About hoichoi
hoichoi is India's leading regional OTT platform — home to 650+ films, 185+ originals, and 3,000+ hours of content for over 250 million viewers worldwide. We are the digital arm of Eastern India's largest regional media & entertainment company, and we are in the middle of one of the most ambitious transformations in our history: becoming a fully AI-native company.
We are building a central data intelligence layer that aggregates signals from content, product, growth, finance, and operations — powering recommendations, audience intelligence, and business decisions across the platform. Alongside this, LoglineAI, our AI-native creative studio, is building tools that change how stories are developed, packaged, and pitched.
As AI Engineer, you sit at the centre of both: shipping models that drive platform intelligence, and building the AI backbone of an entirely new creative workflow.
What You'll Do
Platform Intelligence
- Design, train, and deploy ML models covering content recommendations, audience segmentation, content performance prediction, and subscriber lifecycle intelligence.
- Build and own pipelines that bring structured and unstructured signals into a unified intelligence layer in near real-time.
- Develop APIs and model-serving infrastructure so that AI-driven insights are directly consumable by Product, Growth, Content, and Finance teams without engineering mediation.
- Instrument, monitor, and iterate on model performance post-deployment; own A/B test design and measurement for model-driven features.
Creative AI
- Build and integrate GenAI workflows for script analysis, content tagging, logline generation, pitch summarisation, and creative ideation — used directly by production and acquisition teams.
- Fine-tune and prompt-engineer LLMs for multilingual and regional-language creative tasks; evaluate outputs for cultural authenticity and narrative coherence.
- Design retrieval-augmented generation (RAG) systems over a growing library of scripts, treatments, and IP so teams can query creative reference material naturally.
- Work with product and creative leads to translate ambiguous creative problems into well-scoped AI features; prototype fast, validate with real users, then productionise.
Platform & Infrastructure
- Maintain and evolve the shared MLOps foundation — model registry, experiment tracking, feature store, and deployment pipelines — used across the organisation.
- Champion responsible AI practices: bias audits, output logging, human-in-the-loop review gates, and explainability for model-driven decisions.
- Contribute to hoichoi's company-wide AI initiative — documenting learnings, sharing prototypes internally, and helping non-technical stakeholders understand what AI can and cannot do.
Must-Have Qualifications
- 2–6 years of hands-on experience building and deploying ML/AI systems in production — not just experimentation or notebooks.
- Strong foundation in Python; proficiency with ML frameworks (PyTorch or TensorFlow), data processing libraries (Pandas, PySpark), and REST API development.
- Practical experience with LLMs and GenAI — prompt engineering, fine-tuning, RAG architectures, and evaluating model outputs at scale.
- Experience with data pipeline tools (Airflow, dbt, or equivalent) and cloud infrastructure (AWS, GCP, or Azure); comfort with SQL and vector databases.
- Ability to work across the full stack of an AI feature: from data ingestion and model training through to serving, monitoring, and iteration.
- Default user of AI engineering tools (Claude, Cursor, LangChain, LlamaIndex, etc.) on real shipped projects — ideally with at least one example where you overrode or debugged a model's output to protect quality or accuracy.
Good-to-Have
- Familiarity with media or entertainment data — content metadata schemas, video analytics, streaming telemetry, or recommendation systems in a media context.
- Prior work with Supabase, Postgres + pgvector, or other hybrid SQL + vector database stacks.
- Exposure to creative AI use cases: script analysis, story generation, multimodal content understanding, or AI-assisted content production workflows.
Why Join hoichoi
- You will work on AI systems that directly touch over 250 million viewers worldwide — at a scale few AI engineers in India get to operate at.
- You sit at the intersection of two distinct AI mandates: platform intelligence and creative AI — a rare dual-context that sharpens generalist AI engineering skills fast.
- hoichoi is on a declared path to become an AI-native company. You will not be a support function here; AI Engineering is a first-class, strategic priority.
- Small, senior team. Your work will be visible to founders and leadership from Day 1. No ticket queues, no bureaucracy.
Culture & How We Work
At hoichoi, the best idea wins, not the biggest title. We operate in small, cross-functional teams where content, product, growth, and tech sit close together, argue productively, and occasionally steal each other's snacks. It's a lot like a kitchen during a house party: slightly chaotic, everyone's doing three things at once, but somehow the food comes out great.
Ownership here isn't a buzzword; it's the default setting. If something's broken, you don't file a ticket and wait. You're the person who notices the printer is jammed and just fixes it instead of pretending you didn't see it. We ship fast, measure what works, and iterate. Think less perfect deck and more let's see if real viewers actually care.
When big moments arrive, we stretch. But we're equally serious about keeping the pace sustainable, because burnt-out teams build neither great products nor great stories. If that sounds like your kind of chaos, we should talk.
