Adobe Experience Platform – Technical Consultant

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

Responsibilities

• Lead consultative engagements with clients, exploring their technical and business challenges. This will include delivering workshops, presenting solution overviews and providing benefits analysis of software features and developments
• Provide consulting services to aid the implementation, adoption, operation and expansion of Adobe Campaign at client organisations
• Provide Implementation consultancy, Customer Assistance and post-implementation support to Adobe Campaign clients in their deployment and use of Adobe Campaign solution. Specifically (but not limited to):

o             Work with Clients to assess requirements

o             Configure & Design Adobe Campaign to meet customer business needs by understanding their database architecture and setting-up ETL and data-flows

o             Configure the Adobe Campaign solution to customers’ requirement including Campaigns set-ups, building web pages using Scripting

o             Develop customer specific solutions where necessary and document them

o             Proactive problem diagnosis, troubleshooting and resolution

• Create Implementation plans for new and existing clients
• Creation of accurate estimates and quotations for Adobe Campaign Consulting services
• Creation and maintenance of relevant documentation including requirements, functional and technical specs that define and support the solution
• Ownership of the technology solution from estimation and design through to delivery, acceptance and operation
• Knowledge transfer/Training to customers on solution implemented
• Product Upgrades and Configuration activities
• Reporting on project delivery to Project Management and Manage projects on your own in smaller projects which don’t have dedicated Project Managers
• Build great working relationship with Onshore Consulting team,  Learn and Adopt best-practices from such teams globally
• Work closely with the Quality Assurance team to ensure professional delivery of technical implementations

Location: Indore

Position: Full Stack Developer Intern

Type: Unpaid Internship

Duration: 3–6 Months

🎯 Role Overview

We are looking for enthusiastic and passionate Full Stack Developer Interns who are eager to learn, build real-world projects, and gain hands-on experience in a professional environment.

✅ Key Responsibilities

• Assist in developing web applications (Frontend + Backend)
• Work with technologies like React.js, Node.js, MongoDB, Express.js
• Develop and integrate APIs
• Debug, test, and optimize code
• Collaborate with the development team on live projects
• Follow best coding practices

🎯 Requirements

✔ Basic knowledge of HTML, CSS, JavaScript

✔ Understanding of MERN Stack (React, Node, MongoDB, Express)

✔ Interest in Backend / Frontend development

✔ Willingness to learn and adapt quickly

✔ Fluent communication skills

✔ Immediate joiners preferred

💡 Preferred Skills

✔ Knowledge of Git/GitHub

✔ Basic understanding of APIs & databases

✔ Exposure to CI/CD or DevOps (bonus)

🎓 Eligibility

• B.Tech / BCA / MCA / Any Graduate (IT background preferred)
• Freshers & Students can apply

🎁 What You Will Gain

• Hands-on experience on live projects
• Real industry exposure
• Certificate of Internship
• Opportunity for full-time role based on performance

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

About Company

Our client is a brand co-creation platform that transforms powerful ideas into authentic, profitable, and experience-led brands that can define the future of brands in key consumption categories like fashion and lifestyle; food and FMCG, home and decor and beauty and wellness. They are a team of experienced entrepreneurs, marquee investors, and industry professionals who have expertise and experience in building some of the most popular brands in the country. They partner with passionate entrepreneurs to combine their collective learning and experience with data science, digital ethnography, and technology. platforms to build brands that connect to the new generation of Indian consumers.

What you’ll be doing

• Work with brand entrepreneurs to create and implement a forward looking product strategy. Influence technology choices and business strategy in creating multiple D2C brands across Food, Fashion, Home, Beauty and more simultaneously.

• Convert brand proposition into digital user experiences covering pre and post purchase journeys across channels such as D2C, Social Media, Whatsapp, Marketplaces and Metaverse by understanding business economics of brands in their first 1000 days.

• Raise the bar on customer empathy & quality of what we deliver, work with small & high performance teams to build products, managing a fast-paced agile delivery model.

• Analyse macro trends on user behaviour and adoption, predict technology shifts to identify innovative (sometimes first to market) product features and work with multiple tech startups to drive metrics and time to market.

• Talk the data language and drive a working environment fostering data driven decision making while running experiments, identifying gaps and prioritization.

Requirements

• Entrepreneurial mindset with acute understanding of product market fit for every brand with ability to decide when to scale or sunset experiments/initiatives.

• Demonstrated ability to think strategically about business, product and technology and come up with immediate & market first product propositions.

• End to end product development functional knowledge cutting across digital shopping journeys, marketing, contact centre operations, payments etc

• Track record of building and delivering high-quality digital products and complex roadmaps, ideally across multiple product categories with geo-distributed teams

• Ability to provide clarity, cut through clutter and being decisive on priorities and metrics.

• Ability to excite people through communication and presenting data in most the ambiguous situations.

• Ability to define short term goals & metrics (sometimes on a weekly basis) and align teams on how-lists.

• Passion for technology and pro-activeness in developing and/or integrating home developed or 3rd party applications.

As a Flutter Developer, you will be in charge of reviewing the software specifications and UI mockups, developing a cross-browser mobile application from scratch, and leading the application testing effort. You'll work alongside a backend Developer, as well as a UI designer to ensure you create high-performing applications with a smooth user experience.

Roles and Responsibilities

1. Designing, developing, testing, maintaining, and deploying software in the Flutter framework and Dart language.

2. Developing user interface components and implementing them by following well-known Flutter / Dart workflows and 

  practices.

3. Communicating with product and engineering leads to implement business and project objectives.

4. Code review of team members' commits as part of CI/CD cycle.

5. Participate in testing, quality assurance and bug fixes as part of the CI/CD cycle.

Responsibilities :

• Design, develop Digital communication waveforms like QAM, QPSK, OFDM
• Simulate and analysis link budget, path loss, Noise margins, Coding gain for various path loss models.
• Should be strong in signal processing, AGC, Channel encoding, Channel estimation, Collision detection.
• Jointly work with other PHY development teams for implementing the designs.
• Should have knowledge in legacy modulation techniques like FM and AM