5480 Deep Learning Jobs - Page 4

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilities. Additionally, you will champion model performance, interpretability, and reproducibility across varied domains. Your contribution to reusable AI/ML tooling, pipelines, and best practices will play a significant role in improving development velocity. **Key Responsibilities:** - Lead and mentor a team of scientists and engineers - Own the full ML lifecycle - Architect and implement models for various AI use-cases - Collaborate cross-functionally with product, engineering, and MLOps teams - Leverage LLMs and Retrieval-Augmented Generation - Champion model performance, interpretability, and reproducibility - Contribute to reusable AI/ML tooling and best practices **Qualifications Required:** - Masters or PhD in Computer Science, Machine Learning, Statistics, or related field - 5+ years of hands-on experience developing and deploying ML models at scale - 2+ years of experience managing or mentoring data scientists or ML engineers - Proficiency in Python and familiarity with languages like Java - Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering - Experience with model deployment tools and cloud ML platforms - Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders At CDK, inclusion and diversity are fundamental values that inspire meaningful connections to people, customers, and communities. The company fosters an open, curious environment that encourages different views, allowing everyone to be their best selves and make a positive impact.,

As a Full Stack Developer AI/ML at our company located in Jodhpur, you will have the exciting opportunity to work on cutting-edge AI-powered applications, develop and deploy ML models, and integrate them into full-stack web solutions. Here's what you can expect in this role: Key Responsibilities: - Design, develop, and deploy AI/ML models for real-world applications. - Work with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks. - Develop RESTful APIs to integrate AI models with web applications. - Implement and maintain backend services using Node.js, FastAPI, or Flask. - Build and enhance frontend UIs using React.js, Vue.js, or Angular. - Manage databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. - Optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Work on data preprocessing, feature engineering, and model evaluation. - Deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). - Collaborate with cross-functional teams for AI integration into business applications. Required Skills & Qualifications: - 0-1 year of experience in AI/ML and full-stack development. - Strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy. - Experience with backend development (Node.js, FastAPI, Flask, or Django). - Knowledge of frontend frameworks (React.js, Vue.js, or Angular). - Familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase). - Understanding of machine learning workflows, model training, and deployment. - Experience with cloud services (AWS SageMaker, Google AI, Azure ML). - Knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models. - Basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning. - Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, D3.js). - Strong problem-solving and analytical skills. - Good communication and teamwork skills. Preferred Qualifications: - Experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face). - Knowledge of MLOps, model monitoring, and retraining pipelines. - Understanding of Reinforcement Learning (RL) and Generative AI. - Familiarity with Edge AI and IoT integrations. - Previous internship or project experience in AI/ML applications. In this role, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

Role Overview: As a hands-on technical leader at Berryworks, you will be responsible for designing and developing world-class web and mobile applications. You will lead a globally distributed engineering team, mentor team members, and contribute significantly to product development. Your strong customer-focused mindset will drive you to own product features from ideation to deployment, while also leading design discussions on application architecture and integrations. Additionally, you will have the opportunity to explore and create ML and NLP algorithms, influence product design, and practice time management and prioritization skills in a dynamic environment. Key Responsibilities: - Leverage 8+ years of hands-on experience to design and develop enterprise-ready web and mobile applications - Own product features from ideation to deployment in a client production environment - Lead design discussions on application architecture, UI components, back-end, and third-party integration - Mentor a globally distributed engineering team to commit to excellence - Explore and create ML and NLP algorithms - Learn new technologies with agility to build prototypes - Influence product design and features - Practice time management and prioritization skills in a dynamic environment Qualifications: - Experience in leading engineering teams - Proficiency in front-end languages such as HTML, CSS, and JavaScript - Significant experience in Angular - Fluency in Python, Ruby, NodeJS, or Go (Python used at Berryworks) - Expertise in DynamoDB or other NoSQL Databases - Experience with AWS platform for development - Knowledge of NLP-based conversational-AI solutions implementation - Working experience in data & analytics field, including Machine Learning/Deep Learning, AI, and big data - Comfort with Agile development methodology - Ability to run technical checks and audits for compliance - Prior app development experience on Slack or Microsoft Teams is a plus - Excellent verbal and written communication skills for collaboration across teams (Note: Additional details about Berryworks being a fast-growing SaaS company with a focus on a fast-paced environment and hands-on leadership are omitted as they are not directly related to the job description.),

