464 Ai Techniques Jobs - Page 6

Role Overview We are seeking a Community Manager to lead, engage, and support our growing online community. This role blends community relationship building, technical enablement, and member success helping learners use our digital tools effectively, driving adoption, and ensuring a vibrant, informed, and engaged community. You will be the bridge between our members, product, and internal teamsensuring that our learners feel supported, valued, and empowered. Key Responsibilities Member Support Serve as the primary point of contact for member queries via calls, messages, emails, and community platforms. Provide timely and personalized solutions to AI Tools and technical concerns. Proactively follow up to ensure resolution and satisfaction . Relationship Management Build and nurture long-term relationships with members. Ensure members feel valued through personalized interactions . Collect and share feedback to improve the overall member experience . Community Engagement & Growth Host virtual meetups, webinars, and Q&A sessions to enhance engagement. Foster peer-to-peer networking, discussions, and collaborations within the community. Value Systems Alignment Prioritizes customer experience and support above all else. Demonstrates empathy, active listening, and understanding in all interactions. Committed to driving customer success and building long-term relationships. Technical Systems Proficiency Good understanding of technical systems and operational workflows. Demonstrated ability to quickly learn, adapt, and work efficiently with diverse technical platforms. Skilled in troubleshooting, optimizing, and maintaining system performance. Administrative Tasks Maintain accurate records of member interactions, feedback, and resolutions using CRM tools. Track and report key metrics such as member satisfaction and retention rates. Coordinate with other teams to address escalations or provide additional support. Skills & Qualifications Strong Communication : Exceptional verbal and written skills with empathy-driven engagement. Familiarity with AI Tools and their usage is a must Customer Centric : Experience in customer service, client management, or community engagement. Organization : Strong multitasking, prioritization, and record-keeping skills. Technical Proficiency : Familiarity with CRM systems, community platforms, AI tools, and messaging/email platforms. Problem-Solving : Ability to moderate discussions, resolve conflicts, and address member concerns. Proactiveness : Anticipate member needs and offer proactive solutions. Emotional Intelligence : Patience, adaptability, and the ability to connect with diverse members. Preferred Qualifications 0–2 years of experience in community management, customer success, or related roles . Technical Educational background (Preferred: Computer science, IT, or related fields) Age limit: 21- 26 Experience in EdTech or digital products . Knowledge of different AI tools Hands-on experience with CRM tools and community platforms. Event hosting or moderation experience (online).

Responsibilities: * Develop AI solutions using Python, ML algorithms & NLP techniques. * Collaborate with cross-functional teams on backend dev & frontend UX.

Job Responsibilities Short Description We are looking for a highly skilled and innovative Data Scientist - AI/ML & Generative AI Architect and Developerwith deep expertise in Python , Data Science , and Artificial Intelligence . The ideal candidate will have a strong foundation in computer science, hands-on experience in building and deploying AI/ML models, and a passion for exploring the frontiers of Generative AI . This role requires a blend of architectural vision and hands-on development to deliver cutting-edge AI solutions across domains. Key Responsibilities: Design and implement scalable AI/ML architectures using Python and modern frameworks. Develop and deploy Generative AI models (e.g., LLMs, diffusion models) for real-world applications. Lead end-to-end data science projectsdata collection, preprocessing, modeling, evaluation, and deployment. Collaborate with cross-functional teams including data engineers, product managers, and researchers. Translate business problems into AI/ML solutions and communicate results to stakeholders. Stay up to date with the latest advancements in AI/ML and GenAI technologies and integrate them into solutions. Ensure compliance with data governance, security, and ethical AI practices. Primary Skills (Must-Have): Strong programming skills in Python with experience in libraries such as NumPy , Pandas , Scikit-learn , TensorFlow , PyTorch , and Transformers . Deep understanding of machine learning , deep learning , NLP , and Generative AI techniques. Experience with LLMs , prompt engineering , fine-tuning , and RAG (Retrieval-Augmented Generation) . Hands-on experience in data analysis , data processing , and model deployment . Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tools. Strong grasp of computer science fundamentals including algorithms, data structures, and system design. Secondary Skills (Good-to-Have): Experience with data visualization tools (e.g., Plotly, Dash, Streamlit). Familiarity with DevOps , CI/CD pipelines , and containerization (Docker, Kubernetes). Knowledge of scientific computing , research methodologies , and academic publishing . Exposure to multi-modal AI , image generation , or audio synthesis . Understanding of ethical AI , bias mitigation , and AI governance . Qualifications: Bachelors or Masters degree in Computer Science , Data Science , Artificial Intelligence , or related fields. 10+ years of experience in software development, with at least 5 years in AI/ML. Proven track record of delivering AI/ML solutions in production environments.

