1443 Generative Ai Jobs - Page 19

The Data Chapter at our organization serves as a strategic partner, utilizing cutting-edge AI and ML technologies to drive data-led initiatives that help mitigate risk, generate revenue, and enhance operational efficiency. Our primary focus lies in ensuring data integrity and governance, delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout the organization. Through a collaborative approach, we provide timely and actionable solutions that align with the strategic objectives of the company. As a member of our team, your responsibilities will include developing and implementing advanced data science models and algorithms to derive business insights and support decision-making processes. You will collaborate with cross-functional teams to identify and address complex business challenges using statistical analysis and machine learning techniques. Additionally, you will be involved in conducting risk and business model analysis to evaluate the impact of data-driven initiatives on the organization. We encourage exploration and experimentation with emerging technologies like generative AI to enhance our data science capabilities and foster innovation. Problem-solving skills, both independently and as part of a team, are essential for success in this role. To qualify for this position, you should possess 2-6 years of experience in data science, machine learning, or a related field. Proficiency in statistical analysis, data mining, and the application of advanced analytical techniques is required. Hands-on experience in Python coding is a must, along with familiarity with cloud storage and computing. Proficiency in Excel is preferred. You should also have practical experience in developing and deploying data science models and algorithms, including those involving generative AI. Strong problem-solving and critical thinking skills are highly valued, as well as effective communication and collaboration abilities to work efficiently with cross-functional teams. If you are seeking a challenging opportunity where you can contribute your expertise and grow professionally, we invite you to apply now. We offer a competitive salary and benefits package, along with the opportunity to work in a dynamic environment that supports your development and recognizes your achievements.,

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As a Gen AI Engineer at StatusNeo, you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms. Key Responsibilities: - AI Model Development: Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases. - Prompt Engineering: Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs. - Cloud Expertise: Deploy and manage AI models on cloud platforms (e.g., AWS, Azure, GCP) ensuring scalability, security, and cost-efficiency. - Data Management: Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering. - Model Evaluation & Tuning: Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency. - Innovation: Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process. - Collaboration: Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services. - Documentation: Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and reproducibility. Qualifications: - Education: Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Experience: Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models. Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML workloads. Strong background in Prompt Engineering and AI model optimization techniques. - Technical Skills: Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience with NLP, machine learning algorithms, and data preprocessing. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Familiarity with MLOps practices and tools for continuous integration and deployment. - Soft Skills: Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies.,

As a Generative AI & LLM expert, you will be responsible for supporting the AI and ML team in designing, developing, fine-tuning, and deploying large language models and generative AI applications. This role offers a unique opportunity to work with state-of-the-art AI technologies and enhance your skills in machine learning, natural language processing, and deep learning. Your primary responsibilities will include architecting robust systems to integrate LLMs and support retrieval workflows, providing guidance on the use of Vector DBs and model deployment on cloud platforms, optimizing the fine-tuning process for business-specific LLM use cases, and designing applications with on-premise/cloud-based LLM, RAG, Langchain. Key skills required for this role include model training & fine-tuning, data preparation & preprocessing, prompt engineering, model evaluation & optimization, collaborating with cross-functional teams, documentation & reporting, managing and training LLM models, and generating embeddings and managing semantic search via Vector DBs. To qualify for this position, you should have completed a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Additionally, you should have at least 7+ years of experience in building ML pipelines, feature engineering, or deploying models/LLMs on cloud platforms. Other skills considered include experience with machine learning pipelines, model optimization, feature engineering, proficiency in database indexing, familiarity with deploying ML models in cloud environments, leadership skills, and strategic thinking. If you are passionate about working with cutting-edge AI technologies and have a strong background in machine learning and deep learning, we encourage you to apply for this role in our Product Engineering category. You can submit your application by filling in your name, email, phone number, and attaching your resume. We look forward to potentially welcoming you to our team and collaborating on innovative AI projects.,

We are seeking a Full-Stack AI Developer specializing in Generative AI and Large Language Models (LLMs) to take the lead in designing and developing AI-driven applications. This role requires comprehensive full-stack skills encompassing front-end design, backend AI model training and deployment, and scalable infrastructure management. Front-End Development: - Create intuitive and user-friendly interfaces for AI-powered applications. - Utilize modern web frameworks like React and Vue.js to develop responsive UI/UX. - Optimize front-end performance and ensure cross-browser compatibility. Back-End Development: - Develop robust and scalable backend systems for AI model deployment. - Design and maintain RESTful APIs for seamless front-end and back-end integration. - Manage cloud-based infrastructure using platforms such as AWS or Azure. AI Model Development: - Train, fine-tune, and deploy cutting-edge generative AI and LLM models. - Utilize frameworks like TensorFlow and PyTorch for deep learning model development. - Construct efficient inference pipelines for low-latency predictions. Data Engineering: - Design and maintain data pipelines for model training and evaluation. - Perform preprocessing and cleaning of large datasets to improve model performance. - Implement data versioning, monitoring, and reproducibility strategies. Preferred Qualifications: - A graduate degree in Computer Science, AI, Machine Learning, or a related field. - 5+ years of full-stack development experience. - 2+ years of hands-on experience in AI/ML, particularly with generative AI and LLMs. - Strong understanding of machine learning algorithms and NLP techniques. - Proficiency in Python and deep learning frameworks like TensorFlow and PyTorch. Skills & Competencies: - Strong problem-solving and architectural design skills. - Excellent communication and cross-functional collaboration abilities. - Self-motivated with the capacity to handle multiple projects concurrently. - Passion for continuous learning and staying abreast of the latest trends in AI/ML and LLMs.,

