Principal Machine Learning Engineer in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Machine Learning Engineer based in India.

This is a senior-level technical leadership role focused on designing and scaling advanced Machine Learning and GenAI systems in a cloud-native environment. You will drive end-to-end AI solution development, from research and experimentation to production deployment and monitoring. The role sits at the intersection of AI innovation, product engineering, and platform optimization, with strong emphasis on real-world impact. You will work closely with cross-functional teams including engineering, product, data, and DevOps in a matrixed setup. A key part of the role involves building intelligent systems for cloud cost optimization, workload prediction, and infrastructure automation. You will also help integrate LLMs and Agentic AI capabilities into both internal platforms and customer-facing products. This position is ideal for someone who thrives in high-scale environments and enjoys turning cutting-edge AI into production-ready systems.

• Lead the design and development of end-to-end ML, GenAI, and Agentic AI solutions from ideation to production deployment and monitoring.
• Define and translate business and technical requirements into scalable ML architectures and actionable development roadmaps.
• Build and deploy machine learning models for cloud workload prediction, resource optimization, and intelligent automation use cases.
• Drive adoption of MLOps best practices, ensuring reliability, scalability, and operational excellence of ML systems.
• Collaborate with product, engineering, and DevOps teams to manage timelines, dependencies, and successful delivery of AI initiatives.
• Integrate LLM-based and GenAI frameworks into production systems and customer-facing applications.
• Communicate technical strategy, progress, and insights effectively to both technical and non-technical stakeholders.

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 10+ years of experience in Machine Learning, AI, or Data Engineering roles, with strong production-scale delivery experience.
• Proven track record of building and deploying ML systems in SaaS, cloud, or large-scale distributed environments.
• Strong hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Solid experience with cloud platforms (AWS preferred), infrastructure as code (Terraform), and data processing tools such as Spark and Databricks.
• Practical experience with GenAI, LLMs, and Agentic AI frameworks such as OpenAI, Hugging Face, or LangChain in production environments.
• Strong leadership, communication, and stakeholder management skills in cross-functional settings.

• Opportunity to lead cutting-edge AI/ML initiatives with direct production impact.
• High-impact role influencing cloud optimization and intelligent automation at scale.
• Exposure to advanced GenAI, LLMs, and Agentic AI technologies in real-world applications.
• Collaborative, innovation-driven environment with cross-functional global teams.
• Competitive compensation package with performance-based rewards.
• Flexible work arrangements depending on team and project requirements.
• Professional growth opportunities in a fast-evolving AI and cloud technology landscape.