Data Scientist Python and Notebooks Responsibilities Job Description We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency Requirements 10-13 years of experience in data science or related field Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications. Location - Bengaluru,Hyderabad,Chennai,Pune

Job Description: We are looking for an experienced AI Software Engineer to lead the development and integration of AI-driven solutions for our company. This role will involve designing scalable AI architectures, implementing algorithms, and ensuring robust deployment. Responsibilities: Design and develop scalable and explainable AI solutions, leveraging techniques such as deep learning, natural language processing (NLP), and reinforcement learning. Implement AI algorithms and models using frameworks like TensorFlow, PyTorch, or custom implementations in Python. Collaborate with data scientists and database engineers to integrate AI solutions with existing data infrastructure. Optimize AI models for performance, scalability, and real-time processing capabilities. Ensure compliance with data privacy, security regulations, and best practices in AI development. Requirements: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Solid programming skills in Python and proficiency in AI/ML libraries and frameworks. Experience in designing and deploying AI models in production environments. Understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Strong problem-solving abilities and analytical thinking. Preferred Qualifications: Previous work in developing AI solutions for financial applications or risk management. Familiarity with distributed computing and parallel processing techniques for handling large-scale data..

Roles and Responsibilities Design, develop, test, and deploy AI-powered solutions using various technologies such as AIMl, Deep Learning, and Machine Learning. Collaborate with cross-functional teams to identify business problems and implement automation solutions using tools like Blue Prism, Uipath, or Automation Anywhere. Develop data analysis skills to extract insights from large datasets and provide recommendations for process improvements. Troubleshoot issues related to deployment automation and ensure seamless integration with existing systems. Desired Candidate Profile 0-1 year of experience in Artificial Intelligence Engineering or a related field. Strong understanding of AI algorithms, machine learning algorithms, and deep learning concepts. Proficiency in programming languages such as Python or Java; knowledge of C++ is an added advantage.

We are hiring fresh graduates to join are team at Webrex Studio LLP to become industry-ready AI Engineers through our comprehensive paid training program. Job Title - AI Engineers (Internship/Training Program) Job type - Full Time, On-Site Job Location - Ahmedabad Start Date - 15 September 2025 Duration - 6 months Internship features : Small batch sizes 6 months intensive paid training program Job guarantee upon successful completion Hands-on practical learning approach What You'll Master: Python for AI & Machine Learning JavaScript & React.js Development LLMs & Prompt Engineering (ChatGPT, Claude, etc.) AI Systems - LangChain, RAG, Memory & Agents MongoDB Database Management Web Scraping & Automation with Python What will you achieve after internship: You'll Be Able To Create complete AI-powered web applications Automated business process solutions Intelligent data processing systems Custom AI tools for various industries Requirements: Fresh graduates (BE/BTech/BCA/MCA) or early-career developers Must be available for full-time office-based training (Mon-Fri) Strong commitment to learning and skill development Basic programming knowledge preferred Interested candidates can reach out to 7859845949 Note: This is a professional paid training program. Serious candidates only.

