1435 Generative Ai Jobs - Page 11

Key Responsibilities: Act as the subject matter expert for the chatbot platform and its capabilities. Design and develop Python and Groovy-based integrations to connect virtual agents with internal systems. Contribute to all phases of the Software Development Lifecycle (SDLC) . Develop and implement Generative AI / LLM-based solutions and drive their adoption across teams. Translate business and customer needs into functional, scalable chatbot solutions. Enhance platform utilities and tools that support chatbot development and performance. Lead code reviews and promote software engineering best practices. Collaborate with global engineering teams, SREs, and conversational AI professionals. Identify automation opportunities and build scalable AI workflows. Train and improve intent recognition models and maintain virtual agent accuracy. Continuously optimize and evolve production chatbot experiences. Demonstrate and articulate the value of AI solutions via POCs and demos . Primary Skills & Qualifications: Strong experience in Python development . Knowledge of JavaScript, Node.js , and relevant frameworks/libraries. Deep understanding of software design principles and best practices. Solid grasp of NLP, Machine Learning , and AI concepts . Practical experience with Generative AI / LLMs , including model fine-tuning and integration. Hands-on with GitHub , Jenkins , and CI/CD pipelines . Exposure to Agile methodologies such as Scrum. Proficient in Linux environments . Excellent written and verbal communication skills. Preferred/Good to Have: Experience with chatbot platforms such as Amelia, Kore.ai, or Microsoft Copilot Studio. Familiarity with cloud platforms like AWS and Azure. Experience with Docker , Kubernetes , and DevOps workflows. Knowledge of sourcing, labeling , and training data for ML models.

We are looking for a Senior Solution Architect with 10+ years of experience in software development and AI/ML, including 5+ years in Generative AI and Azure ML, with hands on experience in designing and deployment of scalable AI solutions, drive innovation, and collaborate across teams to integrate cutting-edge technologies into business processes. Responsibilities & Skills: Architect and implement AI solutions using Generative AI, ML, and Azure ML aligned with business goals. Lead development of Generative AI models (e.g., GPT, DALL•E, BERT) for NLP, computer vision, and automation. Expert in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn); strong understanding of learning techniques. Hands-on experience with Azure ML, Azure AI Services, Data Lake, Databricks, and MLOps via Azure DevOps. Collaborate with cross-functional teams and mentor junior engineers to foster innovation and best practices. Advise leadership on AI strategy, emerging technologies, and scalable architecture. Define data strategy for AI/ML, ensuring governance, security, and compliance. Stay ahead of AI trends and prototype new solutions for continuous improvement. Engage with stakeholders to translate business needs into technical solutions. Experience with AWS/GCP, hybrid cloud, CI/CD for ML, and certifications in Azure AI/Architect. Familiarity with NLP, computer vision, and reinforcement learning. Proven track record in AI/ML solution architecture and cloud-native deployments. Strong leadership, communication, and stakeholder management skills. Bachelors/Masters in Computer Science or related field; Ph.D. preferred.