As an IT Manager specializing in Generative AI Engineering at Alexion, you will lead the development and refinement of cutting-edge Generative AI systems to tackle complex business problems. You will work closely with the IT Director of Data Science to implement state-of-the-art Machine Learning solutions, focusing on Generative AI. Your role will involve contributing to the full lifecycle development of Generative AI agents, integrating pre-trained models into custom applications, and designing interactive systems for dynamic content. Additionally, you will be responsible for maintaining MLOps infrastructure, implementing user interfaces for seamless interaction with Generative AI functionalities, and monitoring the operational health of AI applications in production. Collaboration with senior engineers, stakeholders, and cross-functional teams will be essential to gather feedback, improve application features, and ensure ethical use of Generative AI models within the Machine Learning ecosystem. To excel in this role, you should hold a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. With at least 3 years of experience in Machine Learning, data science, or software development, you should possess a strong understanding of ML Engineering concepts and tools, Python programming, cloud computing platforms like AWS, Azure, or GCP, and agile methodologies. Communication, collaboration, analytical, and problem-solving skills are crucial for success in this dynamic and innovative environment. Desirable skills include experience in the pharmaceutical industry, a Master's degree in a related field, and a deep knowledge of AI techniques such as NLP, optimization, and deep learning. By joining Alexion, you will have the opportunity to work in an environment where innovation thrives, impacting patients" lives with life-changing medicines. With a commitment to rare diseases and a global presence, AstraZeneca offers a unique and ambitious world for your career growth and development. If you are proactive, eager to learn, and ready to make a difference in the field of Generative AI Engineering, apply now to join us on this exciting journey at Alexion. Date Posted: 18-Jul-2025 Closing Date: 30-Jul-2025,

We are seeking a visionary and hands-on GenAI Capability Leader to spearhead the establishment and expansion of our Generative AI practice within our analytics services division. As the leader in this role, you will be instrumental in developing state-of-the-art GenAI solutions, cultivating top-performing teams, and promoting the integration of AI-driven advancements in both client projects and internal operations. Your key responsibilities will include formulating the GenAI strategy, supervising solution architecture, and achieving tangible business outcomes through the application of AI-powered analytics.,

As a Python API Developer specializing in Product Development, you will leverage your 4+ years of experience to design, develop, and maintain high-performance, scalable APIs that drive our Generative AI products. Your role will involve close collaboration with data scientists, machine learning engineers, and product teams to seamlessly integrate Generative AI models (e.g., GPT, GANs, DALL-E) into production-ready applications. Your expertise in backend development, Python programming, and API design will be crucial in ensuring the successful deployment and execution of AI-driven features. You should hold a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Your professional experience should demonstrate hands-on involvement in designing and developing APIs, particularly with Generative AI models or machine learning models in a production environment. Proficiency in cloud-based infrastructures (AWS, Google Cloud, Azure) and services for deploying backend systems and AI models is essential. Additionally, you should have a strong background in working with backend frameworks and languages like Python, Django, Flask, or FastAPI. Your core technical skills include expertise in Python for backend development using frameworks such as Flask, Django, or FastAPI. You should possess a strong understanding of building and consuming RESTful APIs or GraphQL APIs, along with experience in designing and implementing API architectures. Familiarity with database management systems (SQL/NoSQL) like PostgreSQL, MySQL, MongoDB, Redis, and knowledge of cloud infrastructure (e.g., AWS, Google Cloud, Azure) are required. Experience with CI/CD pipelines, version control tools like Git, and Agile development methodologies is crucial for automating deployments and ensuring efficient backend operations. Key responsibilities will involve closely collaborating with AI/ML engineers to integrate Generative AI models into backend services, handling data pipelines for real-time or batch processing, and engaging in design discussions to ensure technical feasibility and scalability of features. Implementing caching mechanisms, rate-limiting, and queueing systems to manage AI-related API requests, as well as ensuring backend services can handle high concurrency during resource-intensive generative AI processes, will be essential. Your problem-solving skills, excellent communication abilities for interacting with cross-functional teams, and adaptability to stay updated on the latest technologies and trends in generative AI will be critical for success in this role.,

