ML Pipeline Developer
As an ML Pipeline Developer at MaxiMize Infinium, you will build the data pipelines and ML infrastructure that power CLAIRVOYANCE CX's 89% accurate predictions and TERRAFORM-IQ's voter analytics across 18 countries. You will engineer the backbone of all 10 proprietary platforms' machine learning systems — built entirely in-house with zero third-party dependencies.
The Role
About the Role
Behind every prediction CLAIRVOYANCE CX makes and every voter insight TERRAFORM-IQ delivers is a sophisticated pipeline ingesting, transforming, and processing millions of data points in real-time. As an ML Pipeline Developer, you will build and maintain these critical systems.
Your work spans the entire ML lifecycle — from data ingestion and feature engineering through model training, deployment, and monitoring. You will build the infrastructure that enables data scientists to move from prototype to production in days, not months.
The pipelines you build must operate at sovereign scale, processing data from 18 countries across all 10 platforms while maintaining strict data sovereignty, security through CRYPTOSUITE encryption, and the reliability standards demanded by S3-SENTINEL.
What You'll Do
Responsibilities
- Design and build production ML data pipelines for CLAIRVOYANCE CX and TERRAFORM-IQ model training and inference
- Develop feature engineering systems transforming raw multi-source data into ML-ready datasets
- Build automated model training infrastructure with hyperparameter optimization and distributed training support
- Implement model deployment pipelines with A/B testing, canary releases, and rollback capabilities
- Design monitoring and alerting systems for model performance drift and data quality degradation
- Build data validation frameworks ensuring pipeline integrity across all 10 platform integrations
- Optimize pipeline performance for throughput, latency, and cost efficiency at sovereign scale
- Implement data lineage tracking and audit logging for regulatory compliance across 18 countries
- Collaborate with AI/ML engineers to translate research prototypes into production-ready pipeline components
- Document pipeline architectures, data flows, and operational runbooks for platform teams
What You Bring
Skills & Expertise
Required
- Strong proficiency in Python with experience in ML pipeline frameworks (Airflow, Kubeflow, or equivalent)
- Experience building production data pipelines with streaming and batch processing architectures
- Proficiency with cloud infrastructure and containerized ML workloads (Docker, Kubernetes)
- Solid understanding of ML lifecycle management including feature stores, model registries, and experiment tracking
- Experience with distributed computing frameworks (Spark, Dask, or Ray)
- Strong SQL skills and experience with both relational and distributed databases
Preferred
- Experience building MLOps platforms or internal ML infrastructure tools
- Knowledge of data mesh architectures and data lakehouse patterns
- Experience with GPU/TPU cluster management for distributed model training
- Understanding of data privacy frameworks and sovereign data handling requirements
- Familiarity with real-time feature serving and online prediction architectures
Requirements
Qualifications
- Bachelor's degree in Computer Science, Data Engineering, or related field
- 3+ years of experience building production data/ML pipelines
- Demonstrated experience with large-scale data processing and pipeline orchestration
- Strong understanding of software engineering best practices in data-intensive applications
Growth
What You Will Learn
- Advanced Technology Engineering operations and strategic implementation
- Client engagement leadership and stakeholder management
- Technical mentorship and team capability development
- Platform architecture decisions affecting all 18 country deployments
- Cross-platform integration expertise across all 10 proprietary systems
Career Trajectory
Growth Opportunities
The path forward is defined by impact, not tenure. Every role opens doors to greater responsibility and broader strategic influence.
Advance to Senior ML Pipeline Engineer leading pipeline architecture across all platforms
Transition into ML Platform Lead designing the organization-wide ML infrastructure
Expand into Data Platform Architect building unified data systems across 10 platforms
Progress to Director of ML Engineering shaping the ML infrastructure strategy
Career Growth Path
Built In-House
The Platform Advantage
You will work directly with proprietary platforms that are not licensed, not white-labeled, and not outsourced. Every system is forged in-house.
Proprietary platform — sovereign-scale, zero third-party dependencies.