* Optimize website performance through SEO analysis and AI techniques. * Create compelling content for digital marketing campaigns. * Monitor search console and analytics reports. * Must have experience in SEO for Wordpress website Required Candidate profile * Preferrable Immediate Joiner

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Role Overview The AI Editor & Prompt Specialist at Ayn Media will lead the creative integration of artificial intelligence tools into the content development process for a high-stakes social media digital campaign.

Job description A global travel company is seeking an candidate of our Artificial Intelligence Strategy to contribute to the development of integrating Artificial Intelligence tools into our workflows. . As an AI Engineer, you will be responsible for designing, implementing, and maintaining Artificial Intelligence tools to assist customer on the website find the information related to travel experiences, both within our own company website and from third party sources Responsibilities Design and implement Artificial Intelligence procedures such as Chabot solutions using industry-leading technologies and frameworks. Collaborate with stakeholders to understand requirements and translate them into functional AI features. Implement Natural Language Processing (NLP) techniques to enable accurate understanding and generation of human-like responses. Integrate AI workflows within external systems, APIs, and databases to fetch and deliver data as required. Design and implement dialog management systems to handle user interactions and maintain context. Optimize AI performance and usability by refining conversational flows and user interfaces. Conduct thorough testing and debugging to identify and resolve issues, ensuring the AI functions reliably and efficiently. Stay up to date with the latest advancements in NLP, AI, technologies to incorporate innovative solutions. Collaborate with cross-functional teams, including designers, product managers, and data scientists, to deliver high-quality AI solutions. Provide technical guidance and support to junior developers as needed. Document technical specifications, processes, and best practices to ensure knowledge sharing and maintainable code. Requirements Proven experience as a Chatbot Developer or similar role, with a strong portfolio of AI projects. Proficiency in programming languages such as Python. Experience in any RDBMS and NoSQL databases In-depth knowledge of NLP techniques, libraries, and frameworks, such as NLTK, spaCy, or BERT. Familiarity with AI frameworks and platforms, such as Dialog flow, Rasa, or Microsoft Bot Framework. Experience in integrating AI such as Co-pilot and ChatGPT APIs. Strong problem-solving and analytical skills to design and implement effective AI solutions. Excellent understanding of software development principles, including version control, testing, and debugging. Knowledge of UX design principles and conversational UI design. Strong communication skills and ability to collaborate effectively with team members and stakeholders.

- Build & test AI software for large-scale data; develop in Python, JS & C++ for performance - Analyze data, stats & algorithms for accuracy; recommend AI-driven strategies - Collaborate with ML/Data engineers; track AI trends & compliance Required Candidate profile - Deep understanding of data science, linear algebra, algorithms, and statistics. - In-depth knowledge of Python, JavaScript, and C++, etc. - Willingness to learn in an up-and-coming field.

Senior Data Scientist - AI/ML About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. What you can look forward to as Senior Data Scientist -AI/ML (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team''s long-term research goals and strategies. Your profile as Senior Data Scientist- AI/ML(m/f/d): Master''s degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing. Excellent communication and collaboration skills. Contribution to invention disclosure process. A strong publication record in top machine learning conferences or journals.

