Customer Support Specialist

Position: Lead Database Engineer

Experience: 3+ Years

Mandatory Skills: Amazon Aurora PostgreSQL, MySQL, NoSQL, AWS RDS, DMS, Performance Tuning, Replication Strategies, Query Optimization

Job Description:

• Database Administration: Manage and administer Amazon Aurora PostgreSQL, MySQL, and NoSQL databases, ensuring high availability, performance, and security.
• AWS Expertise: Proficient in AWS services such as RDS, Aurora, and DMS, with a strong understanding of cloud database architectures.
• Optimization: Implement optimization strategies at the database, query, collection, and table levels for PostgreSQL/MySQL. Expertise in performance monitoring and tuning.
• Configuration Management: Configure and fine-tune RDS parameter groups to enhance database performance and security.
• Monitoring & Troubleshooting: Proactively monitor database performance, identify bottlenecks, and perform root cause analysis (RCA) for issues.
• Access Control: Manage PostgreSQL/MySQL user permissions and roles, ensuring strict data security and access control protocols.
• Replication Strategies: Hands-on experience with master-master and master-slave replication setups.
• Collaboration: Work closely with development teams to provide guidance on database design, query optimization, and performance tuning.
• Backup & Recovery: Establish and maintain robust backup and recovery procedures to ensure data integrity and availability.
• Database Upgrades: Perform major version upgrades for MySQL and PostgreSQL to leverage new features and improvements.
• Problem Solving: Troubleshoot and resolve complex database performance issues, implementing innovative and effective solutions.

Note: Expertise in database performance tuning, AWS database services, and advanced replication strategies is essential.

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/.

Role Overview:

As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

Key Responsibilities:

• Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
• Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
• Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
• Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
• End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
• Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
• Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
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Required Skills and Qualifications

• Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
• Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
• Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
• Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
• Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
• Experience with containerization technologies, specifically Docker.
• Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications

• A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
• Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
• Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
• Proven ability to lead technical teams and mentor other engineers.
• Experience developing custom tools or packages for data science workflows.

Job description

We are seeking a dynamic and results-driven Sales and Marketing Executive to join our team. The ideal candidate will be responsible for converting leads into successful sales, developing and executing marketing strategies for products and services, and maintaining strong relationships with clients—particularly in the Middle East region.

Experience working with Middle East clients is mandatory.

Key Responsibilities:

Lead Conversion:

• Identify, qualify, and convert potential leads into paying customers.
• Follow up on inquiries, prepare proposals, and close deals efficiently.
• Maintain accurate records of sales activities and client interactions in CRM

Client Relationship Management:

• Build and nurture strong relationships with existing and potential clients in the Middle East.
• Understand client needs and tailor solutions to meet business objectives.
• Act as the point of contact for client queries and support.

Reporting & Analysis:

• Track marketing and sales performance metrics.
• Provide regular reports to management with insights and recommendations for improvement.

Key Requirements:

• Proven experience in sales and marketing, with a track record of successful lead conversions.
• Mandatory experience working with Middle East clients (UAE, Saudi Arabia, Qatar, etc.).
• Strong understanding of marketing strategies
• Excellent communication, negotiation, and presentation skills.
• Ability to work independently and manage multiple projects.
• Proficiency in CRM tools and Microsoft Office Suite.

Job Title -Data Scientist

Job Duties

1. Data Scientist responsibilities includes planning projects and building analytics models.
2. You should have a strong problem-solving ability and a knack for statistical analysis.
3. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

Responsibilities

Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.

Design, experiment and evaluate highly innovative models for predictive learning

Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations

Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

Research and implement novel machine learning and statistical approaches.

Requirements

2-5 years of experience in data science.

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

Strong programming skills (Python, Java)

High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, NLP

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

Job Responsibilities: 

• Technically sound in Dot Net technology. Good working knowledge & experience in Web API and SQL Server
• Should be able to carry out requirement analysis, design, coding unit testing and support to fix defects reported during QA, UAT phases and at GO Live times.
• Able to work alone or as part of a team with minimal or no supervision from Delivery leads.
• Good experience required in Azure stack of integration technology-Logic app, Azure Function, APIM and Application insights.

Must have skill 

• Strong Web API development using ASP.Net Core, Logic app, azure functions, APIM
• Azure Functions
• Azure Logic App
• Azure APIM
• Azure ServiceBus

Desirable Skills 

• Azure Event Grid/Hub
• Azure KeyVault
• Azure SQL – Knowledge on SQL query

4+ years of experience in Test Automation using Selenium and C# with SpecFlow

• Selenium Experience: Minimum 3 Years
• C# with SpecFlow Experience: Minimum 2 Years

Job Description

• 4+ years of experience in Test Automation using Selenium and C# with SpecFlow
• Understanding and Analyzing the Application Under Test in terms of Object Identification.
• Creating Test Scenarios and Collecting Test Data.
• Identifying end-to-end scenarios and code modularity.
• Analyzing Test Results and Reporting Defects
• Tracking Defects and Select Test Cases for Re & Regression Testing.
• Creating, Organizing, and Managing Test Automation Resources (Scripts & Function Libraries etc.)
• Error handlings
• Co-coordinating Test team members and Development team to resolve the issues.
• Working experience on Azure DevOps

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.