Generative AI Engineer Specialist in Deep Learning

Position Title : LLM - Lua Developer

Experience : 3+ Years

Opportunity : Full-time (40 hours/week) with a 5-hour PST overlap.

About the Role :

A NASDAQ-listed company is seeking a skilled Lua Developer to enhance AI-powered tools for the mobile coding ecosystem. The role involves developing next-gen coding assistants for various applications in a fast-paced environment.

Required Skills:

• 3+ Years of experience in Lua development.
• Strong knowledge of Lua and software development best practices.
• Experience with Git and version control systems.
• Problem-solving skills with attention to detail.
• Good communication and teamwork abilities.
• Experience using LLMs/AI for coding.

Nice to Have :

• Experience with game development, embedded systems, ML, or DevOps.
• Knowledge of C, C++.

DailyObjects is a design-led, “Make in India” lifestyle and tech-accessory brand creating products that combine aesthetic craftsmanship, thoughtful design, and everyday functionality. We design across categories including bags, wallets, and tech accessories, and are redefining what modern Indian design stands for. We’re now looking for a Bag Designer to join our growing design team and create innovative, functional, and visually striking bags that align with the DailyObjects design ethos.

Role:

As a Bag Designer at DailyObjects, you’ll be responsible for conceptualizing and developing bag collections across categories — from everyday carry and travel to lifestyle accessories. You’ll collaborate closely with production and merchandising teams to translate creative ideas into market ready products that reflect our brand’s design language.

Key Responsibilities:

1) Conceptualize and design new bag collections aligned with brand identity and market trends.

2) Develop sketches, technical drawings, and prototypes with detailed specifications for materials, trims, and construction.

3) Research and forecast fashion, lifestyle, and functional trends in bags and accessories.

4) Work closely with sourcing, sampling, and production teams to ensure design feasibility and quality execution.

5) Create mood boards, color stories, and material boards for seasonal collections.

6) Collaborate with the marketing and retail teams to align product storytelling with design intent.

7) Manage multiple design projects, ensuring timely delivery from concept to sample approval.

8) Stay up to date with emerging D2C, lifestyle, and travel accessory trends to bring innovation into the product range.

Skills & Experience Required:

1) 3+ years of experience in bag design, preferably with lifestyle or D2C brands.

2) Strong portfolio demonstrating design process, material understanding, and finished product execution.

3) Education from a leading design institute such as NIFT, NID, Srishti, Symbiosis, MIT, IIT Guwahati, UID, or Pearl.

4) Experience with brands like Mokobara, Samsonite, VIP, Nasher Miles, or similar categories is a strong plus.

5) Proficiency in Adobe Illustrator, Photoshop, CorelDRAW, or other design and

rendering tools.

6) Strong sense of form, color, proportion, and utility.

7) Knowledge of bag construction techniques, pattern making, and material sourcing.

8) Excellent collaboration and communication skills, ability to work cross functionally with design, product, and production teams.

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

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

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

Qualification, Experience & Critical Capabilities

• Graduation in Engineering (Preferred Computer Science)/ Post Graduation with 8 years (+) hands on experience working in SAP MDM / MDG.
• Experience in writing User Story/Business Requirement Specification, USDD (User Story Design Document)/Functional/Technical Specifications and understand Devops, Agile methodology/framework.
• Act as a partner to the Business for Business Process Query Incidents, Small Change (Projects), Problem Management and define right solution from Design and Cost perspective by aligning with Chief Architect Group (CAG) as and when needed.
• Coordinates with business users and other IT departments to design, develop, implement, enhance and maintain complex solutions.
• Be able to support and challenge the Partners (Vendors) on quotation of Change efforts, Fulfill the role of a SME (subject matter expert), Oversee and support the development of the solution, Validate the functionality as per business needs, support testing (IST & UAT) and User training.
• Experience in collaboration with different domains (functions) within Syngenta and third-party Partners (Vendors).

Relevant Experience

• 8 years (+) experience working as SAP MDM / MDG Functional Analyst.
• Should have worked on implementation of MDM.
• Good to have: Exposure to migration of SAP MDM to MDG.

MDM:

• Experience in MDM configuration.
• Experience in Integrating business process requirements with the technical implementation of SAP Master Data Management / Governance.
• Set up Validation (Business) rules, Workflow process, Import/Syndication Maps.
• Setup and use of MDM Transport Management.
• Design understanding of material / products master repository architecture.
• Experience working on SAP MDM Production Support and New Enhancements.
• Knowledge of handling MDM integration with different systems. Ex MDM <> ECC, SFDC etc.
• Understanding the Business problem and the different Master data used in the Organization (say if its Material Master/Customer/Vendor/Finance Master data etc.).
• Develops and implements strategies to translate business requirements and models into feasible and acceptable designs to ensure that business needs are met.
• Once the understanding phase is done Functional Analyst will have to work with vendor to provide a Solution through SAP MDM and then design and Implement the solution end to end.
• Strong hands on experience in MDM Console, Data Manager, Import Manager, Syndicator, Workflow, Data modeling, Standardization, Cleansing and SAP ECC.
• Consultant should try to wider there view for all the different platforms that are used with MDM such as Netweaver , XI, ABAP etc.
• Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.

MDG:

• Configuration exposure with MDG product / material data objects.
• Experience in UI modelling (Design and Creation of UI, Value restriction and Derivation rules).
• Understanding and familiarity with MDG application framework and various governance API's.
• Able to perform MDG configurations and customizations in areas like data modeling, process modeling, key mapping, duplicate checks, validations, replication and MDG error handling.
• Knowledge in activation and configuration of the MDG modules & components.
• Expertise in Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF) via ALE / IDOC, key and value mapping.
• Able to perform MDG Configurations and Customizations in areas like Data Modeling, Process Modeling, Key Mapping, Duplicate checks, validations and MDG error handling experience.

General Experience and Prerequisites 

• Excellent written and verbal communication around issues, managing escalations.
• Experience in client facing and managing outsourced partners.
• A Team player with a collaborative attitude, proactive and ability to work under pressure.
• Good understanding of agile ways of working (DevOps model), knowledge on ITIL processes.
• Knowledge of Lean/ 6 Sigma, Design Thinking, Agile methodology.
• Certification in SAP MDM / MDG preferred.

Roles/Responsibilities:

 Own a team of 15-20 Developers and QAs at various levels

 Provide continuous feedback, training and make sure team is working on their full

    potential at all time

 Review the architecture/design of a product/module/feature and provide feedback

 Architect, design and/or hands-on code the critical portion of a

   product/module/feature

 Mentor the tech-leads on architecting the product to deliver on-time

Jobs Skills required:

 Strong tech background of working in product company

 Understanding of various backend and frontend technologies and its core concepts

 Ability to understand the business problems and solve it with innovative tech

    solutions

 Very strong analytical and problem-solving skills in super changing environment

Desired Candidate Profile

• Post graduate degree in relevant field
• 5-6 years of relevant experience
• Experience in social media and content marketing
• Sound knowledge of Wordpress and social media platforms
• Strong SEO skills
• Prior startup and B2B experience are preferred
• Excellent team player with great communication skills