Role & responsibilities This key role within Millennium is Accountable for all Inbound (content) and Outbound marketing initiatives to drive traffic, brand awareness, engagement and leads to deliver sales and customer retention for the Millennium portfolio of Electronic Access Control Products. Specific responsibilities include; Deliver effective content marketing strategy and editorial plan to meet business objectives at the lowest possible cost. Establish closed-loop analytics with sales to understand how our inbound marketing activity turns into customers, and continually refine our process to convert customers Conduct market research and competitive analysis. Develop digital and print collateral and sales tools, including presentations, demos, and competitive write-ups Editorial requirements include basic SEO understanding, content categorization and structure, content development, distribution and measurement. Development of editorial governance so content is consistent with brand voice, style and tone. Creation and management of editorial calendar and organization workflows in coordination with company leadership. Channel management of digital content hubs and all supporting social channels including email / newsletter distribution. This person must understand the basic best practices of the main social media channels, which content and approaches work on each and why Measurement and optimization marketing campaigns, programs and initiatives and provide regular performance reports to senior leadership. Use AI to generate leads and accelerate marketing growth through smarter targeting and automation. Use Marketing Tools to stay ahead of market trends, analyze competitor positioning, and identify strategic gaps or opportunities. Utilize analytics platforms to gain deeper insights into customer behavior and website visitors, predict trends, and optimize campaign performance in real time. Use AI to automate multiple tasks and build a more intelligent, efficient system for day-to-day marketing operations. Use a wide variety of tools to build strong, high-performing content that drives organic traffic and engagement across channels. Has strong experience in creating and optimizing paid ad campaigns across various channels including Google and social media platforms to drive traffic, generate leads, and maximize ROI. Desired Candidate Profile BA/BS or equivalent work experience Minimum 2 year of Technology Product Marketing Experience Experience creating content for the web and growing a social audience Editorial mindset that seeks to understand what audiences consume and how to create it Ability to analyze and present content and social performance Experience with WordPress, Google analytics, SlideShare, and the top social channels Project management skills and understanding how to manage the priorities of multiple stakeholders in a complex environment and focus on the delivery of results in the form of engagement, leads and sales High energy, self-starter capable of getting things done in a fluid entrepreneurial environment

Job Title - S&C Global Network - AI - Hi Tech - Data Science Consultant Management Level:9-Team Lead/Consultant Location:Hyderabad, HDC2A Must-have skills: Data Science Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU We are seeking a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Develop and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. About Our Company | Accenture Qualification Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure.

GIIS Whitefield is hiring for TGT IT teacher (Contract for 7 months). School Address: No 5,6,8, Whitefield Sarjapur Main Road, Gunjur Rd, Heggondahalli Village, Bengaluru, Karnataka 560087 Responsible for teaching the IT / Computer subject to students from Grades 6 to 9 (AI and Python knowledge is must) Immediate joiners preferred.

Role & responsibilities Product Marketing Manager Location: Kochi Employment Type: Full-time Linnk is building a global AI-native SaaS ecosystem that transforms how recruitment, HR, and finance industries operate. Our products combine automation, data, and AI to help businesses scale seamlessly across markets. We are looking for a Product Marketing Manager who can bridge the gap between product, market, and customer. The ideal candidate has a product-first mindset , is curious about AI , and can craft positioning, messaging, and campaigns that resonate globally. Key Responsibilities Define clear product positioning and messaging that reflects Linnks value globally. Collaborate with product, design, and sales to support launches and feature adoption. Conduct market and competitor research to identify opportunities and product gaps. Create and manage product marketing content (sales decks, landing pages, case studies, etc.). Contribute to GTM strategies and demand-generation campaigns. Track adoption and market impact, providing feedback into product and roadmap. Skills & Qualifications 3+ years of experience in product marketing, preferably in B2B SaaS . Strong communication and storytelling skills. Ability to simplify complex product concepts into clear, engaging messaging. Exposure to AI-driven products, SaaS, or HR/Finance tech is a plus. Strong problem-solving and analytical thinking. Comfortable working in a fast-paced, global environment with cross-functional teams. Preferred candidate profile