Proprietary platform — sovereign-scale, zero third-party dependencies.
Proprietary platform — sovereign-scale, zero third-party dependencies.
Proprietary platform — sovereign-scale, zero third-party dependencies.
Proprietary platform — sovereign-scale, zero third-party dependencies.
Strategic Impact
Why This Role Matters
All 10 proprietary platforms are built entirely in-house — not licensed, not white-labeled, not outsourced. From LITHVIK N1's neural command interface (95% coordination success) to S3-SENTINEL's sovereign security (99.9999% uptime), the technology stack represents over a decade of continuous AI/ML refinement through real-world mission-critical deployment. There are zero third-party dependencies in the core platform architecture.
10
Proprietary Platforms
18
Countries Served
100%
In-House Built
What Sets Us Apart
Key Differentiators
Zero Third-Party Dependencies
Every platform is built entirely in-house. Not licensed, not white-labeled, not outsourced. Full control over every component.
Sovereign-Scale Impact
Work on technology deployed across 18 countries with real-world mission-critical applications at the highest levels.
Direct Ownership
Own your projects from day one. No bureaucratic approval chains. Your work ships directly to production environments.
Continuous Learning
Mentorship from domain experts, hands-on cross-platform exposure, and structured career progression paths across all tracks.
Our Principles
The four pillars of our work ethic — believed in, preached, and actually followed.
Commitments
We clearly commit what we can do, by when we can do it and how we would do it. And then we do it.
Confidentiality
We are extremely paranoid about protecting the confidentiality of what we do, for whom and how we do it.
Comfortability
We ensure comfortability of you and your team with ours, which can only come from complete transparency.
Capability
We keep improving our already awesome capabilities by investing all resources at our disposal.
Core Values
The principles that define how we operate, who we hire, and what we deliver.
Sovereignty First
Every engagement strengthens the strategic sovereignty of our clients. We do not create dependency — we build self-sustaining capability.
Outcome Obsession
We measure ourselves by results, not efforts. 15 out of 18 political victories. 500+ elite clients. 1,250+ projects completed. Zero security incidents.
Absolute Discretion
What happens within MaxiMize Infinium stays within MaxiMize Infinium. Compartmentalized operational workflows ensure information is shared only with those who need to know.
Technological Supremacy
Our platforms are not tools — they are instruments of strategic advantage. Built in-house, refined through real-world deployment. Not licensed. Not white-labeled. Forged.
Ethical Imperative
We operate within legal and ethical boundaries while maximizing impact. We decline projects with questionable motives.
Infinite Ambition
No ceiling on capability. No limit on scope. No boundary on ambition. We pursue outcomes that others consider impossible.
Reality of the Role
A Day in the Life
Every day as a ML Pipeline Developer at MaxiMize Infinium is different. Here is what you can expect.
Morning: Strategy and Analysis
Your day typically begins with a stand-up through LITHVIK N1, reviewing overnight data and flagging any urgent items. You will dive into analytical work — examining workflow data, running simulation models, or reviewing dashboard metrics — with full ownership of your deliverables from day one.
Collaboration happens organically. You will sync with domain experts across GOVERN G5, CEREBRAS P5, S3-SENTINEL, or whichever platforms are relevant to your current projects. There are no approval chains — just focused work with clear ownership.
Afternoon: Execution and Delivery
After lunch, the focus shifts to execution. You will be building, analyzing, or delivering — depending on where your current projects stand. Cross-functional collaboration peaks in the afternoon as teams align on deliverables and next steps.
You will engage with clients or internal stakeholders to present findings, walk through optimization recommendations, or demo new capabilities. Every presentation is an opportunity to demonstrate the direct impact of your analytical work on operational outcomes.
Evening: Reflection and Planning
The close of day is for documentation, knowledge capture, and planning tomorrow. You will update your project tracking, log key findings in our internal knowledge base, and align on priorities for the next day through LITHVIK N1's task management.
No two weeks are the same. Projects evolve, priorities shift, and new challenges emerge. You will be empowered to manage your own time and prioritize work that drives the greatest impact.
