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Machine Learning (ML)For software developers, learning programming languages needs to be practical. This is where the startup has helped more than 15000 students to turn theory into practical knowledge. Currently, offering 9 courses the startup has played a catalyst for thousands of students to land jobs at tech giants like Google, Amazon, Adobe, and Walmart. The startup enables students to follow a comprehensive curriculum and seek help from industry experts without facing any geological barrier.
The founders of the startup are the alumnus of acclaimed institutes like IIT Delhi and Stanford University with experience of working in Amazon, Facebook, Cars24, and other top startups in India.
- Managing a team of 3-4 content developers working to create course content and projects
- Designing the course content curriculum based on the industry requirements and in interaction with industry experts
- Establishing the required guidelines and processes for the team to follow while creating the content
- Training, reviewing and guiding content developers on the content work that needs to be accomplished adhering to the timelines
What you need to have:
- BE/ B.tech/ BCA/ M.Tech/ MCA with a computer science background
- Excellent problem-solving and team management skills.
- Minimum 3 years of experience working in the data science domain/ edtech content creation
- Exposure to Machine learning algorithms and working on Kaggle projects is preferred
- Ability to do a detailed review of the course content and design project problem statements
- Ability to train and guide a team of content developers to manage timelines and brainstorming on course content
We are hiring for Corporate Ticketing (Male)
Location- Noida-Sec- 63
Experience- 3+ Yrs
Should be comfortable for Night Shifts
Preferred candidates from Travel agencies with good communication skills.
Required:
● Possess in-depth knowledge of GDS systems, specifically Galileo and sabre only
● Demonstrate proficiency in managing both international and domestic ticketing operations.
● Strong knowledge of city codes, airport codes, and airline hubs.
● Excellent communication skill in both written and verbal formats
● Willingness to work in rotational shifts, including nights and weekends
Machine Learning (ML)
PythonAbout Us
CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.
Job Summary:
We are seeking a highly innovative and skilled AI Engineer to join our AI CoE for the Data Integration Project. The ideal candidate will be responsible for designing, developing, and deploying intelligent assets and AI agents that automate and optimize various stages of the data ingestion and integration pipeline. This role requires expertise in machine learning, natural language processing (NLP), knowledge representation, and cloud platform services, with a strong focus on building scalable and accurate AI solutions.
Key Responsibilities:
- LLM-based Auto-schematization: Develop and refine LLM-based models and techniques for automatically inferring schemas from diverse unstructured and semi-structured public datasets and mapping them to a standardized vocabulary.
- Entity Resolution & ID Generation AI: Design and implement AI models for highly accurate entity resolution, matching new entities with existing IDs and generating unique, standardized IDs for newly identified entities.
- Automated Data Profiling & Schema Detection: Develop AI/ML accelerators for automated data profiling, pattern detection, and schema detection to understand data structure and quality at scale.
- Anomaly Detection & Smart Imputation: Create AI-powered solutions for identifying outliers, inconsistencies, and corrupt records, and for intelligently filling missing values using machine learning algorithms.
- Multilingual Data Integration AI: Develop AI assets for accurately interpreting, translating (leveraging automated tools with human-in-the-loop validation), and semantically mapping data from diverse linguistic sources, preserving meaning and context.
- Validation Automation & Error Pattern Recognition: Build AI agents to run comprehensive data validation tool checks, identify common error types, suggest fixes, and automate common error corrections.
- Knowledge Graph RAG/RIG Integration: Integrate Retrieval Augmented Generation (RAG) and Retrieval Augmented Indexing (RIG) techniques to enhance querying capabilities and facilitate consistency checks within the Knowledge Graph.
- MLOps Implementation: Implement and maintain MLOps practices for the lifecycle management of AI models, including versioning, deployment, monitoring, and retraining on a relevant AI platform.
- Code Generation & Documentation Automation: Develop AI tools for generating reusable scripts, templates, and comprehensive import documentation to streamline development.
- Continuous Improvement Systems: Design and build learning systems, feedback loops, and error analytics mechanisms to continuously improve the accuracy and efficiency of AI-powered automation over time.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience (e.g., 3+ years) as an AI/ML Engineer, with a strong portfolio of deployed AI solutions.
- Strong expertise in Natural Language Processing (NLP), including experience with Large Language Models (LLMs) and their applications in data processing.
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Hands-on experience with cloud AI/ML services,
- Understanding of knowledge representation, ontologies (e.g., Schema.org, RDF), and knowledge graphs.
- Experience with data quality, validation, and anomaly detection techniques.
- Familiarity with MLOps principles and practices for model deployment and lifecycle management.
- Strong problem-solving skills and an ability to translate complex data challenges into AI solutions.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with data integration projects, particularly with large-scale public datasets.
- Familiarity with knowledge graph initiatives.
- Experience with multilingual data processing and AI.
- Contributions to open-source AI/ML projects.
- Experience in an Agile development environment.
Benefits:
- Opportunity to work on a high-impact project at the forefront of AI and data integration.
- Contribute to solidifying a leading data initiative's role as a foundational source for grounding Large Models.
- Access to cutting-edge cloud AI technologies.
- Collaborative, innovative, and fast-paced work environment.
- Significant impact on data quality and operational efficiency.
Position Title: Sales Specialists
Location: PAN India (*Tier 1, Tier 2, Tier 3)
Salary Range: 4 LPA to 5.5 LPA (includes performance bonus of 1 lac)+ IncenƟves+ Perks+ TA+ DA
EducaƟon: Bachelor's degree in any stream or Master's degree/MBA
Key Responsibilities:
1. As a Sales Specialist/ExecuƟve, the candidate will be required to be in the field daily, engaging with potential clients, and generaƟng new business opportunities through personal visits, emails, and calls
and other field activities.
2. Build and maintain strong relaƟonships with new customers.
3. Present tailored solutions for endpoint protecƟon & network.
4. Focus on achieving the Individual target for Retail & SME.
5. Provide exceptional customer service and support throughout the sales process.
Machine Learning (ML)🚀 We’re Hiring! | AI/ML Engineer – Computer Vision
📍 Location: Noida | 🕘 Full-Time
🔍 What We’re Looking For:
• 4+ years in AI/ML (Computer Vision)
• Python, OpenCV, TensorFlow, PyTorch, etc.
• Hands-on with object detection, face recognition, classification
• Git, Docker, Linux experience
• Curious, driven, and ready to build impactful products
💡 Be part of a fast-growing team, build products used by brands like Biba, Zivame, Costa Coffee & more!
- Prepare well-structured drafts using digital publishing platforms.
- Create various content types (videos, articles, infographics) with relevant tone and style, adhering to the respective style guides.
- Interview industry professionals and incorporate their views in blog posts.
- Promote content on social networks and monitor engagement (e.g. comments and shares).
- Identify artist's and customers’ needs and recommend new topics.
- Incorporate blog and social media posts in both websites and social media platforms like Facebook or LinkedIn.
- Collaborating with internal departments to establish a campaign and promote our social media page.
- Suggesting new ways to promote company offerings and to reach consumers.
- Proven work experience as a Content Creator, Copywriter, or similar role.
- Portfolio of published articles.
- Excellent interpersonal and relationship-building skills.
- Networking aptitude.
- Interest and passion for the entertainment industry are a must!
- Excellent writing and editing skills in English.
- Experience creating strong, engaging content.
- The capacity to work independently and collaboratively.
- Ability to work efficiently without compromise
- Express their operations strategies and objectives to make sure that the company reaches its target and operates effectively.
- Assisting higher executives.
- Working directly with customers handling the documentations.
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