As a Data Scientist Intern at our company, you will have the opportunity to contribute to our data science team and work on analyzing large datasets, developing predictive models, and extracting actionable insights that align with our business objectives. **Key Responsibilities:** - Develop applications using ML/DL algorithms and pattern recognition. - Build sustainable models for data analysis. - Enhance data collection procedures to include relevant information for building analytic systems. - Process, cleanse, and verify the integrity of data used for analysis. **Qualifications Required:** - B-tech/M-tech/Ms in Computer Engineering from a reputed university. - A degree or diploma in Data Science/Analytics from a prestigious institute. - Proficiency in languages like Python and analysis libraries (e.g., Pandas, NumPy, scikit-learn). - Excellent understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. - Strong communication skills and the ability to learn quickly.,

Role Overview: As an AI Engineer, your main responsibility will be to design, develop, and deploy AI and ML models for real-world applications. You will optimize algorithms for performance and scalability, integrate AI solutions into existing systems, and work on NLP, Computer Vision, and Predictive Analytics projects. It is essential to stay updated with the latest AI frameworks, tools, and research trends. Key Responsibilities: - Design, develop, and deploy AI and ML models for real-world applications. - Optimize algorithms for performance and scalability. - Integrate AI solutions into existing systems and workflows. - Work on NLP, Computer Vision, and Predictive Analytics projects. - Stay updated with the latest AI frameworks, tools, and research trends. Qualifications Required: - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Strong understanding of machine learning, deep learning, and data science concepts. - Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus. - Excellent problem-solving and analytical skills. Additional Details: The company offers benefits such as flexible schedule, paid sick time, paid time off, Provident Fund, and work from home option. (Note: The above job description is for an AI Engineer position with 4+ years of experience or freshers with exceptional skills.),

As a Manager - AI/GenAI at EY, you will have the opportunity to work in a multi-disciplinary technology team focusing on Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI across various industry sectors. Your role will involve developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python Programming. **Key Responsibilities:** - Develop, review, and implement solutions utilizing AI, Machine Learning, Deep Learning, and Python APIs. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs) such as GPT-3.5, GPT 4, Llama, BERT, etc. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand business sectors to identify opportunities for analytics applications. - Manage projects, ensure smooth service delivery, and communicate with cross-functional teams. - Provide expert reviews for projects and participate in Stakeholder Management. **Skills And Attributes For Success:** - Ability to work creatively and systematically in a problem-solving environment. - High ethical standards, flexibility, curiosity, and creativity. - Good interpersonal skills, team player, and ability to manage multiple priorities. - Intercultural intelligence and experience in working with multi-cultural teams. - Strong technical and problem-solving skills with excellent communication abilities. **Qualifications Required:** - 9 - 14 years of relevant work experience in AI and Machine Learning with deployment experience in Azure. - Experience in statistical techniques, deep learning, NLG, LLM, DL Techniques, and Python programming. - Proficiency in using open source and proprietary LLM models and Generative AI workflow management tools. - Familiarity with SDLC, product development principles, and mentoring team members. **Additional Details:** EY Global Delivery Services (GDS) offers a dynamic and global delivery network with career opportunities across various disciplines. You will collaborate with EY teams globally and work on exciting projects with well-known brands. Continuous learning, transformative leadership, and a diverse and inclusive culture are key aspects of working at EY. Join EY to be part of a market-leading team, contribute to building a better working world, and create long-term value for clients, people, and society.,

