IT Analyst

What We're Looking For

MUST-HAVE

• Proven track record shipping AI/ML products — LLMs, agentic systems, NLP, or vision

• Deep understanding of transformers, embeddings, fine-tuning, and RAG — not surface-level

• GTM experience: positioning, pricing, channel strategy, and adoption metrics

• Working knowledge of at least one programming language (Python preferred)

• Ability to turn ambiguous problems into product decisions quickly

GOOD TO HAVE

• Hands-on with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)

• Background in consumer research, CPG/FMCG, or social analytics

• Experience in a zero-to-one or founding team environment

• Engineering or technical degree from a Tier 1 institution

Why Join

• Work with a CPTO who codes — no layers between your ideas and engineering

• Real clients, real scale — your product drives billion-dollar decisions at Unilever, P&G;

• Category-defining space — no dominant player in video-native consumer intelligence yet

• Small team (~132 people), startup pace, enterprise credibility

• Ownership and impact from Day 1

Role Description

This is a volunteer remote Flutter unpaid internship role at TheCodersHub. The intern will be involved in day-to-day tasks related to Flutter development, assisting in app development projects, learning new technologies, and collaborating with team members remotely.

Qualifications

• Flutter development skills
• Experience in mobile app development
• Basic knowledge of software development
• Interest in learning and growing in the tech industry
• Excellent problem-solving skills
• Ability to work independently and remotely
• Enrolled in or recent graduate from a relevant technical or computer science program

Benefits You’ll Receive:

• Live Project Experience: Work on real-world projects to boost your practical knowledge.
• Mentorship: Receive guidance from experienced developers to enhance your skills.
• Internship Certificate: Awarded upon successful completion of the internship.
• Skill Development: Improve your expertise in Flutter, state management, and project collaboration.

Experience: 6+ years building and operating production ML systems that drive commercial decisions at scale. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag05ROZwgz5AaLDG/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Terrabase builds decisioning infrastructure for enterprise customers: ranked recommendations, scoring pipelines, and policy-governed outputs that drive real commercial action. Our ML systems do not live in notebooks. They run multi-stage evaluation harnesses, apply structured governance rules, backtest against historical outcomes, and ship ranked outputs that customers act on daily.

This role owns the decisioning system end to end. That means the models, the eval harness, the policy layer, the production services, and the technical roadmap for where all of it goes next.

What You Will Do

Own the decisioning and ranking pipeline. Design, extend, and operate the end-to-end system: candidate generation in DuckDB, multi-stage scoring with LightGBM and AutoGluon, post-score policy application, and final ranked output delivery. You understand each layer well enough to debug latency, correctness, and coverage problems quickly, and to design the next version.

Lead the evaluation harness. Our eval pipeline runs multiple gates before any output ships: data health checks, specification validation, business rules enforcement, resolution checks, LLM-as-judge scoring, backtest against historical outcomes, and final output validation. You will own this harness, extend it as the system grows, and ensure every model or pipeline change is measurable and reproducible before it reaches a customer.

Apply policy logic with rigor. Our ML systems operate under structured governance rules that determine which offers apply to which customer segments, under what conditions. You will implement, test, and audit these rules in code, not configure them in a spreadsheet. Every exclusion must be traceable and explainable.

Engineer features that move metrics. Identify and build the behavioral signals, engagement indicators, contract features, and value-band attributes that improve model performance. Close the loop from feature hypothesis through offline evaluation to production monitoring. Own the data contracts between upstream sources and the scoring pipeline.

Build and maintain the production pipeline and service layer. The decisioning system is not a batch notebook. You will write and operate the Python pipeline and service layer that wraps model inference, handles edge cases, versions model artifacts, and connects to downstream consumers. You own CI, test coverage, reproducible training runs, monitoring, and production incidents.

Drive technical direction. Write design documents, lead code review, and set the engineering standard for the decisioning system. Help define the roadmap: what gets built, in what order, and why. Mentor contributors who work alongside you on this system.