Weekly Rhythms
Each week includes team syncs, cross-track knowledge shares, and project check-ins. You will participate in structured mentorship sessions, occasional client workshops, and internal innovation sprints where new ideas are evaluated and advanced.
Performance is measured by outcomes, not hours logged. We care about the quality of your analysis, the impact of your recommendations, and how effectively you collaborate with the broader team.
Candidate Profile
Who Succeeds Here
The best ML Pipeline Developers at MaxiMize Infinium share these characteristics, regardless of background or pedigree.
Impact-Driven, Not Activity-Driven
You measure success by outcomes delivered, not hours worked. You seek problems to solve, not tasks to complete. You are energized by the chance to create measurable, lasting change.
Comfortable with Ambiguity
Our work operates at the frontier of what is technically and politically possible. You thrive in environments where problems are not well-defined and solutions require creative, cross-disciplinary thinking.
Deep Expertise with Breadth
You have genuine mastery in your domain — whether it is analytics, engineering, strategy, or design — but you are also curious about adjacent fields. The best work at MaxiMize Infinium happens at the intersection of disciplines.
Ownership Mentality
You treat every project as if it were your own company. You do not wait for instructions — you identify what needs to be done, rally the necessary resources, and drive it to completion. You take accountability for results, not just effort.
Mission Alignment
You care about the work MaxiMize Infinium does — transforming government operations, securing critical infrastructure, enabling better public services. You are motivated by more than a paycheck. You want your work to matter in the real world.
Technology Stack
Tools & Technologies
As a ML Pipeline Developer, you will work with these proprietary and industry-standard tools.
Proprietary Platforms (In-House)
Clairvoyance Cx
Proprietary — Built in-house at MaxiMize Infinium
Terraform Iq
Proprietary — Built in-house at MaxiMize Infinium
Cerebras P5
Proprietary — Built in-house at MaxiMize Infinium
Perception X2
Proprietary — Built in-house at MaxiMize Infinium
Lithvik N1
Proprietary — Built in-house at MaxiMize Infinium
Industry-Standard Tools
Data Analytics Platforms
Collaboration & Communication
Project & Task Management
Visualization & Reporting
Secure Development Environments
Cloud Infrastructure
Application Process
Interview Process
Our hiring process is thorough but respectful of your time. Here is what to expect.
Application Review
Submit your application through our portal. Our talent acquisition team reviews every submission within 5-7 business days. We look for alignment between your experience and the role requirements.
Recruiter Screen
A 30-minute phone or video call with our talent acquisition specialist. We will discuss your background, motivation for the role, career aspirations, and answer any questions you have about MaxiMize Infinium.
Technical Interview
A 60-minute deep-dive with the hiring manager and team leads. You will discuss your directly relevant experience in detail, work through scenario-based questions, and demonstrate your problem-solving approach.
Leadership Interview
A conversation with senior leadership to assess your strategic thinking, cultural alignment, and long-term potential. This is a two-way conversation — bring your questions. We want you to evaluate us too.
Offer & Onboarding
Successful candidates receive an offer within 48-72 hours of the final interview. We provide competitive compensation, comprehensive benefits, and a structured 30-60-90 day onboarding plan to set you up for success.
Platforms You'll Work With
Related Positions
Frequently Asked Questions
Behind every prediction CLAIRVOYANCE CX makes and every voter insight TERRAFORM-IQ delivers is a sophisticated pipeline ingesting, transforming, and processing millions of data points in real-time. As an ML Pipeline Developer, you will build and maintain these critical systems.
You will be part of the Technology & Engineering track, working alongside specialists across MaxiMize Infinium's 10 proprietary platforms. Our teams are cross-functional and operate with full autonomy on their domain.
This role is based in New Delhi, India. Our proprietary platforms require secure, on-premise development environments.
Every team member has access to mentorship from domain experts, hands-on project ownership from day one, and direct exposure to sovereign-scale strategic technology. Career growth follows structured progression paths across all 10 proprietary platforms.