Job Title: Senior Software Engineer Job Location: Pune Job Description: Company Introduction Join Nitor Infotech, an Ascendion company, where we leverage advanced technologies to drive innovation and deliver impactful solutions. Our collaborative environment empowers teams to excel in data science and AI. Job Overview We are seeking a Senior Software Engineer with expertise in Generative AI and multi-agent systems to lead complex projects and develop advanced AI solutions. This full-time, remote position reports to the Head of Data Science. Key Responsibilities Technical Leadership Execute complex Generative AI projects utilizing RAG (Retrieval-Augmented Generation) techniques. Design and implement multi-agent AI systems using frameworks like AutoGen, LangGraph, and Crew.AI. Develop advanced AI solutions for image processing, document analysis, and multi-format data handling (PDF, Excel, CSV). Build and optimize Large Language Models (LLMs) with custom embeddings and vector stores. Implement prompt engineering and debugging strategies for agentic AI systems. Project Management & Strategy Oversee the complete project lifecycle from requirements gathering to deployment and documentation. Coordinate with multiple stakeholders across business domains. Translate complex technical insights into strategic business decisions. Ensure projects are delivered on time, within scope, and exceed client expectations. Conduct AI model evaluation and performance optimization. Team Leadership & Mentorship Foster a culture of continuous learning and technical excellence. Facilitate collaboration between NLP/NLU engineers, analysts, and operations teams. Guide team members through complex project challenges and technical problem-solving. Advanced Analytics & Machine Learning Apply advanced ML techniques including bagging, boosting, and clustering algorithms (K-means, hierarchical clustering, DBSCAN). Implement feature engineering and selection methodologies for optimal model performance. Develop hyperparameter tuning strategies for various ML models. Handle imbalanced datasets using advanced AI techniques. Deploy MLOps practices for continuous integration and delivery. Must-Have Skills and Qualifications 3+ years of experience in Data Science, Machine Learning, and NLP. 2+ years of hands-on experience with Generative AI and Large Language Models. 2+ years of experience in Agentic AI and multi-agent systems. Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, NLTK, Spacy). Experience with ML frameworks: XGBoost, CatBoost, AdaBoost, LightGBM, Gradient Boosting. Knowledge of cloud platforms (AWS) and deployment strategies. Expertise in RAG implementation and vector database management (ChromaDB, FAISS). Experience with multi-agent frameworks (AutoGen, LangGraph, Crew.AI). Strong communication skills with the ability to present to both technical and non-technical stakeholders. Proven track record of leading technical teams and managing complex projects. Good-to-Have Skills and Qualifications Masters degree in Computer Science, Data Science, or related field. Published research or patents in the AI/ML domain. Experience with web scraping and data visualization tools (Streamlit, Matplotlib, Seaborn). Familiarity with AutoML and PyParet frameworks. Knowledge of SQL, MySQL, and database management. Understanding of statistical modeling and advanced analytics. What We Offer Competitive salary and performance bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and career growth. A supportive and inclusive work environment. DEI Statement At Nitor Infotech, we embrace diversity in all forms. We actively foster an inclusive environment where every voice is valued. ISMS Statement Nitor Infotech maintains ISO 27001 certification. All employees must adhere to our information security policies. Preferred candidate profile Immediate joiner Pune Location

Your Role Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. Experience with AI and Machine Learning algorithms. Your Profile Experience with Gen AI and Machine Learning algorithms. Experience with Natural Language Processing (NLP). Familiarity with AI platforms and understanding of their capabilities and limitations. Ability to design & implement AI models. What you'll love about working here We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as Gen AI

Your Role Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. Experience with AI and Machine Learning algorithms. Your Profile Experience with Gen AI and Machine Learning algorithms. Experience with Natural Language Processing (NLP). Familiarity with AI platforms and understanding of their capabilities and limitations. Ability to design & implement AI models. What youll love about working here We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programs in the latest technologies such as Gen AI

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

The internship at Cognologix offers a unique opportunity for AI enthusiasts with a keen interest in Generative AI and Computer Vision technologies to work on real-world projects and contribute to innovative solutions. As an AI Intern, you will collaborate with Data Science Engineers throughout the AI development lifecycle, from data preparation to model deployment. Your responsibilities will involve assisting in data collection, cleaning, preprocessing, and annotating datasets tailored for Generative AI and Computer Vision models. You will conduct experiments to test and fine-tune AI models, focusing on metrics relevant to generative and visual tasks. Additionally, you will stay updated on the latest advancements in Generative AI and Computer Vision, contribute to prototyping and implementation efforts, and assist in evaluating and fine-tuning Large Language Models and Diffusion Models. In the realm of Generative AI, you will explore techniques such as prompt engineering and Agentic workflows, and implement strategies to control generated content and ensure model safety. For Computer Vision solutions, you will contribute to the development of models for tasks like object detection, image segmentation, and facial recognition, among others. You will also work on data augmentation strategies and evaluate advanced image and video processing techniques. Maintaining clear documentation of experiments and collaborating with cross-functional teams will be essential aspects of your role. To qualify for this internship, you should have recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or Machine Learning. Strong foundational knowledge of core AI and Machine Learning concepts, proficiency in programming languages like Python, and excellent analytical skills are required. A strong desire to learn, adapt, and contribute in a fast-paced, innovative environment is also crucial. Cognologix is a forward-thinking organization that helps companies disrupt and innovate like a Startup. By reimagining business models and focusing on digital disruption, we assist clients in meeting their strategic goals. As a data-focused company, we empower clients to deliver products efficiently and in a modern, cloud-native manner. This internship opportunity is ideal for individuals passionate about AI, eager to contribute to cutting-edge projects, and driven to make a meaningful impact in the field of Generative AI and Computer Vision.,

