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Creole Studios

Senior AI/ML-team Lead

Ahmadabad City, INVor OrtUnbefristetVollzeit

Veröffentlicht am 29. Sept. 2026

Diese Stelle wird in EN ausgeschrieben

Title: Senior AI/ML Lead

Date:

ASAP

Location:

Ahmedabad

Company Overview:

Creole Studios is a product-engineering partner that helps global clients turn bold ideas into real-world software. We’ve delivered 600+ web, mobile, and AI solutions for startups and enterprises alike. With demand for predictive analytics and Generative AI surging, we’re investing in a dedicated AI practice—and we’re looking for a hands-on leader to shape it. For more information you can reach on: https://www.creolestudios.com/about/

Job Description:

  • You’ll lead a 5-7-member AI team that has enthusiasm and project experience but needs seasoned guidance to reach enterprise-grade standards.
  • As Senior AI/ML Lead you will: design robust solution architectures, review code, research emerging techniques, develop PoCs, and mentor engineers—while confidently explaining those solutions to clients.
  • Your mission: turn promising prototypes into production-ready ML features that consistently exceed expectations.
  • Own solution architecture for predictive ML, LLM/Generative AI, and related services—from data ingestion to deployment and monitoring.
  • Conduct deep-dive code & design reviews, enforcing best practices in scalability, security, and performance.
  • Drive technical R&D and PoCs to validate new approaches, model choices, and MLOps workflows.
  • Mentor and upskill engineers through pair-programming, brown-bag sessions, and clear growth plans.
  • Represent the AI practice in client workshops and demos, articulating complex concepts in business-friendly language
  • Define and refine delivery processes (CI/CD, testing, observability) to ensure each release is production-ready.
  • Collaborate with cross-functional teams (PMs, Designers, Backend, DevOps) to ship end-to-end features on time.

Requirements

  • 5-7 years of professional experience in Machine Learning / AI engineering, including at least 4 years building production systems

. • Expertise in Python and JavaScript/TypeScript; solid Node.js fundamentals.

  • Proven track record with LLMs (e.g., GPT/Claude/Llama) and classical ML (regression, classification, forecasting, etc.).
  • Comfort working with any major cloud platform (AWS, GCP, or Azure) and containerizat

ion/orchestration tools (Docker, Kubernetes, etc.).

  • Hands-on experience setting up or refining MLOps pipelines (model versioning, CI/CD, monitoring).
  • Excellent communication skills—able to translate technical detail into client value and motivate internal teams. Sometimes, you may need to work US shifts or put in overtime to fulfill your responsibilities and meet client expectations Nice-to-have:
  • Certifications such as AWS Machine Learning Specialty or Google Professional ML Engineer.
  • Familiarity with frameworks like PyTorch, TensorFlow, LangChain, or vector databases.
  • Experience leading greenfield AI projects in consulting or agency environments. Leadership & Soft Skills:
  • Visionary mindset: you chart the technical roadmap and rally stakeholders behind it.
  • Servant-leader attitude: you raise the bar by growing others, not just by coding faster. • Client empathy: you’re as comfortable in the boardroom as in a Jupyter notebook.

Benefits

Employee engagement and recreational activities:

FUN FRIDAY • Annual team outing

  • 2 paid leaves every month
  • Employee Referral Scheme
  • 5 days working
  • 10 Fixed Public Holidays
  • Incentives Payroll Why Creole Studios?
  • Impact from day one: You’ll shape how AI solutions are delivered for a global client base.
  • Autonomy with support: Lead your practice backed by an agile culture and proven delivery engine.
  • Growth runway: Opportunity to build and scale a centre-of-excellence, publish R&D findings, and speak at events.
  • Competitive salary with performance-based increments. For more you can visit on: https://www.creolestudios.com/careers/

Rollenübersicht

Jobart

Vollzeit

Erforderliche Kompetenzen

Team LeadershipSolution Architecture for ML and Generative AI (data ingestion to deployment & monitoring)Code and Design Reviews (scalability, security, performance)Technical Research & R&D and PoC developmentMentoring and Engineering Upskilling (pair-programming, growth plans)Client Communication and Workshop Presentation (translate technical to business)MLOps (model versioning, CI/CD for models, monitoring)PythonJavaScript/TypeScriptNode.js fundamentalsLarge Language Models (GPT/Claude/Llama)Classical Machine Learning (regression, classification, forecasting)Cloud Platforms (AWS, GCP, or Azure)Containerization and Orchestration (Docker, Kubernetes)Familiarity with ML frameworks and tools (PyTorch, TensorFlow, LangChain, vector databases)

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