- Explore, implement and deploy pipelines for deep learning, neural networks, chatbots, and image processing solutions.

- Collaborate with cross-functional teams to deliver high-quality AI projects.

- Tracking of multiple models, experiments for auditing purpose

- Collaborate with data scientists for hyper parameter tuning and features maintenance

- Model management and versioning

- Work with infra team, data scientists, business in establishing artifact lineage, model registry, governance

- Assist in testing, automated deployment

- A pipeline for triggering retraining to detect model drift or data drift, trigger retraining

- Working knowledge of AWS Lambda, Sagemaker, AWS Step Functions

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Machine Learning Operations.

- Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines

- Work with business, data scientists to ensure value realization, ROI on operationalization of models

- Strong understanding of statistical analysis and machine learning algorithms.

- Containerization, packaging of ML models

- Endpoint creation for prediction

- Experience with data visualization tools such as Tableau or Power BI.

- Hands-on experience implementing various machine learning algorithms.

- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.