You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,

As a Sr. Consultant- Data Scientist at Firstsource Solutions Limited, you will be responsible for designing and implementing advanced Machine Learning (ML) and Deep Learning (DL) models. Your role will involve developing web applications using Flask and FastAPI for real-time data processing and user interaction. Additionally, you will conduct exploratory data analysis, create data processing pipelines, and utilize Generative AI techniques to enhance content generation. Collaboration is key in this role as you will work closely with cross-functional teams to integrate AI capabilities into products and systems. Staying updated with the latest advancements in AI, ML, DL, Computer Vision (CV), and Natural Language Processing (NLP) is crucial to drive innovation within the organization. Effective communication skills are essential for conveying complex quantitative analysis to senior management and other departments in a clear and actionable manner. To qualify for this position, you should possess a Bachelors or Masters or PhD degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling is required. Strong coding skills in Python, proficiency in ML and DL frameworks (such as PyTorch, TensorFlow), CV tools (like OpenCV), and NLP libraries (such as NLTK, spaCy) are essential. Prior experience with generative models like GANs, VAEs, or Transformers, along with deployment skills in Docker, Kubernetes, and CI/CD pipelines, is advantageous. Analytical aptitude and excellent communication skills are also necessary for this role. Possessing certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. Please note that Firstsource maintains a fair, transparent, and merit-based hiring process and does not solicit money at any stage. Beware of fraudulent offers and always verify information through official channels or @firstsource.com email addresses.,

As a Junior Generative AI Developer with 1 to 2.6 years of experience, you will be an integral part of our dynamic team focusing on Artificial Intelligence. Your role will involve working on the development, training, and deployment of AI models, with a specific emphasis on generative AI. Collaboration with senior developers will be key as you contribute towards enhancing AI-driven applications. Your responsibilities will include assisting in the development and implementation of generative AI models and algorithms. You will work closely with senior developers to build, train, and fine-tune AI models using frameworks like TensorFlow, PyTorch, or similar tools. Integration of AI models into applications for optimal performance and scalability will also be a part of your duties. Furthermore, you will participate in data preprocessing, feature engineering, and model evaluation processes. Your role will also involve supporting the deployment and monitoring of AI solutions in production environments. Code reviews, debugging, and optimization of AI models will be essential tasks to ensure effective functionality. To excel in this role, you should possess 1 to 2.6 years of experience in AI/ML development, particularly focusing on generative AI. A solid understanding of machine learning concepts, neural networks, and deep learning frameworks is required. Proficiency in programming languages such as Python, along with exposure to libraries like TensorFlow, PyTorch, or Keras, will be beneficial. Experience with data manipulation tools like Pandas, NumPy, and SQL is also necessary. Familiarity with version control systems such as Git is preferred. Strong problem-solving skills, a keen willingness to learn and adapt, good communication abilities, and the capacity to work collaboratively within a team environment are essential for success in this role. This position is based in Indore, Madhya Pradesh, and is an on-site work opportunity. The role may require you to work across various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you meet the required qualifications and are excited about contributing to cutting-edge AI projects, we encourage you to apply from the specified locations. Join us in shaping the future of Artificial Intelligence and machine learning technologies. Apply Now,

As a Motion Graphic Designer at TMRW House of Brands (ABFRL), you will be responsible for designing and editing all social media and marketing collaterals, including static and video templates. The ideal candidate should be proficient in Adobe Suite, Canva, and should have knowledge of using Generative AI tools like Mid Journey Firefly Dall-e. You must be able to consistently deliver high-quality visual content. With a minimum of 3-5 years of experience in motion graphic design, you will play a crucial role in creating visually appealing designs that are on-brand. Your responsibilities will include studying design briefs, conceptualizing visuals, preparing drafts, developing illustrations and logos, and collaborating with copywriters and the creative team to finalize designs. You should have a strong portfolio showcasing your graphic design skills, familiarity with design software and technologies, a keen eye for aesthetics, excellent communication skills, and the ability to work methodically to meet deadlines. A background in the fashion industry or with agencies will be advantageous. Qualifications for this role include a Graduation/Diploma in Visual Design. This is a contract position with a duration of 1 year, based at Umiya Business Bay Tower-1, Bengaluru, Karnataka. If you possess the required skills and experience, and are interested in this opportunity, please send your resume and portfolio/work samples to aditi.s1-v@tmrw.in.,

