Webtiga Private limited

We are looking for a highly skilled 3D Character Artist with rigging expertise to join our team. The ideal candidate should be proficient in creating characters from scratch and rigging them for Unity and Unreal Engine. The role requires a keen eye for detail and a passion for bringing characters to life.

Responsibilities:

• Create 3D characters from concept art or references, adhering to project specifications and style
• Design and implement realistic or stylized facial expressions using blend shapes and rigging techniques
• Create efficient and optimized character rigs for animation, including skinning and weight painting
• Collaborate with the art and animation team to ensure consistency of character design and quality across all assets
• Troubleshoot and fix technical issues related to rigging, animation, and integration into game engines
• Stay up-to-date with industry trends and techniques, continuously improving skills and workflows

Requirements:

• Proficiency in 3D modeling and texturing using software such as Maya, 3ds Max, or and any major 3D softwares.
• Strong knowledge of character rigging techniques, including skinning, weight painting, and blend shapes
• Experience in creating characters for Unity and Unreal Engine, and knowledge of their respective pipelines and limitations
• Understanding of human anatomy, facial expressions, and body mechanics
• Excellent communication and collaboration skills, ability to work effectively in a team environment
• Strong problem-solving skills and attention to detail
• A portfolio demonstrating high-quality character modeling, rigging, and animation work

If you are passionate about creating engaging and realistic characters for games and have the required skills and experience, we encourage you to apply for this exciting opportunity. We offer competitive salary, benefits, and a dynamic work environment.

We are looking for an AI Architect to join our team.

Responsibilities

• Architecture Design: Develop scalable and efficient AI architectures.
• Technical Guidance: Provide expertise and guidance to development teams.
• System Integration: Collaborate to integrate AI technologies into systems.
• Performance Optimization: Optimize AI models and infrastructure.
• Data Management: Manage large datasets for AI training.
• Ethical Considerations: Address ethical and privacy concerns.
• Technical Documentation: Create comprehensive technical documentation.
• Collaboration and Communication: Collaborate with stakeholders.
• Problem-Solving: Analyze and troubleshoot technical issues.
• Continuous Learning: Stay updated with AI advancements.

Requirements

• Education: Bachelors or masters degree in computer science or related field.
• Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
• Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
• Architectural Design: Ability to design scalable and efficient AI architectures.
• System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
• Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
• Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
• Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
• Collaboration and Communication: Strong teamwork and communication skills.
• Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
• Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.

This position is responsible for overseeing the testing of software features as part of a collaborative team. This role is responsible for leading quality review of various applications and includes creating test plans and strategy, test cases in partnership with developers, business analysts, and project managers which are used to shape and verify code and check conformance to system requirements. The role relies upon test automation and manual testing tools. The person is to assist in defining QA coding standards and frameworks, and for identifying emerging technologies and evaluating their applicability to the clients business goals.

Responsibilities:

• Review client requirement and provides feedback
• Responsible for creating test plans and strategy
• Reviews and re-evaluates the test strategy to adjust for new information, changing risks, shifting priorities and schedules
• Oversees projects to make sure work is scheduled based on priorities, features, risks, and team strengths and assignment of resources across projects
• Oversees implementation and execution of functional, regression, and acceptance tests
• Assists in test environment setup/teardown, test automation, and exploratory testing
• Oversees the creation and maintenance of test data and test documentation
• Provides suitable solutions for issues/errors based on the understanding of the system and client business processes
• Leads/mentors Test Engineers and shares knowledge to make sure QA staff meets technical qualifications required for their positions. Assists in coaching junior staff, by helping them to make decisions, solve problems, manage meetings and set goals, provide feedback on testing-related tasks, delegates and assigns testing responsibilities
• Assists Manager in setting the direction for quality assurance within the organization
• Assists in recruiting new staff, conducting interviews, and evaluate potential candidates Qualifications:
• Experience in testing various applications, services, and user interfaces
• Experience in test automation and creating repeatable, maintainable, automated test suites
• Should have experience in AI projects.
• Experience managing a team of QA Engineers
• Experience in communicating with clients
• Experience in testing gaming projects.
• Understanding of test-driven development
• Understanding of software development lifecycle and best practices
• Understanding of Agile and Waterfall processes
• Strong knowledge of software quality assurance best practices & methodologies
• Familiarity with various defect management systems

Requirements:

• We are looking for someone with 6 - 7 years of overall working experience in the software environment & 2 -3 years of experience in handling the QA Lead Role.
• Experience in Selenium.
• Ability to communicate technical aspects to people with non-IT background.
• Ability to act as a liaison between QA and development teams
• Ability to ensure that solutions developed by technical teams fit the business needs
• Ability to offer alternative approaches to achieve the client goals
• Ability to analyse complex situations and manage all variables to achieve optimal solutions
• Ability to act on the information provided or get information needed so that decisions for project.
• implementations can be made quickly and effectively.
• Ability to motivate teams.
• Ability to define and prioritize short-term and long-term objectives for the teams and make necessary corrections under changing circumstances
• Ability to communicate in English verbally and in writing Education and Work
• Background in CS, IT or related scientific discipline

We are looking for an RPA Developer to join our team.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Proven experience (4 years) as an RPA Developer.