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

The Ad Sales Technology Specialist position at Culver Max Entertainment Pvt. Ltd. (formerly known as Sony Pictures Networks India) in India is seeking a highly skilled and innovative individual to join their Enterprise Technology Group. The ideal candidate will have a strong background in data analytics, AdSales, and digital technologies within the entertainment industry. With over 12 years of experience, the candidate will be instrumental in driving the company's digital transformation initiatives by utilizing advanced technologies such as Generative AI (GenAI), Artificial Intelligence (AI), and automation. This role will be crucial in leveraging data for informed decision-making processes. The candidate should hold a Bachelor's or Master's degree in computer science, Information Technology, Data Science, or a related field. They should have at least 5 years of experience in data analytics, AdSales technology, and digital innovation within the entertainment industry. Proficiency in SalesForce technologies, especially Vlocity/SalesForce Industries for AdSales, as well as extensive experience with AWS datalake and related data management tools, is required. A strong understanding of GenAI, AI, and automation technologies and their application in data analytics is essential. Preferred skills include experience in the entertainment and broadcast industry, familiarity with data visualization tools, knowledge of advanced analytics platforms and programming languages such as Python, R, or SQL, and certifications in SalesForce, AWS, or other relevant technologies. The position is based in Mumbai and requires full-time work from the office. The Ad Sales Technology Specialist will report to the Head of the Enterprise Technology Group and will be responsible for various key tasks related to data analytics, AdSales innovation, technology leadership, AdSales technology management, data management, and integration. The candidate should possess excellent analytical, problem-solving, and decision-making skills, as well as the ability to lead and inspire teams. Exceptional communication and collaboration skills are necessary for effective interaction with diverse stakeholders. At Culver Max Entertainment Pvt. Ltd., employees have the opportunity to work with leading entertainment channels and the promising streaming platform Sony LIV. The company focuses on creating an inclusive and equitable workplace, celebrating diversity with the Bring Your Own Self Philosophy. It has been recognized as one of India's Best Companies to Work For, among the 100 Best Companies for Women in India, and has received the UN Women Empowerment Principles Award, ET Human Capital Awards, and ET Future Skills Awards. Joining Culver Max Entertainment Pvt. Ltd. offers employees the chance to tell stories beyond the ordinary in a dynamic and innovative environment.,

Wipro Limited is a leading technology services and consulting company dedicated to creating innovative solutions that cater to clients" most complex digital transformation needs. With a vast portfolio of capabilities in consulting, design, engineering, and operations, the company helps clients achieve their ambitious goals and establish sustainable, future-ready businesses. With a global presence of over 230,000 employees and business partners across 65 countries, Wipro is committed to supporting its customers, colleagues, and communities in adapting to an ever-changing world. As the PLM Solution & COE Head at Wipro Technologies, you will play a pivotal role in redefining product lifecycle management initiatives within a forward-thinking organization. With more than 15 years of extensive experience in PLM, product design, and development technologies, you will be responsible for strategizing and architecting comprehensive solutions tailored to meet the evolving needs of clients. Your leadership will shape the direction of our PLM solutions by leveraging cutting-edge platforms such as Siemens Teamcenter, Dassault 3DExperience, and PTC Windchill, among others. You will have the opportunity to develop proof of concepts (POCs) swiftly, demonstrating innovative approaches to address critical challenges faced by customers. Your role will necessitate dynamic collaboration with both sales and presales teams to effectively position our advanced solutions and nurture emerging opportunities. By leveraging your expertise in digital technologies and Industry 4.0 paradigms, including MES, IOT, and engineering design services, you will advocate for transformative approaches aligned with client goals. Familiarity with developing projects based on Generative AI for research and development use cases will be considered a valuable asset. The ideal candidate will exhibit adaptability in learning and leveraging new technologies in a rapidly changing landscape. Your engagement with the marketing team will contribute to crafting whitepapers and point-of-view documents that articulate insights on emerging technologies and market trends. With strong strategic thinking, problem-solving, and decision-making capabilities, you will play a key role in aligning our initiatives with the overarching goals of our group. Your collaborative and influential skills will be crucial in distilling complex concepts and presenting them as actionable insights to various stakeholders. Competencies: In this role, the following competencies are essential for success: - Innovate and Lead Change: Embrace new ideas, technologies, and methodologies to drive innovation. - Passion for Results: Maintain focus on achieving tangible outcomes for client satisfaction and organizational growth. - Always One Wipro: Cultivate a collaborative spirit promoting unity and shared goals. - Nurture Client Obsession: Prioritize understanding and addressing client needs at every level. - Grow Our People: Invest in team member development, encouraging continuous learning and career progression. About Wipro Technologies: Wipro Technologies is a global leader in digital transformation, empowering businesses through innovative solutions and services. The company's focus on sustainable and advanced technology practices positions it as a trusted partner for enterprises navigating today's digital economy. Wipro is committed to fostering a culture of inclusivity and creativity, where diverse perspectives drive collaboration and innovation. Join Us: Reinvent your world with us at Wipro. As we build a modern organization, we invite talented individuals to be part of our team and contribute to defining the strategic direction of our solutions in a rapidly evolving digital landscape. Join us in embracing reinvention, challenging conventions, and leveraging technology to deliver exceptional value to our clients. Wipro encourages applications from individuals of all backgrounds and experiences, including those with disabilities. Make an impact and realize your ambitions with us.,

