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Job Description & How to Apply Below
We are looking for a talented and experienced Applied AI/ML Lead to drive the development and deployment of artificial intelligence (AI) and machine learning (ML) models in real-world business applications. Your work will involve collaborating with cross-functional teams, influencing business strategies, and implementing scalable AI/ML solutions that deliver tangible business value.
As an Applied AI/ML Lead , you will:
Lead the development and deployment of AI/ML solutions in real-world business environments
Drive customer experience and personalization through intelligent models
Work closely with product, engineering, and data teams to build production-grade AI systems
Shape and mentor a growing AI/ML team
Bring AI models from experimentation → scalable, reliable deployment
What You’ll Work On
AI-driven recommendation systems, segmentation, scoring, predictive analytics
Building production-ready AI/ML pipelines
Integrating AI with real-time data platforms
Leveraging AIOps practices to improve performance and reduce MTTR
Working on AI-powered platforms like Intelli-Q & Byte Lens
What We’re Looking For
Must-Have Skills
10+ years of experience in AI/ML with 3+ years in a leadership role
Strong hands-on experience with Tensor Flow, PyTorch, scikit-learn
Experience with AWS AI/ML services (Sage Maker preferred)
Expertise in customer personalization, segmentation, recommendation systems
Strong understanding of data pipelines and real-time data integration (Kafka etc.)
Proficiency in Python for AI/ML development
Good to Have
➕ Experience with MinIO / S3 for large data handling
➕ Workflow orchestration using Airflow
➕ Exposure to LLMs and RAG-based architectures
Why Join Nomiso?
At Nomiso, you’ll get the opportunity to:
Build AI-led products and platforms with real customer impact
Work on cutting-edge areas like AI-Ops, SDLC Intelligence, and enterprise AI
Be part of a high ownership, high impact culture driven by our CODE values
Collaborate with global customers across telecom, enterprise, and digital platforms
Equal Opportunity Statement
We are committed to diversity and inclusivity.
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