Strong experience with RPA tool such as UiPath, Automation Anywhere, or Blue Prism.

Proficiency in programming languages such as C#, Python, Java, or VBScript.

Familiarity with process analysis, design, and improvement.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills to work effectively within cross-functional teams.

Knowledge of software development best practices and methodologies.

Good understanding of .Net technology stack and Excel Macros.

Experience in Design, Development, Test and Support in line with client needs and architectural requirements.

Hands-on experience in Automating Web interfaces, desktop application interfaces, Citrix interfaces, API, Building Custom codes and Mainframes.

Understanding client requirements and preparing required documents (PDD, SDD, BRD...)

Roles and Responsibilities

Collaborate with business analysts, process owners, and project managers to gather requirements and understand business processes for automation.

Design, develop, test, and deploy RPA solutions using industry-standard RPA tools such as UiPath, Automation Anywhere, or Blue Prism.

Analyze, optimize, and document existing business processes for automation feasibility and improvement opportunities.

Develop automation workflows, scripts, and routines that are efficient, reliable, and maintainable.

Implement error handling and exception handling mechanisms to ensure the robustness of automation solutions.

Collaborate with QA teams to ensure the quality of the developed automation solutions.

Provide technical support and troubleshooting for deployed automation solutions.

We are looking for a DevOps Lead to join our team.

Responsibilities

• A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment

Operations (Ops)

• Identity manual processes and automate them using various DevOps automation tools

• Maintain the organization’s growing cloud infrastructure

• Monitor and maintain DevOps environment stability

• Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues

• Orchestrating builds and test setups using Docker and Kubernetes.

• Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability

• Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences

Requirements

• Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.

• Candidate should have experience in ELK stack, Kubernetes, and Docker.

• Solid experience in the AWS environment.

• Should have experience in monitoring tools like DataDog or Newrelic.

• Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.

• Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.

• The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.

• Candidates should demonstrate knowledge in handling distributed data systems.

Examples: Elastisearch, Cassandra, Hadoop, and others.

• Should have experience in GitLab- CIRoles and Responsibilities

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Responsibilities:

·      Search, design, develop, and test blockchain technologies.

·      Brainstorm and help evaluate applications for new tools and

technologies as they continually evolve.

·      Maintain and extend current client- and server-side applications

responsible for integration and business logic

·      Be involved in the global blockchain community—work on

implementing and integrating the latest improvement proposals.

·  Document new solutions as well as maintain that of existing ones. 

Requirements:

·      Total 3 Years of experience required,Ethereum, Blockchain

·      Knowledge in any one of the programming languages: NodeJS,

Java, GoLang,C, C++,PHP

·      Basic understanding of blockchain technology: Bitcoin, Smart

Contracts, Solidity, Cryptography

·Knowledge in private blockchains such as Hyper Ledger, Corda is

a plus

· Basic understanding of HTML, CSS, JS, Bootstrap and knowledge

in front-end technologies such as Angular/ React/ Vue is a plus.

·      Knowledge in databases and database modelling: MySQL,

PostgreSQL, MongoDB

·      Understanding of Software Development Lifecycle (SDLC)

·      Experience using Git for version control

Responsibilities

• Product Strategy: Develop and communicate product vision, strategy, and roadmap.
• Requirement Gathering: Identify and prioritize product requirements through user research.
• Project Planning and Management: Define project goals, milestones, and manage timelines.
• Data Management: Oversee data collection, storage, and quality assurance.
• Machine Learning Models: Collaborate on AI algorithm development and model training.
• User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
• Product Launch and Adoption: Plan and execute successful product launches.
• Performance Monitoring and Improvement: Track metrics and propose enhancements.
• Stakeholder Communication: Facilitate communication between technical and non-technical teams.
• Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.

Requirements

• Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
• Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
• Product Management Experience: Previous experience in product management or related roles.
• AI Domain Expertise: Proficiency in AI applications and ethical considerations.
• Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
• Communication and Collaboration: Excellent interpersonal and communication skills.
• Leadership and Project Management: Strong leadership and project management abilities.
• User-Centric Mindset: Understanding of user needs and usability testing skills.
• Business Acumen: Knowledge of business principles and market dynamics.
• Adaptability and Learning Agility: Openness to new technologies and continuous learning.