As an AI Engineer at GenAI & Applied ML, you will have the opportunity to work with cutting-edge AI technologies, particularly in Generative AI, Large Language Models (LLMs), and applied machine learning. Your role will involve designing, building, and deploying AI solutions using platforms like OpenAI, Hugging Face, and Cohere, specifically for applications in document intelligence, automation, and Q&A systems. You will collaborate with product and engineering teams to integrate AI features into scalable platforms, utilizing tools like Lang Chain, Flask, and AWS/GCP to deploy models effectively. Your key responsibilities will include integrating RAG (Retrieval-Augmented Generation), prompt engineering, and zero/few-shot learning for domain-specific applications, and developing NLP models using advanced techniques such as NER, topic modeling, embeddings (Word2Vec, FastText), and transformers (BERT, GPT). Additionally, you will be automating data extraction, classification, and analysis using Python, Selenium, and web scraping tools, while utilizing frameworks like TensorFlow, PyTorch, and Scikit-learn for training deep learning models across NLP, CV, and recommendation domains. To qualify for this role, you should hold a Bachelor's/masters degree in computer science, AI/ML, Data Science, or related fields, along with at least 1+ years of hands-on experience in building AI/ML models. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn is essential, as well as familiarity with LLM orchestration frameworks, cloud platforms like AWS, GCP, or Azure, and a strong understanding of NLP, Computer Vision, or Recommendation Systems. Experience with SQL, data pipelines, and big data tools like Hadoop and Spark would be advantageous, along with a good understanding of explainable AI (XAI) and model interpretability. Nice to have for this role would be projects or experience in healthcare AI, document processing, or legal/finance AI applications, familiarity with Flask/Django for API development, and contributions to research or published papers in ML/NLP conferences. Join our team and be part of our mission to solve real-world problems through AI innovation and technology.,

We are seeking a passionate and skilled AI & Machine Learning Developer to become a valuable member of our team. Your responsibilities will involve working on various aspects of Data Science, Machine Learning, and Generative AI, which will contribute to the creation of real-world applications such as predictive analytics and LLM-powered intelligent systems. Joining our AI team will provide you with the opportunity to develop and implement end-to-end solutions utilizing cutting-edge frameworks including PyTorch, TensorFlow, modules, Langchain, llamacpp, among others. This position is perfect for individuals who excel in a dynamic, research-oriented development environment and derive satisfaction from utilizing data and AI to solve complex problems. This is a full-time role with day shift schedule. The work location is on-site.,

As a video creator at Reliance Animation, your primary responsibility will be creating videos using Generative AI. You will be working exclusively with AI technology to produce engaging and innovative video content. Additionally, you will be involved in video editing to ensure the final output meets the desired quality standards. Apart from technical skills, strong communication abilities are essential for this role. You will be expected to effectively collaborate with team members and convey your ideas clearly. Creative thinking plays a crucial role in this position, as you will be tasked with generating unique and compelling concepts for video projects. Reliance Animation is an original IP production company that has been shaping the landscape of animation since 2005. With a commitment to creating fresh and exceptional content, the studio has produced a diverse range of projects. From iconic 3D productions like "Little Krishna" and "Krishna aur Kans" to animated renditions of India's beloved superhero "Shaktimaan," Reliance Animation has proven its ability to deliver captivating storytelling. In addition to original creations, the studio has also undertaken service projects such as "Astra Force," "Ting Tong," "Keymon Ache," "Daduji," "Gaju Bhai," and "Tik Tak Tail." The collaborative spirit of Reliance Animation is evident in projects like "The Davincibles" and "The Twisted Timeline of Sammy & Raj," which showcase the studio's dedication to excellence and creativity. Joining the team at Reliance Animation means being part of a dynamic and forward-thinking environment where innovation and storytelling converge to create unforgettable animated experiences. If you are passionate about leveraging AI technology to push the boundaries of video creation, this role offers a unique opportunity to contribute to a legacy of outstanding animation production.,

