5222 Artificial Intelligence Jobs - Page 22

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

Works Manager(40-50 yrs)for LT Power Cables &Wires plant.Should have min 3-4 yrs exp, computer savvy,proficient in manufacturing software & modern IT tools (AI, MES,QC systems).Manage all aspects of production,maintenance,QC,security,HRD& budgeting. Required Candidate profile Age- 40-50 yrs Only those having min.3-4 yrs.of exp.as Works Manager of Cables & Wires manufacturing plant need apply. Computer savvy, proficient in relevant manufacturing software..

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

Desired Candidate Profile Fresh graduate or 1st year postgraduate degree holder (B.Tech/B.E. in Computers). Strong understanding of computer science concepts, including artificial intelligence, machine learning, and data structures. Ability to work independently on tasks assigned by senior engineers.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines

Urgent Hiring! Exciting Opportunity for Fresh Postgraduates! Are you a Masters graduate in Physics ? Looking to kick-start your career in a fast-growing AI-driven EdTech startup? Join Coschool, Hyderabad as an Educational Analyst and be part of a team revolutionizing learning with cutting-edge AI-powered tools! Overview As an Educational Analyst you shall be working closely with the Team Leads of the assigned subject as the team leads will visualize the student learning journey on digital medium. In this role you shall be assisting, coordinating with the team lead by collecting required data and to arrange the feedback from student experiments and support the team leads in designing joyful learning journey for students. As an Educational Analyst : You Get : As a self-starter, motivated, with exceptional interpersonal skills as well as a positive and flexible approach to problems solving with the dynamic team. Self-motivated team members, freelancers with high energy levels. Bring passion and dedication to your job and there's no telling what you could accomplish. Build a world-class products using cutting-edge technologies, one that is continually innovating and is proud of making a difference. Build the product experience on a global scale. Your Key Responsibilities: Work closely in coordination with Team Leads(subject specific) and Subject Matter Experts to deliver high quality experience for students to learn joyfully without gaps. Develop engaging, conceptually accurate content aligned with the NCERT curriculum for CBSE Grade 11 and 12. Design structured and effective learning journeys to help students achieve conceptual clarity. Work closely with Team Leads (specialized subjects) to define the process of curating education content required for a subject. Work with cross-functional teams, including Product, Engineering, and Marketing, to ensure seamless content integration and delivery. Create interactive and engaging video content to enhance student engagement. Analyze and utilize data from student interactions to optimize learning experiences and content effectiveness. Support functional testing and feature demo readiness Interface with Teachers/ Subject Matter Experts to organize content for a subject and ingest it into the backend system Understand each subject content details and take the right approach to package the right features. Be a facilitator in appropriate sessions being conducted to understand students and see if the content is working for target students. Support and analyze data collected by system and various experiments to enable decision making. Your Qualities: An avid learner who takes pride in making learning joyful Knowledge of Office tools like Power point, Excel, Video creations and ability to learn quickly for a task Creative skills to present subject content in an engaging way with help from designer Analytical skills to help make feature related decision on effectiveness in engaging students Ability to visualize student journey on App Attention to detail and ability to multitask What We Need: Masters in Physics Excellent verbal and written good communication skills Work experience of 0 to 2 years with Education/Content related area.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About Us: We are an innovative and fast-growing company focused on leveraging cutting-edge technology to explore new opportunities in various industries. Our focus is on applying artificial intelligence (AI) and large language models (LLMs) to solve real-world business challenges. Job Description: We are seeking motivated and independent AI & LLM interns to help explore and develop AI-driven solutions. This internship offers the chance to work on AI projects that involve natural language processing (NLP), machine learning, and large language models, providing real-world applications for these technologies. Key Responsibilities: Independently explore and experiment with LLM models to identify potential applications and opportunities. Develop and fine-tune AI models using transformer architectures (e.g., GPT, BERT, etc.). Conduct research on emerging AI and NLP trends to identify new areas for growth. Analyze and interpret data sets to train AI models. Work on building prototype AI solutions for potential business applications. Document findings, processes, and recommendations for future projects. Creating AI agents using available tools in market including ChatGPT & Claude Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong understanding of machine learning algorithms, natural language processing, and deep learning models. Experience with Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with transformer models and their applications. Strong analytical and problem-solving skills. Ability to work independently and manage tasks with minimal supervision. Eagerness to learn and stay updated with emerging AI trends. What We Offer: Hands-on experience working with real-world AI/LLM applications. Opportunities to contribute to innovative AI projects.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