As the Head of AI at our company, you will play a crucial role in leading the research, development, and deployment of cutting-edge AI and ML models that drive our SaaS platform. This position requires a unique blend of profound technical knowledge, product insight, strategic acumen, and the ability to make a significant impact on a large scale. Your primary objective will be to translate ambitious AI concepts into practical solutions that bring tangible business value. Your responsibilities will include defining and overseeing the AI roadmap and strategy to align with our product and business objectives. You will design and construct state-of-the-art AI/ML systems and pipelines that are not only robust and scalable but also easy to maintain. Leading and guiding a team comprising machine learning engineers, data scientists, and researchers will be a core aspect of your role. Collaboration with engineering, product, and design teams to seamlessly integrate AI solutions into user-facing features will be essential. You will be at the forefront of exploring and implementing the latest advancements in NLP, LLMs, generative AI, and other pertinent domains to enhance our core product. Additionally, you will be responsible for supervising data collection, annotation, and governance processes to drive AI innovation in a responsible and ethical manner. Your vision and leadership will be instrumental in shaping the foundation of a product that sets new standards in its category. Working alongside industry pioneers in an environment that values initiative and innovation, you will have end-to-end ownership, enabling quick decision-making and the opportunity to witness your work in production promptly. Joining a dynamic, collaborative, and fast-paced team dedicated to pushing the boundaries of AI, you will enjoy perks and benefits such as gym membership, health insurance, company-sponsored lunches, and more.,

Oracle Cloud Infrastructure (OCI) is leading cloud innovation, combining startup agility with the reliability of a top enterprise software provider. The AI Science team focuses on cutting-edge machine learning solutions that address real-world challenges at scale. We are seeking an experienced Sr. Applied Scientist (IC3) with expertise in Generative AI and Computer Vision to develop highly complex and accurate data science models. As a Senior Applied Scientist, you will work on secure, scalable, and innovative AI solutions utilizing advanced techniques in computer vision and GenAI technologies. Key Responsibilities: - Develop advanced AI models and algorithms, particularly in large language model, large multimodal, computer vision, and foundational models. - Design, implement, and test critical features of AI services ensuring correctness, high availability, scalability, and cost-effectiveness. - Advocate best practices for testing, benchmarking, and model validation to ensure reliability and performance. - Analyze ML models, optimize for accuracy and latency, and handle large-scale training and production deployment. - Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. - Implement machine learning algorithms from scratch to production, work with complex data sets, and proactively address technical issues. - Collaborate with product managers, engineering leads, and data teams to define requirements and ensure data quality. - Leverage Oracle Cloud technology to develop best-in-class computer vision solutions for Oracle's business domain at scale. Preferred Qualifications: - Ph.D. or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field. - Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. - Strong foundation in deep learning architectures like CNNs, transformers, diffusion models, and multimodal models. - Proficiency in high-level languages such as Python, Java, or C++, and experience in ML algorithm design and production deployment. - Familiarity with working in cloud environments like Oracle Cloud (OCI), AWS, GCP, or Azure, and Agile development processes. - Strong problem-solving skills, a drive to learn new technologies, and an ability to thrive in a fast-paced work environment. This role offers an opportunity to contribute to cutting-edge AI solutions, collaborate with cross-functional teams, and drive innovation in the field of computer vision.,

We are searching for a Full-Stack AI Developer with specialization in Generative AI and Large Language Models (LLMs) to spearhead the design and creation of AI-driven applications. As a Full-Stack AI Developer in this role, you will be required to exhibit a broad range of capabilities, from creating user-friendly front-end interfaces to developing and deploying backend AI models and overseeing scalable infrastructure. Your responsibilities will include: Development: - Creating intuitive and user-friendly interfaces for AI-driven applications. - Using modern web frameworks like React and Vue.js to craft responsive UI/UX designs. - Ensuring optimal front-end performance and compatibility across different browsers. Backend Development: - Building robust and scalable backend systems for deploying AI models. - Establishing and managing RESTful APIs to facilitate seamless integration between front-end and back-end components. - Overseeing cloud-based infrastructure utilizing platforms such as AWS or Azure. AI Model Development: - Training, fine-tuning, and deploying state-of-the-art generative AI and LLM models. - Leveraging frameworks like TensorFlow and PyTorch for developing deep learning models. - Constructing efficient inference pipelines to achieve low-latency processing. Engineering: - Designing and managing data pipelines for model training and evaluation. - Conducting preprocessing and cleansing of extensive datasets to enhance model performance. - Implementing data versioning, monitoring, and reproducibility practices. Qualifications: - Possession of a graduate degree in Computer Science, AI, Machine Learning, or a related field. - Minimum of 5 years of experience in full-stack development. - At least 2 years of hands-on experience in AI/ML, particularly in generative AI and LLMs. - Strong understanding of machine learning algorithms and NLP techniques. - Proficiency in Python and deep learning frameworks such as TensorFlow. Competencies: - Strong problem-solving skills and aptitude for architectural design. - Excellent communication abilities and aptitude for cross-functional collaboration. - Self-motivated with the capability to handle multiple projects concurrently. - Enthusiasm for continuous learning and staying abreast of the latest developments in AI/ML and LLMs.,