We are seeking a visionary and strategic Senior Principal UX Designer to lead design excellence across AI-powered enterprise applications. This India-based role is instrumental in shaping transformative user experiences with a strong focus on design innovation, intelligent agents, and product influence at scale. The ideal candidate combines deep UX craft with strategic thinking, influencing not just product features but also the culture of design and execution across functions. This role reports to UX leadership and works across domains, partnering with global product, engineering, and AI/ML teams to deliver high-quality, human-centered solutions that serve HR professionals, payroll admins, and employees at scale. Role Overview We are seeking a visionary and strategic Senior Principal UX Designer to lead design excellence across AI-powered enterprise applications. This India-based role is instrumental in shaping transformative user experiences with a strong focus on design innovation, intelligent agents, and product influence at scale. The ideal candidate combines deep UX craft with strategic thinking, influencing not just product features but also the culture of design and execution across functions. This role reports to UX leadership and works across domains, partnering with global product, engineering, and AI/ML teams to deliver high-quality, human-centered solutions that serve HR professionals, payroll admins, and employees at scale. Key Responsibilities: Strategic Product Influence Shape and influence product direction by working closely with Product, Engineering, and Data Science leaders. Champion user needs while balancing technical and business constraints to drive thoughtful, innovative product experiences. Serve as a strategic partner in roadmap planning and prioritization, especially for AI-powered and agent-driven experiences. AI, Agents & Intelligent Experiences Lead the design of next-generation user experiences that incorporate predictive workflows, conversational agents, and proactive automation. Collaborate with AI/ML teams to translate capabilities into meaningful UX interactions. Ensure ethical and human-centered integration of AI features aligned with UKG's trust and compliance goals. Cross-Functional Leadership Define and implement ways-of-working with product and engineering teams across product lines. Establish and govern design process adherence, while enabling flexibility and innovation. Drive alignment across global teams and champion a collaborative design culture. Design Execution & Systems Thinking Own and deliver end-to-end UX from discovery to polished execution across web and mobile platforms. Create and advocate for scalable, reusable patterns through partnership with Design Systems teams. Apply strong systems thinking to manage complexity, especially across integrated enterprise platforms. Thought Leadership & Mentorship Act as a design mentor and coach for other principal and senior designers across teams. Contribute to the evolution of UKGs design culture, practices, and community globally. Represent India design leadership in global strategic initiatives and cross-org collaborations. Required Qualifications 12+ years of experience in UX/Product Design, with 35+ years at a Principal or Lead level in enterprise software. Demonstrated experience influencing product vision, defining design strategies, and creating frameworks that scale. Strong experience with AI-integrated design, conversational UX, and workflow optimization. Exceptional ability to collaborate cross-functionally and drive consensus among diverse stakeholders. Strong visual and interaction design skills with deep experience in responsive web and native mobile platforms. Mastery of Figma and other design/prototyping tools; knowledge of front-end tech is a plus. Outstanding communication, storytelling, and facilitation skills. Bachelor's or Master's degree in HCI, Design, Psychology, Computer Science, or a related field. Portfolio demonstrating complex, enterprise-grade solutions and leadership impact. Deep domain knowledge in HR, payroll, financial systems, or compliance-driven software. Experience in designing for international markets and ensuring accessibility and localization compliance. Familiarity with Agile and Lean UX practices at scale.

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Databricks Good to have skills : Python (Programming Language), Microsoft Azure Data Services, PySparkMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives. You will also monitor and optimize existing data processes to enhance performance and reliability, making data-driven decisions to support organizational goals. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with stakeholders to gather and analyze data requirements.- Design and implement data models that support business needs.Must have Proficiency in programming languages such as Python, SQL, and experience with big data technology - Spark.Experience with cloud platforms mainly on Microsoft Azure.Experience on Microsoft Azure Databricks and Azure Data Factory.Experience with CI/CD processes and tools, including Azure DevOps, Jenkins, and Git, to ensure smooth and efficient deployment of data solutions. Familiarity with APIs to push and Pull data from data systems and Platforms. Familiarity with understanding software architecture High level Design document and translating them to developmental tasks. Familiarity with Microsoft data stack such as Azure Data Factory, Azure Synapse, Databricks, Azure DevOps and Fabric / PowerBI. Nice to have:Experience with machine learning and AI technologies Data Modelling & Architecture ETL pipeline design Azure DevOps Logging and Monitoring using Azure / Databricks services Apache Kafka Additional Information:- A 15 years full time education is required. Qualification 15 years full time education

