QA Automtion

Job Title:

Jewelry Product Development – AI Design Specialist

Location:

Indore

About the Role:

We are seeking a creative and tech-savvy Jewelry Product Development Specialist who can leverage Artificial Intelligence to study existing jewelry collections, identify emerging design trends, and generate AI-inspired jewelry concepts for the U.S. jewelry market.

Key Responsibilities:

• AI-Driven Design Creation: Use AI tools to generate jewelry design inspirations based on existing styles, trend boards, or collection themes.
• Prompt Engineering: Write precise, creative, and visually descriptive AI prompts to generate high-quality jewelry design outputs.
• Design Analysis: Study and analyze existing jewelry collections (both ASHI and competitors) to identify design patterns, motifs, and market opportunities specific to the U.S. market.
• Concept Development: Develop new design ideas inspired by existing styles — maintaining balance between innovation and brand consistency.
• Trend Research: Keep track of current jewelry design trends, color palettes, and fashion influences relevant to the U.S. jewelry industry to integrate them into new design concepts.
• Manufacturing Support: Coordinate with CAD, 3D modeling, and production teams to translate AI-generated concepts into manufacturable designs.
• Documentation: Maintain structured folders for AI-generated outputs, including prompts, reference images, and design rationales.

Required Skills & Qualifications:

• Strong understanding of jewelry design, aesthetics, and product development process.
• Experience using AI image generation platforms.
• Excellent prompt writing skills — capable of translating creative ideas into AI-readable instructions.
• Basic understanding of CAD design or 3D jewelry modeling is a plus.
• Good sense of design proportion, stone placement, and material combinations.
• Ability to balance creativity with commercial viability and production constraints.
• Strong visual sense and familiarity with market-specific jewelry styles ‘
• Excellent communication and documentation skills.

Preferred Qualifications:

• Prior experience in jewelry design, fashion design, or digital product development.
• Exposure to AI-powered design workflows or generative art.

Key Traits:

• Creative thinker with technical adaptability.
• Keen eye for detail and luxury aesthetics.

Collaborative mindset — eager to work closely with design, CAD, and AI teams.

JOB DESCRIPTION:. THE IDEAL CANDIDATE WILL:

• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.

• Providing technical leadership to large enterprise scale projects. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project Roles & Responsibilities.

ELIGIBILITY CRITERIA: Desired Experience/Skills:
• Must have total 5+ yrs. in IT and 2+ years' experience working as a snowflake Data Architect and 4+ years in Data warehouse, ETL, BI projects.
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.

• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS)
• Certified Snowflake cloud data warehouse Architect (Desirable)
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication

Nice to have Skills/Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.
• Strong communication, analytical and problem-solving skills with a high attention to detail.

About you:
• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality

- Hands-on experience in developing User Interfaces (more than 4 years) using Angular 4+.

- Hands-on experience of using reactive frameworks like Redux, NgRX.

- Strong understanding of using UI testing frameworks like Jasmine, Mocha.

- Focus on building reusable components by employing Design patterns.

- Ability to remote diagnose user issues (With or without tools).

- Strong understanding of Object-oriented concepts.

- Ability to suggest alternative solutions for micro-level problems considering the environment constraints.

- Ability to diagnose development issues independently.

- Self-motivated learner.