As an experienced Primary Market Research (PMR) leader, your role will involve leading high-impact global research engagements, mentoring teams, and partnering with Data Science & AI experts to modernize insights generation using traditional qualitative and quantitative research methods alongside AI/ML and Generative AI applications. You will be responsible for executing end-to-end PMR projects across therapy areas and geographies, utilizing both traditional methodologies and AI-enhanced techniques to improve study design, analysis, and storytelling. Your key responsibilities will include applying Generative AI tools to accelerate insight synthesis and automate reporting, guiding the integration of machine learning models for survey optimization, and collaborating closely with clients and internal stakeholders to deliver insights aligned with business strategy. Additionally, you will manage and mentor a team of market researchers, maintain strong vendor relationships, and demonstrate storytelling excellence through data-driven narratives that influence strategic decision-making. To excel in this role, you should have at least 15 years of experience in healthcare/life sciences primary market research, with a proven ability to lead multi-country, multi-method projects. Strong knowledge of qualitative and quantitative methodologies is essential, and exposure to tools such as Qualtrics, SPSS, R, or Python is advantageous. Hands-on experience with AI/GenAI platforms for text summarization, sentiment analysis, and automated reporting is desired, along with a passion for exploring emerging technologies in research workflows. Preferred qualifications include a Master's degree in Life Sciences, Market Research, Business Analytics, or related fields, as well as certification or exposure to AI/ML in market research or marketing analytics. Familiarity with healthcare compliance, pharma regulations, and therapy-specific dynamics will be beneficial for this role. Excellent interpersonal, presentation, and client engagement skills, strong project management abilities, and the capacity to thrive in a fast-paced, deadline-driven environment are also key attributes for success in this position.,

As a Senior AI Engineer / Data Scientist at our cutting-edge Ed-Tech company based in Delhi, you will play a crucial role in designing, developing, and deploying advanced AI/ML models that have a significant impact on our business. Your focus will be on utilizing AI technologies to enhance education through various initiatives such as automated question generation, assessment engines, personalized learning solutions, AI tutors, and auto-grading of answer sheets. Your key responsibilities will include designing, optimizing, and implementing AI and machine learning models tailored specifically for Ed-Tech use cases. This will involve working on projects related to question generation, auto-evaluation systems, adaptive learning engines, AI tutors, and automated answer sheet grading. Additionally, you will be responsible for integrating AI models with frontend interfaces and backend server logic, handling both structured and unstructured data using SQL and NoSQL databases, and ensuring high standards of data security, privacy, and compliance. To succeed in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 4-6 years of hands-on experience in AI/ML development. You should have a strong background in Generative AI, time series forecasting, recommendation systems, and real-world AI solutions, as well as proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of machine learning algorithms, data structures, model tuning, and evaluation metrics is essential, and experience with Knowledge Graphs and Docker deployments would be beneficial. Furthermore, you should be adept at developing and maintaining microservices-based architectures, possess strong testing skills using platforms like unittest, and excel in communication, documentation, and team collaboration. Prior experience in Ed-Tech or deploying AI solutions in production environments, as well as active contributions to open-source projects or a well-maintained GitHub portfolio, would be considered advantageous. If you are passionate about leveraging AI to solve real-world challenges in the education sector and thrive in a collaborative, innovative environment, we would love to hear from you. Join our team and be part of revolutionizing education through AI-driven technologies.,

