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Key skills for this role
Build and maintain data pipelines connecting ERP, CRM, Slate, and the Qube Data Lake
Write complex SQL queries, design data models, and optimise analytical workloads
Use Python (pandas, dbt, SQLAlchemy) and R for data transformation, modelling, and visualisation
Support BI dashboard development with clean, well-structured data layers
Develop, train, and evaluate machine learning and deep learning models
Work on applied computer vision tasks including super-resolution (2K to 4K upscaling)
Set up GPU training pipelines, manage datasets, and track experiments (MLflow or equivalent)
Collaborate with research partners (e.g., IIT Madras) to operationalise research outputs
Build and maintain workflow automation pipelines for business process automation
Develop REST API integrations, webhooks, and event-driven pipelines between systems
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Implement and manage low-code automation tools as part of broader engineering workflows
Create reusable automation scripts and CI-friendly deployment patterns
Work closely with the Lead — Digital Transformation to translate business requirements into technical solutions
Document model performance, data schemas, API contracts, and deployment guides
Participate in architecture reviews and technical decision-making
Python — pandas, NumPy, scikit-learn, FastAPI, SQLAlchemy, Jupyter
R — data wrangling, statistical modelling, ggplot2, Shiny (for dashboards)
SQL — complex queries, window functions, CTEs; experience with data warehouses (Snowflake, BigQuery, PostgreSQL)
LLM APIs — OpenAI, Anthropic Claude API; prompt engineering, function/tool calling, RAG pipelines
REST API development and consumption; JSON, OAuth, webhook patterns
Git, GitHub/GitLab — version control, code review, CI pipelines
Linux/Bash — scripting, cron, server-side automation
Deep learning frameworks — PyTorch or TensorFlow for model training
Claude Code (Anthropic) — agentic coding, custom agent development, MCP integrations
Emergent AI — platform familiarity and agent deployment experience
n8n — workflow automation orchestration, custom nodes, API chaining
Computer vision — image super-resolution, ESRGAN, Real-ESRGAN, or similar architectures
MLflow, DVC, or similar — experiment tracking, model registry, reproducibility
Docker, containerisation — packaging models and services for deployment
Blockchain / Web3 basics — familiarity with Hedera or similar for IP/rights use cases
Vector databases — Pinecone, Weaviate, pgvector for embedding-based retrieval
B.Tech / M.Tech / M.Sc. in Computer Science, Data Science, Electrical Engineering, or related field
2–5 years of hands-on experience in AI engineering, data engineering, or applied ML roles
Strong portfolio or demonstrated experience building and shipping AI-powered products
Comfort working in a fast-paced, cross-functional team with shifting priorities
Hands-on work with frontier AI tooling — LLMs, agents, computer vision, and more
Collaboration with IIT Madras on applied research projects
Direct ownership of AI products used across thousands of cinema screens
Competitive compensation, flexible working, and a builder culture
Indian private digital cinema technology company providing software, servers, and content services to filmmakers, distributors, and exhibitors.
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Entry · 2+ years experience
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