As a Senior Consultant at Kroll, you will be a part of the Decision Intelligence Services team, contributing to seamless analytical advisory services throughout the deal continuum. Your expertise in Artificial Intelligence, Machine Learning, Deep Learning, and LLM models for Generative AI, text analytics, and Python Programming will play a crucial role in scaling the Data, Analytics, and AI team. You will be responsible for offering industry/sector solutions and building automation tools to accelerate due diligence, data-driven insights, and optimization models. **Key Responsibilities:** - Build, review, and implement solutions using AI/GenAI, ML, and deep learning techniques, and develop APIs with Python - Handle large data volumes using the latest techniques and data tools - Work with advanced GenAI models like GPT 4, GPT 4o, Llama, and AI architecture leveraging vector DBs / RAG based approaches - Engage in buy/sell-side due diligence engagements, identifying value creation opportunities for analytics application - Deliver and manage mid to large size deals, ensuring smooth delivery on assigned engagements - Communicate effectively with cross-functional teams, coordinating between core functional and technology teams - Manage stakeholder relationships and lead mid-market deals from an analytics perspective - Prepare demo tools to be shared directly with clients - Engage directly with clients for delivery - Interpret data sets using statistical tools to identify trends and patterns - Uphold the firm's code of ethics and business conduct **Qualifications Required:** - Minimum 5-9 years of related work experience in developing and implementing AI/GenAI, ML models across industries - 2 years of experience with natural language generation/processing, LLM techniques, and familiarity with AI/ML frameworks - 4 years of experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services - Strong experience in statistical techniques, forecasting models, and Merger & Acquisition domain areas - Bachelor's degree in Engineering from a tier 1 college (Masters in Business/domain preferred) - Proficiency in programming languages like Python, analytics and data platforms like Azure, and business intelligence tools like PowerBI - Superior analytical, problem-solving, written, and verbal communication skills - Dedication to teamwork and flexibility to adapt to changing client demands - Desire to grow into a techno-functional consultant role Kroll, a global leader in risk and financial advisory solutions, offers a collaborative and empowering environment where you can propel your career to new heights. Join One Team, One Kroll, and contribute to building, protecting, restoring, and maximizing client value. Kroll is committed to equal opportunity and diversity, recruiting based on merit. Apply now via careers.kroll.com to be considered for this exciting opportunity.,

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

Job Title : Sr. Data Scientist Location : Mumbai / Pune Job Type : Full-time Experience : 4-7 years About the Role : We are seeking a Sr. Data Scientist with experience in Computer Vision to join our team. You will be responsible for building and maintaining models including but not limited to Vision Transformer neural networks. This role involves collaborating with data engineers and backend developers to deliver quality AI solutions. Responsibilities : Design and implement end-to-end machine learning workflows for image and computer vision applications, from data collection to model deployment. Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to define and prioritize machine learning initiatives. Document technical designs and model specifications, ensuring clarity and accessibility for stakeholders and team members. Ensure adherence to best practices in model development, deployment, and monitoring, in alignment with the overall AI strategy. Monitor model performance and implement strategies for continuous improvement and retraining as needed. Develop scalable and efficient deep learning models using PyTorch, optimizing for performance and resource utilization. Qualifications : Bachelors degree in Computer Science or a related field. 4-7 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision tasks. Proficient in using PyTorch for developing deep learning models, with a strong understanding of CNNs, transfer learning, vision transformers, and data augmentation techniques. Solid understanding of computer vision concepts, including image classification, object detection, and image segmentation. Strong programming skills in Python, with experience in data manipulation libraries such as NumPy and Pandas. Experience with version control systems like Git. Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset. Preferred Qualifications : Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML services, particularly those related to model deployment and GPU training. Understanding of MLOps principles and practices, including model monitoring, versioning, and governance. Knowledge of GPU computing and tools for managing GPU resources (e.g., CUDA, cuDNN).