Responsible for driving the adoption of new technologies, exploring and implementing AI-based solutions, and improving processes at both the operational and strategic levels. This role requires a deep understanding of international standards, the ability to identify and implement process improvements, and hands-on experience with technology integration at construction sites. Key Responsibilities: Technology Research & Implementation: Explore and research emerging technologies, including AI, that can improve efficiency in construction. Implement and oversee the deployment of new technologies and software solutions for construction projects. Evaluate new tools, applications, and systems that could drive technological transformation on-site or in project management processes. Ensure the integration of AI technologies for predictive analysis, automation, and site management. Process Improvement: Identify areas for process optimization across the construction lifecycle, from planning to execution. Propose and implement changes that streamline workflows, reduce costs, and improve overall project efficiency. Work closely with teams to develop and improve best practices for project execution, utilizing new technologies. On-Site Implementation: Lead the hands-on implementation of new technologies and processes directly at construction sites. Provide training to construction teams on the use of new technologies and ensure smooth integration into existing workflows. Ensure that new technologies are following local regulations and international standards. AI Integration in Construction: Explore and pilot AI applications relevant to construction processes, including project management, safety monitoring, resource optimization, and risk assessment. Collaborate with AI vendors and developers to adapt and integrate AI-driven solutions into company practices and project execution. Adherence to International Standards: Stay up to date with international standards and best practices related to construction, technology integration. Ensure all technologies, processes, and software implementations comply with industry regulations and global best practices. Required Skills: Proven track record of excellence in project management within the real estate sector, demonstrating a robust understanding of industry standards and best practices. Preferred Skills: Advanced knowledge of project management methodologies specific to real estate, with a history of successful project delivery, including familiarity with AI Process Tools.

Video Marketing & Editing Graphic & Visual Design AI-Powered Creativity Graphic Designing Vedio Animation 3D Designing Magazine Creater

Data Engineer Job Description FT About the Role: We are seeking a motivated and passionate candidate to join our dynamic team as a Data Engineer. In this role, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will be working on database performance tuning, and enhancing data modeling techniques. You will work closely with data scientists, and other engineers to extract, transform, and load data from various sources into our data warehouse. Responsibilities: Data Modeling and Design: Design and implement efficient data models, including dimensional and normalized models. ETL/ELT Development: Develop and maintain robust ETL/ELT pipelines. Data Pipeline Optimization: Optimize data pipelines for performance and scalability. Database Performance Tuning: Identify and resolve performance bottlenecks in database queries and indexes. Data Quality Assurance: Implement data quality checks and monitoring to ensure data accuracy and consistency. Collaboration: Work closely with data scientists, data engineers, and leadership to understand business requirements and translate them into technical solutions. Cloud Infrastructure: Manage and maintain data infrastructure on cloud platforms. Data Security and Privacy: Implement security measures to protect sensitive data. Requirements: 3+ years of experience in data engineering or a related field. Strong proficiency in SQL, NodeJS/JavaScript/React, Python. Experience with data warehousing and data modeling concepts. Experience with ETL/ELT tools and frameworks (e.g., Airflow, dbt, Talend). Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Experience in designing and optimizing database schemas. Understanding of database performance tuning techniques. Knowledge of data modeling techniques (e.g., dimensional modeling, star schema, snowflake schema). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus Excellent problem-solving and analytical skills. Strong communication and collaboration skills.

Primary Objective: Drive lead generation, and product awareness across US and EU markets through smart digital campaigns and content strategies. You should have 1-3 years of digital marketing experience, preferably in a SaaS or tech startup.

