Operation Executive

About 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.
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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.

Requirements:

6+ year of working experience .

Strong understanding of web fundamentals

Deeply technical with a track record of successful delivery.

Manage daily/weekly scrums.

Lead technical strategy and implementation for various team initiatives with an alignment with project / client expectations

Proven record of building project from scratch.

An entrepreneurial spirit combined with strong program and project management skills.

Excellent written and verbal communication skills with the ability to present complex plans and designs.

Excellent judgment, organizational, and problem-solving skills.

Excellent design and architecture knowledge.

Data-driven decision making.

We are looking for an experienced Android developer for the development and maintenance of an Android app aimed at drone pilots to execute drone flights. The application will have to be intuitive, robust and work offline.

You will be working along-side other mobile and web developers to develop a full-stack drone flight solution that enables drone service providers, pilots, and enterprises to execute fast, accurate, and seamless drone missions. You will work with cross functional product development team and will be responsible to design and build drone applications.

Qualification:

• Tech/M.tech/BCA/MCA Degree in computer Science/IT/Electronics.

Duties & Responsibilities:

• Design, build and maintain efficient, reusable, and reliable android code.

• Collaborate with cross-functional teams to define, design, and ship new features
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Skills:

• Hands-on experience in developing Android apps

• Experience with offline storage, threading and performing benchmarking and tuning.
• Well versed with the latest android jetpack libraries (AndroidX, ViewModels etc)
• Understanding of Android design principles and interface guidelines
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
• Proficient understanding of code versioning tools like Git
• Work with outside data sources and APIs (Familiar with frameworks like Retrofit, Volley, OkHTTP, etc.)
• Familiarity with cloud message APIs and push notifications.
• Good knowledge in programming concepts OOPs, design & coding patterns
• Experience in writing & executing UI Unit Tests for robustness, usability, and reliability.
• Experience with Google Play console and publishing apps on the play store

Soft Skills:

• Understanding of database structure, algorithms, and processes
• Familiar with database management and design
• Good communication and management skills
• Ability to adapt to new technology, concept, approaches, and environment faster
• Problem-solving and analytical skills
• Must have a learning attitude and improvement mindset
• Knowledge of non-functional aspects of the app/product such as security, automation, testing, performance, optimization
• Leadership and resource management skills

Requirements:-

• Excellent organizational skills.
• Customer service attitude.
• Professional attitude and appearance.
• Solid written and verbal communication skills.
• Proven work experience as a Receptionist, Front Office Representative or similar role.
• Direct visitors to the appropriate person and office.
• Answer, screen and forward incoming phone calls.
• Provide basic and accurate information in-person and via phone/email.
• Maintain office security by following safety procedures and controlling access via the reception desk.

• Proficient in R and Python
• Work experience 1+ years with at least 6 months working with Python
• Prior experience with building ML models
• Prior experience with SQL
• Knowledge of statistical techniques
• Experience with working on Spatial Data will be an added advantage

• Develop and manage the outreach strategy across various segments of corporate users i.e., MNCs, start-ups, investors. Develop targeted value propositions for various segments of corporate users

• Conduct regular analysis of platform usage by companies to determine key issues / insights and suggest actions. Weekly follow-ups with key clients and developing client relationships 

• Independently, pitch the concept, manage follow-up, and ensure leads’ questions are answered

• Support design of key strategic initiatives through analytics and primary research and curation of the company side of the platform

• Envision and execute strategic partnerships e.g., industry associations, universities

• Managing own and team’s BD pipeline - tracking communications, success rates, etc.

• Refine the company outreach strategy jointly with the CEO and Marketing teams based on data on skills, usage patterns, success rates for different types of roles and organisations