We are looking for AIML - Lead / Associate Architect / Architects to Join us as early as possible Experience - 8+ years Location - Bangalore (Hybrid) Notice Period - 0 to 45 days Interview Process - 3 to 4 level interviews (One level will be In Person interview at Aziro Chennai / Bangalore / Noida / Pune Office) Job Description: We are looking for a highly skilled Python Developer with hands-on experience in Generative AI platforms (such as Agentforce, N8, Microsoft Copilot Studio, or equivalent) and proficiency in GitHub workflows. The role involves building, integrating, and deploying intelligent applications that leverage modern AI frameworks and automation capabilities. Key Responsibilities Design, develop, and optimize applications using Python. Build and integrate solutions using Generative AI platforms (Agentforce, N8, MS Copilot Studio, or similar). Develop AI-powered agents, copilots, and workflow automation tools for business use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. Manage source code, versioning, and collaboration using GitHub (repos, actions, CI/CD). Conduct code reviews, testing, and debugging to ensure performance and reliability. Stay up to date with the latest advancements in AI/ML, automation, and software engineering practices. Required Skills & Qualifications Strong programming expertise in Python (APIs, data structures, automation scripts, frameworks). Experience with Generative AI platforms (Agentforce, N8, Microsoft Copilot Studio, or other LLM-based platforms). Understanding of AI/ML concepts, prompt engineering, and conversational AI. Proficiency in GitHub for version control, collaboration, and CI/CD workflows. Experience with REST APIs, JSON, and cloud integrations (Azure, AWS, or GCP preferred). Problem-solving mindset with ability to work in agile environments. Nice-to-Have Skills Exposure to LangChain, LlamaIndex, or RAG-based architectures. Knowledge of DevOps tools (Docker, Kubernetes, Terraform). Familiarity with data processing libraries (Pandas, NumPy) and visualization tools. Contributions to open-source projects on GitHub.

We are looking for Python + AIML Candidates to join us as soon as possible !! Key Skills : Python (Development / Programming Experience Must) + AIML (GenAI / Langchain / RAG / Semantic Search / LLM / NLP) Experience - 5 to 10 yrs Notice Period - Immediate to 45 Days Job Location - Bangalore (Hybrid) Interview Process : 3 to 4 level interviews (which will include one level In person interview from Chennai / Pune / Bangalore / Noida location) Job Description: We are looking for a highly skilled Python Developer with hands-on experience in Generative AI platforms (such as Agentforce, N8, Microsoft Copilot Studio, or equivalent) and proficiency in GitHub workflows. The role involves building, integrating, and deploying intelligent applications that leverage modern AI frameworks and automation capabilities. Key Responsibilities Design, develop, and optimize applications using Python. Build and integrate solutions using Generative AI platforms (Agentforce, N8, MS Copilot Studio, or similar). Develop AI-powered agents, copilots, and workflow automation tools for business use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. Manage source code, versioning, and collaboration using GitHub (repos, actions, CI/CD). Conduct code reviews, testing, and debugging to ensure performance and reliability. Stay up to date with the latest advancements in AI/ML, automation, and software engineering practices. Required Skills & Qualifications Strong programming expertise in Python (APIs, data structures, automation scripts, frameworks). Experience with Generative AI platforms (Agentforce, N8, Microsoft Copilot Studio, or other LLM-based platforms). Understanding of AI/ML concepts, prompt engineering, and conversational AI. Proficiency in GitHub for version control, collaboration, and CI/CD workflows. Experience with REST APIs, JSON, and cloud integrations (Azure, AWS, or GCP preferred). Problem-solving mindset with ability to work in agile environments. Nice-to-Have Skills Exposure to LangChain, LlamaIndex, or RAG-based architectures. Knowledge of DevOps tools (Docker, Kubernetes, Terraform). Familiarity with data processing libraries (Pandas, NumPy) and visualization tools. Contributions to open-source projects on GitHub.

