
Principal Machine Learning Engineer
Posted Jun 3

Posted Jun 3
This is a fully remote position, open to applicants in India.
• Develop comprehensive AI/ML/Agentic-AI solutions — encompassing ideation, research, experimentation, deployment, and production monitoring.
• Oversee project timelines, deliverables, and inter-team dependencies while collaborating with product and engineering leaders.
• Convert business and technical requirements into a structured ML roadmap, architecture, and actionable tasks.
• Promote the adoption of MLOps best practices and advocate for operational excellence in ML infrastructure.
• Create and implement models aimed at cloud workload prediction, resource optimization, and intelligent automation.
• Incorporate GenAI, LLM-based, and Agentic AI solutions into both customer-facing products and internal systems.
• Effectively convey ML strategy, advancements, and insights to both technical and non-technical stakeholders.
• BTech/BE, Master’s, or Ph.D. in Computer Science, Machine Learning, AI, or a related discipline.
• Over 10 years of experience in ML/AI/DE.
• Demonstrated success in delivering ML projects at scale in production, ideally within a SaaS/cloud infrastructure environment.
• Strong practical experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and proficiency in Python.
• Familiarity with AWS and Terraform is essential.
• Previous experience with Databricks and Spark is preferred.
• Practical experience with GenAI, LLMs, and Agentic AI frameworks (e.g., OpenAI, Hugging Face, LangChain), including real-world implementation in production.
• Flexible work arrangements.
• Opportunities for professional development.
Hyatt
Scopic
Perform
Greenlight Planet
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