your ability to lead teams and contribute as an individual will be crucial in this role. Joining our team offers you a dynamic and thriving culture with a flat-hierarchical, friendly, engineering-oriented, and growth-focused environment. You will have ample opportunities for learning and growth, free health insurance, access to office facilities including a game zone and an in-office kitchen with affordable lunch service and free snacks. We offer sponsorship for certifications/events and library services, flexible work timing, leaves for life events, work-from-home, and hybrid options. (ref:hirist.tech),

As an AI/ML Engineer (Python Developer) at Cybernetyx, you will play a crucial role in the development of intelligent and adaptable AI agents. Your primary responsibility will be to design and develop sophisticated AI/ML models that can be utilized across various industries, ranging from automation and analytics to interactive systems. By leveraging your skills, you will contribute to the creation of systems that can learn, adapt, and effectively solve complex real-world problems, thereby shaping the future of AI and participating in groundbreaking innovations. Your tasks will involve working with diverse datasets to construct robust data pipelines and derive valuable insights that will drive the development of AI agents. Additionally, you will be responsible for deploying AI models into real-world applications, ensuring optimal performance, scalability, and reliability. Your role will also entail researching and implementing cutting-edge AI techniques, exploring new algorithms and methodologies to enhance the capabilities of the AI agents. Collaborating with a multidisciplinary team will be essential, as you share knowledge, foster innovation, and contribute to a dynamic development culture. To excel in this role, you should possess at least 3-4 years of experience in developing and deploying AI/ML models across various applications. Strong proficiency in Python and familiarity with key AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn are essential. Experience in working with diverse datasets and deploying models on cloud platforms like AWS, GCP, or Azure is highly beneficial. A genuine passion for constructing AI agents that tackle real-world challenges across different sectors, coupled with excellent problem-solving skills, a collaborative mindset, and a thirst for continuous learning, will make you a great fit for this position. Moreover, any prior experience in areas like Reinforcement Learning, Time Series Analysis, Large Language Models (LLMs), or Generative AI is preferred. Joining Cybernetyx will offer you the opportunity to make a cross-industry impact by contributing to the development of AI agents that revolutionize various domains. You will be part of a team that is at the forefront of AI advancement, engaging in cutting-edge innovation. The company is committed to your professional growth through challenging projects and upskilling opportunities, fostering a dynamic culture that thrives on collaboration and innovation. It is important to note that this position is based in Bangalore and requires on-site presence five days a week. Immediate joiners or candidates with a notice period of 15 days or less are preferred. Additionally, eligibility is restricted to male candidates as per internal team requirements. If you are enthusiastic about creating powerful and adaptable AI systems that have a significant impact across multiple industries, we encourage you to apply. Share your resume along with a brief cover letter highlighting your experience and passion for AI innovation. Let's work together to shape the future of intelligent systems.,

As an experienced AI/ML Architect, you will play a crucial role in leading the design, development, and deployment of cutting-edge Generative AI solutions. Your deep understanding of AI/ML architectures, technical leadership skills, and expertise in cloud platforms like GCP will be instrumental in designing robust, scalable, and production-ready systems. Collaborating closely with cross-functional teams and stakeholders, you will implement state-of-the-art AI solutions that address real-world challenges and drive business value. Your responsibilities will include providing technical leadership by guiding development teams through best practices and architecture reviews. You will design end-to-end Generative AI solutions, develop data pipelines, train models, deploy solutions, and monitor them in real-time. Leveraging MLOps tools, you will automate workflows for scalable and repeatable deployments. Your role will also involve optimizing deployment pipelines using tools like Docker, Kubernetes, and cloud-native services, ensuring seamless integration into existing CI/CD pipelines. In addition, you will focus on building scalable ETL workflows, implementing data preprocessing, and feature engineering pipelines to prepare data for Generative AI applications. Identifying and implementing optimization strategies for model performance enhancement will be a key aspect of your work. You will also drive the development of Proof of Concepts (POCs) and pilot projects, collaborating with delivery and product teams to scale successful pilots to production-grade solutions. To excel in this role, you should have at least 10 years of experience in AI/ML architecture, model development, and production deployment. Your expertise in designing, implementing, and scaling Generative AI and LLM-based solutions, along with hands-on experience with frameworks like LangChain and RAG, will be invaluable. Proficiency in Python, SQL, MLOps tools, containerization, and CI/CD pipelines is essential. Your strong technical leadership, communication skills, and strategic thinking abilities will be crucial in driving the adoption of Generative AI solutions and enabling continuous improvement. Joining our team will provide you with the opportunity to work on cutting-edge AI solutions, collaborate with a technology-driven team, and drive innovation through technical leadership and mentorship. You will have access to the latest AI/ML technologies and frameworks, ensuring continuous professional growth in this dynamic field.,