Key Res: Deliver engaging training sessions on AI, data science, chatbots, conversational AI, NLP, deep learning. involves developing and delivering training programs Collaborate with education teams to integrate AI/data science into curriculum.

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

We seek trainers/teacher in Data Engineering/Science, Cloud Computing &DevOps(JaipurPreferred) . Role starts part-time, can be done with your current job. Industrial experience preferred; no prior teaching experience required. High earning potentia l.

Role Overview: You will be joining as a Mid Data Science & AIML, GenAI Lead/Engineer at NTT DATA in Bangalore, Karntaka (IN-KA), India (IN). Your primary responsibility will be to develop and implement traditional machine learning algorithms, deploy models in a production environment, and write and maintain Python code for data science and machine learning projects. Key Responsibilities: - Develop and implement traditional machine learning algorithms. - Deploy at least one model in a production environment. - Write and maintain Python code for data science and machine learning projects. Qualification Required: - Knowledge of Deep Learning (DL) techniques. - Experience working with Generative AI (GenAI) and Large Language Models (LLM). - Exposure to Langchain. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. They are dedicated to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries and a robust partner ecosystem, their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is known for being one of the leading providers of digital and AI infrastructure globally. As a part of NTT Group, they invest over $3.6 billion annually in R&D to support organizations and society in confidently transitioning into the digital future. Visit their website at us.nttdata.com.,

As a Vice President - Data Scientist at Citi, you will be part of the Citi Analytics & Information Management (AIM) team, a global community that connects and analyzes information to create actionable intelligence for business leaders. Your role will involve focusing on the development and deployment of advanced Machine Learning and Deep Learning models within the financial services industry. **Responsibilities:** - Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis - Assess risk when making business decisions to safeguard Citigroup and its assets **Qualifications:** - 15+ years of experience in Analytics/Data Scientist in the financial services industry - Experience with natural language processing (NLP) and natural language generation (NLG) - Working experience in a quantitative field, specifically in the Financial/Credit Card industry - Proven track record of designing, developing, and deploying complex machine learning and deep learning models - Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras - Solid understanding of machine learning algorithms, data structures, and software engineering principles - Excellent communication and interpersonal skills **Education:** - Masters/Bachelors/PhD degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field; Engineering/MBA background from a premier institute At Citi, you will have access to programs and services for your physical and mental well-being, opportunities for learning and development, and a variety of programs to help you balance work and life. Working at Citi means joining a global family of dedicated individuals and having the chance to grow your career, give back to your community, and make a real impact. 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, you can review Accessibility at Citi. Take the next step in your career and apply for this role at Citi today.,

Role Overview: As a Data Scientist in our team, you will play a crucial role in handling analytics and data science projects. Your expertise will be utilized to deliver high-quality solutions and models to meet the business requirements effectively. Key Responsibilities: - Translate business requirements into actionable analytical plans and ensure alignment with strategic objectives. - Identify appropriate data sources and handle data discrepancies including ETL tasks, missing values, and outliers. - Deliver projects and POC initiatives from inception to completion. - Develop and refine technical and analytics architecture, implement scalable frameworks, and data pipelines. - Coordinate with cross-functional teams, deliver production-ready models and solutions, and monitor success metrics for high-quality output. Qualifications Required: - Bachelors degree in computer science or related field OR masters degree in statistics, economics, business economics, econometrics, or operations research. - 5-10 years of experience in the Analytics/Data Science domain. - Experience with Generative AI techniques and tools. - Familiarity with ETL methods, data imputation, data cleaning, outlier handling, AWS cloud platform, AI/ML services, and databases including SQL. - Expertise in Deep learning, Segmentation, Classification, Ensemble techniques, and proficiency in programming languages like Python. Additional Company Details: Unfortunately, there are no additional details about the company provided in the job description.,