Work forward-deployed. You will engage directly with customer stakeholders to understand business context, interpret model outputs, and translate commercial requirements into system constraints. You are accountable for customer delivery, not just model accuracy.

What We Are Looking For

• 6+ years building and operating production ML systems, not prototypes or research work
• Strong Python skills across the full ML lifecycle: data pipelines, feature engineering, model training, inference services, and monitoring
• Production experience with gradient boosting models (LightGBM, XGBoost)
• Hands-on with DuckDB or similar in-process analytical engines for large-scale data processing
• Evaluation discipline: held-out metrics, backtesting against historical data, multi-gate eval pipelines, LLM-as-judge patterns
• Experience applying business rules, policy overrides, or constraint layers on top of model outputs
• Engineering fundamentals: CI pipelines, data contracts, versioned artifacts, test coverage, incident response
• Technical leadership: design docs, code review, roadmap input, mentoring
• Comfort with forward-deployed work: you can run a meeting with a non-technical stakeholder and turn the output into a system requirement
• Comfort inheriting an existing production codebase, improving its structure, and raising reliability without rewriting everything from scratch

Bonus Points

• Experience with next-best-offer engines, customer-level targeting, or recommendation systems at scale
• Experience with AutoML frameworks (AutoGluon or similar) in a production scoring pipeline
• Thompson sampling, multi-armed bandits, or portfolio-level optimization experience
• Exposure to structured data from telecoms, financial services, or retail sectors
• Prior work owning a decisioning or ranking system as the technical lead

Life at Terrabase

We are a sharp, focused, fully remote team that ships to real enterprise customers weekly. You will own a system that drives measurable commercial outcomes, with high autonomy, generous cloud budgets, and a culture that prizes rigor over hype.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

·      7+ years of professional experience in front-end development.

·      5+ years of hands-on experience with React.js and its ecosystem (Redux, Context API, Hooks, etc.)

·      Strong understanding of JavaScript (ES6+), HTML5, and CSS3.

·      Experience with RESTful APIs, GraphQL, and WebSocket integration.

·      Proficiency in modern build tools (Webpack, Vite, Babel, etc.).

·      Expertise in state management libraries (Redux, MobX) and React Query.

·      Solid understanding of UI/UX principles and responsive design.

·      Experience with testing frameworks (Jest, React Testing Library, Cypress, etc.).

·      Familiarity with modern CI/CD pipelines and version control tools (Git).

Required Skills (more the better):

• PHP, Laravel, MySQL/ MariaDB, HTML5, CSS3, JavaScript, AJAX/ Fetch, jQuery, Web services and APIs
• MVC framework, Design Patterns, Authentication, Eloquent, Providers, Middleware, Supervisor, Cron Jobs, Postman etc.
• Experience of entire software development lifecycle
• Project delivery experience and has handled clients directly

• Managed a team of at least 4 developers
• Client Interaction and requirements management

Additional Skills:

• Versioning tools such as Git, Bit Bucket, and concepts like branching
• DevOps: Knowledge of operating systems, hosting and deployment on cloud platforms like Amazon Web Services, Google Cloud, Azure etc will be added advantage

Responsibilities will include:

• Writing clean, well-designed code
• Debugging code and fixing bugs
• Ensuring code quality and security by following industry standards
• Managing code repositories and deploying builds
• Contributing to all phases of the development lifecycle
• Participating in team meetings and client meetings/ calls
• Learning new technologies

Why should I join Big Rattle?

Big Rattle Technologies specializes into development of Mobile and Web applications. Our clients include Fortune 5000 companies. Over the past 9 years, we have delivered multiple projects for clients from various industries like FMCG, Restaurants, Banking and Finance, Automobiles, Ecommerce, Television and Broadcast Agencies.

You will have an opportunity to get end-to-end exposure in software design and development of products, web applications and mobile applications. You will also have opportunities to participate in the decision-making process and take leadership roles as you grow in the organisation.

The company offers benefits like

• Healthcare coverage (including Covid-19 vaccination reimbursement)
• Technical certification fee reimbursements
• Technical training fee reimbursements
• 5-day work week
• Flexible working hours
• Hybrid working