AI Jobs

Experience Requirements:

• 2-4 years

Experience Requirements:

• 3-6 Years

• 3 - 5 years of experience as a Data analyst or equivalent role.

• Good experience in Python, with hands-on experience using Pandas for data analysis and manipulation.

• Expertise in analytical SQL, including writing complex queries for data extraction, aggregation, and transformation.

• Knowledge of cloud platforms, particularly AWS (Amazon Web Services).

Other Requirements:

• Strong analytical thinking, problem-solving, and troubleshooting abilities.

• Excellent communication skills, with the ability to explain complex data insights in a clear and actionable manner.

• Detail-oriented with a focus on data quality and accuracy.

Responsibilities:

• Utilize Python (specifically Pandas) to clean, transform, and analyze data, automate repetitive tasks, and create custom reports and visualizations.

• Analyze and interpret complex datasets, deriving actionable insights to support business decisions.

• Write and optimize advanced SQL queries for data extraction, manipulation, and analysis from various sources, including relational databases and cloud-based data storage.

• Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions.

• Create and maintain dashboards and reports that visualize key metrics and performance indicators.

Experience Requirements:

• 8-10 years

• Over 4 years of experience managing infrastructure on AWS Cloud, handling deployments, writing CloudFormation templates and Terraform scripts, and strong exposure to a wide range of AWS services.

• Prior experience working in 24×7 operational environments.

Other Requirements:

• Strong work ethic, self-starter mentality, ability to work in a fast-paced, team-oriented environment, and comfort in collaborating with a global team.

• Good understanding of running cost-optimized infrastructure in cloud environments.

• Ability to build scripts and automated solutions using scripting languages such as Shell scripting (Bash), Python, YAML, or others.

• Solid understanding of operating systems, preferably Linux.

• Exceptional analytical and problem-solving skills, with strong oral and written communication abilities.

• Proven proficiency in troubleshooting, root cause analysis, application design, cost optimization, and implementing complex solutions for large-scale projects.

• Experience in building tools to automate production support activities, enhancing the efficiency and productivity of service desk and operations teams.

• Strong understanding and knowledge of observability tools.

• AWS Solutions Architect – Associate / Network speciality

Responsibilities:

• Handle day-to-day technical queries and implementations for end customers, mostly related to AWS infrastructure.

• Effectively handle P0/P1 issues for end customers, involving troubleshooting and providing on-the-fly solutions as per the defined SLAs.

• Conduct advanced Proof of Concepts (POCs) for native AWS service to help customers implement the desired setup.

• Foster an inclusive, innovative, and collaborative team environment.

• Build strong relationships with key stakeholders, including clients across the globe.

Experience Requirements:

• Minimum of 4 years experience in software quality assurance with a strong focus on automation testing.

Responsibilities:

• Develop and execute automated tests to ensure product quality.

• Design and implement testing tools and frameworks to automate test processes.

• Enhance and maintain excellent test coverage throughout the software development lifecycle.

• Collaborate with development teams to understand new features and create appropriate testing strategies.

• Report, track, and manage any discovered defects.

Benefits:

• Internship Opportunities

• Hands-on Experience

• Mentorship

• Career Growth

• Innovation

Benefits:

• Internship Opportunities

• Hands-on Experience

• Mentorship

• Career Growth

• Innovation

Benefits:

• Internship Opportunities

• Hands-on Experience

• Mentorship

• Career Growth

• Innovation

Experience Requirements:

• 5-8 years

Responsibilities:

• Develop and maintain NLP models for real-time applications such as Chabot’s, virtual assistants, sentiment analysis, and other AI-driven projects

• Collaborate with data scientists and AI engineers to design and implement efficient solutions for processing large-scale datasets

• Write clean, scalable, and efficient Python code to develop AI modules and integrate them with existing applications

Education Requirements:

• Graduate in IT or Computer Science

Experience Requirements:

• 7-to-10 years in CPaaS or related industry

Responsibilities:

• Product Documentation

• API Documentation

• Pre-Sales Support

• Customer Engagement

• Solution Proposals

Education Requirements:

• Graduate in IT or Computer Science

Experience Requirements:

• 10+ years in CPaaS or related industry

Responsibilities:

• AI Product Development

• Market Research & Analysis

• Requirement Gathering

• Competitive Analysis

• Data-Driven Insights

Education Requirements:

• Graduate/ Master’s in Computer Science

Experience Requirements:

• 6+ years

Other Requirements:

• Good to have experience in Telecom/Financial Domain

Responsibilities:

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback

• Create detailed, comprehensive and well-structured test plans and test cases

• Estimate, prioritize, plan and coordinate testing activities

• Design, develop and execute automation scripts using open source tools

• Identify, record, document thoroughly and track bugs

Education Requirements:

• Graduate/ Master’s in Computer Science

Experience Requirements:

• 1 – 5 years

Responsibilities:

• Write “clean”, well-designed code

• Produce detailed specifications

• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

• Contribute in all phases of the development lifecycle

• Follow industry best practices