You are a skilled AI Developer with 24 years of experience, and you will be joining a dynamic team. Your main responsibility will be to design, develop, and fine-tune AI models for image and text data, focusing on Generative AI technologies such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. You will be implementing, training, and optimizing deep learning models for Natural Language Processing (NLP), Computer Vision (CV), and multimodal AI tasks. Your role will also involve managing the end-to-end lifecycle of AI projects, including data collection, pre-processing, model training, evaluation, and deployment. Collaboration with data scientists, software engineers, and product managers to integrate AI solutions into existing systems and products will be crucial. Staying updated with the latest advancements in AI research and applying innovative techniques to solve complex problems will be expected from you. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with 2 - 4 years of hands-on experience in developing AI solutions, particularly in Generative AI models. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras is necessary. A strong understanding of deep learning algorithms, especially in generative models like GANs, VAEs, and transformer architectures, is required. Experience in pre-processing and augmenting large datasets for training AI models will be advantageous. Moreover, familiarity with cloud platforms (AWS, GCP, Azure) for model training and deployment is preferred. Excellent problem-solving skills and the ability to work collaboratively in a team are essential. Experience with Natural Language Processing (NLP) techniques and frameworks, knowledge of MLOps practices and tools for continuous integration and deployment of AI models, and familiarity with ethical AI practices, including strategies for mitigating bias and ensuring responsible AI usage, will be beneficial for this role.,

Job Summary: As an Associate Product Manager (APM) at Rezo, you will play a key role in supporting the product development lifecycle from ideation to launch by gathering requirements, conducting market research, and collaborating with cross-functional teams. You will assist in defining product features, prioritizing enhancements, and ensuring successful product delivery and user satisfaction. Key Responsibilities: Product Requirements & Roadmapping: - Gather and document product requirements from stakeholders and users. - Assist in defining, prioritizing, and maintaining the product roadmap. Market & User Research: - Conduct market research to identify customer needs, market gaps, and competitive trends. - Analyze user feedback and product analytics to inform feature enhancements. Cross-Functional Collaboration: - Coordinate with engineering, operations, marketing, and sales teams to ensure seamless product development and launch. - Understand requirements raised by cross-functional teams and ensure a smooth development cycle. Project Execution: - Support the Product Manager in managing project timelines and deliverables. - Track key metrics and report on product performance post-launch. Quality Assurance & Documentation: - Participate in product testing and quality assurance processes. - Create and maintain product documentation, training materials, and user guides. UI and Wireframing: - Build wireframes for new feature requests ensuring the best-in-class User Experience and Design hygiene. - Monitor and analyze competitor products and industry trends. Requirements & Qualifications: Education: Bachelor's degree in Engineering, Business Administration, Marketing, Computer Science, or a related field. Experience: - 1-3 years of experience in product management, project development, or a related area (internships excluded). - Familiarity with product management tools (e.g., Figma, Confluence, JIRA) is a must. Skills: - Strong analytical and problem-solving abilities. - Excellent communication and collaboration skills. - Ability to manage multiple tasks and prioritize effectively. - Basic understanding of LLMs, Generative AI, web technologies, and software development processes. Attributes: - Proactive, detail-oriented, and eager to learn. - Comfortable working in a fast-paced, dynamic environment. Why Join Rezo - Opportunity to work on innovative products with a talented, supportive team. - Hands-on mentorship and career growth in product management. - Collaborative and inclusive work culture.,

The Salesforce AI Platform powers AI investments in the Einstein product portfolio across Service, Sales, and other Salesforce clouds, including the recent Einstein GPT capabilities. With the recent industry-wide focus on Generative AI, we are collaborating with multiple external vendors, open-source projects, and internal Salesforce Research teams to host various Language Model Models (LLMs). Our aim is to continuously evaluate and measure quality, build a robust experimentation platform, and enable seamless rollout of these LLMs/prompts. We also strive to enhance LLM/prompt capabilities based on customer data and feedback. We are currently looking for an exceptional Product Manager to lead the future of Sales AI for Salescloud, specifically focusing on building AI capabilities that assist sellers. The ideal candidate for this high-profile role is an experienced product manager who is dedicated to ensuring the success of customers and their teams. This position is perfect for an individual who is ready to elevate their career to the next level. **Your Impact:** - Define and own the product vision, strategy, and roadmap for Sales AI, with a focus on aspects such as Experimentation and Improvements, Prompt tuning, Model fine-tuning, Retrieval Augmented Generation (RAG), Keyword & Vector Search, and No-code model builder experiences. - Drive the end-to-end product lifecycle from concept to adoption, including defining requirements with prioritized features, corresponding justification, and success metrics. - Collaborate with multiple engineering teams to scope, prioritize, and drive feature specifications. - Engage with customers, stakeholders, and partners to provide roadmap updates, gather product feedback, and identify challenges and opportunities. - Stay abreast of industry trends and competition in Generative AI. - Work closely with product marketing on positioning, messaging, and go-to-market strategies. - Serve as a domain and product expert for Salesforce at customer interactions, industry events, corporate events, community sites, and social media. **Required Skills:** - 8+ years of Product Management or similar experience with highly technical products/platforms. - Extensive experience in the AI/ML space, including a strong technical background and the ability to collaborate with engineers and data scientists. - Excellent written and oral communication skills, with experience presenting to executive leadership, participating in the sales cycle, and addressing sensitive issues. - Experience in delivering products or services in an agile/lean environment, including backlog management (user stories, epics, and bugs). - Proficiency in gathering and transforming product requirements into a practical product roadmap. - Experience in fostering collaborations within the company, as well as with external partners and customers. - A degree or equivalent relevant experience is required. Evaluation will be based on core competencies for the role. **Desired Skills:** - Experience in defining and building AI platforms and capabilities that enable different personas to perform tasks as part of the end-to-end ML lifecycle. - Good understanding of Generative AI and the LLM landscape. - Experience in working with ML metrics, evaluations, and benchmarking. - Experience collaborating with Data Science and ML Engineering teams.,

