Network Engineer

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.

Job Overview:

We are seeking a skilled Senior Python Full Stack Developer with a strong background in application architecture and design. The ideal candidate will be proficient in Python, with extensive experience in web frameworks such as Django or Flask along with front-end technologies like HTML, CSS and JavaScript. You'll play a key role in designing scalable applications, collaborating with cross-functional teams, and leveraging cloud technologies.

Key Responsibilities:

• Design, develop, and maintain robust web applications using Python and frameworks like Django or Flask.
• Collaborate with product managers and designers to define application architecture and ensure scalability and performance.
• Implement responsive user interfaces using HTML, CSS, and JavaScript.
• Utilize AWS cloud services to deploy and manage applications effectively.
• Containerize applications using Docker and orchestrate them with Kubernetes.
• Ensure seamless communication with databases, optimizing queries and data models as necessary.
• Write clean, maintainable, and efficient code, adhering to best practices.
• Conduct code reviews and mentor junior developers.
• Troubleshoot and resolve application issues in a timely manner.
• Stay updated with emerging technologies and industry trends.

Qualifications:

• Proven experience in Python development (5+ years preferred).
• Strong application architecture and design skills.
• Proficiency in Django or Flask frameworks.
• Hands-on experience in front-end technologies: HTML, CSS, and JavaScript.
• Hands-on experience with AWS cloud services (EC2, S3, RDS, etc.).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Proficiency of database communication, including SQL and NoSQL databases.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
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NOTE: IT IS MANDATORY TO GIVE ONE TECHNICHAL ROUND FACE TO FACE.

About the Position:

The Professional Services Consultant (Developer/Team Lead) will be a technical leader accountable for gathering customer requirements, delivering best practice, and executing customer implementation projects while driving new revenue through identifying new opportunities and user adoption. The position also requires providing technical guidance and sharing best practices with the team.

Responsibilities:

• Lead and execute the technical implementation of projects to ensure successful customer deployment and adoption of Egnyte solutions
• Act as liaison between customers and internal teams such as Engineering, Product Management and Technical Support to solve technical problems and propose new feature development
• Engage multiple constituents at the customer organization – Business users and IT
• Ability to multi-task and manage multiple projects with strict deadlines
• Communicate professionally and succinctly and follow Standard Operating Procedures (SOP).
• Reports to Professional Services Director

Qualifications:

• Strong software programming skills that cover four or more of the following areas:
• Experience with various Integrated Development environments (IDE)
• Experience with software repositories
• Programming experience (Python, Javascript, SQL, Bash, PowerShell preferred)
• Full stack web development and app integrations
• Desktop App Development
• Strong application development skills
• Use of SDK platform tools for API integration
• Prior experience developing and implementing Enterprise software or supporting Enterprise applications in technical capacity for a SaaS environment
• Strong experience in Customer Facing Implementation roles
• Excellent customer engagement, presentation, and communication skills
• Attention to detail and adapt to process in a quick changing environment
• Fluency of spoken and written command of English. Any other language is a plus.
• Experience with Governance and Life Sciences industry preferred
• Engagement with pre-sales activities, scoping requirements, Proof of Concept (POC) and product demos.
• Bachelor’s degree in Computer Science or related technical discipline preferred
• 8+ years of relevant technical function experience

• You would be responsible for Developing SQL Databases, automation of business reports and Developing Business Dashboard using BI Tools.
• Development of high quality database solutions 
• Create complex functions, scripts, stored procedures and triggers to support application development.  
• Develop, implement and optimize stored procedures and functions using T-SQL
• Review and interpret ongoing business report requirements
• Build appropriate and useful reporting deliverables
• Analyze existing SQL queries for performance improvements
• Fix any issues related to database performance and provide corrective measures.  
• MIS Automation
• Provide timely scheduled management reporting
• Create Business dashboard using Tableau BI Tool

Requirement / Desired Skills:

• 5+ years of business Analyst / SQL developer experience in Fintech,internet,consulting etc industry
• Excellent understanding of T-SQL programming
• Excellent understanding of Microsoft SQL Server 
• Good knowledge of HTML and JavaScript 
• SQL Server Reporting Services and SQL Server Analysis Services
• Knowledge of any of the BI Tool (Tableau, PowerBI or Qlikview)