As a Senior Gen AI Engineer, your role involves collecting and preparing data for training and evaluating multimodal foundation models. This includes cleaning and processing text data or creating synthetic data. You will be developing and optimizing large-scale language models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Tasks will also include working on language modeling, text generation, understanding, and contextual comprehension. It is essential to regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Additionally, you will be responsible for building and deploying AI applications on cloud platforms such as Azure, GCP, or AWS. Integration of AI models with the company's data to enhance and augment existing applications is also part of your responsibilities. Key Responsibilities: - Handle data preprocessing, augmentation, and generation of synthetic data. - Design and develop backend services using Python to support OpenAI-powered solutions (or any other LLM solution). - Develop and maintain AI pipelines. - Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. - Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions. - Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. - Ensure the robustness, efficiency, and scalability of AI systems. - Stay updated with the latest advancements in AI and machine learning technologies. Qualifications Required: - Strong foundation in machine learning, deep learning, and computer science. - Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). - Experience with natural language processing (NLP) and computer vision is a plus. - Ability to work independently and as part of a team. - Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. - Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. - Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. - Experience in developing and deploying AI models in production environments. - Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing, and scaling AI solutions. - Should be able to bring new ideas and innovative solutions to clients.,

Digitap AI looking for SDS in NLP & ML, you’ll design, develop, & optimize AI solutions, focusing on NLP and LLMs. You’ll handle diverse use cases, build ML models for credit scoring and risk, and drive innovation in large-scale transformer research. Required Candidate profile ML, NLP, LARGE LANGUAGE MODELS, PYTHON, PYTORCH, TENSORFLOW, HUGGING FACE TRANSFORMERS, KERAS, NLTK, SPACY, SCIKIT-LEARN, PANDAS, OPENAI API, SQL, NOSQL, API INTEGRATION, RESTFUL APIS, PROBLEM-SOLVING

As a Technical Content team member at Itvedant, your role will involve researching, writing, and editing technical content across various platforms such as websites, blogs, and user manuals. You will also be responsible for creating clear marketing copy to promote our products and services. Collaboration with technical teams to simplify complex concepts, ensuring accuracy and consistency in all technical content, and optimizing content for search engines using SEO best practices will be key areas of focus. Additionally, you will review and edit existing technical content, assist in developing content strategies, and implement them effectively. Key Responsibilities: - Research, write, and edit technical content for websites, blogs, and user manuals. - Create clear marketing copy to promote products/services. - Collaborate with technical teams to simplify complex concepts. - Ensure accuracy, consistency, and alignment with brand messaging in technical content. - Optimize technical content for search engines using SEO best practices. - Review and edit existing technical content for accuracy and clarity. - Assist in developing and implementing content strategies. Qualifications Required: - Currently pursuing or recently completed a Bachelor's degree in Technical Writing, Computer Science, Engineering, or related field. - Strong written and verbal communication skills. - Excellent attention to detail and ability to adhere to brand guidelines. - Familiarity with SEO best practices. - Ability to work independently and as part of a team. - Strong organizational and time management skills. - Proficiency in Microsoft Office Suite and Google Suite. About Itvedant: Itvedant is a company dedicated to bridging the gap between education and the skills required for the job market. With a strong passion for teaching, we strive to empower our students for a successful future. Joining our team means becoming a part of a dynamic and passionate group from the software industry, committed to guiding students towards a bright career path. Skills Required: - Data Analyst (Advance Excel, Tableau, Power BI) - Python (Django) - Java (Spring Boot) - Data Science (Machine learning, Deep learning, NLP, Computer Vision),