As an experienced Data Engineer with 8+ years of industry experience, you will be responsible for developing robust, scalable Python-based applications that meet the company's requirements. Your key responsibilities will include integrating and implementing Generative AI models into business applications, designing, building, and maintaining data pipelines and data engineering solutions on Azure, and collaborating closely with cross-functional teams to define, design, and deploy innovative AI and data solutions. You will be required to build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems. Continuous research and evaluation of new AI and Azure data technologies to enhance system capabilities will be essential. Additionally, you will participate actively in code reviews, troubleshooting, debugging, and documentation to maintain high standards of code quality, performance, security, and reliability. To excel in this role, you must possess advanced proficiency in Python programming, including knowledge of libraries and frameworks like Django, Flask, and FastAPI. Experience in Generative AI technologies such as GPT models, LangChain, and Hugging Face will be beneficial. Solid expertise in Azure Data Engineering tools like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage is required. Familiarity with AI/ML libraries like TensorFlow, PyTorch, or OpenAI API, RESTful APIs, microservices architecture, and web application development is essential. You should also have a strong understanding of databases (SQL, NoSQL), ETL processes, containerization, and orchestration technologies like Docker and Kubernetes. Strong problem-solving, analytical, and debugging skills are a must-have for this role. Preferred qualifications include a Bachelor's or Master's degree in computer science, engineering, or related fields, prior experience developing AI-enabled products or implementing AI into applications, and Azure certifications (AZ-204, DP-203, AI-102) or equivalent. Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps, will be an added advantage. In addition to technical skills, soft skills such as strong communication, teamwork, ability to work independently, and a passion for continuous learning and professional growth are valued. This full-time position is located in Gurgaon, Noida, Pune, Bengaluru, or Kochi. Join us at Infogain, a human-centered digital platform and software engineering company based in Silicon Valley, where we engineer business outcomes for Fortune 500 companies and digital natives across various industries. We accelerate experience-led transformation in the delivery of digital platforms using cutting-edge technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a Microsoft Gold Partner and Azure Expert Managed Services Provider, with global offices and delivery centers in multiple locations worldwide.,

The Conversational AI team at Walmart is responsible for building and deploying core AI assistant experiences across Walmart, catering to millions of active users globally. As a Staff Data Scientist, you will play a crucial role in leading the evolution of the AI assistant platform by developing highly scalable Generative AI systems and infrastructure. This hands-on leadership position requires expertise in machine learning, ASR, large-scale distributed systems, multi-modal LLMs, and more. Your responsibilities will include partnering with key business stakeholders to drive the development and planning of proof of concepts and production AI solutions within the Conversational AI space. You will be involved in translating business requirements into strategies, initiatives, and projects aligned with business objectives. Designing, testing, and deploying cutting-edge AI solutions at scale to enhance customer experiences will be a key aspect of your role. Collaboration with applied scientists, ML engineers, software engineers, and product managers will be essential in developing the next generation of AI assistant experiences. Staying updated on industry trends in Generative AI, Speech/Video processing, and AI assistant architecture patterns will be crucial. Additionally, providing technical leadership, guidance, and mentorship to a skilled team of data scientists, as well as driving innovation through problem-solving cycles and research publication, are integral parts of this role. To qualify for this position, you should have a Master's degree with 8+ years or a Ph.D. with 6+ years of relevant experience in Computer Science, Statistics, Mathematics, or a related field. A strong track record in a data science tech lead role, extensive experience in designing and deploying AI products, and expertise in machine learning, NLP, speech processing, image processing, and deep learning models are required. Proficiency in industry tools and technologies, a deep interest in generative AI, and exceptional decision-making skills will be assets in this role. Furthermore, you should possess a thorough understanding of distributed technologies, public cloud platforms, and big data systems, along with experience working with geographically distributed teams. Business acumen, research acumen with publications in top-tier AI conferences, and strong programming skills in Python and Java are also essential qualifications for this position. Join the Conversational AI team at Walmart Global Tech, where you will have the opportunity to make a significant impact, innovate at scale, and shape the future of retail while working in a collaborative and inclusive environment.,

