AI Engineer , MLOps & Production AI

Job DescriptionAs an AI Engineer, you'll transform AI prototypes and MVPs into scalable, production, grade products , ensuring the right DataOps and DevOps foundations are in place, from data ingestion and transformation through to final deployment and observability. You'll play a central role in shaping i-Genie's architecture strategy and infrastructure requirements, optimizing for delivery speed, cost, and user experience.This isn't just about keeping systems running. You'll influence real architectural decisions, redesign models and processes to eliminate technical debt, and enforce data and development standards across the team. Your infrastructure will directly underpin AI solutions used by blue, chip clients to unlock high, stakes consumer insights.What You'll Work WithCore Stack: Python, PySpark, SQLAI/ML: LLMs, NLP pipelines, model fine, tuning, AI prototype productionizationNLP Libraries: CoreNLP, OpenNLP, NLTK, Spacy, TextBlob, LLM APIsCloud & Infrastructure: Azure suite, Databricks, containers, KubernetesCollaboration: Work closely with data scientists, data engineers, and product teamsWhat We're Looking For·      5+ years solving real client problems through data science and data engineering, with strong NLP focus·      Computer Science degree (science stream)·      Python proficiency required; PySpark experience strongly preferred, at minimum, Python mastery with a working understanding of Spark·      Deep knowledge of Databricks and broad familiarity across the Azure suite·      Hands-on experience pushing products into production environments (containers, Kubernetes)·      Solid grounding in core NLP techniques and common packages (CoreNLP, OpenNLP, NLTK, Spacy, TextBlob, LLM models)·      Experience with Large Language Models in a coding context, including pipeline integration and fine-tuning·      Working knowledge of non-English text data processing·      SQL skills are a plusWhat We OfferGlobal remote work: No physical office,  work from wherever you do your best thinkingOwnership & impact: Shape the architecture powering AI products used by Fortune 100 companies and growingCompetitive compensation: Creative short and long, term packages designed to create wealth as we growCutting, edge problems: Real, world production challenges at the intersection of MLOps, LLMs, and NLPDirect business impact: Your infrastructure decisions will determine how fast and how well i-Genie delivers insights at scaleAutonomy: We trust you to deliver exceptional work on your terms

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