As a Software Engineer at Visa's VAS Innovation team, you will play a crucial role in developing cutting-edge solutions to enhance the capabilities of Value-Added Services (VAS) platform. Your responsibilities will include: - Engaging in the design, development, and implementation of innovative software solutions, such as generative AI and modern integration patterns. - Collaborating with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. - Engaging in continuous learning and development to enhance your skills and knowledge. - Developing client-focused solutions with a mindset to deliver exceptional value and innovation. - Contributing to the design and development of APIs that enhance the integration of VAS applications, platforms, and solutions. - Participating in the advancement of the technology modernization roadmap by adopting best-in-class technology solutions. - Continuously assessing and improving technology stacks, development processes, and methodologies to enhance productivity and quality. - Adhering to industry best practices in software development and emphasizing quality, security, performance, scalability, and resilience. - Implementing best engineering practices and automating software development, testing, and deployment processes to focus on continuous improvement. - Supporting incident management, change, and problem management processes to ensure high availability and reliability of services. Qualifications: Basic Qualifications: - 3 or more years of relevant work experience with a bachelor's degree or 2 years with an Advanced Degree (Masters/PhD in Engineering/Computer Science). - Self-driven and willing to work across technologies/languages. - Expert-level skills in Java and Python with skills in C++ and C# being a bonus. - In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models. - Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Ability to work with large datasets and perform exploratory data analysis. - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Expertise in handling multi-threading, concurrency, and error-handling. - Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects. - Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment. Preferred Qualifications: - Understanding of enterprise security, certificate management, etc. - Hands-on experience with Jenkins and container deployment architecture. - Experience using OAuth2.0, SSO, and authentication methods/protocols. - Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.,

Location - Chennai NP - Immediate Exp - 3 years to 8 Years Mandatory Skills - AI, ML, Python, Data Scientist Walk in Drive 18th Sep 2025 at Chennai(In Personal only) Shift Timing: 11 AM – 8 PM (Monday to Friday) Contact - 7976457434

JD Description: AI/ML Developer (3-5 Years Experience) Agentic AI Assets Role Overview : We are seeking a highly skilled developer with 3-5 years of deep, hands-on experience in Artificial Intelligence and Machine Learning to design and build advanced assets for our Agentic AI solutions. The ideal candidate will demonstrate exceptional knowledge in AI/ML algorithms and frameworks, a serious track record in deploying models at scale, and strong expertise working with Large Language Models (LLMs). Key Responsibilities Design, implement, and optimize complex AI/ML assets and models for agentic AI solutions. Lead research and prototyping efforts in ML and AI algorithm development, with a focus on advancing the core intelligence of agentic AI systems. Develop, fine-tune, and experiment with Gen AI LLMs, working with state-of-the-art architectures and leveraging the latest research in natural language processing and generative AI. Apply advanced techniques such as transfer learning, reinforcement learning, and retrieval-augmented generation (RAG). Collaborate closely with product, engineering, and research teams to benchmark performance, drive technical innovation, and set the direction for AI/ML initiatives. Understand requirements on domain specific use cases and implement AI/ML solutions Required Skills & Qualifications 3-5 years strong professional experience as an AI/ML engineer, data scientist, or research scientist. Strong knowledge on Agent to Agent communication and development of Agentic AI frameworks Experience with vector search/vector databases, knowledge graphs, and data pipelines for RAG-based systems. Expert-level Python programming skills and fluency in libraries and toolkits such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, etc. In-depth knowledge of classical and advanced machine learning algorithms, deep learning, neural network architectures, and their real-world applications. Demonstrable experience building and fine-tuning LLMs (such as GPT, Llama, Mistral, etc.) and integrating them into robust solutions. Strong background in state-of-the-art ML methodologies: prompt engineering, embeddings, transformers, self-supervised and unsupervised learning, RLHF, etc. Experience with production-level deployment of AI/ML models, cloud-based ML infrastructure (AWS/GCP/Azure/IBM Cloud), containerization (Docker), and scalable MLOps practices. Developing Solutions Aligned with AI Governance and Ethical AI Standards Good to Have Familiarity with agentic AI frameworks or multi-agent systems. Publications, patents, or open-source contributions in AI/ML. Strong analytical and communication skills. UIUX Knowledge and framework RDBMS and NoSQL database knowledge Knowledge on AIML model finetune Knowledge on MCP