As an AI/ML Developer, you will be an integral part of our team of researchers, data scientists, and developers. Your primary responsibility will be to work on cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. This will involve developing and optimizing machine learning and generative AI models to address real-world challenges effectively. Your key responsibilities will include developing and optimizing ML, NLP, Deep Learning, and Generative AI models. You will be expected to research and implement state-of-the-art algorithms for both supervised and unsupervised learning. Working with large-scale datasets in distributed environments will be a crucial aspect of your role. It is essential to have a deep understanding of business processes to select and apply the most suitable ML approaches and ensure the scalability and performance of ML solutions. Collaboration with cross-functional teams, including product owners, designers, and developers, will be essential for the success of projects. You will be required to solve complex data integration and deployment challenges and effectively communicate results using data visualization techniques. As part of a global team, you will collaborate across different time zones. The ideal candidate will have strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers is crucial. Experience with Large Language Models (LLMs), model fine-tuning, and prompt engineering is highly desirable. Proficiency in Python, R, or Scala for ML development is required, along with knowledge of cloud-based ML platforms such as AWS, Azure, or GCP. Experience with big data processing tools like Spark, Hadoop, or Dask is a plus. The ability to scale ML models from prototypes to production, coupled with strong analytical and problem-solving skills, will be key to excelling in this role. If you are passionate about pushing the boundaries of ML and Generative AI, we are excited to hear from you!,

As a Global Data Scientist II at Worley, your main responsibility will be to understand business objectives and develop models to help achieve them. You will be utilizing existing frameworks and standards to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class. Managing the Data Science project life cycle from exploratory data analysis to productization will also be a key aspect of your role. You will collaborate with Architecture, Data Warehouse, and Data Governance teams to provide analytics as a service, mentor team members for AI/ML development, and ensure data quality through data cleaning and acquisition processes. Your role will involve defining validation strategies, preprocessing or feature engineering on datasets, data augmentation pipelines, training models, and tuning hyperparameters. You will also be responsible for analyzing model errors, designing strategies to overcome them, and deploying models to production. Development of ML algorithms to solve problems and exploring and visualizing data to gain insights will be part of your daily tasks. To succeed in this role, you should have proven experience as a Data Scientist in AI/ML or similar roles, with the ability to write robust code in Python. Experience in Generative AI components, supervised/semi-supervised and unsupervised machine learning algorithms, cognitive APIs, NLP, image processing with deep learning, and the complete AI/ML project life cycle is required. Strong knowledge of data structures, data modeling, and software architecture is essential. In addition to technical skills, you should possess outstanding analytical and problem-solving abilities, excellent communication skills, and the capacity to work independently or as part of a cross-domain team. Taking ownership of tasks and being accountable for deliverables will be crucial in this role. To qualify for this position, you should have a minimum of 4-7 years of experience as a Data Scientist on AI and ML projects and hold a Masters in information technology, Big Data, Data Science, AI, Computer Science, or a related field. At Worley, our focus is on fostering a values-inspired culture that encourages belonging, connection, and innovation. We are committed to reskilling our workforce and supporting their transition to becoming experts in low carbon energy infrastructure and technology. Join us to broaden your horizons, explore diverse opportunities, and contribute to delivering sustainable change.,

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. As the Lead of the Digital Workplace tribe in Invent India, you will be responsible for overseeing a team of 20+ consultants. Your role involves driving the maturity and growth of this consulting tribe by working with customers, geo-based teams, and consultants. You will lead GTM activities, including customer conversations, pre-sales, and global RFPs response. Additionally, you will lead and participate in local and global customer engagements, oversee the implementation and integration of Low Code technologies (such as MS Power Platform), MS Copilot, Agentic AI, and other Generative AI solutions within the Workplace. Collaboration with cross-functional teams to drive digital transformation initiatives and enhance organizational efficiency will be a key aspect of your responsibilities. You will also provide strategic guidance and support for process consulting and improvement efforts. The ideal candidate for this role should have 15+ years of experience in Digital Workplace technologies, including MS Power Platform, Low Code technologies, MS Copilot, and Generative AI. A strong understanding of process consulting and digital transformation principles is essential. Excellent leadership, communication, and interpersonal skills are required, along with the ability to work effectively in a fast-paced, dynamic environment. Strong problem-solving and analytical skills are also necessary, along with the ability to engage clients, conduct workshops and sessions, and create engaging presentations and pitches for various clients. A Bachelor's degree in a related field is required, while an advanced degree is preferred. In this role, you will lead and inspire large, distributed teams, delivering superior outcomes for global clients. You will engage directly with C-level executives to shape strategies and make informed decisions that drive corporate success. Implementing structured initiatives for leadership development, succession planning, and team competency enhancement will be part of your responsibilities. Extensive experience in leading strategic planning, implementation, and management of modern workplace transformation is crucial. Expertise in transformation management, program management, and value management of workplace solutions are also expected. You should have a demonstrated ability to communicate complex IT concepts effectively to C-level stakeholders. At Capgemini, 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. Our mission is centered around your career growth, with an array of career growth programs and diverse professions 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. With a responsible and diverse group of 340,000 team members in more than 50 countries, Capgemini has a strong over 55-year heritage. Trusted by clients to unlock the value of technology to address the entire breadth of their business needs, Capgemini delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.,