You will be part of the AI/HPC engineering team specializing in platform standardization initiatives, innovation, testing, and optimization of various AI technologies. Your role will involve installation, administration, troubleshooting, and analytical skills in technology stacks such as Linux, Kubernetes, SLUM, Nvidia BCM, and open-source infrastructure tools like Ansible and scripting. As a qualified candidate with a B.E/B.Tech degree and over 7+ years of experience in the IT Infrastructure industry, including 7 to 8 years in HPC and/or AI technology, you should possess a strong knowledge of scripting and Linux, with a minimum of 2 years in Kubernetes. Your responsibilities will include managing, installing, configuring, deploying, troubleshooting, and administrating open-source HPC software like BCM, SLUM, Ansible, and ELK. Additionally, you should have a good grasp of Linux OS with scripting, knowledge in BCM, Nvidia GPU, and Cuda, and experience with Ansible playbook and managing HPC environments. Exposure to Python scripting and familiarity with at least one of the LLM/Generative AI and GPU offerings on public clouds such as AWS, Azure, or Google Cloud will be beneficial. You should also have experience in using DevOps tools for deploying and managing tools like Jenkins, Git, SonarQube, Bugzilla, and Harbor Registry. It would be advantageous if you have knowledge in networking concepts like VLAN, VXLAN, InfiniBand, IP Subnetting, routing, and firewall, as well as in storage technologies such as DDN, Parallel FS, object storage, and NFS. Familiarity with infrastructure components like HP/Dell rack servers and GPU, and management/monitoring tools like Zabbix, Promotus Grafana, and SNow will also be valued.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. Your role involves designing, developing, testing, and maintaining full-stack applications using Python and C#. You will also build and optimize back-end services, APIs, and integrations, as well as design and manage relational database schemas and queries, specifically in SQL Server. Additionally, you will be responsible for designing and deploying applications in Azure, leveraging Azure services for scalability and reliability, and implementing Azure DevOps for CI/CD pipelines and source control. Furthermore, you will integrate Azure AI services into applications to enhance functionality (e.g., Azure OpenAI, Cognitive Services). To be successful in this role, you should have 8-12 years of experience in full-stack application development. Collaboration with cross-functional teams, including product managers, designers, and QA engineers, is essential. You will need to translate business requirements into technical specifications and solutions, follow best practices in code design, testing, and documentation, and ensure the security, scalability, and performance of the applications. At Capgemini, we value flexible work arrangements to provide support for remote work or flexible work hours, allowing you to maintain a healthy work-life balance. We are committed to your career growth and offer a range of career growth programs and diverse professions to support you in exploring a world of opportunities. Additionally, you can equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner that helps organizations 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 leverages its over 55-year heritage to unlock the value of technology for its clients. The Group delivers end-to-end services and solutions, leveraging strengths from strategy and design to engineering, all fueled by market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. In 2023, the Group reported global revenues of 22.5 billion.,