Job Summary: We are looking for a dynamic and experienced Connected Vehicles and In-Car Experience Expert to lead the development and enhancement of connected car technologies and digital in-vehicle experiences. The ideal candidate will have deep domain knowledge of automotive connectivity, infotainment systems, and emerging trends in the mobility space. This role demands technical acumen, industry foresight, and strong collaboration with cross-functional teams to deliver world-class in-car features. Key Responsibilities: Drive the design and development of next-generation connected vehicle features and infotainment solutions . Monitor and interpret upcoming automotive industry trends , regulatory changes, and evolving customer expectations to inform product strategy. Contribute to defining new requirements in the automotive connectivity domain , with a focus on enhancing user experience and digital services. Demonstrate expertise in in-vehicle connectivity technologies , such as: Wi-Fi and cellular capabilities Connected apps and user subscription flows Telematics and cloud integration Collaborate with cross-functional teams including R&D, UI/UX, and software development to ensure seamless feature implementation and system integration. Support the roll-out of new app updates , ensuring alignment with market trends and customer needs . Provide technical insights and contribute to the strategic roadmap for connected vehicle services. (Optional) Work on advanced in-car technologies, including: Artificial Intelligence (AI)-based personalization In-car payment systems OTT (Over-the-Top) content integration Qualifications: Bachelor's or Master's degree in Engineering, Computer Science, or related field. 2-5 experience in the connected vehicle or automotive infotainment domain. Strong understanding of vehicle connectivity protocols , cloud services , and infotainment architecture . Experience working with cross-disciplinary teams in a product development environment. Knowledge of customer-centric feature development , market benchmarking , and competitive analysis . Strong communication and stakeholder management skills.

About the job: Key responsibilities: 1. End-to-End Feature Development - Design, build, and deploy full-stack web features using React (frontend) and Express/Node.js or FastAPI (backend), ensuring seamless user experiences and robust server-side logic. 2. API Integration - integrate third-party services and internal microservices while maintaining clear, versioned interfaces. 3. Database Design & Management - Model, optimize, and maintain MongoDB collections / indexes; implement data validation, aggregation pipelines, and performance tuning for large datasets. 4. Code Quality & Testing - Write clean, modular, well-documented code; establish unit, integration, and end-to-end test coverage with tools such as Jest, React Testing Library, Pytest. 5. Security & Compliance - Implement authentication/authorization (JWT, OAuth2), and ensure data privacy and regulatory compliance (e.g., GDPR). 6. Performance Optimization - Monitor and profile application performance (frontend and backend), implement caching strategies (Redis, in-memory), lazy loading, and code splitting to reduce latency. 7. Scalable System Design - Contribute to high-level architecture decisions, ensuring services are stateless, horizontally scalable, and fault-tolerant. 8. Collaborative Agile Delivery - Participate in sprint planning, daily stand-ups, and retrospectives; provide accurate estimations and deliver work iteratively in collaboration with product managers and designers. 9. Version Control & CI Participation Use Git (feature branches, PRs) and contribute to automated build/test pipelines (e.g., GitHub Actions) configured by senior engineers. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Ahmedabad only are Computer Science Engineering students Salary: ₹ 3,00,000 - 5,00,000 /year Experience: 1 year(s) Deadline: 2025-08-02 23:59:59 Other perks: 5 days a week Skills required: HTML, CSS, Python, MongoDB, Node.js, React and Artificial intelligence About Company: Aivoranext is a technology and design studio that partners with organizations to deliver measurable business value through advanced artificial-intelligence solutions and world-class creative services. Our cross-functional teams of data scientists, product engineers, and UX/UI designers guide clients from AI-readiness assessments and custom model development to fully managed, cloud-native product builds while simultaneously crafting cohesive brand identities and intuitive digital experiences. Grounded in agile practices and enterprise-grade governance, we align every engagement to clear KPIs, accelerating time-to-market, reducing costs, and opening new revenue streams. Driven by a mission to empower clients to achieve more, we envision a future where intelligent products and human-centric design work in harmony to transform industries and improve lives.