As a part of our dynamic and innovative team based in Bangalore, India, you will be joining a group of Data Engineers, Data Architects, and Data Scientists. Our mission is centered around utilizing data to provide actionable insights that enable executives to make informed, data-driven decisions. Through the analysis and interpretation of complex datasets, we aim to help the organization understand its business health and identify opportunities for growth and improvement. In this role as a Senior Data Scientist, you will be crucial in driving data-driven decision-making and fostering innovation within our organization. You are expected to have a deep understanding of machine learning models, artificial intelligence (AI), generative AI, and data visualization, with proficiency in tools like Tableau. Hands-on experience with databases such as Snowflake and Teradata, coupled with advanced knowledge of various data science and AI techniques, will be essential for success in this role. Your responsibilities will include designing and implementing advanced machine learning models, applying AI techniques to enhance data analysis, creating insightful dashboards using visualization tools, managing large datasets, collaborating with cross-functional teams, and staying abreast of the latest advancements in data science and AI technologies. Additionally, you will be expected to mentor junior data scientists, effectively communicate complex analytical concepts to non-technical stakeholders, and contribute to a culture of continuous learning and development. Key technologies and skills that will be crucial for this role include proficiency in machine learning models, AI techniques, visualization tools (especially Tableau), databases (Snowflake, Teradata), programming languages (Python, R, SQL), Python libraries (TensorFlow, PyTorch, scikit-learn, etc.), data processing (ETL processes, data warehousing, data lakes), and cloud platforms (AWS, Azure, Google Cloud Platform). To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field, along with a minimum of [X] years of experience as a Data Scientist or in a similar role. A proven track record in developing and deploying machine learning models and AI solutions, strong expertise in data visualization tools like Tableau, extensive experience with Snowflake and Teradata databases, excellent problem-solving skills, and exceptional communication abilities are also essential. Preferred qualifications for this role include excellent communication and collaboration skills, the ability to translate business requirements into technical solutions, strong problem-solving abilities with complex datasets, experience in statistical analysis and machine learning techniques, and understanding of various business domains such as sales, financials, marketing, and telemetry.,

You will be responsible for leading and conducting independent validations of AI/ML models (traditional and Generative AI) within various financial domains such as consumer and commercial credit risk, marketing, fraud, and AML. Your primary focus will be to ensure the accuracy, reliability, and compliance of models by overseeing and performing thorough validations. Additionally, you will drive AI validation projects by planning, executing, and ensuring successful implementation aligned with organizational goals. Engaging with different departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment is essential. Your role will also involve contributing expertise to the development of policies guiding AI practices and model risk management, ensuring regulatory compliance and ethical standards are met. Staying updated on the evolving regulatory landscape surrounding AI and ML will be crucial. Furthermore, you will be responsible for mentoring and developing team members to foster a culture of collaboration and build a strong, knowledgeable team. Utilizing Google Cloud Platform (GCP) to automate workflows, enhance efficiency, and improve process integration will be part of your responsibilities. You will also contribute to designing and executing model testing and monitoring processes. To be successful in this role, you should have at least 6 years of model validation or Model Risk Management experience, preferably within the banking and financial services domain, with a deep understanding of industry-specific requirements and challenges. Demonstrated expertise in AI techniques such as Machine Learning, natural language processing, and deep learning, along with experience using ML libraries like TensorFlow, Keras, PyTorch, Scikit-learn, or equivalent, is required. Additionally, you should have a minimum of 1 year of experience supervising projects and team members, showcasing your ability to manage multiple projects and stakeholders effectively. A foundational knowledge of Generative AI, with relevant coursework, is necessary. Advanced programming skills in Python and SQL are essential, along with strong interpersonal skills to lead teams, manage client relationships, and collaborate effectively with partners. Experience collaborating with partners, stakeholders, and teams across multiple geographies and organizational levels is advantageous. You should possess in-depth knowledge of regulations surrounding AI in the banking industry and practical experience in credit risk and fraud models. The ability to articulate complex concepts clearly to diverse stakeholders with varying levels of technical proficiency is crucial. Ideally, you should hold a Master's degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science, or a related discipline, demonstrating a high level of expertise and commitment to the field. Experience in developing, validating, or implementing Gen AI models, prior regulatory modeling development experience, and hands-on experience with cloud-based platforms like GCP and AWS would set you apart. Excellent communication and presentation skills would be an added advantage.,