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements. KEY RESPONSIBILITIES • Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization. • Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics. • Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services. • Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions. Skills/ Competencies Required Technical Skills • Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, LangChain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML • Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. • Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. • Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Soft Skills • Work in a team/ Independently. • Excellent Written & Verbal Communication Skills • Solid critical thinking and questioning skills. • High degree of flexibility - willing to fill in the gaps rather than relying on others • Strong communication skills, especially in presenting data insights. • Flexibility, problem-solving, and a proactive approach in a fast-paced environment

Job Summary: We are looking for an innovative and technically proficient AI Solution Designer to conceptualize, architect, and validate AI-based solutions, with a strong emphasis on Proof of Concept (PoC) development. The ideal candidate will translate business needs into AI-powered solutions, design architecture, guide development teams, and demonstrate feasibility through rapid prototyping and PoCs. Key Responsibilities: 1. Solution Design & Architecture Translate business problems into AI/ML-driven solution designs. Define scalable AI/ML solution architectures using appropriate models, frameworks, APIs, and data pipelines. Collaborate with data engineers, ML engineers, and business stakeholders to ensure alignment. 2. Proof of Concept Development Design and develop PoCs to validate feasibility, performance, and business value of proposed AI solutions. Rapidly prototype AI features using tools such as Python, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc. Document PoC findings, results, and recommendations for full-scale implementation. 3. Technical Analysis & Documentation Conduct deep technical evaluations of AI/ML models, including accuracy, performance, and risk. Create detailed technical documentation including solution architecture diagrams, data flow diagrams, and API specs. Present PoC results and technical recommendations to stakeholders and executive teams. 4. Stakeholder Engagement Engage with cross-functional teams (Product, IT, Business, and Data teams) to understand needs and gather requirements. Act as a bridge between data science, engineering, and business teams to ensure successful delivery of AI initiatives. 5. Innovation & Best Practices Stay updated with the latest trends in AI, including LLMs, Generative AI, and AutoML. Recommend tools, frameworks, and platforms that can accelerate PoC and solution delivery. Promote reusability and modular architecture principles for AI solution components. Design, develop, and deploy conversational AI solutions using various tools such as Wren AI, Voice Flow, and ML algorithms. Collaborate with cross-functional teams to integrate AI models into existing systems and applications. Develop generative AI models for text generation, image processing, and other forms of data manipulation. Troubleshoot issues related to AI model performance and optimize system architecture for improved efficiency. Required Skills & Experience: Proven experience in designing AI/ML solutions and delivering PoCs in a business context. Strong programming experience with Python; exposure to ML libraries like Scikit-learn, TensorFlow, PyTorch. Experience with cloud platforms (AWS, Azure, GCP) and AI services (SageMaker, Azure ML, Vertex AI). Hands-on with APIs and frameworks like OpenAI, LangChain, FastAPI, Flask. Familiarity with MLOps tools (MLflow, DVC, Kubeflow) is a plus. Strong problem-solving, analytical, and architectural thinking abilities. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. Certifications in AI/ML technologies or cloud platforms. Experience with enterprise AI systems or AI product development lifecycle. 3-6 years of experience in Conversational AI development or a related field. Strong understanding of AIMl, Python programming language, TensorFlow/PyTorch machine learning frameworks. Experience with natural language processing (NLP) techniques including large language models like BERT.

About Smartbots Smartbots builds cutting-edge LLM-powered chat and voice agents for enterprises. Our AI solutions help organizations streamline operations, improve customer engagement, and drive business transformation through intelligent automation. Were looking for a Business Analyst who can bridge the gap between enterprise needs and AI-driven solutions by working closely with clients and translating their challenges into clear, actionable requirements for our product and engineering teams. Responsibilities: Collaborate with enterprise clients to understand business needs, challenges, and goals Gather, analyze, and document requirements for Generative AI-driven solutions Translate business problems into technical requirements and user stories Work closely with AI/ML, design, and engineering teams throughout the project lifecycle Ensure solutions align with business objectives and drive measurable value Provide input during testing and deployment phases to validate outcomes Requirements Proven experience delivering software or tech solutions (experience in supply chain , finance , or enterprise operations is a plus) Strong communication, stakeholder management, and problem-solving skills Ability to quickly understand and analyze business processes and suggest relevant AI-driven enhancements Comfort working in a fast-paced, cross-functional environment A curiosity for AI, automation, and emerging technologies Nice to Have Exposure to AI, NLP, or LLM-based platforms Familiarity with tools like Jira, Confluence, or similar project management tools Experience in writing user stories, BRDs, or solution documentation