As a Data Engineer at our company, you will be responsible for designing, developing, and maintaining scalable and efficient data pipelines using SQL and Python to extract, transform, and load data from various sources. You will collaborate closely with BI teams to ensure data readiness for reporting and analytics, optimizing data structures for performance and usability. Implementing and enforcing data quality checks and validation processes will be crucial to ensure accuracy, consistency, and reliability of data. Additionally, you will contribute to Gen AI initiatives through data preparation, testing, validation, and labeling of data to train and refine AI models. Identifying and implementing strategies to improve the performance and efficiency of existing data processes and queries will be part of your responsibilities. You will also partner with data scientists, analysts, and other engineering teams to understand data requirements and deliver integrated, impactful data solutions. Creating and maintaining comprehensive documentation for data pipelines, data models, and data will be essential in this role. The ideal candidate will have 5-7 years of hands-on experience as a Data Engineer or in a similar data-focused role. Strong proficiency in SQL for complex querying, data manipulation, and optimization, as well as experience in supporting Business Intelligence (BI) initiatives, is required. Excellent programming skills in Python for data processing, scripting, and automation are essential. Experience or a strong interest in Gen AI Testing, Validation, and/or Labeling is a plus. A solid understanding of data warehousing principles, ETL/ELT methodologies, and data modeling is expected. Strong analytical and problem-solving skills with meticulous attention to detail are crucial. Effective communication skills for collaboration within cross-functional teams are also necessary for success in this role.,

As a Consultant in the Transform Marketing Organization at Accenture, you will play a crucial role in providing transformation services centered around key offerings like Transformative Marketing, Martech, Brand & Creative, and Scaled Marketing Services. These services aim to help clients evolve into living businesses by optimizing their marketing, sales, and service strategies, resulting in a powerful and efficient marketing-led growth engine. This transformation drives cost reduction, revenue enhancement, improved customer satisfaction, and positively impacts front-end business metrics. Your responsibilities will involve deep diving into projects to assist CMO organizations in achieving superior performance through relevance. Leveraging Accenture's suite of analytics, consulting, and strategy solutions, you will enable large-scale transformation visions and strategies. Additionally, you will be involved in developing business cases for marketing use cases and solutions, leading marketing assessments, designing campaign strategies, and managing the full spectrum of marketing program execution. To excel in this role, you must showcase your creativity, innovation, and ability to work in a fast-paced environment. Strong analytical skills, a data-driven mindset, client handling abilities, team-building skills, and leadership qualities are essential to succeed in this position. Moreover, you will have the opportunity to work on transformative projects with key clients, collaborate with industry experts, and participate in personalized training modules to enhance your skills. With over 6 years of experience, including 4+ years in driving modern Marketing Organizations and data-driven growth strategies, you should possess strategic advisory skills to conduct diagnostics and visioning workshops. Your hands-on experience in developing customer research designs, insight-led campaigns, and personalized customer experiences will be valuable. Proficiency in working with industry-leading Mar-tech tools and influencing change management initiatives are also crucial aspects of this role. An MBA from a tier 1 institute is the required educational qualification for this position at Accenture.,

You should have expertise in Generative AI with a good understanding of various techniques such as GANs, VAEs, and other relevant architectures. Your experience should include applying these techniques to real-world problems like image and text generation. Familiarity with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling is required. Exposure to both API-based and open-source LLMs based solution design is preferred. In terms of technical proficiency, you should have knowledge in machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Proficiency in data science tools like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and Keras is essential. Experience with cloud computing platforms such as AWS, Azure, and GCP is also necessary. Additionally, familiarity with natural language processing (NLP), Transformer models, attention mechanisms, word embeddings, computer vision, convolutional neural networks, recurrent neural networks, object detection, robotics, reinforcement learning, motion planning, and control systems is required. Understanding data ethics including bias in machine learning and fairness in algorithms is also expected. As an Infoscion, your responsibilities will include diagnosing customer issues, designing innovative solutions, facilitating deployment, and ensuring client satisfaction. You will be involved in developing proposals, solution design, product configuration, conducting pilots, resolving queries, demonstrating solutions, and preparing effort estimates. Leading small projects and contributing to organizational initiatives to provide high-quality solutions to customers is also part of the role. Your primary skills should encompass Artificial Intelligence, Computer Vision, Big Data, and Natural Language Processing (NLP). Proficiency in Machine Learning with Python is a must. Moreover, you should have the ability to develop value-creating strategies, knowledge of software configuration management systems, and awareness of the latest technologies and industry trends. If you possess the required skills and are keen on helping clients navigate their digital transformation journey, this opportunity at Infosys is ideal for you.,