About the job: Key responsibilities: 1. Provide personalized counselling sessions to students and professionals interested in pursuing a career in fields such as Data Science, Artificial intelligence, and Digital Marketing 2. Offer guidance on course selection, career options, and skill development based on individual strengths and interests 3. Stay updated on industry trends and advancements in areas like Web development, Machine Learning, Finance, and Human Resources to provide relevant and accurate information to clients 4. Assist clients in setting academic and career goals, and develop action plans to help them achieve success 5. Collaborate with other team members to organize workshops, seminars, and events to educate clients about the latest technologies and trends in the industry 6. Maintain a database of resources and contacts in the fields of Computer skills, Data Science, and Finance to provide clients with access to additional support and opportunities 7. Monitor and evaluate client progress to ensure they are on track to reach their academic and career goals, and make adjustments to their plans as needed Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 2,00,000 - 3,00,000 /year Experience: 0 year(s) Deadline: 2025-08-02 23:59:59 Other perks: 5 days a week Skills required: Finance, Digital Marketing, Machine Learning, Computer skills, Web development, Data Science, Human Resources and Artificial intelligence About Company: Eduveda Academy is a prominent educational institution dedicated to bridging the gap between academic learning and career success. With a focus on skill-based courses and personalized guidance, Eduveda aims to prepare students for the dynamic challenges of the professional world. Eduveda provides a wide range of programs across various domains, including Web Development, Data Science, Android Development, Machine Learning, Cyber Security, IoT & Robotics, Artificial Intelligence, Cloud Computing, Hybrid & Electric Vehicles, Auto CAD, Digital Marketing, Finance, Human Resource, Stock Market, UI/UX Design, Graphic Design, and Medical Sciences. Courses are designed and delivered by industry experts, ensuring that students receive up-to-date and practical knowledge. Eduveda's programs are accredited by reputable organizations, including Wipro, ensuring that students receive education that meets industry standards.

Key Responsibilities: Strong programming skills in Python, PySpark, SQL for data processing and automation. Experience with Databricks and Snowflake (preferred) for building and maintaining data pipelines. Experience with Machine Learning model development and Generative/Agentic AI frameworks (e.g. LLMs, Transformers, LangChain) especially in the Data Management space Experience working with REST APIs & JSON for service integration Experience working with cloud-based platforms such as Azure, AWS, or GCP Power BI dashboard development experience is a plus. Some Experience with Machine LearningRole & responsibilities

Design & Develop intelligent Agentic AI agents that revolutionize industry *Design, develop & deploy AI solutions using Python 3, ML & React Native/JS. Java, C# Al/ML Models *Collaborate on data science projects Minimum 5 years experience in AL/ML

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience:7 -10Years (2+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

Were Hiring | Data Science Manager Location: Bangalore Experience: 813 Years Must-Have Skills: • Proven experience as a Data Scientist • Strong Python coding skills • Hands-on with libraries: NumPy, Pandas, Scikit-learn, etc. • Exposure to LLMs & Generative AI • Experience in Project & Team Management

Role & responsibilities we are looking for profiles who can flex across both Data Engineering and Data Science workstreams based on project needs. We understand candidates may lean more toward one area, but a balanced mix is important. Ideally, we are looking for a 60:40 mix, with stronger capabilities on the Data Engineering side, along with working knowledge of Machine Learning and Data Science conceptsespecially those who can pick up tasks in Agentic AI, OpenAI, and related areas as required in the future.