AI Solutions Architect

24 hours ago

Thrissur, Kerala, India beBeeMachineLearning Full time ₹ 21,61,280 - ₹ 25,37,760

A renowned AI and ML professional is sought by a leading provider of cloud-native data solutions to join their dynamic team.

The Opportunity

This role entails designing, developing, and deploying robust ML models and pipelines into production using strong Python and SQL expertise.

Key Responsibilities:
  • End-to-End Ownership: Develop innovative agent-driven architectures and implement scalable AI solutions valuing creative problem-solving thinking beyond standard libraries.
  • Innovate Build: Leverage mathematical foundations in linear algebra, calculus, probability, and statistics to solve challenging ML problems.
  • Algorithm Mastery: Hands-on implementation of various ML algorithms including Linear Logistic Regression Tree-based models XGBoost Clustering Anomaly Detection.
  • Geometric Spatial Reasoning: Apply geometric computation and 3D spatial reasoning to unique problem domains a key advantage in this role.
  • Drive Best Practices: Champion software excellence through Test-Driven Development TDD contributing to cloud-native AWS infrastructure.
  • Collaborate: Work cross-functionally as a senior technical member driving projects from conception to deployment.
Requirements:
  • 5+ years proven experience as a hands-on Senior AI/ML Engineer or Senior Developer Ph.D. not mandatory we value strong practical experience creativity above all.
  • Expert-level proficiency in Python SQL.
  • Demonstrated portfolio of creative problem-solving independently devising new approaches.
  • Hands-on experience designing implementing agent-driven architectures or frameworks.
  • Solid familiarity with Test-Driven Development TDD practices.
  • Experience deploying models on cloud platforms AWS highly preferred.
  • Strong background applying geometric concepts simulations spatial reasoning through code.
Nice to Have:
  • Experience with reinforcement learning RL autonomous agents.
  • Familiarity with modern MLOps tools practices Docker Kubernetes MLflow SageMaker.
  • Background in research-heavy or innovation-focused environment.

Pursue a groundbreaking project that pushes the boundaries of AI in an environment encouraging independent thinking rewarding creative solutions.

Become a part of a fast-growing US leader working on attractive salary benefits equity package projects.

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