The AI Community Program Manager role involves developing, managing, and expanding a community of AI enthusiasts, professionals, and researchers. You will need to have a passion for technology and the ability to engage and inspire others in the field of artificial intelligence. Your responsibilities will include building a vibrant community through workshops, meetups, and online platforms, designing and implementing community programs, curating engaging content, managing partnerships, conveying the brand's voice and values, gathering feedback for continuous improvement, tracking program metrics, and providing regular reports on community engagement. You should have a Bachelor's degree in computer science, AI, or a related field, with an advanced degree preferred. Proven experience in technology community management or program development is required. A strong understanding of AI technologies and trends, including Machine Learning, Deep Learning, and Generative AI, is essential. Basic knowledge of Python programming, APIs, excellent communication and interpersonal skills, experience in event planning, proficiency in using community management tools and social media platforms, and the ability to work independently and collaboratively in a fast-paced environment are also important. This is a Vendor Consultant role based in Bangalore under the Nasscom AI department, reporting to the Head of AI. If you are passionate about AI technologies and community building, and have the necessary skills and experience, we encourage you to apply for this exciting opportunity.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Role & responsibilities Mandatory skills: Python, Gen AI, traditional ML, core Data scientist Position Overview We are seeking an experienced Senior Full Stack AI/ML Engineer to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications. Key Responsibilities AI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques Research and prototype cutting-edge generative AI solutions Traditional ML & Statistics: Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods Perform feature engineering, selection, and dimensionality reduction techniques Conduct statistical inference, confidence intervals, and significance testing Design and analyze controlled experiments and observational studies Apply Bayesian methods and probabilistic modeling approaches Full Stack Development: Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular) Build robust backend services and APIs using Python, Node.js, or similar technologies Design and implement database solutions (SQL/NoSQL) optimized for ML workloads Create intuitive user interfaces for AI-powered applications and statistical dashboards MLOps & Infrastructure: Establish and maintain ML pipelines for model training, validation, and deployment Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar Monitor model performance, drift detection, and automated retraining systems Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure) Containerize applications using Docker and orchestrate with Kubernetes Collaboration & Leadership: Work closely with data scientists, product managers, and engineering teams Mentor junior engineers and contribute to technical decision-making Participate in code reviews and maintain high development standards Stay current with latest AI/ML trends and technologies Required Qualifications Experience & Education: 7-8 years of professional software development experience Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field 6+ years of hands-on AI/ML experience in production environments Technical Skills: Programming: Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus Traditional ML: Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods Statistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference Statistical Tools: Experience with R, SAS, SPSS, or similar statistical software packages Deep Learning: TensorFlow, PyTorch, neural networks, computer vision, NLP LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering Full Stack: React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs Databases: PostgreSQL, MongoDB, Redis, vector databases MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools Cloud Platforms: AWS/GCP/Azure, serverless architectures Soft Skills: Strong problem-solving and analytical thinking Excellent communication and collaboration abilities Self-motivated with ability to work in fast-paced environments Experience with agile development methodologies Preferred Qualifications Experience with causal inference methods and econometric techniques Knowledge of distributed computing frameworks (Spark, Dask) Experience with edge AI and model optimization techniques Publications in AI/ML/Statistics conferences or journals Open source contributions to ML/statistical projects Experience with advanced statistical modeling and multivariate analysis Familiarity with operations research and optimization techniques

As an AI/ML Engineer at SolGuruz, you will play a crucial role in harnessing the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform software with advanced AI/ML capabilities. Your efforts will directly impact the user experience, pushing the boundaries and setting new benchmarks in AI-driven products. Your responsibilities will involve designing and implementing cutting-edge AI/ML models and solutions. You will delve deep into generative AI models and techniques, spanning Text-to-Speech, Speech to Text, Speech to Speech, Text to Image, and Image to Text. Evaluating AI models across diverse applications like content creation, design automation, Cloud Vision AI, and Natural Language AI will be part of your core tasks. Writing and maintaining high-quality Python code that is not only efficient and scalable but also well-documented will be essential. Collaboration with fellow engineers, researchers, and product managers to define requirements, brainstorm solutions, and refine designs will be a key aspect of your role. Additionally, contributing to the development of internal tools and infrastructure for AI/ML research and development will be expected. To excel in this role, you should stay updated on the latest advancements in AI/ML research and development. Having an understanding of AI Chatbots, document search, MLOps, supervised learning, unsupervised learning, Video analytics, Image analytics, NLP, exploratory data analysis, descriptive analytics, prescriptive analytics, and predictive analytics is crucial. What We Are Looking For: - Proficiency in Large Language Models such as Open AI, Stable Diffusion, and Generative AI models/services offered by AWS, Azure, and Google. - Hands-on experience with popular machine learning libraries like TensorFlow, PyTorch, etc. - Practical knowledge of AI/ML development using Python and advanced scripting in Python. - Expertise in databases, especially vector databases, along with strong experience in one of the cloud platforms. - Experience in implementing MLOps practices for machine learning models using Azure ML/AWS Sagemaker. Why SolGuruz - Embrace a culture that fosters innovation and forward-thinking. - Opportunities for professional growth and career advancement. - No bond, no contract. - Work 5 days a week with flexible timings to support work-life balance. - No bossism culture - thrive through collaboration. - Benefit from a high-config laptop to boost productivity. - Engage in various activities to enhance team spirit. Skills: text-to-speech, image to text, TensorFlow, AI/ML, PyTorch, vector databases, Large Language Models, Python, Azure, AWS, speech to text, cloud platforms, MLOps, NLP, text to image, speech to speech, generative AI.,

