Principal Engineer - AI (Remote)

Must have:8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.Good understanding of Generics, OOPs concepts & Design PatternsSolid engineering and coding skills. Ability to write high-performance production quality code in PythonProficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).Strong expertise in time series forecasting using stat, ML, DL and foundation modelsExperience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatmentExposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, AzureExperience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBTHands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholdersGood To Have:Experience with MLOps tools and practices for continuous integration and deployment of ML models.Has familiarity with deploying applications on KubernetesKnowledge of supply chain management principles and challenges.A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred