Data and Machine Learning (ML) Engineer - (Wellness & Health Tech)

Company Description

VIWELL is a wellness-focused digital platform designed to improve employee well-being, engagement, and productivity while empowering business leaders with actionable insights. With a robust dashboard, VIWELL delivers real-time analytics to craft strategic well-being initiatives. Through an intuitive employee app, the platform enables engagement with events, rewards, gamification, and personalized wellness plans, complemented by resources like the Employee Assistance Program (EAP). By addressing the health needs of both employers and employees, VIWELL bridges the gap between individual well-being and organizational success.

Role Overview

TheData & Machine Learning (ML) Engineerwill play a key role in enabling VIWELL's next-generation personalization and intelligent recommendation systems. The ideal candidate brings strong experience indata engineering, applied machine learning, and safe AI practices, preferably within digital product environments and fast-paced or startup settings.

This role requires a mix of hands-on engineering capability, analytical depth, and safety-driven mindset. The Data & ML Engineer will work closely with Product, Backend Engineering, Analytics, and AI Leadership to deliverhigh-quality events, features, eligibility rules, ranking logic, and safe GPT rewritesthat enhance user engagement and personalization across VIWELL's ecosystem.

The role directly supports VIWELL's mission of scaling to millions of users through intelligent, privacy-preserving, and high-performance data and ML systems.

Key Responsibilities

Define event schemas and data contractsin collaboration with Product and Analytics to ensure high-quality tracking and feature availability.

Engineer and maintain data featuresin Databricks with robust quality checks, lineage documentation, and automated orchestration.

Design and implement eligibility rules and ranking logicto power deterministic, safe personalization and recommendations.

Build guardrails and validation systemsincluding blocklists, allowlists, rewrite validators, and pseudonymization frameworks for safe GPT-assisted rewrites.

Design A/B experiments, exposure logging, and statistical frameworks with power analysis to support iterative product improvements.

Integrate ML and personalization systemswith backend APIs, ensuring optimized response times below 300 milliseconds.

Collaborate with cross-functional teams to ensure clarity, alignment, and seamless execution of data and ML solutions.

Stay informed on evolving AI safety principles, data quality standards, and best practices in ML engineering.

Continuously improve feature pipelines, data freshness, ranking performance, and validation accuracy.

Qualifications & Experience

Bachelor's or master'sdegree in computer science, Engineering, Data Science, Machine Learning, or related technical field.

57 years of experiencein data engineering, machine learning engineering, or applied ML roles.

Hands-on experience withPython, SQL, Databricks, MLflow, and modern data engineering tooling.

Experience withdbtor similar transformation frameworks and strong understanding of data contracts and quality checks.

Proven experience designingML ranking systems, eligibility rules, or recommendation logicwith a safety-first mindset.

Familiarity withA/B testing, statistical experimentation, and product analytics.

Exposure toprivacy-by-design, pseudonymization, and security best practices in data workflows.

Ability to thrive in a fast-paced environment and manage multiple concurrent priorities.

Excellent communication, problem-solving, and stakeholder management skills.

Key Competencies

Data Engineering & Pipeline Reliability

Applied Machine Learning for Ranking & Personalization

AI Safety & Guardrail Thinking

Experimentation Design & Analytics Literacy

Privacy by Design & Data Security Awareness

Cross-Functional Collaboration

Technical Problem-Solving & Root Cause Analysis

High Accountability & Ownership

What We Offer

Competitive salary package based on experience.

Opportunity to build impactful, safety-focused AI and ML systems used by millions of users

Collaborative, innovation-driven, and mission-led work culture.

Career growth opportunities within the fast-evolving AI, wellness, and technology landscape.

Location: India (Hybrid) applicants must be based in India.

How to Apply:

If you meet the criteria and are ready to be part of a purpose-driven company, send your CV to: [Confidential Information]

Join us and help transform well-being across the region!

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