You should have a Bachelor's Degree in a technical or quantitative field from an accredited college or university. A Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. You must have at least 10 years of relevant experience in Machine Learning and Statistics. A strong mathematical background is required, with the ability to understand algorithms and methods both mathematically and intuitively. Your primary responsibilities will include translating business objectives into analytic approaches, identifying data sources to support analysis, and analyzing structured and unstructured data using advanced statistical methods, deep learning, and Generative AI. You will need to perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data, and identify patterns. Proficiency in Python and SQL is essential, along with experience in working with open-source packages and commercial/enterprise applications. You should be comfortable with machine learning and statistical methods such as regression, classification, clustering, ensemble and tree-based models, and time-series analysis. Prior experience or understanding in ML Ops in any cloud platform is required. You should have a strong background in Generative AI, particularly with tools like ChatGPT and CoPilot, and hands-on experience in using APIs to integrate with CoPilot and fabric. Exposure to the Microsoft Tech Stack ecosystem is necessary, along with familiarity with Azure Document Intelligence and Azure Machine Learning for model training and deployment. Additionally, you should be familiar with at least one of the following: Azure AI Language, Azure AI Vision. As part of your role, you will need to communicate results and educate others through reports and presentations. Familiarity with DevOps, code version control, and software development coding best practices is essential. Candidates must hold at least two of the following certifications from Azure: DP-203, MB260, DP-900, AI-102, AI-900.,

As a Business Transformation Associate Manager at Accenture, you will play a crucial role in developing a transformation vision, assessing its feasibility and capability gaps, and planning journey management. Your responsibilities will include translating economic trends into industry competitive advantages, leading the transformation of businesses to enable profitable and sustainable growth. You will be expected to have expertise in digital transformation, digital strategy and transformation, program and project management, Six Sigma, generative AI, stakeholder management, design thinking, negotiation skills, and demonstrate thought leadership. With a requirement of 12 to 16 years of experience and qualifications such as MCom, Master of Business Administration, or CA Inter, you will need to possess strong English language skills at an expert level. The ability to manage multiple stakeholders, establish strong client relationships, prioritize workloads, and demonstrate a results-oriented approach will be essential in this role. Your role will involve analyzing and solving moderately complex problems, creating new solutions, understanding strategic directions set by senior management, and interacting with peers, management levels, and clients. In this position, you may be required to work in rotational shifts. If you are looking to make a significant impact by driving business transformation and growth, Accenture offers a dynamic and challenging environment where your skills and expertise will be valued.,

As a Senior Data Analyst at our company based in Hyderabad, IN, with over 7 years of experience, you will play a crucial role in leveraging your expertise in SQL, data architecture, and the Google Cloud platform (GCP) ecosystem. Your primary responsibility will be to transform complex business queries into actionable insights, shaping strategic decisions, and contributing to the future direction of our Product/Operations team. It is essential to have a combination of technical proficiency, analytical rigor, and exceptional communication skills to collaborate effectively with engineering, product, and business stakeholders. Your key responsibilities will include advanced data analysis using SQL to query, analyze, and manipulate large datasets, creating and maintaining scalable dashboards and reports, managing source code effectively using platforms like GitHub, partnering with product managers to address critical business questions, collaborating with data engineers on data architecture and pipelines, translating complex data findings into compelling narratives for various audiences, leading analytical projects from inception to delivery, and mentoring junior analysts to foster a data-driven problem-solving culture. The ideal candidate should hold a Bachelor's degree in a quantitative field such as Computer Science or Statistics, possess a minimum of 5 years of experience in data analysis or business intelligence, demonstrate expert-level proficiency in SQL, have a solid understanding of data architecture and data modeling principles, excel in communication and stakeholder influencing, be familiar with business intelligence tools like Tableau or Looker, have experience with Google data tools like BigQuery, and exhibit a strong sense of curiosity and passion for data insights. In this role, you will lead a team of data scientists and analysts, oversee the development of data models and algorithms for new product initiatives, provide strategic direction for data science projects aligned with business objectives, collaborate with cross-functional teams to integrate data science solutions, analyze complex datasets for trends and patterns, utilize generative AI techniques, ensure adherence to ITIL V4 practices, mentor team members, monitor project progress, drive continuous improvement in data science methodologies, and foster a culture of innovation and collaboration within the team. To qualify for this role, you should have a solid background in business analysis and data analysis, expertise in generative AI, understanding of ITIL V4 practices, excellent communication and collaboration skills, proficiency in team management, and a commitment to working from the office during day shifts.,