As a Training Program Developer specializing in AI and Machine Learning, your primary responsibilities will include: - Developing, designing, and delivering comprehensive training programs on Generative AI, large language models (LLMs), Azure OpenAI, Azure AI, Machine Learning, and Deep Learning. - Creating training materials such as presentations, hands-on labs, and documentation to support learning objectives. - Conducting training sessions, workshops, and webinars for clients and internal teams to ensure a deep understanding of AI and ML concepts and their practical applications. - Keeping abreast of the latest advancements in AI, ML, and Generative AI technologies to continuously enhance and customize the training curriculum. - Providing expert guidance and support to clients and internal teams on AI and ML projects, including best practices, implementation strategies, and troubleshooting. - Collaborating with consulting teams to align training content with the newest features and updates in Azure AI and related technologies. - Evaluating the effectiveness of training programs through feedback and assessment, and making necessary improvements for high-quality learning experiences. - Mentoring and coaching junior trainers and team members to cultivate a knowledgeable and skilled training team. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Minimum of 5 years of experience in AI, machine learning, and deep learning, with a focus on Azure AI, Azure OpenAI, and related technologies. - Strong expertise in Open-Source large language models (LLMs), Generative AI, and applied Generative AI technologies. - Proficiency in using Azure services and tools, such as Azure Machine Learning, Azure AI Services, and Azure OpenAI. - Hands-on experience with Python/C#, APIs, Notebooks, popular IDEs, and Frameworks like TensorFlow/PyTorch. - Excellent presentation and communication skills to articulate complex concepts clearly and succinctly. - Experience in designing and delivering technical training programs, both in-person and virtually. - Strong problem-solving abilities and the capacity to offer practical solutions to technical challenges. - Passion for teaching and knowledge sharing, coupled with a dedication to continuous learning and professional development. Preferred Qualifications: - Knowledge of multiple Hyper-scalers like Azure, AWS, or GCP. - Certifications in Azure AI, Azure Machine Learning, or related areas. - Experience in developing AI and ML applications using Python, TensorFlow, PyTorch, or similar frameworks. - Understanding of AI ethics, responsible AI practices, and regulatory considerations in AI deployment. - Familiarity with DevOps practices and tools for AI and ML projects. Key Personal Attributes: - Strategic and process-oriented thinking. - Excellent communication and interpersonal skills. - A relentless learner with a passion for new technologies. - Self-motivated with a keenness to introduce new ideas for training and development. - Attitude of taking proprietorship of tasks.,

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Summary: The incumbent will work on real-world projects, helping design, develop, and deploy AI models and data-driven solutions. You will play a crucial role in helping businesses make informed decisions by collaborating with stakeholders, designing data models, creating algorithms, and sharing meaningful insights to drive use case success. Key Responsibilities: AI Solution Development: Design, train, fine-tune, and evaluate generative models (e.g., GPT, LLaMA, Stable Diffusion, DALLE, etc.). Collaborate with cross-functional teams including product, research, and engineering to integrate GenAI capabilities into products. Develop a platform approach, optimize models for performance, latency, and cost in production environments. Model Integration: Integrate foundational models and retrieval-augmented generation (RAG) techniques. Backend Development: Implement backend services and API endpoints to support AI solutions. Frontend Integration: Develop or adapt frontend interfaces for user interaction. Mentor junior engineers and contribute to best practices in model development and deployment. Ensure ethical and responsible AI practices in model design and usage. Person Profile: Qualification: Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics / Statistics, or a related field. Experience / Must Have: 35+ years of experience in machine learning, with at least 2 years focused on generative AI. Preferably with GenAI use cases in Chemical, Pharma, or Manufacturing industries. Highly agile individuals who would like to make an impact in a global setup. Proficiency in Python for data handling and AI-related scripting. Familiarity with data pipeline development, ETL processes, and data preprocessing techniques. Knowledge of testing frameworks and tools to ensure model robustness, as well as experience with automated testing for QA processes. Familiarity with Retrieval-Augmented Generation techniques and their applications. Knowledge of prompt engineering techniques to optimize generative AI models for specific tasks and enhance output relevance. Experience in predictive modeling areas, such as traditional supervised and unsupervised learning. Basic familiarity with foundational generative AI models and Natural Language Processing (NLP).

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. Primary Skills Proficiency in React.js, .NET, and Python. Strong knowledge of Azure Cloud Services, including serverless architectures and data security. Experience with Python Data Analytics libraries: o pandas o NumPy o scikit-learn o Matplotlib o Seaborn Experience with Python Generative AI Frameworks: o Langchain LlamaIndex o Crew AI o AutoGen Familiarity with REST API design, Swagger documentation, and authentication best practices. Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas Nice to have In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms. Mandatory Skill Sets AI, ML Preferred Skill Sets AI, ML Years Of Experience Required 3-7 years Education Qualification BE/BTECH, ME/MTECH, MBA, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline + 28 more Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date Show more Show less