Core Technical Skills Programming: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), R Databases & Querying: SQL, NoSQL (MongoDB) Machine Learning: Regression, Classification, Clustering, Ensemble Methods, Feature Engineering, Model Evaluation Deep Learning: TensorFlow, Keras, PyTorch (for trainers in advanced AI topics) Data Visualization & BI Tools: Power BI, Tableau, Excel (advanced functions, dashboards) Big Data Tools (optional for advanced training): Spark, Hadoop Cloud Platforms: AWS, Azure, GCP (basic ML and data handling services) MLOps (optional advanced): Git/GitHub, Docker, MLflow 2. Statistics & Mathematics Descriptive & Inferential Statistics Probability & Distributions Hypothesis Testing & A/B Testing Linear Algebra & Calculus (for ML/DL concepts) Time Series Analysis 3. Teaching & Training Skills Curriculum Design & Content Development Creating structured learning paths, modules, and hands-on labs Instructional Delivery – Classroom, virtual, and corporate training methods Simplifying Complex Concepts – Explaining technical topics in beginner-friendly ways Assessment & Feedback – Designing quizzes, assignments, projects, and providing constructive feedback Men

Okta is seeking a highly skilled Full-Stack Engineer with deep expertise in AWS Bedrock, generative AI, and modern software development to join our fast-moving team at the intersection of developer experience, machine learning, and enterprise software. As part of the Okta Business Technology (BT) team, you will build cutting-edge tools that make AI development intuitive, collaborative, and scalable. If you're passionate about building next-generation AI applications and empowering developers through innovative platforms, this is the role for youJob Duties and Responsibilities Design and develop full-stack applications that integrate seamlessly with Amazon Bedrock AI agents. Build scalable, production-grade AI/ML solutions using AWS Bedrock and the AWS Agent Development Kit. Implement back-end services and APIs to interact with foundation models for tasks such as automated sourcing, content generation, and prompt orchestration. Create intuitive and performant front-end interfaces using Angular that connect with GenAI capabilities. Ensure seamless integration of LLMs and foundation models into the broader application architecture. Explore and rapidly prototype with the latest LLMs and GenAI tools to iterate on new capabilities and features. Build sophisticated AI workflows using knowledge bases, guardrails, and prompt chaining/flows. Deploy and maintain enterprise-ready GenAI applications at scale. Collaborate with business analysts to understand customer needs and use cases, and work with the team to design, develop POCs to test, implement & support solutions Foster strong relationships with teammates, customers, and vendors to facilitate effective communication and collaboration throughout the project lifecycle Perform in-depth analysis of requirements, ensuring compatibility and adherence to established standards and best practicesRequired Skills: 7+ years of robust experience with hands-on development & design experience 3+ years of experience in one or more of the following areasDeep Learning, LLMs, NLP, Speech, Conversational AI, AI Infrastructure, Fine-tuning, and optimizations of PyTorch models. Software development experience in languages like Python (must have) and one from the optional (Go, Rust, and C/C++). Experience with at least one LLM such as Llama, GPT, Claude, Falcon, Gemini, etc. Expertise in AWS Bedrock and the AWS Agent Development Kit is mandatory Hands-on experience with Python libraries including boto3, NumPy, Pandas, TensorFlow or PyTorch, and Hugging Face Transformers Solid understanding of the AWS ecosystem (e.g., CloudWatch, Step Functions, Kinesis, Lambda) Familiarity with full software development lifecycle, including version control, CI/CD, code reviews, automated testing, and production monitoring Knowledge about the ERP, HR technology and Legal business processes is an advantageEducation and Certifications Bachelors degree in Computer Science or a related field, or equivalent practical experience AWS certifications (e.g., AWS Certified Solutions Architect, Machine Learning Specialty) are a plus Experience working with large-scale generative AI or LLM-based applications Knowledge of secure application development and data privacy practices in AI/ML workloads"This role requires in-person onboarding and travel to our Bengaluru, IN office during the first week of employment."