Sr Advanced Software Engr

Design and implement high-impact AI/ML models and workflows, ability to work on Cloud architectures and build solutions, ensuring scalability and reliability on cloud platforms such as Databricks, VertexAI, etc.

Collaborate with cross-functional teams (Data Engineering, ML Engineering, DevOps) to create holistic MLOps pipelines, leveraging frameworks such as MLflow and Kubeflow.

Conduct thorough reviews of ML models for performance, bias, and drift, proposing corrective actions.

Integrate AI (including TimeSeries, Computer Vision, NLP, GenAI/RAG/Agentic AI) solutions into existing Honeywell products, maintaining rigorous code quality standards.

Mentor junior engineers, promoting best practices in model development and deployment.

Bachelor’s or Master’s degree in Computer Science, AI, or related technical field.

6+ years of hands-on experience developing and deploying ML models in production.

Proven track record in advanced machine learning frameworks (e.g., TensorFlow, PyTorch).

Demonstrated expertise in MLOps tools and best practices (CI/CD, containerization, orchestration).

Strong Python skills, with exposure to additional languages (Scala, Java), considered a plus.