Digital Marketing Ninja

About the Role:

We are seeking a highly skilled and motivated individual to join our development team. The ideal candidate will have extensive experience with Node.js, AWS, and MongoDB, and a strong pro-activeness and ownership mindset.

Technical Expertise:

• Architect, design, and develop scalable and efficient backend services using Node.js (Nest.js).
• Design and manage cloud-based infrastructure on AWS, including EC2, ECS, RDS, Lambda, and other services.
• Work with MongoDB to design, implement, and maintain high-performance database solutions.
• Leverage Kafka, Docker and serverless technologies like SST to streamline deployments and infrastructure management.
• Optimize application performance and scalability across the stack.
• Ensure security and compliance standards are met across all development and deployment processes.

Bonus Points:

• Experience with other backend languages like Python and worked on Agentic AI
• Security knowledge and best practices.

We are building VALLI AI SecurePay, an AI-powered fintech and cybersecurity platform focused on fraud detection and transaction risk scoring.

We are looking for an AI / Machine Learning Engineer with strong AWS experience to design, develop, and deploy ML models in a cloud-native environment.

Responsibilities:

- Build ML models for fraud detection and anomaly detection

- Work with transactional and behavioral data

- Deploy models on AWS (S3, SageMaker, EC2/Lambda)

- Build data pipelines and inference workflows

- Integrate ML models with backend APIs

Requirements:

- Strong Python and Machine Learning experience

- Hands-on AWS experience

- Experience deploying ML models in production

- Ability to work independently in a remote setup

Job Type: Contract / Freelance  

Duration: 3–6 months (extendable)  

Location: Remote (India)

Profiles

Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior

Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research

Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements

Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation

Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology

Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness

Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams

Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role

Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)

Candidates from institutes with strong behavioral research exposure are preferred

Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms

Mandatory (Note 1):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights

Mandatory (Note)—Profiles without proper prospect question detail will not be considered for further evaluation. Recruiters must connect directly with the candidate before submission.

• Designing and building the WordPress website front-end
• Creating the website architecture
• Designing and managing the website back-end including database and server integration
• Creating landing pages 
• Generating WordPress themes and plugins
• Conducting website performance tests
• Troubleshooting content issues
• Monitoring the performance of the live website and improving it
• Work on SEO and Optimise continuously for website using Google Analytics
• Assist in Social Media Management and Email Marketing
• Stay updated with latest web technologies, SEO Tools and Website optimising tools and widgetss
• Managing Social Media Management Tools